25/9/21

https://www.e-assessment.com/glossary-of-terms/


Adaptive Feedback

Feedback given to students on an assessment item, where the feedback is modified according to the student’s response , particularly where the response was marked as incorrect, and typically aims to provide guidance on why the answer was wrong.

 

Advanced Question Types

Advanced Question types are a level above Standard Question types. They typically require complex setup and/or marking, or they contain complex marking algorithms. Additionally, the level of interaction within the item may also be over and above that of a Standard Question Type, and therefore they could be considered as separate applications within a test.

 

Application Programming Interface

The software mechanism by which one computer program makes its functionality and data available to another computer program. For example, a test-marking program might use an API to request the correct marking key from the item bank program. APIs are widely used in internet applications where programs are distributed across different servers (for example in multi-vendor systems).

 

Assessment

An instrument (e.g. an on-screen examination) used to make a judgement about learning, skills acquisition or educational readiness or need against a set of pre-determined criteria. Assessment instruments include examinations and tests, but also portfolio and observation-based approaches to judgement.

 

Assessment Delivery System

A combination of software, hardware and communications components, as well as human processes that manage the end-to-end process of administering e-assessments. Note: this includes delivering the test package to centres, supporting the examination administration functions, delivering the assessment to the candidate, recovering their response, managing the marking and verification processes, setting standards and providing assessment outcomes. It generally does not include the writing and production of the assessment.

 

Assessment Engine

The software application that delivers an electronic test on a computer. The engine usually consists of generic components (such as a web server) and proprietary software (such as a specific e-assessment program). An e-assessment system typically consists of an assessment engine, an item bank and an item and test creation system.

 

 

 

Audio Capture Question Type

The audio question type enables the capture of sound created by the candidate. This could be spoken sentences such as in a language test, or music from a performance. Audio question types can sometimes start automatically as part of a question workflow, or be controlled by the candidate as part of evidence capture. If being used as part of language testing, it would be appropriate to combine the audio capture question with either on-screen text or sound files. Visual feedback on-screen is important so that the candidate is clear that the capture has started and is recording audio. Capture can be open ended, however this would generate larger file sizes. Consideration of file size is important, as language testing could be being conducted in a location with poor internet or power stability. Use of an on-screen avatar can sometimes help to improve the quality of the conversation, if the candidate feels like they are speaking to a real person, then the quality of the audio is less likely to suffer. Giving the candidate the opportunity to playback the capture can also be useful. Audio quality can be impacted by the confidence of the candidate, the quality of the microphone or the background noise from other candidates. Simple techniques of placing candidates completing an audio capture section of a test next to candidate undertaking a written component can be good ways of reducing background interference. The more practice a candidate has with this type of question, the better they will perform. Classed as an Advanced Question Type, audio capture questions are not typically auto-marked.

 

Authoring Tool

Software used to create items and tests for e-assessment. Note: the term is used more widely to cover tools used for creating any content for delivery on-screen (e.g. e-learning, general web pages, etc.).

 

Classical Test Theory (CTT)

CTT is a set of statistical measures relating to the performance of items within a test, and the test itself, and used to provide evidence about the quality of a test and the items within it. CTT’s most commonly used measures include facility (the difficulty of a question), discrimination (the extent to which candidates’ performance on a question mirrors their performance on the test as a whole) and Internal Reliability (the extent to which the test assesses a single construct). CTT is relatively easy to implement and understand, but it cannot distinguish between facets of the candidates and the questions (eg whether a question is hard or a candidate cohort is weak), and for this reason Modern Test Theory, including Latent Trait Theory, Rasch and Item Response Theory are increasingly widely used.

 

Competency-Based Assessment

An assessment process based on the collection of evidence on which judgements are made concerning progress towards satisfaction of fixed performance criteria which describe the competency. Note: the competency-based assessment of an individual takes no account of the performance of others in the wider group being assessed (as is the case in norm-referenced assessment), and is typically limited to a pass/fail grading (also called mastery/non-mastery). Competency testing is typically used for licence to practice assessments (for example for doctors, pilots, etc.).


 

Computer Adaptive Test

A CBA test in which successive items in the test are selected for presentation by a computer algorithm drawing primarily on the properties and content of the items, and the test taker’s response to previous items. Adaptive tests are typically used in summative tests where a more accurate test result (compared to a linear test) can be determined for a given test duration (or a shorter test can be provided). For diagnostic purposes, adaptive tests allow a more detailed exploration of strong and weak areas in a test taker’s knowledge within a given time for a test. Two key features of adaptive tests are that (a) test takers cannot return to questions once they have moved on and (b) the test taker’s responses to items must be computer-marked.

 

Computer Based Training

A term from the 1980s describing learning which is mediated by a computer (typically a stand-alone computer). Note: the modern term ‘e-learning’ differs in that there is an expectation with e-learning that more of modern computing’s capabilities (rich media, interactivity, etc.) will be used, as well as the computer’s connection to internal networks and the internet.

 

Computer-Assisted Assessment

Computer-aided assessment (or “computer-assisted assessment”) describes assessments delivered with the help of computers. This includes assessments delivered to the candidate on-screen, developed on computer but delivered on paper, marked on-screen or electronically (eg using OMR).

 

Computer-Based Assessment

A subset of CAA where the candidate is presented with the question on-screen and responds to the question using the computer.

 

Content Management System

A general web term for a software tool which manages and maintains the technical and editorial content of a website. Note: in an e-assessment setting, it describes a software tool for managing assessment content (items and tests) and will generally comprise an Authoring Tool/System and an Item Bank.

 

Delivery Method

Delivery method refers to the way in which the test is taken by the candidate, this can be online, offline, secure locked down or open book.

 

Delivery Platform

The platform being used on the client device, for example PC running windows, Linux running Ubuntu, Smartphone running Android, Apple Mac running iOS or windows etc.


 

Diagnostic Testing

Non-accredited, assessment used as part of a learning programme to identify a learner’s strengths and weaknesses with a view to providing an appropriate learning programme. Generally undertaken at the start of a programme, diagnostic assessment therefore needs to evaluate learners’ existing levels of attainment across the range of relevant knowledge, skills and understanding, so as to inform personalised learning.

 

Digital Logbooks

An online record of practice experience and skills that are assessed. The logbook often complements formal examinations.

 

Drag-And-Drop  Question Type

The Drag and Drop question type requires candidates to drag answer options into the relevant drop zones; this can be useful for a number of question scenarios.Drag and drop items can be text, video or image-based. Classed as a Standard Question type, auto-marking is possible with this question.

 

e-Assessment

E-assessment describes a range of activities where technology is used to enhance some or all elements of an educational assessment process.  Common activities are on-screen tests (the candidate reads and answers the question on-screen), electronic marking (the marker marks on screen – either a scanned candidate script or an on-screen response), remote proctoring (candidates taking on-screen tests are invigilated remotely), item banking (test questions are stored in a database and assembled into tests electronically), and e-portfolio (candidates assemble digital evidence of their learning for skills assessments).

 

E-portfolio

An e-portfolio contains digital items – ideas, evidence, reflections, feedback etc., captured on the web which someone can present to a selected audience as evidence of their learning and/or ability.

 

E-portfolio Management system

An e-portfolio assessment system enables the learning and skills of a number of individuals to be captured and assessed online.

 

Either/Or Question  Type

The Either/Or question type requires candidates to select the correct answer from two different answer options and is most often used for questions where the options are true/false or yes/no. Classed as a Standard Question type, auto-marking is possible with this question.

 

End Point Assessment

The final assessment in the UK’s reformed apprenticeship, which takes place after the student’s employer has signed off the student as ready for assessment. Typically the assessment is graded and designed to show that the student is competent across the range of skills and knowledge that have been covered during their apprenticeship.

 

Equation Entry  Question Type

The Equation Entry question type provides candidates with an equation creation tool, which allows them to enter complex equations into the answer box. Classed as a Standard Question type, auto-marking depends on the complexity of the equation and the capabilities of the technology.

 

Essay Style Question  Type

An Essay question requires the candidate to write an extended response in answer to a question. Typically, this question type will provide the candidate with text formatting features, and sometimes the ability to insert symbolic information such as equations or symbols. Due the length of time a candidate may spend on this question, it is important that their responses are securely stored at regular intervals to prevent loss of data from due to computer error. Options around the permitted response length can often be set to control the amount of information the candidate provides. It is important that the candidate is able to view all information provided either through an expanding window or scrolling. Classed as a Standard Question type, auto- marking is not possible with this question and human-marking is required.

 

Extended Matching  Question Type

The Extended Matching question type allows item authors to create questions where candidates are required to respond by making correct links between two lists of options. There are a number of linking options available within this question type: these include a one to one relationship, one to many, or many to many. Classed as a Standard Question type, auto-marking is possible with this question.

 

Familiarisation Test

A test used by either the candidate or the centre. The candidate would use the test to simulate the real assessment so that they can become familiar with the delivery interface, question types and test structure. A centre may use the test to highlight any technical or process problems ahead of the exam day.

 

File Attach Question  Type

The File Attach question type allows test providers to present candidates with a file which they can change or edit before uploading back into the test for marking. This question type is perfect for any assessment that requires candidates to use external software, such as Microsoft Word or Microsoft Excel. The files can be pre-populated with information or can be left blank. The files can be launched securely to prevent the candidate accessing additional files or other applications. Typically both the candidate’s device and the marker’s device will require a licence to the file type’s software, otherwise access to view or edit the file might not be possible. Classed as a Standard Question type, auto-marking is not normally possible with this question type and therefore requires human-marking.

 

Fill in the Blank  Question Type

The Fill in the Blank question type requires candidates to fill in blank spaces in a passage of text. Multiple answer options can be set for multiple blank spaces within a passage of text. Fill in the Blank can be used as an alternative to using the Select from a List question type. The space provided for the response typically expands to the answer given so as not to provide the candidate with a clue to the response required. Classed as a Standard Question type, auto-marking is possible with this question.

 

Hotspot Question Type

A Hotspot question requires the candidate to select one or more areas within an image. Variations of this include providing a single point answer with options for marking tolerance around the point. Multiple points can also be used along with area mapping. In most cases it would be unreasonable to expect the candidate to pick an exact pixel, therefore marking tolerance is normally recommended. Classed as a Standard Question type, automarking is possible with this question.

 

Interoperability

A feature of computer systems components which allow the components to interact to exchange information according to technical standards which define functionality useful to the user. The IMS QTI specification is an example of an interoperability specification within the e-assessment domain. IMS QTI allows the transfer of test questions (and their associated metadata) from one system to another.

 

Item Response Theory

IRT is a commonly used Modern Test Theory statistical approach to measuring the performance of candidates and test questions. Part of a wider group of Latent Trait Theory approaches (including Rasch analysis) it is based on the idea that the probability of a correct response to a question is a mathematical function of both the candidate’s ability and the item’s difficulty (in contrast to CTT where the difficulty of a question is fixed). IRT analysis is more complex to implement and interpret but provides analysts with information to distinguish between the ability of a candidate and the difficulty of an item, thereby allowing comparisons of different candidate groups and/or different tests.

 

Likert Scale Question  Type

Typically associated with surveys, the Likert Scale Question Type provides the candidate with the means to answer according to a scale (for example “Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree”). These question types are generally used in surveys. The scale may have fixed points and is therefore a horizontal MCQ, or have variable points which would therefore need a degree of marking tolerance. Classed as a Standard Question type, auto-marking is possible with this question.

 

 

Locked Down

Locked Down refers to the delivery method used during the assessment. An assessment in Locked Down mode should prevent the candidate gaining access to applications or internet sites not permitted during the assessment.

 

Manual Test  Generation

The manual (human) process by which a test instance (a test form) is generated from a bank of items (according to a formal or informal set of rules which may involve a selection algorithm and randomisation). Note: this is widely used in e-assessment settings where the candidates do not all take the test at the same time, hence a variety of tests are required (to reduce the likelihood of test and question exposure) but where known comparability is required between the tests so that fair results can be given. Also see Automated Test Generation, which is increasingly used where large numbers of test instances are required.

 

Metadata

Reference data about a piece of information (e.g. an assessment item) that enables it to be systematically stored in and retrieved from a database (e.g. an item bank) according to a variety of selection criteria. In the context of assessment, metadata might typically refer to aspects such as qualification or test specifications, curriculum content and performance statistics. Note: metadata is most useful when it conforms to an open standard, e.g. IMS LOM or QTI.

 

Mobile Learning

A type of e-learning where the learning is undertaken using a mobile ICT device (e.g. a PDA, mobile phone or smartphone, handheld computer, etc.). The availability and popularity of handheld portable devices has led to some research into the use of m-learning techniques for e-assessment.

 

Multiple Choice  Question Type

A Multiple Choice question (MCQ) gives candidates a number of answer options (“distractors”) to choose from with only one correct answer (the “key”). These are the most common on-screen question types in use within Computer-Based Testing. Text is typically used in the answer options, but images or equations may also be used. In some versions of MCQ tests, candidates may be asked to provide their confidence level that the selected answer is correct, which can then be used as part of the scoring calculation. Typically answer options are randomised to reduce assessment malpractice, however care has to be taken not to use punctuation on the last item only, or to use terms like ‘All of the above’ if the intention is to randomise the answer order. Due to the correct answer being presented on-screen, consideration is required when authoring to prevent the correct answer from standing out, e.g. candidates can sometimes guess at the ‘longest answer option’ using the logic that the author has had to be explicit in the answer. This question type may also use weighted marking, where the award for one option may be greater than another. Classed as a Standard Question type, auto-marking is possible with this question.

 

 

Multiple Response  Question Type

 

A Multiple Response question is similar to a Multiple Choice question, except more than one answer option is correct and candidates may be asked to respond by selecting all of the correct options. This type of question can sometimes use images or equations. Variations may also include combination responses and controls on how many responses can be given. Classed as a Standard Question type, auto-marking is possible with this question.

 

Navigation

In an e-assessment context, the on-screen buttons and other controls that move candidates from screen to screen in an on-screen assessment (typically, from question to question), and provide access to other non-question specific features such as on-screen help, print functions, exit, etc). They are generally visually separate from controls that relate to the specific question.

 

Non-question Items

Non-question items include: introduction pages, seen at the start of a test; information pages, which may be seen by candidates during a test; and finish pages, seen by the candidate after they have submitted completed their tests and submitted their responses. Non-question items will not have a mark assigned to them. Typically non-question items may be visible outside of a timed section of a test.

 

Non-scored Questions

A non-scored item is a question (of any type) which has been included in a test to gather performance data, but does not impact the score or result of the test for the candidate. For example, it is a common practice to pilot new questions embedded within a live test, but where the scores on the pilot items do not count toward the candidate’s score.

 

Numeric Entry  Question Type

A Numerical Entry question allows candidates to only enter numbers as the response to a question. This can either be an exact value, or within a range set by the item author. Consideration should be taken regarding any symbols which are expected with the answer, such as $, £ or €. When considering international delivery the use of commas or decimals should be considered. Classed as a Standard Question type, auto-marking is possible with this question.

 

Objective Question

A test item in which the response is evaluated against objective criteria. This might be a single simple response, such as in a multiple choice item where the criterion is whether the student has made a correct selection. It might be that the student’s response has certain properties which can be established objectively. In CAA this is usually done automatically.

 

Offline Assessment

An on-screen assessment which is conducted without using an internet connection during the test (although an internet connection may well be used to deliver the test to the client computer prior to the test starting, and to upload the candidate responses once the test has completed).

 

On programme assessment

Assessment in the UK’s reformed apprenticeship, which takes place during the apprenticeship learning programme, and prior to the student being signed off by the employer for the End Point Assessment

 

On-Demand  Assessment

Used in public examinations. Assessments where there is a high degree of flexibility in the date and time that tests can be offered to suit the student or their learning programme (although it may not necessarily include all days, times and dates). In contrast to many traditional assessments which are provided on a fixed date and time (or a limited range of dates and times).

 

On-Screen Assessment

An assessment delivered to the candidate on a computer screen, and where the candidate provides their response on-screen (for example by typing, or clicking on the correct response).

 

Online Assessment

An on-screen assessment which relies on an internet connection during the test to download subsequent questions and upload candidate responses. Sometimes termed “conducting a test live over the internet”.

 

Online/Offline  assessment application

The ability to capture and assess evidence of learning and skills to an e-portfolio when àn internet connection is unavailable and for this evidence and assessments to be added to the e-portfolio once an internet connection is established.

 

Open source e-portfolio

This is a personal learning environment mixed with social networking, that allows an individual to collect, reflect on and share their achievements and development online in a space they control.

 

Open Standards

Shared, freely available and internationally agreed standards for computer-based systems, designed to enable communication and interoperability.


 

Optical Character  Recognition

Optical Character Recognition (OCR) is a means by which a computer can recognise text and other marks in handwritten responses on paper that have been scanned, and convert these to digital format. OCR is often used in assessment to electronically mark paper responses to multiple choice tests (for example, on bubble sheets)

 

Optical Mark Reader

A device that scans paper-based tests and converts marks made by the student using pen or pencil into digital data.

 

Parameterised Item Type

An item where parts of the question are generated according to a formula embedded within the question. This randomisation is usually undertaken dynamically, using the formulae, as the test is generated or delivered to the student, in contrast to cloning where item variants are generated during authoring by use of the randomisation parameters. The term parameter refers to the variables that are used by the formula to create the item instances. Many different types of questions (e.g. MCQ, gap fill, etc.) may use parameterisation.

 

Personalisation

The configuring of an IT system by students to suit their personal requirements (e.g. selecting preferred font sizes and colours, volume levels for audio, et al). Also refers to more complex customisations of the user experience to meet personal learning needs.

 

Polytomous Item

An item having more than two response categories. For example, a 5-point Lykert type scale where items can be scored 0, 1, 2, 3, 4, or a partial credit question where candidates can score between 0 and 4 marks. Polytomous is a term typically associated with IRT and other forms of latent trait analysis.

 

Portfolio Assessment

An assessment where a student’s portfolio of assembled work is assessed. This type of assessment is distinct from a test (which is administered on a single occasion)

 

Practicability

The feasibility of an assessment in terms of operational efficiency and viability. A valid and/or reliable assessment may not be practical due to the cost or time required to carry it out. High quality assessments are valid, reliable and practicable, although there are typically trade-offs to be made between these three key elements of test quality.

 

Proprietary Software

Software requiring a licence (for which a charge is usually made) from a particular company.

 

Psychometric Test

Provides one or more measures of a candidate’s personality traits. It is most commonly used as part of the selection process for employment, or to support careers guidance. Typically it seeks to place candidates on a number of scales according to their preferred behaviours or aptitudes for aspects such as working with others, managing pressure, preferred working environment and thinking style.

 

QTI Lite

A simpler-to-implement version of the QTI technical interoperability specification for tests and items which allows tests developed in one system to be delivered to candidates on other systems (currently at version 1.2). See www.imsglobal.org/question/index.cfm#version1.2lite

 

 Question and Test Interoperability

A technical specification for tests and items which allows tests and test items to be authored and delivered on multiple systems interchangeably. It specifically relates to content providers (that is, question and test authors and publishers), developers of authoring and content management tools, assessment delivery systems and learning systems. It is designed to facilitate interoperability of assessment content between systems.

 

 Rich Feedback

Feedback which goes beyond providing the correct or model answer to an item, and a simple explanation of why the student’s selected response was wrong. Rich feedback is usually personalised to the candidate’s response and designed to deal with the underlying misconception.

 

 Select from a List  Question Type

The Select from a List question type requires candidates to select missing word(s) from a passage of text by choosing from a drop-down list of answer options. Select from a List items can often be used multiple times within a passage of text. Random ordering of the answer options may be enabled to help prevent malpractice opportunities during the assessment. Classed as a Standard Question type, auto-marking is possible with this question.

 

 Short Answer Question Type

A Short Answer question will allow candidates to respond to a question with a word or short phrase, as specified by the test author. Multiple answer variations can be provided and settings such as case sensitive can be included. Classed as a Standard Question type, auto-marking is possible with this question, although some responses may need to be human-marked.

 

 Source Materials

Source materials are files such as images, PDFs or editable material that are made available to a candidate during an assessment (for example containing reading material, formulae, etc.). It is useful for the candidate to be able to interact with this material by making notes or highlighting sections.

 

Spreadsheet Question

The Spreadsheet question type is common in assessments of accountancy. By embedding a spreadsheet within a question, the candidate does not need to access a third party application. The question can be pre-populated with data to be statically visible to the candidate or enabled for editing by the candidate. The question can also be provided to the candidate as blank so that they may present their data in a form deemed suitable. The spreadsheet question type allows the formatting of text and data, and also supports the inclusion of formulae and other common spreadsheet features. The spreadsheet question may also provide candidates with the ability to justify their responses with annotation. Classed as an Advanced Question type, auto-marking can be achieved by logic-based marking rules which can mark a fully correct answer or an answer where the calculation is correct however the source data is incorrect.

 

Standard Question  Types

Standard question types are typically QTI supported items; however, definitions vary. In some locations, standard question types like Drag and Drop can be considered Advanced. A preferred way to define standard question types is where the authoring and marking do not require complex coding, and that the item can typically be auto-marked by the computer, or marked by a human without the need for complex marking tools.

 

Table Question

Tables are commonly used for the presentation of data or to provide a means by which a candidate can record their responses in table form. The table question type can either be created by the test author and then presented as static information for the candidate, or provided as a partially completed table for editing by the candidate. The question type could also be provided as a response option alongside other options such as graphs and charts. The table question may also feature formatting of text and alignment of cells. Classed as a Standard Question type, automarking is possible with this question type.

 

Test Package

The electronic package of files in an eassessment system which includes the test content as well as any embedded applications, resources, and sometimes the test player, which is delivered to the Client PC for the student to undertake. The test package may have travelled from a central server at the Awarding Body/Certification Agency, to a local server in the test centre and then to the Client PC, and will be subject to considerable file and channel security in the case of a high stakes assessment.

 

 

Test Player or Test Driver

A piece of software which resides on the client PC and “runs” the test content package, i.e. displays the questions on-screen, collects the student responses, controls the exam clock, and access to other resources, etc. Some test players are considerably more complex than others. For example, a test player for MCQ items may be little more than some scripts embedded in standard HTML pages, whereas the test player for innovative items or a sophisticated test made up of simulations and embedded applications would be a substantial computer application in itself. Sometimes test players are pre-installed on client PC’s and sometimes they are delivered to the client PC along with the test content itself.

 

Video Capture Question Type

The video capture question type enables the capture of audio and video. Associated more with evidence-based assessment, files can either be recorded directly into the assessment or attached as evidence. Classed as an Advanced Question Type, marking would typically be undertaken on-screen by a human marker.

 

Web-Based Assessment

An assessment delivered from a server via the Internet or an Intranet (such as a centre or education authority Intranet) and where candidates access the assessments using a standard browser. If Internet-based, the assessments could be online with candidate responses delivered to the server in real time for automatic marking and immediate feedback.


 

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Auto proctoring

Auto proctoring is a form of online invigilation automated by AI (Artificial Intelligence) to prevent, detect and gather evidence of any untoward activity during an online exam. A proficient auto proctoring system considers a human proctor’s observations using an algorithm and replicates the way humans process information to make the right decisions.

Auto proctoring is an online proctoring technique that uses audio-video and screen share feeds of the exam-takers to negate any violation during an online exam. An auto-proctored online test is an incredibly flexible and convenient option for students and a highly scalable approach for institutes. It is guided by AI (Artificial Intelligence) to prevent, detect and gather evidence of any untoward activity.

AI Based Proctoring

AI-based proctoring leverages Artificial Intelligence (AI) to predict, flag and register even the minutest of discrepancies and suspicion to prevent cheating during online examinations. Some of the many AI flags include distracted eye movements, the candidate not visible, detection of an unauthorized device, another person’s presence, etc.

AI-based proctoring is a process that assesses a test-taking individual’s behavior, environment and movement, similar to a human proctor. In AI-based proctoring, the AI algorithm is trained by experts to predict, flag and register even the minutest of discrepancies and suspicion. Certain AI flags include distracted eye movements, the candidate not visible, partial visibility, detection of an unauthorized device, another person’s presence, the person speaking not visible on the camera, opening any unauthorized website etc.

Exam Monitoring

Exam monitoring is the ability to monitor exams from a remote location anywhere in the world. Using a webcam, a microphone-compatible computer and an uninterrupted internet connection, online invigilators monitor students in real-time and intervene upon observing anything suspicious to ensure maintaining the assessment’s sanctity.

Exam monitoring, also known as remote invigilation, is akin to an actual classroom setting which is proctor-monitored from a place of their choosing. Exam monitoring is undertaken in real-time, and proctors intervene upon observing anything suspicious. An exam monitoring system simplifies the entire examination process for both educators and students in technology and convenience while lending fairness and feasibility to the invigilation process.

Exam Invigilation

Exam invigilation is a process of online invigilation of students via a webcam and internet. Akin to the physical setting, exam invigilation is undertaken in real-time and online proctors intervene upon observing anything suspicious. It is also referred to as online exam monitoring.

Exam invigilation refers to the process of online exam monitoring wherein an invigilator uses a host of anti-cheating tools and AI-powered software to supervise students online. During exam invigilation, invigilators ensure that students don’t indulge in unfair means, such as copying, whispering, signaling, using the internet or accessing gadgets of any kind that can hamper the integrity of an online exam.

Human Proctoring

Human proctoring refers to an online invigilation process wherein an experienced proctor monitors one or multiple test-takers throughout an exam to ensure cheating-free online evaluation. In human proctoring, the proctor is trained with technology and is well-versed with the entire online exam proctoring system to facilitate a glitch-free and seamless examination-taking experience.

Human proctoring is an online proctoring technique wherein a trained third-party professional or unbiased faculty and staff members are asked to monitor the test-takers online. These experienced human proctors adhere to stringent protocols. They validate a test-taker’s identity, preserve the online environment’s integrity and secure the test-taking experience. Human proctors also continually communicate with test-takers to solve concerns. Human proctoring can be humanly-operated or AI-assisted, as required.

Image Proctoring

Image proctoring refers to taking snapshots/live images of test-takers’ screens and their presence in front of the camera at random or regular intervals. These images taken through the system’s webcams are time-stamped and stored on the cloud for a more convenient review at any desired time.

Image proctoring is a type of auto proctoring technique that captures test-takers’ photos in real-time when they appear for a test. The images captured are then matched with a pre-stored photo to assess whether the right person is taking the test. Image proctoring also comes in handy to check for the presence of any unauthorized gadget or an unauthorized person near the exam-taker who can help him/her cheat.

Lockdown Browser

Lockdown browser is an advanced technology that locks down test-takers’ testing environment and restricts on-screen cheating during an online exam. Browsing, impromptu searching or accessing toolbars and UI controls – everything is barred for securing the exam-taking process. A test-taker can only move out of the lockdown browser once the test is completed and submitted.

Lockdown Browser is a customized browser setting that prevents any form of digital or on-screen cheating during an online exam. A lockdown browser runs full screen on the system. Hence, a student cannot move out of the window or access any unauthorized application without permission. A lockdown browser also prevents keyboard functions and shortcuts, removes browsing and toolbar options and disables external ports to ensure a safe online exam environment.

Online Exam

An online exam is a type of virtual exam undertaken on a computer device (desktop, laptop) using the internet. One can give and take an online examination from any location remotely. Most online exams are invigilated either through human proctors or through various types of proctoring software or using a mix of the two.

Online exams, also known as virtual exams, enables examiners to conduct exams using the internet for remote candidates. In an online examination, candidates are expected to answer the questions on their systems. The test window closes once the exam is over. An online exam does not have to be in an MCQ format – it can be written in any desired form.

Proctoring Tools

Proctoring tools are software tools that ensure the administration of online exams with high exam integrity, devoid of cheating instances. Various cutting-edge remote proctoring tools on the market have enabled universities, colleges and centers for education to conduct cheating-free online exams simultaneously in different parts of the world.

Proctoring tools are used to ensure an online exam’s integrity, credibility and authenticity by clamping down on cheating instances. Proctoring tools use the latest technology to analyze a test-taker’s behavior, computer screen and environment. Hence, they’ve become critical components to overcoming disruptions and ensuring learning and education continuity. Some popular proctoring tools include a secure exam browser, AI-powered audio and video proctoring and AI-proctored supervision.

Proctoring Services

Proctoring services are a host of online solutions that safeguard the integrity of online remote exams by clamping down on instances of cheating. Some essential remote proctoring services include AI-based auto-proctoring, live proctoring and record and review proctoring. Tools such as secure browsers also lend additional security to the assessment process.

Online proctoring services involve using advanced technologies, such as auto-monitoring of video, images and audio of candidates, to invigilate and prevent them from indulging in unacceptable or unethical behavior when taking an online exam. Proctoring services continue to shape the world of examination with their high-tech mechanisms, ensuring academic integrity, exam credibility and cheat-proof evaluation drives.

Proctor

A proctor is an experienced and trained professional who monitors students online during their exams, from start to finish. An experienced online proctor’s vigilance during a live proctored exam creates a cheating-free environment. In modern proctoring systems, exam proctors utilize AI that raises a flag each time something is out of the ordinary.

A proctor provides utmost accountability to the online exam process by ensuring strict supervision over exam-takers. Online proctors monitor with a one-to-many or a one-to-one view of the students via webcams and microphones. And if they find anything suspicious during the online proctoring session, they can intervene and solve the issue in real-time. Anyone cannot proctor an exam. Only trained and experienced proctors, well-versed in technology and with the entire exam proctoring system, are employed to proctor exams online.

Proctoring System

An online proctoring system is an advanced AI integrated system developed to ensure a secure test environment when a test-taker writes an online test remotely. Anti-cheating proctoring tools, proctoring integration with any LMS, and the ability to detect cheating instances with optimum reliability form the crux of an ideal proctoring system.

Proctoring system is an entire process concerning online proctoring. It is an advanced setup, combining AI-powered services and tools that secure the test environment when a test-taker writes an online test remotely. An online proctoring system serves the needs of academia and students as it streamlines and automates the process of conducting secure examinations, from authenticating, invigilating and measuring credibility.

Proctoring Solution

An online proctoring solution is defined as the process of hosting safe virtual exams. It is the answer to academia’s problem associated with maintaining integrity during an online exam. A remote proctoring solution allows students to take an exam from anywhere globally, including their homes. By monitoring their behavior, screen and environment, an online proctoring solution ensures a seamless and cheat-proof examination process.

An online proctoring solution is used to conduct online assessments, seamlessly and effectively, with high exam integrity. An ideal remote proctoring solution regulates the examination environment by eliminating any chance of impersonation, providing browser lockdown technology and ensuring academic integrity with its anti-cheating tools. An online proctoring solution can be undertaken in one of the three ways: auto proctoring, live proctoring or record and review proctoring.

Proctoring Software

Online proctoring software helps test administrators create a secure testing environment by curbing instances of academic dishonesty. An ideal online proctoring software authenticates test-takers’ identity, invigilates their screens, behaviors and environment using an advanced AI mechanism and ensures generating the most reliable exam result.

An online proctoring software helps maintain an online exam’s sanctity by verifying test-takers’ identities, locking down web browsers and monitoring their behavior remotely throughout the test. One can manage data safety concerns and other integrity and management issues across time zones by employing an ideal proctoring software.

Proctored Exam/Test

Proctor exam test is a term used to define an online assessment that employs a tech-enabled monitoring software to supervise a test-taker from start to finish. A proctored exam uses a combination of video and audio to prevent cheating. It enables candidates to take their exam remotely, at the place of their choosing, provided it is exam-friendly.

A proctor exam/ test is an online proctored exam supervised by proctoring software using participants’ desktops, webcams, audios and videos. Software collates data, analyses it thoroughly and generates a result, informing a proctor about students’ sincerity in taking an exam. A proctor exam/test provides utmost strictness to an examination drive and eliminates any unwanted incident.

Remote Proctoring

Online remote proctoring is the act of invigilating an online exam from any location to clamp down on aberrant behavior or cheating instances to ensure a cheat-free assessment environment. A remotely proctored exam is administered by experienced human proctors, an AI Algorithm, or both to maintain any examination process’s integrity.

Online remote proctoring has empowered countless universities and institutes worldwide to reinvent their examination processes and continue with their established academic schedules. Their experience of leveraging proctoring technology to build a scalable, secure and credible online examination solution has enabled them to mitigate genuine challenges and concerns related to examinations and continuity. Online remote proctoring comprises live proctoring, automated proctoring, recorded proctoring and hybrid proctoring.

Safe Exam Browser

A safe exam browser is a web-based lockdown browser that converts any system into a secure workstation. This feature doesn’t allow test-takers to venture outside of the test environment, which automatically stops applicants from using software and tools such as screen-sharing, additional tabs and browsers, etc.

A safe exam browser is a next-generation anti-cheating lockdown browser that eliminates students’ ability to cheat by creating a highly secure and controlled examination environment online. It prevents users from opening any website, restricts access to unauthorized resources, and controls system functions during an online examination. It runs on any computer or device integrated with any web-based LMS connected to the internet.

Smart Proctoring

Smart proctoring is a technology-based system to ensure credible online examination drives through cheating detection and prevention. Robust proctoring tools’ integration with LMSs and the ability to detect cheating instances with optimum reliability define the principal contours of a smart proctoring system.

A smart proctoring system harnesses the power of Artificial Intelligence (AI) to predict, flag and register even the minutest of discrepancies and suspicion in an online exam. Smart proctoring does not need continual human intervention to prevent chances of cheating during online examinations. Some smart proctoring flags include distracted eye movements, the candidate not visible, detection of an unauthorized device, another person’s presence, etc.

Video Proctoring

Online video proctoring means that a test-taker’s entire proctoring session is either being streamed live or being recorded by the system automatically, using a webcam. The exam administrator closely monitors video details to examine suspicious activities during an online exam.

Video proctoring is a type of auto-proctoring technique in which a webcam is used to monitor a candidate present on the screen and his/her surroundings via a video feed. The video is available live, in real-time, as well as recorded and stored on the cloud. Only authorized personnel are granted access to review the recorded version where he/she can check for any anomaly during the online exam.

Virtual Assessment Center

A virtual assessment center is a fully online simulation of a traditional assessment center, which replicates real-life workplace situations to evaluate participants’ skills and behaviors in a controlled environment to make crucial hiring decisions and develop and identify organizational talent. Designed to measure multiple skills and competencies, virtual assessment centers use a combination of exercises, activities, tests, role-plays, simulators, interviews, etc., in the digital format, administered individually or in groups.

Virtual assessment centers, also known as e-assessment centers, are administered online, optimally utilizing new-age technologies to achieve comprehensive and efficient results without compromising the process’s credibility and effectiveness. Virtual assessment centers deploy a complete suite of online tools to match employees to a particular role, defined by a specific set of competencies. Virtual assessment centers are instrumental in the remote work setting to keep employees motivated by investing in their upskilling and development.

 

 

 

 

 

9/7/21

DigCompEdu. Foreword

This study presents a framework for the development of educators’ digital competence in Europe. It aims to help Member States in their efforts to promote the digital competence of their citizens and boost innovation in education. The framework is intended to support national, regional and local efforts in fostering educators’ digital competence, by offering a common frame of reference, with a common language and logic.

 

JRC research on Learning and Skills for the Digital Era started in 2005. The aim was to provide evidence-based policy support to the European Commission on harnessing the potential of digital technologies to encourage innovation in education and training practices; improve access to lifelong learning; and impart the new (digital) skills and competences needed for employment, personal development and social inclusion. More than 20 major studies have been undertaken on these issues, resulting in more than 120 different publications.

 

Recent work on capacity building for the digital transformation of education and learning, and for the changing requirements for skills and competences has focussed on the development of digital competence frameworks for citizens (DigComp), educational organisations (DigCompOrg) and consumers (DigCompConsumers). A framework for opening-up Higher Education Institutions (OpenEdu) was also published in 2016, along with a competence framework for entrepreneurship (EntreComp). Some of these frameworks are accompanied by (self-)assessment instruments. Additional research has been undertaken on Learning Analytics, MOOCs (MOOCKnowledge, MOOCs4inclusion), Computational thinking (Computhink) and policies for the integration and innovative use of digital technologies in education (DigEduPol). A study on blockchain for education is also underway.

 

More information on all these studies can be found on the JRC Science hub:

 

https://ec.europa.eu/jrc/en/research-topic/learning-and-skills.

 

Yves Punie

 

Deputy Head of Unit

 

DG JRC Unit Human Capital and Employment

 

European Commission


 

 


15/1/12

10 kỹ năng mềm để sống và làm việc hiệu quả

Năm nào nước ta cũng có rất nhiều giải vàng, giải bạc quốc tế - điều mà nhiều nước trong khu vực phải ghen tị. Nhưng mỗi khi nói về năng lực của lao động VN thì chắc chắn chúng ta dừng ở một vị trí đáng buồn. Tại sao lại thế? Rõ ràng là có một khoảng hẫng hụt lớn giữa cái được dạy và nhu cầu xã hội, thực tế sản xuất kinh doanh.

Trong hội nghị với bộ Đại học, UNESCO đề xướng mục đích học tập: “Học để biết, học để làm, học để chung sống, học để tự khẳng định mình”. Trường học chúng ta hiện đang nặng về học để biết, nghĩa là chỉ đạt được một trong bốn mục tiêu của UNESCO.


Ngân hàng Thế giới gọi thế kỷ 21 là kỷ nguyên của kinh tế dựa vào kỹ năng - Skills Based Economy (http://www.librarything.com/work/5395375). Năng lực của con người được đánh giá trên cả 3 khía cạnh: kiến thức, kỹ năng và thái độ. Các nhà khoa học thế giới cho rằng: để thành đạt trong cuộc sống thì kỹ năng mềm (trí tuệ cảm xúc) chiếm 85%, kỹ năng cứng (trí tuệ logic) chỉ chiếm 15% (http://www.softskillsinstitution.com/faq.htm).


Chúng ta đã bước vào thế kỷ 21 đã 10 năm, thế mà chương trình đào tạo và việc đánh giá năng lực của học sinh, sinh viên vẫn dựa chủ yếu vào kiến thức. Peter M. Senge nói “Vũ khí cạnh tranh mạnh nhất là học nhanh hơn đối thủ”. Rõ ràng muốn tăng cường năng lực cạnh tranh chúng ta không những phải học nhanh mà phải học đúng.


Ngày xưa, nhà trường là nơi duy nhất để ta có thể tiếp cận với kiến thức. Thế giới ngày càng phẳng hơn, nhờ internet mọi người đều có thể tiếp cận được thông tin, dữ liệu một cách bình đẳng, mọi lúc, mọi nơi. Kiến thức ngày càng nhiều và từ việc có kiến thức đến thực hiện một công việc để có kết quả cụ thể không phải chỉ có kiến thức là được. Từ biết đến hiểu, đến làm việc chuyên nghiệp với năng suất cao là một khoảng cách rất lớn. Vậy câu hỏi đặt ra là: “Kỹ năng nào là cần thiết cho mỗi con người để thành công trong công việc và cuộc sống?”


Tại Mỹ, Bộ Lao động Mỹ (The U.S. Department of Labor) cùng Hiệp hội Đào tạo và Phát triển Mỹ (The American Society of Training and Development) gần đây đã thực hiện một cuộc nghiên cứu về các kỹ năng cơ bản trong công việc. Kết luận được đưa ra là có 13 kỹ năng cơ bản cần thiết để thành công trong công việc:

1. Kỹ năng học và tự học (learning to learn)

2. Kỹ năng lắng nghe (Listening skills)

3. Kỹ năng thuyết trình (Oral communication skills)

4. Kỹ năng giải quyết vấn đề (Problem solving skills)

5. Kỹ năng tư duy sáng tạo (Creative thinking skills)

6. Kỹ năng quản lý bản thân và tinh thần tự tôn (Self esteem)

7. Kỹ năng đặt mục tiêu/ tạo động lực làm việc (Goal setting/ motivation skills)

8. Kỹ năng phát triển cá nhân và sự nghiệp (Personal and career development skills)

9. Kỹ năng giao tiếp ứng xử và tạo lập quan hệ (Interpersonal skills)

10. Kỹ năng làm việc đồng đội (Teamwork)

11. Kỹ năng đàm phán (Negotiation skills)

12. Kỹ năng tổ chức công việc hiệu quả (Organizational effectiveness)

13. Kỹ năng lãnh đạo bản thân (Leadership skills)


Năm 1989, Bộ Lao động Mỹ cũng đã thành lập một Ủy ban Thư ký về Rèn luyện các Kỹ năng Cần thiết (The Secretary’s Commission on Achieving Necessary Skills - SCANS). Thành viên của ủy ban này đến từ nhiều lĩnh vực khác nhau như giáo dục, kinh doanh, doanh nhân, người lao động, công chức… nhằm mục đích “thúc đẩy nền kinh tế bằng nguồn lao động kỹ năng cao và công việc thu nhập cao”. (http://wdr.doleta.gov/SCANS/)


Tại Úc, Hội đồng Kinh doanh Úc (The Business Council of Australia - BCA) và Phòng thương mại và công nghiệp Úc (the Australian Chamber of Commerce and Industry - ACCI) với sự bảo trợ của Bộ Giáo dục, Đào tạo và Khoa học (the Department of Education, Science and Training - DEST) và Hội đồng giáo dục quốc gia Úc (the Australian National Training Authority - ANTA) đã xuất bản cuốn “Kỹ năng hành nghề cho tương lai” (năm 2002). Cuốn sách cho thấy các kỹ năng và kiến thức mà người sử dụng lao động yêu cầu bắt buộc phải có. Kỹ năng hành nghề (employability skills) là các kỹ năng cần thiết không chỉ để có được việc làm mà còn để tiến bộ trong tổ chức thông qua việc phát huy tiềm năng cá nhân và đóng góp vào định hướng chiến lược của tổ chức. Các kỹ năng hành nghề bao gồm có 8 kỹ năng như sau:

1. Kỹ năng giao tiếp (Communication skills)

2. Kỹ năng làm việc đồng đội (Teamwork skills)

3. Kỹ năng giải quyết vấn đề (Problem solving skills)

4. Kỹ năng sáng tạo và mạo hiểm (Initiative and enterprise skills)

5. Kỹ năng lập kế hoạch và tổ chức công việc (Planning and organising skills)

6. Kỹ năng quản lý bản thân (Self-management skills)

7. Kỹ năng học tập (Learning skills)

8. Kỹ năng công nghệ (Technology skills)

(Nguồn: http://www.acci.asn.au/text_files/issues_papers/Employ_Educ/ee21.pdf)


Chính phủ Canada cũng có một bộ phụ trách về việc phát triển kỹ năng cho người lao động. Bộ Phát triển Nguồn Nhân lực và Kỹ năng Canada (Human Resources and Skills Development Canada - HRSDC) có nhiệm vụ xây dựng nguồn nhân lực mạnh và có năng lực cạnh tranh, giúp người Canada nâng cao năng lực ra quyết định và năng suất làm việc để nâng cao chất lượng cuộc sống. Bộ này cũng có những nghiên cứu để đưa ra danh sách các kỹ năng cần thiết đối với người lao động. Conference Board of Canada là một tổ chức phi lợi nhuận của Canada dành riêng cho nghiên cứu và phân tích các xu hướng kinh tế, cũng như năng lực hoạt động các tổ chức và các vấn đề chính sách công cộng. Tổ chức này cũng đã có nghiên cứu và đưa ra danh sách các kỹ năng hành nghề cho thế kỷ 21 (Employability Skills 2000+) bao gồm cá kỹ năng như:

1. Kỹ năng giao tiếp (Communication)

2. Kỹ năng giải quyết vấn đề (Problem solving)

3. Kỹ năng tư duy và hành vi tích cực (Positive attitudes and behaviours)

4. Kỹ năng thích ứng (Adaptability)

5. Kỹ năng làm việc với con người (Working with others)

6. Kỹ năng nghiên cứu khoa học, công nghệ và toán (Science, technology and mathematics skills)

(Nguồn: http://www.dest.gov.au/NR/rdonlyres/4E332FD9-B268-443D-866C-621D02265C3A/2212/final_report.pdf)


Chính phủ Anh cũng có cơ quan chuyên trách về phát triển kỹ năng cho người lao động. Bộ Đổi mới, Đại học và Kỹ năng được chính chủ thành lập từ ngày 28/6/2007, đến tháng 6/2009 thì được ghép với Bộ Kinh tế, Doanh nghiệp và Đổi mới Pháp chế để tạo nên bộ mới là Bộ Kinh tế, Đổi mới và Kỹ năng. Bộ này chịu trách nhiệm về các vấn đề liên quan đến việc học tập của người lớn, một phần của giáo dục nâng cao, kỹ năng, khoa học và đổi mới. (Nguồn: http://www.dius.gov.uk/). Cơ quan chứng nhận chương trình và tiêu chuẩn (Qualification and Curriculum Authority) cũng đưa ra danh sách các kỹ năng quan trọng bao gồm:

1. Kỹ năng tính toán (Application of number)

2. Kỹ năng giao tiếp (Communication)

3. Kỹ năng tự học và nâng cao năng lực cá nhân (Improving own learning and performance)

4. Kỹ năng sử dụng công nghệ thông tin và truyền thông (Information and communication technology)

5. Kỹ năng giải quyết vấn đề (Problem solving)

6. Kỹ năng làm việc với con người (Working with others)


Chính phủ Singapore có Cục phát triển lao động WDA (Workforce Development Agency) WDA đã thiết lập hệ thống các kỹ năng hành nghề ESS (Singapore Employability Skills System) gồm 10 kỹ năng (http://wsq.wda.gov.sg/GenericSkills/):

1. Kỹ năng công sở và tính toán (Workplace literacy & numeracy)

2. Kỹ năng sử dụng công nghệ thông tin và truyền thông (Information & communications technology)

3. Kỹ năng giải quyết vấn đề và ra quyết định (Problem solving & decision making)

4. Kỹ năng sáng tạo và mạo hiểm (Initiative & enterprise)

5. Kỹ năng giao tiếp và quản lý quan hệ (Communication & relationship management)

6. Kỹ năng học tập suốt đời (Lifelong learning)

7. Kỹ năng tư duy mở toàn cầu (Global mindset)

8. Kỹ năng tự quản lý bản thân (Self-management)

9. Kỹ năng tổ chức công việc (Workplace-related life skills)

10. Kỹ năng an toàn lao động và vệ sinh sức khỏe (Health & workplace safety).

Trong WDA còn có Trung tâm kỹ năng hành nghề (The Centre for Employability Skills (CES)) để đánh giá hệ và hỗ trợ đào tạo kỹ năng.


Ở Việt Nam, các kỹ năng chưa được chú trọng trong hệ thống giáo dục cũng như trong cuộc sống. Hình như nền giáo dục của chúng ta đang dựa trên một giả định “người ta biết thì người ta sẽ làm được”. Và vì vậy họ cứ cố dạy cho học sinh, sinh viên thật nhiều kiến thức hòng làm được việc khi ra trường. Nhưng thực tế đâu có vậy, từ biết đến hiểu là một khoảng cách rất xa, và từ hiểu đến làm việc chuyên nghiệp với năng suất cao là một khoảng cách còn xa hơn nữa. Điều này dẫn đến một thực trạng là sinh viên khi ra trường biết nhiều kiến thức nhưng lại không có khả năng làm việc cụ thể. Chỉ vài năm gần đây, các phương tiện thông tin đại chúng mới nhắc nhiều đến cụm từ “kỹ năng” và “kỹ năng mềm”.


Kỹ năng là khả năng thực hiện một công việc nhất định, trong một hoàn cảnh, điều kiện nhất định, đạt được một chỉ tiêu nhất định. Các kỹ năng có thể là kỹ năng nghề nghiệp (các kỹ năng kỹ thuật cụ thể như hàn, tiện, đánh máy, lái xe, lãnh đạo, quản lý, giám sát…) và kỹ năng sống (các kỹ năng giao tiếp, ứng xử, tư duy, giải quyết xung đột, hợp tác, chia sẻ…). Mỗi người học nghề khác nhau thì có các kỹ năng khác nhau nhưng các kỹ năng sống là các kỹ năng cơ bản thì bất cứ ai làm nghề gì cũng cần phải có.


Chúng ta tự hào về nguồn lao động dồi dào. Nhưng đó mới chỉ là số lượng. Chất lượng lao động mới là vấn đề đáng bàn. Theo bà Nguyễn Thị Hằng (nguyên Bộ trưởng Bộ LĐ, TB & XH, Chủ tịch hội dạy nghề VN), hiện nay, Việt Nam còn đến hơn 50% lao động trong tổng số hơn 10 triệu lao động chưa qua đào tạo cơ bản chính quy, mà chủ yếu là vừa học vừa làm hoặc làm những công việc đơn giản. Điều đó cho chúng ta thấy bức tranh tổng thể về kỹ năng nghề nghiệp của lực lượng lao động không có gì là sáng sủa cho lắm và còn nhiều việc phải làm để có một bức tranh tươi sáng hơn. Điều tối thiểu phải biết (nhưng lại không phải ai cũng biết), là xã hội bây giờ sử dụng sản phẩm dùng được, chứ không sử dụng khả năng hay bằng cấp của con người. Anh không có kỹ năng đánh máy, thì có thuộc lòng 10 quyển sách về Microsoft Office cũng vô nghĩa. Anh không thiết kế nổi một cái nhà bình thường 3 tầng, thì có tốt nghiệp xuất sắc trường Kiến trúc cũng vô nghĩa.


Tổng hợp các nghiên cứu của các nước và thực tế VN, 10 kỹ năng sau là căn bản và quan trọng hàng đầu cho người lao động trong thời đại ngày nay:

1. Kỹ năng học và tự học (Learning to learn)

2. Kỹ năng lãnh đạo bản thân và hình ảnh cá nhân (Self leadership & Personal branding)

3. Kỹ năng tư duy sáng tạo và mạo hiểm (Initiative and enterprise skills)

4. Kỹ năng lập kế hoạch và tổ chức công việc (Planning and organising skills)

5. Kỹ năng lắng nghe (Listening skills)

6. Kỹ năng thuyết trình (Presentation skills)

7. Kỹ năng giao tiếp và ứng xử (Interpersonal skills)

8. Kỹ năng giải quyết vấn đề (Problem solving skills)

9. Kỹ năng làm việc đồng đội (Teamwork)

10. Kỹ năng đàm phán (Negotiation skills)


Như vậy ngoài những kiến thức chuyên môn, người lao động cần phải được trang bị thêm các kỹ năng hành nghề để đảm bảo có được việc làm mà còn để tiến bộ trong tổ chức thông qua việc phát huy tiềm năng cá nhân và đóng góp vào định hướng chiến lược của tổ chức góp phần vào sự nghiệp công nghiệp hóa, hiện đại hóa đất nước.


Lâu nay chúng ta chỉ nghĩ đến xuất khẩu lao động, nhưng một thực tế mới đang thách đố người lao động VN là trong thời kỳ khủng hoảng người nước ngoài đang đến tranh chỗ làm việc của ta. Chúng ta có thể bị thua ngay trên sân nhà.


Rõ ràng 10 kỹ năng mềm thiết yếu này không những chỉ giúp người lao động nâng cao năng suất, hiệu quả công việc mà thực chất là giúp ích rất nhiều trong mọi khía cạch cuộc sống ở gia đình ngoài xã hội tại công sở, nâng cao đáng kể chất lượng cuộc sống và văn hóa xã hội, góp phần thay đổi diện mạo con người VN.


Học hỏi kinh nghiệm từ các nước công nghiệp tiên tiến, nhà nước cần phải xây dựng một chương trình quốc gia về kỹ năng mềm, thành lập một cơ quan chuyên trách xây dựng hệ thống kỹ năng, đào tạo và giám sát chất lượng năng lực của lực lượng lao động. Chúng ta đã bước vào kỷ nguyên kinh tế tri thức. Trong kỷ nguyên kinh tế tri thức thì nguồn vốn con người là quan trọng nhất. “Không thể giải quyết vấn đề mới bằng chuẩn mực cũ” Không thể ngồi hô hào về cải cách giáo dục mà phải có biện pháp cụ thể để nâng cao năng lực của mỗi người dân, nâng cao năng lực cạnh tranh của VN.


Phan Quốc Việt

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