C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation.

IF 4.7 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Artificial Intelligence in Education Pub Date : 2022-12-01 DOI:10.1007/s40593-022-00317-y

Adán José-García, Alison Sneyd, Ana Melro, Anaïs Ollagnier, Georgina Tarling, Haiyang Zhang, Mark Stevenson, Richard Everson, Rudy Arthur

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引用次数: 0

Abstract

Artificial Intelligence in Education (AIED) has witnessed significant growth over the last twenty-five years, providing a wide range of technologies to support academic, institutional, and administrative services. More recently, AIED applications have been developed to prepare students for the workforce, providing career guidance services for higher education. However, this remains challenging, especially concerning the rapidly changing labour market in the IT sector. In this paper, we introduce an AI-based solution named C3-IoC (https://c3-ioc.co.uk), which intends to help students explore career paths in IT according to their level of education, skills and prior experience. The C3-IoC presents a novel similarity metric method for relating existing job roles to a range of technical and non-technical skills. This also allows the visualisation of a job role network, placing the student within communities of job roles. Using a unique knowledge base, user skill profiling, job role matching, and visualisation modules, the C3-IoC supports students in self-evaluating their skills and understanding how they relate to emerging IT jobs.

Supplementary information: The online version contains supplementary material available at 10.1007/s40593-022-00317-y.

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查看原文本刊更多论文

C3-IoC：利用机器学习和网络可视化评估学生技能的职业指导系统。

人工智能教育（AIED）在过去的二十五年里取得了长足的发展，为学术、机构和行政服务提供了广泛的技术支持。最近，人工智能教育（AIED）应用的开发旨在帮助学生为就业做好准备，为高等教育提供职业指导服务。然而，这仍然具有挑战性，尤其是在 IT 行业瞬息万变的劳动力市场上。在本文中，我们介绍了一个基于人工智能的解决方案，名为 C3-IoC (https://c3-ioc.co.uk)，旨在帮助学生根据自己的教育水平、技能和先前经验探索 IT 行业的职业道路。C3-IoC 提出了一种新颖的相似性度量方法，可将现有工作角色与一系列技术和非技术技能联系起来。这也使得工作角色网络可视化，将学生置于工作角色社区中。利用独特的知识库、用户技能分析、工作角色匹配和可视化模块，C3-IoC 支持学生自我评估其技能，并了解这些技能与新兴 IT 工作的关系：在线版本包含补充材料，可在 10.1007/s40593-022-00317-y 上查阅。

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来源期刊

International Journal of Artificial Intelligence in Education COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

11.10

自引率

6.10%

发文量

期刊介绍： IJAIED publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modelling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. IJAIED has a very broad notion of the scope of AI and of a ''computer-based learning system'', as indicated by the following list of topics considered to be within the scope of IJAIED: adaptive and intelligent multimedia and hypermedia systemsagent-based learning environmentsAIED and teacher educationarchitectures for AIED systemsassessment and testing of learning outcomesauthoring systems and shells for AIED systemsbayesian and statistical methodscase-based systemscognitive developmentcognitive models of problem-solvingcognitive tools for learningcomputer-assisted language learningcomputer-supported collaborative learningdialogue (argumentation, explanation, negotiation, etc.) discovery environments and microworldsdistributed learning environmentseducational roboticsembedded training systemsempirical studies to inform the design of learning environmentsenvironments to support the learning of programmingevaluation of AIED systemsformal models of components of AIED systemshelp and advice systemshuman factors and interface designinstructional design principlesinstructional planningintelligent agents on the internetintelligent courseware for computer-based trainingintelligent tutoring systemsknowledge and skill acquisitionknowledge representation for instructionmodelling metacognitive skillsmodelling pedagogical interactionsmotivationnatural language interfaces for instructional systemsnetworked learning and teaching systemsneural models applied to AIED systemsperformance support systemspractical, real-world applications of AIED systemsqualitative reasoning in simulationssituated learning and cognitive apprenticeshipsocial and cultural aspects of learningstudent modelling and cognitive diagnosissupport for knowledge building communitiessupport for networked communicationtheories of learning and conceptual changetools for administration and curriculum integrationtools for the guided exploration of information resources