Pub Date : 2022-12-01DOI: 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
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.
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。
{"title":"C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation.","authors":"Adán José-García, Alison Sneyd, Ana Melro, Anaïs Ollagnier, Georgina Tarling, Haiyang Zhang, Mark Stevenson, Richard Everson, Rudy Arthur","doi":"10.1007/s40593-022-00317-y","DOIUrl":"10.1007/s40593-022-00317-y","url":null,"abstract":"<p><p>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.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40593-022-00317-y.</p>","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35256322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-28DOI: 10.1007/s40593-022-00312-3
Markel Sanz Ausin, Mehak Maniktala, T. Barnes, Min Chi
{"title":"The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way","authors":"Markel Sanz Ausin, Mehak Maniktala, T. Barnes, Min Chi","doi":"10.1007/s40593-022-00312-3","DOIUrl":"https://doi.org/10.1007/s40593-022-00312-3","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44055140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-28DOI: 10.1007/s40593-022-00323-0
Xiaoyu Bai, Manfred Stede
Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective self-tutoring on the other hand. In this paper, we present a survey of the latest ML approaches to the automated evaluation of students' natural language free-text, including both short answers to questions and full essays. Existing systematic literature reviews on the subject often emphasise an exhaustive and methodical study selection process and do not provide much detail on individual studies or a technical background to the task. In contrast, we present an accessible survey of the current state-of-the-art in student free-text evaluation and target a wider audience that is not necessarily familiar with the task or with ML-based text analysis in natural language processing (NLP). We motivate and contextualise the task from an application perspective, illustrate popular feature-based and neural model architectures and present a selection of the latest work in the area. We also remark on trends and challenges in the field.
近年来，将人工智能（AI）和机器学习（ML）等最新技术创新应用于教育领域的兴趣与日俱增。研究人员感兴趣的主要领域之一是利用 ML 一方面协助教师评估学生的作业，另一方面促进有效的自我辅导。在本文中，我们介绍了对学生的自然语言自由文本（包括简短的问题答案和完整的文章）进行自动评估的最新 ML 方法。有关该主题的现有系统性文献综述通常强调详尽、有条不紊的研究选择过程，并不提供有关单项研究或任务技术背景的详细信息。与此相反，我们对当前学生自由文本评价的最新进展进行了调查，并将目标对准了不一定熟悉该任务或自然语言处理（NLP）中基于 ML 的文本分析的广大读者。我们从应用的角度对任务进行了激励和背景分析，说明了流行的基于特征和神经模型的架构，并介绍了该领域的最新研究成果。我们还对该领域的趋势和挑战进行了评论。
{"title":"A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring.","authors":"Xiaoyu Bai, Manfred Stede","doi":"10.1007/s40593-022-00323-0","DOIUrl":"10.1007/s40593-022-00323-0","url":null,"abstract":"<p><p>Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective self-tutoring on the other hand. In this paper, we present a survey of the latest ML approaches to the automated evaluation of students' natural language free-text, including both short answers to questions and full essays. Existing systematic literature reviews on the subject often emphasise an exhaustive and methodical study selection process and do not provide much detail on individual studies or a technical background to the task. In contrast, we present an accessible survey of the current state-of-the-art in student free-text evaluation and target a wider audience that is not necessarily familiar with the task or with ML-based text analysis in natural language processing (NLP). We motivate and contextualise the task from an application perspective, illustrate popular feature-based and neural model architectures and present a selection of the latest work in the area. We also remark on trends and challenges in the field.</p>","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9644494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-23DOI: 10.1007/s40593-022-00318-x
Igor Kotlyar, Tina Sharifi, L. Fiksenbaum
{"title":"Assessing Teamwork Skills: Can a Computer Algorithm Match Human Experts?","authors":"Igor Kotlyar, Tina Sharifi, L. Fiksenbaum","doi":"10.1007/s40593-022-00318-x","DOIUrl":"https://doi.org/10.1007/s40593-022-00318-x","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45264372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-08DOI: 10.1007/s40593-022-00315-0
F. Bellas, Sara Guerreiro-Santalla, Martin Naya, R. Duro
{"title":"AI Curriculum for European High Schools: An Embedded Intelligence Approach","authors":"F. Bellas, Sara Guerreiro-Santalla, Martin Naya, R. Duro","doi":"10.1007/s40593-022-00315-0","DOIUrl":"https://doi.org/10.1007/s40593-022-00315-0","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49224122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-04DOI: 10.1007/s40593-022-00316-z
Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, Enkelejda Kasneci
{"title":"Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models","authors":"Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, Enkelejda Kasneci","doi":"10.1007/s40593-022-00316-z","DOIUrl":"https://doi.org/10.1007/s40593-022-00316-z","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42606041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-27DOI: 10.1007/s40593-022-00314-1
D. Touretzky, Christina Gardner-Mccune, Deborah W. Seehorn
{"title":"Machine Learning and the Five Big Ideas in AI","authors":"D. Touretzky, Christina Gardner-Mccune, Deborah W. Seehorn","doi":"10.1007/s40593-022-00314-1","DOIUrl":"https://doi.org/10.1007/s40593-022-00314-1","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48664801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-04DOI: 10.1007/s40593-022-00313-2
Shayan Doroudi
{"title":"The Intertwined Histories of Artificial Intelligence and Education","authors":"Shayan Doroudi","doi":"10.1007/s40593-022-00313-2","DOIUrl":"https://doi.org/10.1007/s40593-022-00313-2","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43177318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-14DOI: 10.1007/s40593-022-00304-3
Anne T. Ottenbreit-Leftwich, Krista D. Glazewski, Min-Kyung Jeon, Katie Jantaraweragul, C. Hmelo‐Silver, Adam Scribner, S. J. Lee, Bradford W. Mott, James Lester
{"title":"Lessons Learned for AI Education with Elementary Students and Teachers","authors":"Anne T. Ottenbreit-Leftwich, Krista D. Glazewski, Min-Kyung Jeon, Katie Jantaraweragul, C. Hmelo‐Silver, Adam Scribner, S. J. Lee, Bradford W. Mott, James Lester","doi":"10.1007/s40593-022-00304-3","DOIUrl":"https://doi.org/10.1007/s40593-022-00304-3","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48089026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-12DOI: 10.1007/s40593-022-00308-z
V. Zotov, Eric W. Kramkowski
{"title":"Moving-Target Intelligent Tutoring System for Marksmanship Training","authors":"V. Zotov, Eric W. Kramkowski","doi":"10.1007/s40593-022-00308-z","DOIUrl":"https://doi.org/10.1007/s40593-022-00308-z","url":null,"abstract":"","PeriodicalId":46637,"journal":{"name":"International Journal of Artificial Intelligence in Education","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43636522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号