Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments

Autor: Tavakoli, Mohammadreza, Faraji, Abdolali, Mohammadreza Molavi, Mol, Stefan T., Kismihók, Gábor
Přispěvatelé: Faculteit Economie en Bedrijfskunde, Leadership and Management (ABS, FEB)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: LAK22 conference proceedings: the Twelfth International Conference on Learning Analytics & Knowledge : learning analytics for transition, disruption and social change : March 21-25, 2022, Online, Everywhere, 563-569
STARTPAGE=563;ENDPAGE=569;TITLE=LAK22 conference proceedings
Popis: Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments Informal learning procedures have been changing extremely fast over the recent decades not only due to the advent of online learning, but also due to changes in what humans need to learn to meet their various life and career goals. Consequently, online, educational platforms are expected to provide personalized, up-to-date curricula to assist learners. Therefore, in this paper, we propose an Artificial Intelligence (AI) and Crowdsourcing based approach to create and update curricula for individual learners. We show the design of this curriculum development system prototype, in which contributors receive AI-based recommendations to be able to define and update high-level learning goals, skills, and learning topics together with associated learning content. This curriculum development system was also integrated into our personalized online learning platform. To evaluate our prototype we compared experts’ opinion with our system’s recommendations, and resulted in 89%, 79%, and 93% F1-scores when recommending skills, learning topics, and educational materials respectively. Also, we interviewed eight senior level experts from educational institutions and career consulting organizations. Interviewees agreed that our curriculum development method has high potential to support authoring activities in dynamic, personalized learning environments. The paper is presented at the 22nd Learning Analytics and Knowledge Conference (LAK'22), and available here as open access: Tavakoli, M., Faraji, A., Molavi, M., T. Mol, S., & Kismihók, G. (2022). Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments. LAK22: 12th International Learning Analytics and Knowledge Conference, 563–569. https://doi.org/10.1145/3506860.3506917 The eDoer platform: http://edoer.eu/
The development of the eDoer platform is supported by the following projects: ADSEE - Applied Data Science Educational Ecosystem, European Commission - Erasmus Plus Programme, 2019-1-HR01-KA203-060984 OSCAR - Online, open learning recommendations and mentoring towards Sustainable research CAReers, European Commission - Erasmus Plus Programme, 2020-1-DE01-KA203-005713 BIPER - Business Informatics Programme Reengineering, European Commission - Erasmus Plus Programme, 2020-1-HU01-KA226-HE-093987 ADAPT - Implementation of an Adaptive Continuing Education Support System in the Professional Field of Nursing German Federal Ministry of Education and Research, BMBF - INVITE 21INVI0501 WBsmart - AI-based digital continuing education space for elderly care, German Federal Ministry of Education and Research BMBF - INVITE 21INVI2101
Databáze: OpenAIRE
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