Personalised Learning Design in Moodle
Autor: | Maria Boubouka, Kyparisia A. Papanikolaou |
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Rok vydání: | 2020 |
Předmět: |
Multimedia
business.industry Computer science E-learning (theory) 05 social sciences Distance education 050301 education 02 engineering and technology computer.software_genre Personalization Empirical research User experience design Management system ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Learning Management Affordance business 0503 education computer |
Zdroj: | ICALT |
DOI: | 10.1109/icalt49669.2020.00024 |
Popis: | In this paper, we explore the affordances of learning management systems like Moodle for the learning design of personalized courses. To this end, results from an empirical study with thirty-eight (38) student-teachers attending a postgraduate course on technology enhanced distance learning, are presented. Initially students used a dedicated Learning Design tool to design personalized courses and then they implemented them in Moodle. Various data sources have been analyzed such as courses created by the students, students’ perceptions on the learning design experience and a self-assessment TPACK questionnaire. The results provide evidence about the potential of the proposed approach in cultivating students’ ability in efficiently integrating technology and personalization in e-learning. Finally, strengths of Learning Design tools and Moodle in supporting the design of personalized courses as well as future goals for their development are discussed. |
Databáze: | OpenAIRE |
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