Design and Evaluate Immersive Learning Experience for Massive Open Online Courses (MOOCs)
| Autor: | Horace H. S. Ip, Ka-Fai Ma, Selena Leoni, Yangbin Chen, Chen Li, Qing Li, Calvin Hoi-to Wong |
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| Rok vydání: | 2019 |
| Předmět: |
Folklore
Multimedia Computer science Instructional design Massive open online course E-learning (theory) 05 social sciences Distance education General Engineering 050301 education 02 engineering and technology Virtual reality computer.software_genre Computer Science Applications Education Information and Communications Technology 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0503 education computer Folk culture |
| Zdroj: | IEEE Transactions on Learning Technologies. 12:503-515 |
| ISSN: | 2372-0050 |
| DOI: | 10.1109/tlt.2018.2878700 |
| Popis: | Massive open online courses (MOOCs), a unique form of online education enabled by web-based learning technologies, allow learners from anywhere in the world with any level of educational background to enjoy online education experience provided by many top universities all around the world. Traditionally, MOOC learning contents are always delivered as text-based or video-based materials. Although introducing immersive learning experience for MOOCs may sound exciting and potentially significative, there are a number of challenges given this unique setting. In this paper, we present the design and evaluation methodologies for delivering immersive learning experience to MOOC learners via multiple media. Specifically, we have applied the techniques in the production of a MOOC entitled Virtual Hong Kong: New World, Old Traditions , led by AIM tech Centre, City University of Hong Kong, which is the first MOOC (as our knowledge) that delivers immersive learning content for distant learners to appreciate and experience how the traditional culture and folklore of Hong Kong impact upon the lives of its inhabitants in the 21st Century. The methodologies applied here can be further generalized as the fundamental framework of delivering immersive learning for future MOOCs. |
| Databáze: | OpenAIRE |
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