Personalized Online Learning: Context Driven Massive Open Online Courses
The success of MOOC (massive open online courses) is rapidly increasing. Most educational institutions are highly interested in these online platforms, which embrace intellectual and educational objectives and provide various opportunities for lifelong learning. However, many limitations, such as le...
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| Veröffentlicht in: | International journal of web-based learning and teaching technologies 2021, Vol.16 (6), p.1-15 |
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| container_title | International journal of web-based learning and teaching technologies |
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| creator | Nadira, Benmedakhene Makhlouf, Derdour Amroune, Mohamed |
| description | The success of MOOC (massive open online courses) is rapidly increasing. Most educational institutions are highly interested in these online platforms, which embrace intellectual and educational objectives and provide various opportunities for lifelong learning. However, many limitations, such as learners' diversity, lack of motivation, affected learners' outcomes, which unfortunately raised the dropout rate. Thus, multiple solutions were afforded on MOOC platforms to tackle these common problems. This paper suggests a model outline of a customizable system Context-Driven Massive Open Online Courses that could be implemented in any learning environment, and that goes hand in hand with learners' context to boost their motivation towards learning, and to help identify their learning needs. The paper introduces CD-MOOC following a learner-based approach by employing two types of users' data; long-term and short-term data assembled form learners' online traces when interacting on the platform. The data help users design their own learning path based on their context and preferences. |
| doi_str_mv | 10.4018/IJWLTT.20211101.oa8 |
| format | Article |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
| subjects | Analysis Computer Assisted Instruction Context Context Effect Data Collection Distance learning Dropout Prevention Dropping out Education Individualized Instruction Learning Analytics Learning environment Learning Motivation Lifelong learning Massive open online courses Methods Motivation Online Courses Online instruction Open Education |
| title | Personalized Online Learning: Context Driven Massive Open Online Courses |
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