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Making MOOC Slides Semantically Accessible: A Semantic Content Generation Tool for PowerPoint Slides
Imran Ihsan
Abstract:
The concept of personalized web based e-learning is getting popular with the passage of time. MOOCs (Massive Open Online Courses) are a trending nowadays offered by platforms like Coursera & Udacity. Currently, Microsoft PowerPoint® is the biggest contributor of personalized web based e-learning. Search engines use natural language processing algorithms on text data for the search and retrieval of learning content. For universities which are now looking forward to providing web based e-learning facilities, such natural language processing algorithms can be difficult to use for such a massive production of PowerPoint based lectures by faculty members. There is an alternate approach which includes semantic based e-learning content publishing tools that can be used instead of PowerPoint for the development of lectures. However, the huge legacy data available has to be converted into a format on which semantic search and retrieval is possible. Conversion or development of e-learning lectures with semantic layer on top can help learners and educators to find the required lecture or even a slide within a lecture with high precision. This study has proposed a tool that can take PowerPoint lecture slides and convert them into a semantically accessible format where search on a slide level within the PowerPoint file is possible. It can also help in developing new courses where lectures of multiple courses can be accessed and integrated to form adaptive courseware. Using the proposed technique, the lecture slides can thus become more interoperable, open and reusable, making MOOC based e-learning more semantically accessible.
Keywords:
E-learning, Openness, Interoperability, MOOC (Massive Open Online Course), Semantics, Semantically Meaning Unit (SMU)
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