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Enhancing Collaborative Learning in MOOCs: Data Gathering and Analysis Strategies

This group assignment presentation explores data gathering on various levels in MOOCs, including personal data, preferences, tests, virtual meetings, A/B tests, topic selection, group planning, engagement monitoring, role analysis, peer coaching, and post-MOOC evaluations. Strategies to enhance collaborative learning and evaluate course effectiveness are discussed.

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Enhancing Collaborative Learning in MOOCs: Data Gathering and Analysis Strategies

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  1. PresentatiON GROUP ASSIGNMENT #LASI14 Group X

  2. Red line • Data gathering on different levels: individual, group, mooc

  3. Preparation MOOC • Personal data: Culture, Prof. Background, Social Media activity • Personal preferences: Role in group, Topic. • Personal test: Role in group • Virtual introductory meeting between 2 random participants • A/B tests • Let students choose a topic out of a top-20 list

  4. During MOOC • Proactive group-planning system • Activity/Engagement monitoring lectures/resources • Analyse roles • Peer coaching: participants coach and evaluate another team • A/B tests

  5. After MOOC • Participant evaluation:Quality deliverables/Collaboration teams/Individual reflection • Evaluation of course

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