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Plan 1 - Coggle Diagram
Plan 1
Chapter 1: Introduction
1.1 Background
1.2 Research Objectives
1.3 Problem Statement
1.4 Research Questions
1.5 Hypotheses
1.6 Thesis Structure
Chapter 2: Literature Review
2.1 MOOCs and Distance Learning
2.1.1 History and Evolution of MOOCs
2.1.2 MOOC Platforms
2.2 AI and Machine Learning in Education
2.2.1 Overview of AI and Machine Learning
2.2.2 Application of AI and Machine Learning in Education
2.3 Assessment Techniques in MOOCs
2.3.1 Traditional Assessment Techniques
2.3.2 Limitations of Current Techniques
2.4 Gamification in Online Learning
2.4.1 Role of Gamification
2.4.2 Impact of Gamification on Learning
Chapter 3: AI Role in MOOCs: Case Study of the Sultan Moulay Slimane University
3.1 Case Study Overview and Context
3.1.1 Background Information about the University
3.1.2 Role of MOOCs at the University
3.2 Development and Implementation of MOOCs
3.2.1 Steps for Developing and Implementing MOOCs
3.2.2 Challenges Encountered
3.3 Analysis of Demographics, Personal Characteristics, and Results
3.3.1 Data Collection and Analysis
3.3.2 Key Findings
3.4 Results Discussion
3.4.1 Results Interpretation
3.4.2 Implications for MOOC Development
Chapter 4: AI in MOOCs: Strategies and Implementations
4.1 Choosing and Deploying a MOOC Platform with Multilingual AQG Functionality
4.1.1 Criteria for Choosing a Suitable MOOC Platform
4.1.2 Multilingual AQG Plugin Development
4.1.3 Implementation and Results
4.2 Increasing Student Engagement and Assessment of MOOC Participants by Artificial Intelligence
4.2.1 Method Development
4.2.2 Implementation and Results
4.3 Artificial Intelligence System to Support Pedagogical Engineering for Knowledge Assessment on MOOC Platforms
4.3.1 System Development
4.3.2 Implementation and Results
4.4 Efficiency of Automated Essay Scoring in MOOCs
4.4.1 Technique Development
4.4.2 Implementation and Results
Chapter 7: Conclusion
7.1 Summary of Findings
7.2 Research Contributions
7.3 Study Limitations
7.4 Suggestions for Future Research
Chapter 6: Evaluation of AI-Driven Approaches
6.1 Evaluation Methodology
6.1.1 Description of Evaluation Methods
6.1.2 Application in AI-Driven Approaches
6.2 Analysis and Results
6.2.1 Data Analysis Techniques
6.2.2 Summary of Findings
6.3 Findings Discussion
6.3.1 Interpretation of Results
6.3.2 Study Limitations
Chapter 5: Innovative Assessment Approaches by AI in MOOCs
5.1 Improving Assessment Efficiency with an AI-Driven Gamification Approach
5.1.1 Gamification Strategy Development
5.1.2 Impact on Assessment Efficiency and Learning Outcomes
5.1.3 Evaluation and Results
5.2 AI-Generated Flashcards to Improve Learning Outcomes and Retention
5.2.1 Flashcard Bot Development
5.2.2 Implementation in MOOCs
5.2.3 Evaluation and Results
5.3 AI-Driven Teach at the Right Level Approach in Moroccan Education
5.3.1 Teach at the Right Level: Overview
5.3.2 Integration of AI Tools in Teach at the Right Level
5.3.3 Impact and Results