Intro
Preface
Conference Committee
Contents
Educational Data Mining and Learning Analysis
A Qualitative Evaluation of an AI-Based Study Progress Forecast
1 Introduction
2 Theoretical Background
3 Application Design and Architecture
4 Evaluation
4.1 Participants
4.2 Data Collection
4.3 Data Analysis
4.4 Results
5 Discussion
6 Conclusion
References
AI for Coding Education Meta-analyses: An Open-Science Approach that Combines Human and Machine Intelligence
1 Introduction
2 Related Work
3 Background and Goal
3.1 Meta-Analysis

3.2 Scaffolding
3.3 MACROs
4 Two Example Autocoders
4.1 Education Level Autocoder
4.2 Education Population Autocoder
4.3 Human-in-the-loop
5 Conclusion
References
Results Analysis of the Opinion Survey for Mechanical Engineering Students of a Course Taught in Face-to-Face vs. Online Format
1 Introduction
2 Methodology
2.1 Research Context and Participants
2.2 Research Purpose
2.3 Data Analysis
3 Prediction Model Using Machine Learning Tools
3.1 Correlations of Variables
3.2 Training and Testing Phase
3.3 Results Phase
4 Conclusions

5 Future Work
References
KNIGHT Learning Analytics Architecture for Betterment of Student Education
1 Introduction
2 Background
3 KNIGHT LA Architecture
3.1 Users of the System
3.2 Learning Materials and Applications
3.3 Learning Record Store
4 Use Case-Scenario
5 Conclusion and Future Work
References
An Innovative Model for Teacher Presence or Not in Video for Online Instruction Based on Neural Theory
1 Introduction
2 Review of the Literature
2.1 Online Teaching and Learning
2.2 Multimedia Learning Theory
2.3 Attention Span
2.4 Neuroscience

3 The Model for Multimedia Effect
4 Case Study
5 Surveys for Students and Teachers
6 Results and Discussion
7 Conclusion
References
Using Relational Dialectics to Better Understand the Impact of Computer-Mediated Communication from the Perspective of Online Teaching
1 Introduction
2 Literature Review
2.1 Relational Dialectics
2.2 Binary Thinking
2.3 Computer-Mediated Communication
3 Methodology
3.1 Research Design
3.2 Sample and Data Collection, Analysis
4 Findings/Results
5 Discussion
6 Conclusion
7 Future Research Directions and Limitations