Intro
Preface
Organization of MIS4TEL 2023
Contents
Statistical Analysis of the Influence of Teaching Experience on the Perception of Virtual Reality
1 Introduction
2 Materials and Methods
2.1 Participants
2.2 Variables
3 Methodological Approach
3.1 Instrument
3.2 Methodology
4 Results
5 Discussion
6 Conclusions
References
Multiple-Choice Questions Difficulty Prediction with Neural Networks
1 Introduction
2 Related Work
3 Methodology
3.1 Data
3.2 Features
3.3 Models
4 Results
4.1 Baseline

4.2 Results and Analysis of the Proposed Models
4.3 Discussion and Future Work
5 Conclusion
References
Mixed Study on the use of Flipped Classroom Methodology in the Subject of Community Mental Health Care
1 Introduction
2 Methodology
2.1 Participant and Settings
2.2 Research Design
2.3 Data Collection
2.4 Data Analysis
3 Results
4 Discussion
5 Conclusions
References
Assessing the Impact of Computer Simulations on Physics and Chemistry Learning
1 Introduction
2 Related Work
3 Methods
3.1 Participants
3.2 Lesson Plans

3.3 Support Materials
3.4 Students' Learning Evaluation
4 Results and Discussion
5 Conclusions and Future Work
References
Analysis of the Digital Competence of the Students of Mathematics Sciences of the Francisco de Morazán National Pedagogical University
1 Introduction
2 Methodology
2.1 Participant and Settings
2.2 Research Design
2.3 Data Collection
3 Results
4 Discussion
5 Conclusions
References
Leveraging Topic Modeling to Investigate Learning Experience and Engagement of MOOC Completers
1 Introduction
2 Research Method

3 Results and Discussion
4 Conclusion and Future Work
References
AI4Architect: An Intelligent Help System to Support Students in the Design Domain
1 Introduction
2 Related Work
3 The AI4Architect System
3.1 The Fine-Tuning Pre-processing Step
3.2 The System
4 Methods
5 Conclusions and Future Work
References
DeeJay in Action: Evaluating it by its Application in Technology-Enhanced Learning
1 Introduction
2 Background
2.1 Evaluating a Methodological Framework: State-of-the-Art
2.2 The DeeJay Methodological Framework: The Foundations

3 Applying DeeJay in Two TEL Projects Across Different Application Domains
3.1 The CrazySquare Project
3.2 The MONICA Project
4 A Preliminary Evaluation of DeeJay
5 Conclusion and Future Works
References
Prediction of Students' Grades Based on Non-academic Data
1 Introduction
2 Literature Review
3 Data Mining
3.1 Data Preparation
3.2 Discussion
4 Conclusion
References
Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System*-5pt
1 Introduction
2 Textual Similarity Technology and Model Selection
3 Data
4 Method