Intro
Preface
Organization
International Artificial Intelligence in Education Society
Contents
Full Papers
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives
1 Introduction
2 Related Work
3 Overview of Quadl
4 Evaluation Study
4.1 Model Implementation
4.2 Survey Study
5 Results
5.1 Instructor Survey
5.2 Accuracy of the Answer Prediction Model
5.3 Qualitative Analysis of Questions Generated by Quadl
6 Discussion
7 Conclusion
References

SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues
1 Introduction
2 Methodology
2.1 Pipeline for Auto-generating Verbal and Visual Cues
3 Experimental Evaluation
3.1 Experimental Design
3.2 Experimental Conditions
3.3 Evaluation Metrics
3.4 Results and Discussion
4 Conclusions and Future Work
References
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned
1 Introduction
2 Background
2.1 The ASSISTments Program
2.2 Theoretical Framework

2.3 Research Design
3 Implementation of ASSISTments at Scale
3.1 Recruitment
3.2 Understanding School Context
3.3 Training and Continuous Support
3.4 Specifying a Use Model and Expectation
3.5 Monitoring Dosage and Evaluating Quality of Implementation
4 Data Collection
5 Analysis and Results
6 Conclusion
References
The Development of Multivariable Causality Strategy: Instruction or Simulation First?
1 Introduction
2 Literature Review
2.1 Learning Multivariable Causality Strategy with Interactive Simulation

2.2 Problem Solving Prior to Instruction Approach to Learning
3 Method
3.1 Participants
3.2 Design and Procedure
3.3 Materials
3.4 Data Sources and Analysis
4 Results
5 Discussion
6 Conclusions, Limitations, and Future Work
References
Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples
1 Introduction
2 A Computational Model of Human Learning
3 Simulation Studies
3.1 Data
3.2 Method
4 Results
4.1 Pretest
4.2 Learning Gain
4.3 Error Type
5 General Discussion
6 Future Work

7 Conclusions
References
Investigating the Utility of Self-explanation Through Translation Activities with a Code-Tracing Tutor
1 Introduction
1.1 Code Tracing: Related Work
2 Current Study
2.1 Translation Tutor vs. Standard Tutor
2.2 Participants
2.3 Materials
2.4 Experimental Design and Procedure
3 Results
4 Discussion and Future Work
References
Reducing the Cost: Cross-Prompt Pre-finetuning for Short Answer Scoring
1 Introduction
2 Related Work
3 Preliminaries
3.1 Task Definition
3.2 Scoring Model
4 Method
5 Experiment
5.1 Dataset