Menu
Jo Wilder Dataset
Overview
Just as there are many ways to learn there are many ways to assess learning. Game-based learning is different in that it allows students to engage with educational content in a dynamic way that traditional classroom experiences do not typically provide.
Current research indicates that game-based learning could be effective in supporting learning outcomes, however the limited amount of game-based learning datasets makes it difficult to extend this research. Developing models that make real-time predictions about student performance on game objectives will support and enable educational game developers who are working to create more effective learning experiences for students.
The Jo Wilder dataset available here via the Lab’s Learning Exchange is derived from the 2023
Jo Wilder Kaggle Competition
to predict student performance from game play. It includes assets from one of the largest open datasets of game logs
available. More than 2,050 teams participated in the competition. The Jo Wilder dataset represents a free and openly-accessible launch point for those interested in researching and/or developing new models around game-based learning and assessment.
Jo Wilder and the Capitol Case, a free online point & click game designed by Field Day Lab, aligns with newly-revised 3-5th grade Wisconsin state standards for social studies. Sections of the game assess players’ story comprehension and analysis of clues to create the competition’s performance measures.
This dataset is licensed under CC BY. This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, and only so long as attribution is given to the creator.
Potential Uses
Those who access the Exchange’s Jo Wilder dataset can conceivably:
- Train artificial intelligence (AI) models that can make predictions about student performance on a game’s objectives in real-time.
- Train AI models that create personalized learning pathways for students based on their in-game behavior.
- Conduct learning analytics to study students’ interactions with the game.
- Do research on game design features and factors that motivate students and keep them engaged in a game.