ERIC Number: ED637571
Record Type: Non-Journal
Publication Date: 2015-Jun
Pages: 3
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Achievement versus Experience: Predicting Students' Choices during Gameplay
Erica L. Snow; Maria Ofelia Z. San Pedro; Matthew Jacovina; Danielle S. McNamara; Ryan S. Baker
Grantee Submission, Paper presented at the International Conference on Educational Data Mining (EDM 2015) (8th, Madrid, Spain, Jun 26-29, 2015)
This study investigates how we can effectively predict what type of game a user will choose within the game-based environment iSTART-2. Seventy-seven college students interacted freely with the system for approximately 2 hours. Two models (a baseline and a full model) are compared that include as features the type of games played, previous game achievements (i.e., trophies won, points earned), and actions (i.e., iBucks/points spent, time spent on games, total games played). Using decision tree analyses, the resulting best-performing model indicates that students' choices within game-based environments are not solely driven by their recent achievement. Instead a more holistic view is needed to predict students' choices in complex systems.
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Center for Education Research (NCER) (ED/IES); National Science Foundation (NSF); National Science Foundation (NSF), Division of Information and Intelligent Systems (IIS)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A130124; REC0241144; 0735682