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Hyeon-Ah Kang; Adam Sales; Tiffany A. Whittaker – Grantee Submission, 2023
Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students' learning behaviors. In this study, we explore a latent variable modeling approach for tracking learning flow during computer-interactive artificial tutoring. The study considers three models that give discrete profiles of a latent…
Descriptors: Intelligent Tutoring Systems, Algebra, Educational Technology, Learning Processes
Kirk Vanacore; Adam Sales; Allison Liu; Erin Ottmar – Grantee Submission, 2023
Computer-assisted learning platforms (CALPS) increasingly include gamified elements to improve student outcomes by enhancing their engagement with content. Although evidence exists that gamified programs increase engagement and learning outcomes, there is little causal research on what programmatic mechanisms drive the effect between engagement…
Descriptors: Educational Games, Gamification, Algebra, Mathematics Instruction
Kirk Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Gaming the system, characterized by attempting to progress through a learning activity without engaging in essential learning behaviors, remains a persistent problem in computer-based learning platforms. This paper examines a simple intervention to mitigate the harmful effects of gaming the system by evaluating the impact of immediate feedback on…
Descriptors: Outcomes of Education, Ethics, Student Behavior, Electronic Learning
Kirk P. Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Gaming the system is a persistent problem in Computer-Based Learning Platforms. While substantial progress has been made in identifying and understanding such behaviors, effective interventions scarce. This study uses a method of causal moderation known as Fully Latent Principal Stratification to explore the impact of two types of interventions --…
Descriptors: Gamification, Student Behavior, Computer Uses in Education, Intervention
Kirk P. Vanacore; Ashish Gurung; Adam C. Sales; Neil T. Heffernan – Journal of Educational Data Mining, 2024
Gaming the system is a persistent problem in Computer-Based Learning Platforms. While substantial progress has been made in identifying and understanding such behaviors, effective interventions remain scarce. This study uses a method of causal moderation known as Fully Latent Principal Stratification to explore the impact of two types of…
Descriptors: Gamification, Student Behavior, Computer Uses in Education, Intervention
Gagnon-Bartsch, J. A.; Sales, A. C.; Wu, E.; Botelho, A. F.; Erickson, J. A.; Miratrix, L. W.; Heffernan, N. T. – Grantee Submission, 2019
Randomized controlled trials (RCTs) admit unconfounded design-based inference--randomization largely justifies the assumptions underlying statistical effect estimates--but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT non-participants. For example, data from A/B…
Descriptors: Randomized Controlled Trials, Educational Research, Prediction, Algorithms