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Predicting Programming Performance by Using Process Behavior in a Block-Based Programming Environment
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Examining the Effect of a Mobile-Assisted Self-Regulation Scheme on Primary Students' Self-Regulated Vocabulary Learning via Latent Growth Modelling
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Yin Yang; Yuyang Cai; Yanjie Song – Educational Technology & Society, 2024
The effect of technology on primary students' self-regulated vocabulary learning (SRVL) over time and its dynamic relationship with vocabulary outcomes have been scarcely studied. This quasi-experimental study reports a longitudinal inquiry into the effect of a mobile-assisted self-regulation scheme on primary students' SRVL and the relationship…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Educational Technology
Technology Based Self-Monitoring for a Student with EBD to Improve Academic Engagement
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Lane Maxcy; Denise A. Soares; Judith Harrison – Contemporary Educational Technology, 2025
The current study evaluated the effect of technology-based self-management on disruptive behavior and academic engagement (AE) with a student with an emotional and behavioral disorder. A multiple baseline design across three general education settings was used to assess the effectiveness of the intervention, self-management using the…
Descriptors: Technology Uses in Education, Self Management, Emotional Disturbances, Behavior Disorders
A Randomized Control Trial on the Effects of MoBeGo, a Self-Monitoring App for Challenging Behavior
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Bruhn, Allison; Wehby, Joseph; Hoffman, Lesa; Estrapala, Sara; Rila, Ashley; Hancock, Eleanor; Van Camp, Alyssa; Sheaffer, Amanda; Copeland, Bailey – Behavioral Disorders, 2022
The purpose of this study was to examine the effects of MoBeGo, a mobile self-monitoring app, on the initial and sustained academic engagement and disruptive behavior of third- to eighth-grade students with challenging behavior. Student-teacher pairs (N = 57) were randomly assigned to the treatment (MoBeGo) or control (business-as-usual)…
Descriptors: Randomized Controlled Trials, Outcomes of Treatment, Self Management, Computer Oriented Programs
Improving Behavioral and Academic Outcomes for Students with Autism Spectrum Disorder: Testing an App-Based Self-Monitoring Intervention
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Beckman, Alexandra; Mason, Benjamin A.; Wills, Howard P.; Garrison-Kane, Linda; Huffman, Jonathan – Education and Treatment of Children, 2019
Self-monitoring (SM) is a behavioral intervention with a long history of successful implementation for students with autism spectrum disorder. Despite the development of sophisticated software applications, they are rarely incorporated into data collection procedures for SM interventions. The current study evaluated an SM application, goal…
Descriptors: Autism, Pervasive Developmental Disorders, Behavior Modification, Academic Achievement
A Single-Subject Study of a Technology-Based Self-Monitoring Intervention
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Vogelgesang, Kari L.; Bruhn, Allison L.; Coghill-Behrends, William L.; Kern, Amanda M.; Troughton, Leonard C. W. – Journal of Behavioral Education, 2016
Students with ADHD often struggle with self-regulation skills. One strategy demonstrating considerable success in helping these students regulate their behavior is self-monitoring. Although there is an abundance of research on self-monitoring, research on the use of technology for self-monitoring is only beginning to emerge. The primary goal of…
Descriptors: Attention Deficit Hyperactivity Disorder, Self Management, Self Evaluation (Individuals), Technology Uses in Education