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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
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
Check-In/Check-Out (CICO) in High School: Results from a Small Randomized Controlled Trial
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K. Brigid Flannery; Mimi McGrath Kato; Angus Kittelman; Nadia Katul Sampson; Kent McIntosh – Behavioral Disorders, 2024
The purpose of this study was to provide initial evidence of the effectiveness of Check-In/Check-Out-High School (CICO-HS) on high school student outcomes. Check-In/Check-Out-High School is a version of CICO, an established Tier 2 intervention designed to improve student academic and social behavior, adapted to increase effectiveness and…
Descriptors: High School Students, Intervention, Positive Behavior Supports, Program Effectiveness
Implementing a Technology-Aided Check-In/Check-Out Intervention in an Online Learning Environment: A Pilot Study
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Mallory, Patrick J.; Hampshire, Patricia K. – Preventing School Failure, 2022
With a growing number of students with disabilities participating in online distance education, there is a need to explore support strategies that promote their academic success in these virtual environments. For students with autism spectrum disorders (ASDs), this type of learning environment often lacks the structure and support for them to…
Descriptors: Distance Education, Online Courses, Academic Achievement, Educational Environment
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