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Showing 1 to 15 of 21 results Save | Export
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Gretchen Scheibel; Tyler A. Hicks; Kathleen N. Zimmerman; Jesse R. Pace – Remedial and Special Education, 2024
Intensive interventions are time- and resource-demanding interventions designed to be implemented with a single student with unique learning needs. Economic evaluation provides a methodology for evaluating the time and material resource costs of implementing these interventions to provide detailed feasibility information for educators considering…
Descriptors: Intervention, Cost Effectiveness, Teacher Attitudes, Time on Task
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Xu, Xin; Sears, Sandra; Simonsen, Brandi – Beyond Behavior, 2023
Paying attention during academic instruction plays a significant role in learning. Students with off-task behaviors are less likely to obtain desired learning outcomes. Technology-based self-monitoring is one of the strategies designed to address this issue. This article introduces technology-based self-monitoring (TBSM) for elementary educators…
Descriptors: Attention, Time on Task, Student Behavior, Educational Technology
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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
Montorya Lavonne Boswell – ProQuest LLC, 2024
The problem addressed in this study was that teachers underestimate the benefits of technology usage in grade nine Algebra mathematics classrooms. The purpose of this quantitative quasi-experimental study was to examine how the use of a supplemental digital mathematics tool affected achievement scores among grade nine Algebra mathematics students…
Descriptors: Supplementary Education, Secondary School Mathematics, Grade 9, Instructional Effectiveness
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MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
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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
Antaya, Adrien – ProQuest LLC, 2018
According to Every Student Succeeds Act of 2015 (ESSA), schools must adopt an academic and behavior intervention program in order to meet the different academic and behavioral needs of K-12 students. Educational leaders may choose to integrate Computer Based Decision Support Systems (CDSSs) into the intervention program to assist with progress…
Descriptors: Intervention, Progress Monitoring, Educational Technology, Attitudes
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Rosero-Zambrano, Carlos Andrés; Avila, Alba; Osorio, Luz Adriana; Aguirre, Sandra – Journal of Science Education and Technology, 2018
The coupling of the traditional classroom instruction and a virtual learning environment (VLE) in an engineering course is critical to stimulating the learning process and to encouraging students to develop competencies outside of the classroom. This can be achieved through planned activities and the use of information and communication…
Descriptors: Educational Technology, Technology Uses in Education, Simulated Environment, Computer Simulation
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers
Randel, Bruce – Online Submission, 2018
Century Analytics, Inc. conducted a rigorous evaluation of Edmentum's Exact Path to estimate the impact of Exact Path use on student achievement in reading in kindergarten through Grade 3. Exact Path is an online educational tool designed to support individualized student instruction. This study's quasi-experimental design (QED), analyses, and…
Descriptors: Reading Achievement, Kindergarten, Grade 1, Grade 2
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Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
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de Bruin, Anique B. H.; Kok, Ellen M.; Lobbestael, Jill; de Grip, Andries – Metacognition and Learning, 2017
Being overconfident when estimating scores for an upcoming exam is a widespread phenomenon in higher education and presents threats to self-regulated learning and academic performance. The present study sought to investigate how overconfidence and poor monitoring accuracy vary over the length of a college course, and how an intervention consisting…
Descriptors: Self Esteem, College Students, Progress Monitoring, Intervention
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Journal of Early Intervention, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Grantee Submission, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
Randel, Bruce – Online Submission, 2018
Century Analytics, Inc. conducted a rigorous evaluation of Edmentum's Exact Path to estimate the impact of Exact Path use on student achievement in mathematics in kindergarten through Grade 8. Exact Path is an online educational tool designed to support individualized student instruction. This study's quasi-experimental design (QED), analyses, and…
Descriptors: Kindergarten, Grade 1, Grade 2, Grade 3
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