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Bruhn, Allison L.; Estrapala, Sara; Mahatmya, Duhita; Rila, Ashley; Vogelgesang, Kari – Behavioral Disorders, 2023
Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…
Descriptors: Faculty Development, Teacher Attitudes, Data Collection, Data Analysis
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Svinicki, Marilla D.; Williams, Kyle; Rackley, Kadie; Sanders, Anke J. Z.; Pine, Lisa; Stewart, Julie – International Journal for the Scholarship of Teaching and Learning, 2016
Much is being said in education about the value of adopting data-based or analytics approaches to instructional improvement. One important group of stakeholders in this effort is the faculty. "In many cases, the key constituency group is faculty, whose powerful voice and genuine participation often determine the success or failure of…
Descriptors: Instructional Improvement, Performance Factors, Student Records, Information Utilization
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Tuncer, Murat – Journal of Education and Training Studies, 2017
The main aim of this study is to determine whether a significant difference exits among data collection with printed materials and with smart phones. The research was conducted with 282 teacher candidates who take pedagogical formation training. Three data collection tools were used throughout the study. As the results of the current research, no…
Descriptors: Test Reliability, Test Validity, Research Methodology, Handheld Devices