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Victoria L. Cross; Megan N. Imundo; Courtney M. Clark; Melissa Paquette-Smith – Psychology Learning and Teaching, 2024
Learning to interpret visual representations of data is an important step towards becoming an informed consumer of research. The current study assesses the effectiveness of two versions of a scaffolded online module in improving students' ability to identify main effects and interactions in 2 × 2 factorial designs. Across two experiments (N =…
Descriptors: Undergraduate Students, Cooperative Learning, Statistics Education, Psychology
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Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
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Dooley, Laura; Makasis, Nikolas – Education Sciences, 2020
The flipped classroom has been increasingly employed as a pedagogical strategy in the higher education classroom. This approach commonly involves pre-class learning activities that are delivered online through learning management systems that collect learning analytics data on student access patterns. This study sought to utilize learning…
Descriptors: Student Behavior, Flipped Classroom, Learning Analytics, Data Interpretation
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Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
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Vriesema, Christine Calderon; McCaslin, Mary – Frontline Learning Research, 2020
Self-report data have contributed to a rich understanding of learning and motivation; yet, self-report measures present challenges to researchers studying students' experiences in small-group contexts. Rather than using self-report data alone, we argue that fusing self-report and observational data can yield a broader understanding of students'…
Descriptors: Group Dynamics, Small Group Instruction, Measurement Techniques, Student Experience
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Zagallo, Patricia; Meddleton, Shanice; Bolger, Molly S. – CBE - Life Sciences Education, 2016
We present our design for a cell biology course to integrate content with scientific practices, specifically data interpretation and model-based reasoning. A 2-year research project within this course allowed us to understand how students interpret authentic biological data in this setting. Through analysis of written work, we measured the extent…
Descriptors: Undergraduate Students, Science Education, Cytology, Instructional Design
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Rebecca Shargel; B. P. Laster – English Journal, 2016
In this article, "havruta," the dominant strategy for textual higher learning where pairs pour over texts slowly to decipher and argue about the meaning with each other, is explored as an appropriate pedagogy. The author describes how to facilitate interpersonal and textual skills in the middle school and high school classrooms. Texts…
Descriptors: Students, Cooperative Learning, Text Structure, Dialogs (Language)
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education