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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
Dounas-Frazer, Dimitri R.; Lewandowski, H. J. – Physical Review Physics Education Research, 2017
In this exploratory qualitative study, we describe instructors' self-reported practices for teaching and assessing students' ability to troubleshoot in electronics lab courses. We collected audio data from interviews with 20 electronics instructors from 18 institutions that varied by size, selectivity, and other factors. In addition to describing…
Descriptors: Electronics, Science Laboratories, Laboratory Training, Science Instruction
Foulger, Teresa S.; Graziano, Kevin J.; Schmidt-Crawford, Denise A.; Slykhuis, David A. – Journal of Technology and Teacher Education, 2017
The U.S. National Educational Technology Plan recommends the need to have a common set of technology competencies specifically for teacher educators who prepare teacher candidates to teach with technology (U.S. Department of Education, Office of Educational Technology, 2017). This study facilitated the co-creation of the Teacher Educator…
Descriptors: Teacher Competencies, Technological Literacy, Teacher Educators, Preservice Teacher Education
Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
Tucker, James D. – 1989
This training module on the troubleshooting of an electromechanical system, The Westinghouse Programmable Logic Controller (PLC) controlling a pneumatic robot, is used for a troubleshooting unit in an electromechanical systems/robotics and automation systems course. In this unit, students locate and repair a defect in a PLC-operated machine. The…
Descriptors: Automation, Data Analysis, Electromechanical Technology, Laboratory Safety
Jane, Beverley – Asia-Pacific Forum on Science Learning and Teaching, 2006
Science education research predominantly shows that students improve their scientific understandings when they tinker (or pull apart) tools and simple household machines. In this study, the qualitative data collected took the form of online journal entries by final year, female, primary teacher trainees, who reflected upon their early childhood…
Descriptors: Science Education, Educational Research, Scientific Concepts, Student Attitudes