NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ustun, Ahmet Berk; Zhang, Ke; Karaoglan-Yilmaz, Fatma Gizem; Yilmaz, Ramazan – Journal of Research on Technology in Education, 2023
This mixed-method pretest/post-test experimental study examined the effect of learning analytics (LA)-based interventions on students' academic achievement and self-regulatory skills, and explored students' perceptions of such interventions in flipped classrooms (FC). Sixty-two college students from an introductory computer course were randomly…
Descriptors: Learning Analytics, Feedback (Response), Flipped Classroom, Intervention
Peer reviewed Peer reviewed
Direct linkDirect link
Gayithri Jayathirtha; Gail Chapman; Joanna Goode – Journal of Research on Technology in Education, 2025
We report findings from qualitatively analyzing audio recordings and teacher-generated products from a two-day in-person collaborative design (co-design) workshop where nine experienced high school CS teachers revised parts of an existing introductory high school program toward justice. In response to our research question of how teachers…
Descriptors: Experienced Teachers, Team Teaching, Design, High School Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
Peer reviewed Peer reviewed
Direct linkDirect link
Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns