NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Amine Hatun Atas; Zahide Yildirim – Educational Technology Research and Development, 2025
This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…
Descriptors: Metacognition, Instructional Design, Models, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Broadbent, Jaclyn; Panadero, Ernesto; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2020
Self-regulated learning (SRL) is associated with increased academic achievement and improved learning outcomes for students. Thus, it is import to find ways to improve SRL, such as through training. Face-to-face training, discipline-dependent training, and paper-and-pencil diaries are limited in the number of students they can reach. The current…
Descriptors: Electronic Learning, Handheld Devices, Computer Software, Diaries
Peer reviewed Peer reviewed
Direct linkDirect link
Reid, Alan J.; Morrison, Gary R.; Bol, Linda – Educational Technology Research and Development, 2017
This paper presents results from an experimental study that examined embedded strategy prompts in digital text and their effects on calibration and metacomprehension accuracies. A sample population of 80 college undergraduates read a digital expository text on the basics of photography. The most robust treatment (mixed) read the text, generated a…
Descriptors: Metacognition, Comprehension, Learning Processes, Accuracy