Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 5 |
Descriptor
Source
| Computer Science Education | 1 |
| IEEE Transactions on Learning… | 1 |
| Journal of Computing in… | 1 |
| Journal of Learning and… | 1 |
| Teacher Education Advancement… | 1 |
Author
| Boyer, Kristy Elizabeth | 1 |
| Celepkolu, Mehmet | 1 |
| Galdo, Aisha Chung | 1 |
| Garry Falloon | 1 |
| Juan Zheng | 1 |
| Karen Woo | 1 |
| Pauline Megan Fox | 1 |
| Shan Li | 1 |
| Susanne P. Lajoie | 1 |
| Tingting Wang | 1 |
| Türel, Vehbi | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 4 |
| Information Analyses | 1 |
Education Level
| Higher Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Pauline Megan Fox – Teacher Education Advancement Network Journal, 2024
Despite growing interest in spaced retrieval methods, a research gap has been discovered, with insufficient data to support best practises in year-one science. After analysing five systematic action cycles, four interrelated themes emerged: dual coding, cognitive load, peer communication, and feedback-driven metacognition. While literature…
Descriptors: Cognitive Science, Information Retrieval, Learning Processes, Short Term Memory
Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
Türel, Vehbi – Journal of Learning and Teaching in Digital Age, 2023
In this study, 56 participants' (N=56) perceptions towards dual coding in design of audio-only listening texts (i.e. re-provision of the same audio-only listening texts in the form of audio-only listening texts + keywords or supplementary contextual visuals + keywords at non-initial phases of the while listening stage) in a hypermedia listening…
Descriptors: Hypermedia, Coding, Listening, Listening Comprehension
Karen Woo; Garry Falloon – Computer Science Education, 2025
Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…
Descriptors: Coding, Computer Science Education, Curriculum Development, Thinking Skills
Celepkolu, Mehmet; Galdo, Aisha Chung; Boyer, Kristy Elizabeth – IEEE Transactions on Learning Technologies, 2022
As children develop conversational skills such as taking turns and openly listening to ideas, they often experience conflicts and inequity within collaborative dialogue for learning. Previous research suggests that increasing children's awareness about their own behaviors during collaboration may help them adjust their behaviors and become better…
Descriptors: Teaching Methods, Classroom Communication, Cooperative Learning, Child Behavior

Peer reviewed
Direct link
