Publication Date
| In 2026 | 0 |
| Since 2025 | 6 |
Descriptor
Source
| Journal of Computer Assisted… | 2 |
| British Journal of… | 1 |
| Educational Psychology Review | 1 |
| International Association for… | 1 |
| Journal of Speech, Language,… | 1 |
Author
| Amit Paikrao | 1 |
| Dong Yang | 1 |
| Hélène Delage | 1 |
| Jari Lavonen | 1 |
| Jia Zhao | 1 |
| Jyoti Shaha | 1 |
| Marc Rodemer | 1 |
| Margaret Kehoe | 1 |
| Maria Tulis | 1 |
| Markus Dresel | 1 |
| Ning Jia | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 5 |
| Information Analyses | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Elementary Education | 1 |
| Grade 7 | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| France | 1 |
| Switzerland (Geneva) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPeng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Maria Tulis; Markus Dresel – British Journal of Educational Psychology, 2025
Background: Interest in the potential of learning from errors to benefit innovation and organizational and personal growth is currently increasing. In practice, individuals frequently do not appear to learn spontaneously from errors and setbacks without support. Based on prior work, this paper considers antecedents and consequences of adaptive…
Descriptors: Undergraduate Students, Student Attitudes, Beliefs, Student Motivation
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
Download full textJyoti Shaha; Amit Paikrao; Ramkumar Rajendran – International Association for Development of the Information Society, 2025
This study examines the impact of metacognitive prompts on electrical engineering students' learning behavior during problem-solving in a computer-based learning environment. This research study uses Epistemic Network Analysis (ENA) to investigate behavioral differences between students who received metacognitive prompts and those who solved…
Descriptors: Metacognition, Prompting, Learning Processes, Electronic Equipment
Olivia Hadjadj; Margaret Kehoe; Samuel Maistre; Hélène Delage – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study aims to investigate the learning potential of French-speaking children, either with typical development (TD) or with developmental language disorder (DLD), when learning an invented inflectional morphological rule. We tested the children's performance in learning pseudomorphemes of gender and number with dynamic assessment…
Descriptors: Morphology (Languages), Developmental Disabilities, Language Impairments, Morphemes
