Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
IEEE Transactions on Learning… | 6 |
Author
Bergram, Kristoffer | 1 |
Biswas, Gautam | 1 |
Boyer, Kristy Elizabeth | 1 |
Brawner, Keith | 1 |
Chang, Ching | 1 |
Ching Chang | 1 |
De Santo, Alessio | 1 |
Farah, Juan Carlos | 1 |
Felber, Pascal | 1 |
Frankosky, Megan H. | 1 |
Gillet, Denis | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Descriptive | 1 |
Education Level
Elementary Education | 3 |
Early Childhood Education | 2 |
Grade 3 | 2 |
Higher Education | 2 |
Postsecondary Education | 2 |
Primary Education | 2 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Tennessee (Nashville) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
De Santo, Alessio; Farah, Juan Carlos; Martinez, Marc Lafuente; Moro, Arielle; Bergram, Kristoffer; Purohit, Aditya Kumar; Felber, Pascal; Gillet, Denis; Holzer, Adrian – IEEE Transactions on Learning Technologies, 2022
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive…
Descriptors: Computation, Thinking Skills, Computer Science, Higher Education
Zapata-Caceres, Maria; Martin-Barroso, Estefania; Roman-Gonzalez, Marcos – IEEE Transactions on Learning Technologies, 2021
Computational thinking (CT) can be considered a 21st century core skill and, accordingly, it should be taught to students at an early age. Nevertheless, the implementation of CT in school curricula is still in an experimental stage, given that different performance metrics remain unclear, including the appropriate age for learning each skill, the…
Descriptors: Thinking Skills, Problem Solving, Computation, Elementary School Students
Hsu, Ting-Chia; Chang, Ching; Liang, Yi-Sian – IEEE Transactions on Learning Technologies, 2023
The study explores the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment is conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…
Descriptors: Elementary School Students, Grade 3, Interdisciplinary Approach, Computation
Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Ting-Chia Hsu; Ching Chang; Yi-Sian Liang – IEEE Transactions on Learning Technologies, 2024
The study explored the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment was conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…
Descriptors: Game Based Learning, Elementary School Students, Comparative Analysis, English (Second Language)
Biswas, Gautam; Rajendran, Ramkumar; Mohammed, Naveeduddin; Goldberg, Benjamin S.; Sottilare, Robert A.; Brawner, Keith; Hoffman, Michael – IEEE Transactions on Learning Technologies, 2020
Intelligent learning environments can be designed to support the development of learners' cognitive skills, strategies, and metacognitive processes as they work on complex decision-making and problem-solving tasks. However, the complexity of the tasks may impede the progress of novice learners. Providing adaptive feedback to learners who face…
Descriptors: Decision Making, Difficulty Level, Hierarchical Linear Modeling, Cognitive Processes