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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Taylor, Matthew S. – Journal of Special Education, 2018
Researchers suggest students in early elementary grade levels are active learners and creators and need to be exposed to science, technology, engineering, and mathematics (STEM) curriculum. The need for student understanding in STEM curriculum is well-documented, and positive results in robotics and computer programming are leading researchers and…
Descriptors: Programming, Primary Education, Preschool Children, Elementary School Students
Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen J. H.; Hwang, Gwo-Haur – Educational Technology & Society, 2015
Computer programming is an important skill for engineering and computer science students. However, teaching and learning programming concepts and skills has been recognized as a great challenge to both teachers and students. Therefore, the development of effective learning strategies and environments for programming courses has become an important…
Descriptors: Foreign Countries, Programming, Instructional Effectiveness, College Students
Finkelman, Matthew D.; Kim, Wonsuk; Roussos, Louis; Verschoor, Angela – Applied Psychological Measurement, 2010
Automated test assembly (ATA) has been an area of prolific psychometric research. Although ATA methodology is well developed for unidimensional models, its application alongside cognitive diagnosis models (CDMs) is a burgeoning topic. Two suggested procedures for combining ATA and CDMs are to maximize the cognitive diagnostic index and to use a…
Descriptors: Automation, Test Construction, Programming, Models
Lavesson, N. – IEEE Transactions on Education, 2010
This correspondence reports on a case study conducted in the Master's-level Machine Learning (ML) course at Blekinge Institute of Technology, Sweden. The students participated in a self-assessment test and a diagnostic test of prerequisite subjects, and their results on these tests are correlated with their achievement of the course's learning…
Descriptors: Artificial Intelligence, Diagnostic Tests, Foreign Countries, Self Evaluation (Individuals)
Hsu, Pi-Shan; Chang, Te-Jeng; Wu, Ming-Hsiung – International Journal of Distance Education Technologies, 2009
The level of learners' expertise has been used as a metric and diagnostic mechanism of instruction. This metric influences mental effort directly according to the applications of cognitive load theory. Cognitive efficiency, an optimal measurement technique of expertise, was developed by Kalyuga and Sweller to replace instructional efficiency in…
Descriptors: Electronic Learning, Measurement Techniques, Expertise, Cognitive Processes
Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection