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Download full textTsutsumi, Emiko; Kinoshita, Ryo; Ueno, Maomi – International Educational Data Mining Society, 2021
Knowledge tracing (KT), the task of tracking the knowledge state of each student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines Item Response Theory (IRT) with a deep learning model, provides superior performance. It can express the abilities of each student…
Descriptors: Item Response Theory, Prediction, Accuracy, Artificial Intelligence
Direct linkBarenberg, Jonathan; Dutke, Stephan – Psychology Learning and Teaching, 2022
This study investigated the effects of retrieval practice on the cognitive and metacognitive learning outcome in a psychology lecture at university. In a within-subjects design, N = 180 students completed an intermediate knowledge test in the 9th session and a final test in the 13th session of the semester. Both tests assessed students'…
Descriptors: Psychology, Lecture Method, Research Design, Selection
Yoon, Susan A.; Goh, Sao-Ee; Yang, Zhitong – Complicity: An International Journal of Complexity and Education, 2019
Recent research on what students know about complex systems shows that they typically have challenges in understanding particular system ideas such as nonlinearity, complex causality, and decentralized control. Yet this research has yet to adopt a systematic approach to learning about complex systems in an ordered way in line with the Next…
Descriptors: Item Response Theory, Models, Middle School Students, High School Students
Duncan, Ravit Golan; Choi, Jinnie; Castro-Faix, Moraima; Cavera, Veronica L. – Science & Education, 2017
Learning progressions (LPs) are hypothetical models of how learning in a domain develops over time with appropriate instruction. In the domain of genetics, there are two independently developed alternative LPs. The main difference between the two progressions hinges on their assumptions regarding the accessibility of classical (Mendelian) versus…
Descriptors: Genetics, Learning Processes, Sequential Learning, Sequential Approach
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
Peer reviewedEckstein, Shulamith Graus – Developmental Review, 2000
Extends dynamic model of cognitive growth proposed by van Geert in three directions: (1) added a term to consider exposure to material to be learned; (2) developed method to apply model to cross-sectional studies; and (3) developed procedure to scale cognitive abilities tests with items of varying difficulty. Tests model with 2- to 15-year-olds'…
Descriptors: Adolescents, Children, Cognitive Ability, Cognitive Development
