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Lu, Yu; Wang, Deliang; Chen, Penghe; Meng, Qinggang; Yu, Shengquan – International Journal of Artificial Intelligence in Education, 2023
As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Data Analysis
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Delianidi, Marina; Diamantaras, Konstantinos – Journal of Educational Data Mining, 2023
Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…
Descriptors: Academic Achievement, Prediction, Cognitive Measurement, Bayesian Statistics
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Zhan, Peida; Liu, Yaohui; Yu, Zhaohui; Pan, Yanfang – Applied Measurement in Education, 2023
Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…
Descriptors: Skill Development, Cognitive Measurement, Models, Educational Diagnosis
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Xu, Tianshu; Wu, Xiaopeng; Sun, Siyu; Kong, Qiping – Psychology in the Schools, 2023
Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…
Descriptors: Cognitive Processes, Mathematics Skills, Competence, Grade 4
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Anselmi, Pasquale; Robusto, Egidio; Stefanutti, Luca – Psychometrika, 2012
The Gain-Loss model is a probabilistic skill multimap model for assessing learning processes. In practical applications, more than one skill multimap could be plausible, while none corresponds to the true one. The article investigates whether constraining the error probabilities is a way of uncovering the best skill assignment among a number of…
Descriptors: Item Response Theory, Learning Processes, Simulation, Probability
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Perleth, Christoph; Heller, Kurt A. – Educational Research and Evaluation, 2007
It is of major importance to use psychological tests and questionnaires that are carefully constructed so that their reliability and validity can be determined in different (sub)cultures (Campbell & Tirri, 2004). However, a necessary prerequisite for this is the development of solid conceptual constructs. Otherwise, the researcher runs into the…
Descriptors: Psychological Studies, Research Methodology, Psychometrics, Models
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Cunningham, Michael A.; Gary, Harry J. – International Journal Of Man-Machine Studies, 1974
A presentation of arguments demonstrating piaget's sensorimotor stages in Hebb's terms, and the suggestion for performing a computer test. This paper is an early progress report of an attempt to translate some plausible arguments into a rigorous demonstration. (Author)
Descriptors: Cognitive Development, Cognitive Measurement, Cognitive Processes, Learning Processes
Graf, Sabine; Viola, Silvia Rita; Leo, Tommaso; Kinshuk – Journal of Research on Technology in Education, 2007
Learning styles are increasingly being incorporated into technology-enhanced learning. Appropriately, a great deal of recent research work is occurring in this area. As more information and details about learning styles becomes available, learning styles can be better accommodated and integrated into all aspects of educational technology. The aim…
Descriptors: Cognitive Style, Legislators, Educational Technology, Learning Processes
FOSTER, HARRIET – 1966
CERTAIN SYSTEMS FOR CLASSIFYING COGNITIVE FUNCTIONS ARE REVIEWED AND COMPARED IN A DISCUSSION OF GENERALIZING PROCESSES USED FOR EVALUATING INSTRUCTIONAL OUTCOMES. THE AUTHOR STATES THAT THERE ARE TWO IMPORTANT GENERALIZATIONS TO BE MADE IN THE EVALUATION OF INSTRUCTIONAL PROGRAMS--GENERALIZING THE PROGRAM RESULTS AND THE SKILLS OF THE…
Descriptors: Classification, Cognitive Measurement, Cognitive Processes, Comparative Analysis
Cunniff, Peter C. – 1999
This qualitative research studied patterns of student self-talk (thought) in a sixth-grade mathematics classroom. The research sought greater understanding of the mental labels and operative cognitive structures upon which students rely in order to participate in schoolwork. Twenty-four students were given "math journals" and asked to…
Descriptors: Cognitive Measurement, Cognitive Processes, Group Dynamics, Heuristics
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Perkins, Kyle; And Others – Language Testing, 1996
Tests the hypothesis that there is no monotonic relationship between increasing competence in different linguistic domains and growth in second-language proficiency. The article concludes with an introduction to some assessment models that can accommodate discontinuous growth patterns. These models can describe and model a student's qualitative…
Descriptors: Cognitive Measurement, English (Second Language), Hypothesis Testing, Language Proficiency
Bierschenk, Bernard – 1984
The foundations of knowledge by tradition have been treated analytically, and knowledge has been characterized as a theoretical subject. This article introduces a steering mechanism as the prerequisite for a study of knowledge work and maintenance on empirical grounds. Knowledge is treated synthetically, that is, as something that exists only…
Descriptors: Abstract Reasoning, Cognitive Measurement, Cognitive Processes, Educational Research
Karrer, Urs – 1988
This paper examines and critiques several learning style inventories (LSI) in an effort to find the optimal research instrument for a proposed empirical study of both the quality of courseware and the impact of courseware characteristics on variations of learning effectiveness due to learner characteristics. Five LSIs are examined: (1) Dunn LSI;…
Descriptors: Aptitude Treatment Interaction, Cognitive Measurement, Cognitive Style, Comparative Analysis
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Lindberg, Marc A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 1982
The retention of the conditioned response was tested in a retroactive interference paradigm. Results suggested that what is learned by children in simple conditioning paradigms is different than what is learned by adults in the same paradigms. (Author/PN)
Descriptors: Age Differences, Auditory Stimuli, Cognitive Measurement, Conditioning
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Eckstein, 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
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