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Showing 1 to 15 of 19 results Save | Export
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Emerson, Samantha N.; Conway, Christopher M. – Cognitive Science, 2023
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…
Descriptors: Statistics Education, Learning Processes, Learning Theories, Pattern Recognition
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Dvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
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Sikorski, Tiffany-Rose – Science & Education, 2019
In the spirit of model revision, researchers continue to refine the notion of a learning progression. Despite many advances in learning progressions research, one key design element has eluded scholarly critique, the upper anchor. Drawing on science education research and studies of science, this essay argues for a shift from the predominant model…
Descriptors: Sequential Learning, Learning Processes, Science Education, Models
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Dayal, Priya Dharshni; Ali-Chand, Zakia – New Zealand Journal of Educational Studies, 2022
This paper discusses the significance of model-based teaching on the topic of ionic and metallic bonding in Year 12 Chemistry in a New Zealand secondary school. Based on the conceptualization of the sub-macro level understanding of the bonding structure and properties of ionic and metallic compounds, models and drawings were used as an effective…
Descriptors: Science Instruction, Teaching Methods, Chemistry, Models
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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
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
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Weiermann, Brigitte; Meier, Beat – Cognition, 2012
The purpose of the present study was to investigate incidental sequence learning across the lifespan. We tested 50 children (aged 7-16), 50 young adults (aged 20-30), and 50 older adults (aged >65) with a sequence learning paradigm that involved both a task and a response sequence. After several blocks of practice, all age groups slowed down…
Descriptors: Evidence, Older Adults, Young Adults, Learning Processes
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French, Robert M.; Addyman, Caspar; Mareschal, Denis – Psychological Review, 2011
Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…
Descriptors: Infants, Probability, Learning Processes, Pattern Recognition
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Stanley, J. C.; Kilmer, W. L. – International Journal of Man-Machine Studies, 1975
This paper presents a temporal sequence memory based on the circuit configuration of the dentate gyrus of the mammalian hippocampus. (Author)
Descriptors: Learning Processes, Memory, Models, Neurological Organization
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Major, Roy C. – Studies in Second Language Acquisition, 1996
Responds to Ellis (1996), who claims that much of first- and second-language acquisition is sequence learning and can be explained in terms of connectionist theory. This article does not disagree with the substance of Ellis's article but rather the extent to which his model can be applied to many aspects of natural languages. (six references) (CK)
Descriptors: Language Acquisition, Learning Processes, Linguistic Theory, Models
Mayer, Richard E. – 1977
This document discusses how the organization of instruction influences the encoding and structuring of new material in the memory and the subsequent transfer of such information to novel situations. A theory of instruction for problem solving that considers relevant cognitive variables and that specifies the conditions for productive learning is…
Descriptors: Cognitive Processes, Instruction, Learning Processes, Learning Theories
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Hannafin, Michael J.; Hooper, Simon – Computers in Human Behavior, 1989
Discusses the importance of screen design in computer-based instruction (CBI), and presents a framework for screen design decisions based on the ROPES (Retrieving, Orienting, Presenting, Encoding, and Sequencing) meta-model for instructional design. Psychological, instructional, and technological foundations of screen design are discussed, and…
Descriptors: Computer Assisted Instruction, Courseware, Instructional Design, Learning Processes
Jacobson, M. Jeffrey; Sisemore, David A. – Southern Journal of Educational Research, 1976
Results indicate that subjects first observing apparatus operation by electromechanical means performed task better than those who had not, and that there is no significant difference between performance of subjects who had observed demonstration by electromechanical device and those who had observed a human model. Applicability of findings…
Descriptors: Imitation, Laboratory Experiments, Learning Processes, Models
Wilson, Brent G.; Merrill, M. David – Performance and Instruction, 1980
Shows how elaboration theory (ET) sequences the concepts in a taxonomy and argues that the product of an ET analysis is usually in general agreement with sequencing based on learning prerequisite relationships, and that ET sequencing of taxonomic concepts will not violate learning prerequisite relationships. (Author/MER)
Descriptors: Classification, Cognitive Processes, Concept Formation, Concept Teaching
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Christie, Michael A.; Hersch, Steven M. – Learning & Memory, 2004
In this paper, we demonstrate nondeclarative sequence learning in mice using an animal analog of the human serial reaction time task (SRT) that uses a within-group comparison of behavior in response to a repeating sequence versus a random sequence. Ten female B6CBA mice performed eleven 96-trial sessions containing 24 repetitions of a 4-trial…
Descriptors: Animal Behavior, Behavioral Science Research, Learning Processes, Sequential Learning
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