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Faster Implicit Motor Sequence Learning of New Sequences Compatible in Terms of Movement Transitions
Susanne Dyck; Christian Klaes – npj Science of Learning, 2025
New information that is compatible with pre-existing knowledge can be learned faster. Such schema memory effect has been reported in declarative memory and in explicit motor sequence learning (MSL). Here, we investigated if sequences of key presses that were compatible to previously trained ones, could be learned faster in an implicit MSL task.…
Descriptors: Learning Processes, Psychomotor Skills, Sequential Learning, Memory
Benjamin M. Rottman; Yiwen Zhang – Cognitive Research: Principles and Implications, 2025
Being able to notice that a cause-effect relation is getting stronger or weaker is important for adapting to one's environment and deciding how to use the cause in the future. We conducted an experiment in which participants learned about a cause-effect relation that either got stronger or weaker over time. The experiment was conducted with a…
Descriptors: Causal Models, Memory, Learning Processes, Time
Soonri Choi; Dongsik Kim; Jihoon Song – Educational Technology Research and Development, 2025
Despite the efforts of instructional design (ID) to solve real-life problems, it remains challenging to adapt and be flexible in such situations. In particular, problems that require simultaneous knowledge of multiple domains and contexts are more challenging to solve because real-life problems do not reconstruct the learned experience. This is…
Descriptors: Expertise, Instructional Design, Problem Solving, Cognitive Processes
Felix Krieglstein; Maik Beege; Lukas Wesenberg; Günter Daniel Rey; Sascha Schneider – Educational Psychology Review, 2025
In research practice, it is common to measure cognitive load after learning using self-report scales. This approach can be considered risky because it is unclear on what basis learners assess cognitive load, particularly when the learning material contains varying levels of complexity. This raises questions that have yet to be answered by…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Materials, Problem Solving
Gaia Olivo; Jonas Persson; Martina Hedenius – npj Science of Learning, 2024
Developmental dyslexia (DD) is defined as difficulties in learning to read even with normal intelligence and adequate educational guidance. Deficits in implicit sequence learning (ISL) abilities have been reported in children with DD. We investigated brain plasticity in a group of 17 children with DD, compared with 18 typically developing (TD)…
Descriptors: Dyslexia, Brain, Children, Training
Roman Abel; Anique de Bruin; Erdem Onan; Julian Roelle – Educational Psychology Review, 2024
Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…
Descriptors: Sequential Learning, Learning Strategies, Interference (Learning), Classification
Fabian Tomaschek; Michael Ramscar; Jessie S. Nixon – Cognitive Science, 2024
Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…
Descriptors: Sequential Learning, Learning Processes, Serial Learning, Executive Function
Gabriel J. Cler; Samantha Bartolo; Jiwon Kim; Anna Nolan; Sophia Banel – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Developmental language disorder (DLD) is a neurodevelopmental disorder that impacts approximately 7% of the population and is characterized by unexplained deficits in expressive and/or receptive components of language. A common procedural learning task, serial reaction time (SRT), has been used to develop models of the basis of DLD.…
Descriptors: Adult Learning, Language Impairments, Sequential Learning, Neurodevelopmental Disorders
Lauren C. Bauman; Trà Hu?nh; Amy D. Robertson – Physical Review Physics Education Research, 2024
Literature on student ideas about circuits largely focuses on misunderstandings and difficulties, with seminal papers framing student thinking as stable, difficult to change, and connected to incorrect ontological categorizations of current as a thing rather than a process. In this paper, we analyzed 417 student responses to a conceptual question…
Descriptors: Physics, Sequential Learning, Abstract Reasoning, Electronic Equipment
Joshua Plencner; Allison Rank – Journal of Political Science Education, 2025
Structural questions about the undergraduate political science major have spurred debates in the field for more than thirty years. Today, resurgent growth of unusually sharp threats to American democracy fuel familiar curricular questions with new urgency. However, the combined effects of inertia, bureaucratic hurdles, and resource constraints…
Descriptors: Curriculum Design, Political Science, Undergraduate Study, Majors (Students)
Trudi Lord; Paul Horwitz; Amy Pallant; Christopher Lore – Educational Technology Research and Development, 2025
This study employs the Experiential Learning Theory framework to investigate students' use of a wildfire simulation. We analyzed log files automatically generated by middle and high school students (n = 1515) as they used a wildfire simulation and answered associated prompts in three simulation-based tasks. We first analyzed students' log files to…
Descriptors: Natural Disasters, Fire Protection, Simulation, Experiential Learning
Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
Lin Zhang; John Sweller – European Journal of Psychology of Education, 2024
The use of investigations in science teaching is both common and commonly advocated for in science education literature. We suggest that the use of investigations should differ depending on the complexity of the subject matter. That complexity can vary depending on both the nature of the information and students' expertise levels. The present…
Descriptors: Middle School Students, Science Instruction, Secondary School Science, Inquiry
Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
Julius Ceasar Hortelano; Maricar Prudente – Journal of Pedagogical Research, 2024
Conceptualized in France during the sixties, the Theory of Didactical Situations [TDS] is a pivotal framework for developing mathematics teaching and learning processes. Despite the increasing qualitative studies over the last ten years, there remains a dearth of analysis of its effects on mathematics education. Through a Grounded Formal Theory…
Descriptors: Didacticism, Mathematics Instruction, Mathematics Education, Learning Processes
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