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Elisabeth Bauer; Constanze Richters; Amadeus J. Pickal; Moritz Klippert; Michael Sailer; Matthias Stadler – British Journal of Educational Technology, 2025
This study explores whether AI-generated adaptive feedback or static feedback is favourable for student interest and performance outcomes in learning statistics in a digital learning environment. Previous studies have favoured adaptive feedback over static feedback for skill acquisition, however, without investigating the outcome of students'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Statistics Education
Secondary School Students' Perspectives on Incorporating Biology Olympiad Tasks into Biology Lessons
Matej Novák; Jan Petr; Tomáš Ditrich – Journal of Baltic Science Education, 2025
Tasks used in the Biology Olympiad (BiO) appear to be promising alternatives to traditional teaching tasks in biology education, as they frequently incorporate inquiry-based elements. This makes them a valuable resource for increasing students' exposure to inquiry activities during classroom instruction. However, for teachers to effectively…
Descriptors: Secondary School Students, Biology, Science Instruction, Competition
Joseph Colantonio; Ilona Bass; Yee Lee Shing; Sobanawartiny Wijeakumar; Courtney McKay; Eva Rafetseder; Allyson P. Mackey; Elizabeth Bonawitz – Developmental Science, 2025
Although exploratory play is considered a hallmark of cognitive development and learning, relatively few studies have been able to quantitatively characterize the shifts that may occur in children's approach to exploration. One reason for this gap is due to challenges coding and analyzing children's exploratory play behavior. In our paper, we…
Descriptors: Computation, Cognitive Development, Children, Discovery Learning
Daniel Márquez – TESL-EJ, 2025
This study investigates how task complexity shapes motivation and performance in second language (L2) pragmatics, a domain that remains underexplored within task-based learning research. To address this gap, 37 secondary school learners of English completed both simple and complex decision-making tasks at three intervals over an eight-week period.…
Descriptors: Difficulty Level, Task Analysis, Second Language Learning, Secondary School Students
Eyüp Yurt – European Journal of Education, 2025
This study was conducted to explore the complex relationships among task value, self-efficacy, learning style, and mathematics achievement using a moderated mediation analysis. The research group was comprised of 378 eighth-grade students from public schools, selected through a convenient sampling approach. Data were gathered using a demographic…
Descriptors: Cognitive Style, Task Analysis, Self Efficacy, Mathematics Achievement
Xie, Belinda; Hayes, Brett – Cognitive Science, 2022
According to Bayesian models of judgment, testimony from independent informants has more evidential value than dependent testimony. Three experiments investigated learners' sensitivity to this distinction. Each experiment used a social version of the balls-and-urns task, in which participants judged which of two urns was the most likely source of…
Descriptors: Evidence, Decision Making, Task Analysis, Beliefs
Ichien, Nicholas; Lu, Hongjing; Holyoak, Keith J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Although models of word meanings based on distributional semantics have proved effective in predicting human judgments of similarity among individual concepts, it is less clear whether or how such models might be extended to account for judgments of similarity among relations between concepts. Here we combine an individual-differences approach…
Descriptors: Prediction, Semantics, Definitions, Decision Making
Nagel, Megan L.; Lindsey, Beth A. – Journal of Chemical Education, 2022
The assessment of student understanding, and of student reasoning skills more broadly, hinges upon the ability to elicit and interpret student-generated explanations. In practice, however, the explanations that students provide in response to traditional prompts do not always reveal as much about student reasoning as teachers and researchers in…
Descriptors: Science Process Skills, Thinking Skills, Chemistry, College Students
Wedde, Sonja; Busse, Annette; Bosse, Dorit – International Journal of Modern Education Studies, 2022
Invention activities and worked solutions are considered to be effective learning tasks. To date, limited research has been conducted regarding these tasks in teacher education and the process of solving these tasks. This study focuses on the solution quality of student teachers' task solutions. 149 students were randomly assigned to one of two…
Descriptors: Classroom Techniques, Problem Solving, Student Teachers, Innovation
Liu, Chunyan; Zhai, Huajie; Su, Shuhua; Song, Sutao; Chen, Gongxiang; Jiang, Yi – Journal of Autism and Developmental Disorders, 2022
Previous studies have found reduced leftward bias of facial processing in individuals with Autism Spectrum Disorder (ASD). However, it is not clear whether they manifest a leftward bias in general visual processing. To shed light on this issue, the current study used the manual line bisection task to assess children 5 to 15 years of age with ASD…
Descriptors: Autism Spectrum Disorders, Children, Adolescents, Visual Perception
Craig, Michael; Knowles, Christopher; Hill, Stephanie; Dewar, Michaela – Learning & Memory, 2021
Awake quiescence immediately after encoding is conducive to episodic memory consolidation. Retrieval can render episodic memories labile again, but reconsolidation can modify and restrengthen them. It remained unknown whether awake quiescence after retrieval supports episodic memory reconsolidation. We sought to examine this question via an…
Descriptors: Memory, Cognitive Processes, Recall (Psychology), Task Analysis
Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
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
Joana Conceição; Margarida Rodrigues – Mathematics Teacher: Learning and Teaching PK-12, 2024
Can You Build It? is an engaging Improve It! task that asks children to construct 3D shapes based on 2D depictions. Students' initial 3D creations often need revision, and as they build and re-build, they develop spatial relationships. This task was implemented in a first-grade class, connected to composing 3D geometric shapes to address the…
Descriptors: Mathematics Instruction, Geometric Concepts, Task Analysis, Grade 1
Alexis Danielle Bolick; Rafael Leonardo da Silva – TechTrends: Linking Research and Practice to Improve Learning, 2024
This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation…
Descriptors: Artificial Intelligence, Instructional Design, Task Analysis, Ethics

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