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Yafit Gabay; Lana Jacob; Atil Mansour; Uri Hertz – npj Science of Learning, 2025
The current study examined how individuals with neurodevelopmental disorders navigate the complexities of learning within multidimensional environments marked by uncertain dimension values and without explicit guidance. Participants engaged in a game-like complex reinforcement learning task in which the stimuli dimension determining reward…
Descriptors: Dyslexia, Attention Deficit Hyperactivity Disorder, Difficulty Level, Reinforcement
Tanya Mitropoulos; Diana Bairaktarova; Scott Huxtable – Journal of Engineering Education, 2024
Background: Undergraduate students consistently struggle with mastering concepts related to thermodynamics. Prior work has shown that haptic technology and intensive hands-on workshops help improve learning outcomes relative to traditional lecture-based thermodynamics instruction. The current study takes a more feasible approach to improving…
Descriptors: Engineering, Engineering Education, Difficulty Level, Learning
Eleanor M. Taylor; Claire J. Cadwallader; Dylan Curtin; Trevor T.-J. Chong; Joshua J. Hendrikse; James P. Coxon – npj Science of Learning, 2024
Healthy aging is associated with changes in motor sequence learning, with some studies indicating decline in motor skill learning in older age. Acute cardiorespiratory exercise has emerged as a potential intervention to improve motor learning, however research in healthy older adults is limited. The current study investigated the impact of…
Descriptors: Older Adults, Exercise, Difficulty Level, Psychomotor Skills
Pavlov, Alexis; Duhon, Gary; Dawes, Jillian – Journal of Behavioral Education, 2023
Interventions that match demands to ability can enhance both academic performance and behavioral performance. However, it is unknown whether the instructional match or subsequent increases in engagement with the instructional material differentially impacts learning. The current study evaluated the effect of task difficulty on on-task behavior and…
Descriptors: Students, Learner Engagement, Difficulty Level, Learning
Bae, Jinhee; Hong, Seok-sung; Son, Lisa K. – Metacognition and Learning, 2021
Against intuition, a set of "desirable difficulties" has been touted as a way in which to improve learning and lengthen retention. This includes, for instance, varying the conditions of learning to allow for more active, effortful, or challenging, contexts. In the current paper, we introduce data that show that, on the contrary, learning…
Descriptors: Failure, Difficulty Level, Learning, Selection
Rosedahl, Luke A.; Ashby, F. Gregory – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…
Descriptors: Classification, Learning, College Students, Difficulty Level
Chang, Minyu; Brainerd, C. J. – Metacognition and Learning, 2023
Making judgments of learning (JOLs) can sometimes modify subsequent memory performance, which is referred to as JOL reactivity. We evaluated two major theoretical explanations of JOL reactivity and used the dual-retrieval model to pinpoint the retrieval processes that are modified by JOLs. The changed-goal hypothesis assumes that JOLs highlight…
Descriptors: Cues, Evaluative Thinking, Models, Recall (Psychology)
Yael Sidi; Rakefet Ackerman – Educational Psychology Review, 2024
When faced with challenging thinking tasks accompanied by a feeling of uncertainty, people often prefer to opt out (e.g., replying "I don't know", seeking advice) over giving low-confidence responses. In professions with high-stakes decisions (e.g., judges, medical practitioners), opting out is generally seen as preferable to making…
Descriptors: Instructional Design, Decision Making, Metacognition, Knowledge Management
Qin, Yao; Liu, Shun Jia; Xu, Xin Long – Social Psychology of Education: An International Journal, 2023
This study explored how self-control and eudaimonic orientation are associated with learning burnout and internet addiction risk (IAR). Our results demonstrate that learning burnout has a significant and positive impact on IAR. The impulse system and control system play parallel mediating roles in the relationship between learning burnout and IAR.…
Descriptors: Middle School Students, Learning, Burnout, Internet
Yu, Albert; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2023
We propose a new item response theory growth model with item-specific learning parameters, or ISLP, and two variations of this model. In the ISLP model, either items or blocks of items have their own learning parameters. This model may be used to improve the efficiency of learning in a formative assessment. We show ways that the ISLP model's…
Descriptors: Item Response Theory, Learning, Markov Processes, Monte Carlo Methods
Lozano, José H.; Revuelta, Javier – Applied Measurement in Education, 2021
The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework…
Descriptors: Bayesian Statistics, Computation, Learning, Testing
Tingting Li; Yu Ji; Zehui Zhan – Asia Pacific Journal of Education, 2024
For student teachers' professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate the effects of "Human-Human" and "Human-Machine" collaborative learning approaches on the STEM teaching training…
Descriptors: Student Teachers, Teachers, Artificial Intelligence, Critical Thinking
Chen-Chen Liu; Dan Wang; Gwo-Jen Hwang; Yun-Fang Tu; Ning-Yu Li; Youmei Wang – Interactive Learning Environments, 2024
Information literacy is an essential twenty-first-century skill for students. Most students face difficulty in discerning online information while searching, evaluating, and utilizing it effectively. Appropriate information evaluating framework, such as RADAR (relevance, authority, date, appearance, and reason for writing), has been recommended to…
Descriptors: Gamification, Educational Environment, Skill Development, Information Literacy
Wang, Zhe; Ardasheva, Yuliya; Carbonneau, Kira; Liu, Qinglong – Applied Cognitive Psychology, 2021
A body of research indicates that the inclusion of seductive details in instructional materials negatively impacts learning. However, there is scant research that examines the format and the amount of seductive details as potential moderating factors across multiple learning outcomes. In two studies, one focused on seductive pictures and one on…
Descriptors: Instructional Materials, Visual Aids, Middle School Students, Reading Materials
Stephenie Wright – ProQuest LLC, 2021
Active learning is critical to the development of lifelong learners. This study employed a mixed-methods approach to determine the extent to which teachers incorporate rigor and engagement in their classrooms. Both of these elements are required to create active learning environments for students. This evaluation study investigated the knowledge,…
Descriptors: Learner Engagement, Educational Quality, Difficulty Level, Academic Standards
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