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Luke K. Fryer; Alex Shum – British Educational Research Journal, 2025
How do task experiences support proximal and longer-term desires to reengage? Central to this question is the interplay between perceptions of task difficulty and the situational interest. This interplay is increasingly researched but not yet well understood. Micro-analytic, latent studies are important tools for replicating past findings and…
Descriptors: Prior Learning, Interests, Mathematics Education, Learning Readiness
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Alicia M. Chen; Andrew Palacci; Natalia Vélez; Robert D. Hawkins; Samuel J. Gershman – Cognitive Science, 2024
How do teachers learn about what learners already know? How do learners aid teachers by providing them with information about their background knowledge and what they find confusing? We formalize this collaborative reasoning process using a hierarchical Bayesian model of pedagogy. We then evaluate this model in two online behavioral experiments (N…
Descriptors: Bayesian Statistics, Models, Teaching Methods, Evaluation
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Abdulaziz Altamimi; Kathy Conklin – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
Little is known about the effect of pre-reading exposure on collocational learning. This study used eye-tracking and offline measures (form recall and recognition) to explore the effectiveness of pre-reading study and reading exposure on the processing and learning of novel collocations. Three learning conditions were evaluated: reading-only…
Descriptors: Prior Learning, Reading, Learning Processes, Study Habits
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Moore, Kara N.; Lampinen, James Michael; Adams, Eryn J.; Nesmith, Blake L.; Burch, Presley – Cognitive Research: Principles and Implications, 2022
We examined how prior experience encountering targets affected attention allocation and event-based prospective memory. Participants performed four color match task blocks with a difficult, but specified prospective memory task (Experiment 1) or an easier, but unspecified prospective memory task (Experiment 2). Participants were instructed to…
Descriptors: Attention Control, Memory, Prior Learning, Experience
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Xiao, Yiqi; Jiang, Chenhan – International Journal of Technology and Design Education, 2023
Social design produces strategic, systematic solutions or new cultures as a response to the complexity of social changes and, in consequence, designers who are used to the traditional way of ideation may not be well prepared for the requirements of social design. This paper identified the characteristics of the concept generation of industrial…
Descriptors: Industrial Arts, Design, Concept Formation, Prior Learning
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Cheng-Wen He; Logan Fiorella; Paula P. Lemons – Educational Psychology Review, 2025
This study tested competing theories about the effectiveness of different instructional sequences for learners with different levels of prior knowledge. Across two classroom experiments, undergraduates learned about noncovalent interactions in biochemistry by either receiving explicit instruction before problem-solving (I-PS group) or engaging in…
Descriptors: Instructional Effectiveness, Problem Solving, Prior Learning, Learning Processes
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Jia Yang; Fang-Fang Yan; Tingting Wang; Zile Wang; Qingshang Ma; Jinmei Xiao; Xianyuan Yang; Zhong-Lin Lu; Chang-Bing Huang – npj Science of Learning, 2025
Learning to perform multiple tasks robustly is a crucial facet of human intelligence, yet its mechanisms remain elusive. Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. Forty-nine subjects learned seven tasks sequentially, each of…
Descriptors: Sequential Learning, Interference (Learning), Prior Learning, Perceptual Motor Learning
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Tina Seufert; Verena Hamm; Andrea Vogt; Valentin Riemer – Educational Psychology Review, 2024
Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…
Descriptors: Cognitive Processes, Difficulty Level, Resources, Self Management
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Yasuhiro Yamamoto; Yasuo Miyazaki – Journal of Experimental Education, 2025
Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…
Descriptors: Sample Size, Hierarchical Linear Modeling, Bayesian Statistics, Prior Learning
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Joyce B. Main; Christina Pantoja; Susan M. Lord; Catherine Mobley; Catherine Brawner – Journal of Engineering Education, 2025
Background: In the United States, there is increased demand to expand the engineering workforce. Many military veterans have received technical training that can be leveraged in engineering. Their pursuit of engineering degrees has great potential to expand and diversify the engineering workforce. Purpose: This study examines the pathways of US…
Descriptors: Engineering Education, Veterans, Prior Learning, High School Graduates
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Federick Ngo – Education Economics, 2024
As a result of systemic barriers, undocumented immigrants are more likely to enroll in community colleges and to enter these institutions with higher prior academic achievement than their peers. I explore the potential spillover benefits of this hyperselection on other students using data from a large community college system and two…
Descriptors: Undocumented Immigrants, Community Colleges, Barriers, College Enrollment
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Johan Lind; Eva Davidsson; Mats Lundström – International Journal of Technology and Design Education, 2024
Research on students' perceptions and understanding of technology has shown that students have a narrow view of technology: for example, technology is often manifested in students' descriptions as artefacts or objects. This study investigates the ways in which students' understanding of how technology is manifested expands during a series of…
Descriptors: Elementary School Students, Knowledge Level, Technology, Photography
Daniela Kocanova; Anna Horváth – European Education and Culture Executive Agency, European Commission, 2024
This report investigates whether higher education systems across Europe recognise and validate learning outcomes from non-formal and informal learning. Specifically, the report looks at whether non-formal and informal learning can enable alternative access to higher education; the extent to which non-formal and informal learning can contribute to…
Descriptors: Foreign Countries, Higher Education, Prior Learning, Nonformal Education
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de Jong, Bastian; Jansen in de Wal, Joost; Cornelissen, Frank; van der Lans, Rikkert; Peetsma, Thea – International Journal of Training and Development, 2023
Transfer motivation is an important factor influencing transfer of training. However, earlier research often did not investigate transfer motivation as a multidimensional construct. The unified model of task-specific motivation (UMTM) takes into account that (transfer) motivation is multidimensional by including both affective and cognitive…
Descriptors: Informed Consent, Transfer of Training, Prediction, Models
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Hilal Salim Marhoon Al-Mamari; Jeya Amantha Kumar – Journal of Learning for Development, 2025
Massive open online courses (MOOCs) are online educational courses that provide learning opportunities without geographical, temporal, or enrollment limitations. However, the adoption of MOOCs in Omani higher education is still in its early stages. Therefore, this study aims to assess how attitudes, self-efficacy, experience with online teaching,…
Descriptors: MOOCs, Role, Prior Learning, Learning Processes
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