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Carrie J. Boden; Catherine A. Cherrstrom; Todd Sherron; Maria Mohamed; Lindsey Wilson; Kandi Pomeroy – Journal of Continuing Higher Education, 2024
Prior learning assessment (PLA) uses testing or competency portfolios to assess and grant credit for college-level learning, thus offering personal and professional empowerment to adult learners. The purpose of this review was to systematically examine global academic literature related to PLA over a decade. An earlier review of U.S. literature…
Descriptors: Prior Learning, Evaluation, Educational Research, Periodicals
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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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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
Alex Quigley – Routledge, Taylor & Francis Group, 2024
It is a truth universally acknowledged that pupils do not learn all that they are taught. They may learn something, they may even learn a lot, but it may not be a lot of what we think we have taught them or they may struggle to apply knowledge successfully. In this book, bestselling author Alex Quigley characterises how the long and winding road…
Descriptors: Learning, Success, Failure, Memory
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Panayiota Kendeou – Educational Psychology Review, 2024
In this paper, I discuss the inspiration, development, and further refinement of the Knowledge Revision Components framework (KReC; Kendeou & O'Brien, 2014). In KReC, we theorize about the conditions that facilitate knowledge revision during reading, and thus successful learning in the presence of prior, often incorrect knowledge. I discuss…
Descriptors: Knowledge Level, Reading, Prior Learning, Information Literacy
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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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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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Levy Cohen, Rinat; Zusho, Akane – New Directions for Teaching and Learning, 2023
Students who struggle to complete an assignment may rely on self-regulatory strategies such as rereading class notes or learning from worked-out examples from textbooks to handle tasks beyond their capability. Learners may also reach out to teachers or peers for assistance. In the past, seeking help from other individuals has been viewed as a…
Descriptors: Help Seeking, Student Behavior, Mathematics Achievement, Educational Technology
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Andrea Zanellati; Daniele Di Mitri; Maurizio Gabbrielli; Olivia Levrini – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…
Descriptors: Artificial Intelligence, Prior Learning, Knowledge Management, Models
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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
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Gorney, Kylie; Wollack, James A. – Journal of Educational Measurement, 2022
Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…
Descriptors: Prior Learning, Simulation, Models, Reaction Time
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Ming Yean Sia; Emily Mather; Matthew W. Crocker; Nivedita Mani – Developmental Science, 2024
Previous studies showed that word learning is affected by children's existing knowledge. For instance, knowledge of semantic category aids word learning, whereas a dense phonological neighbourhood impedes learning of similar-sounding words. Here, we examined to what extent children associate similar-sounding words (e.g., rat and cat) with objects…
Descriptors: Semantics, Vocabulary Development, Word Recognition, Prior Learning
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Charles Hohensee; Laura Willoughby; Sara Gartland – Mathematical Thinking and Learning: An International Journal, 2024
Backward transfer is defined as the influence that new learning has on individuals' prior ways of reasoning. In this article, we report on an exploratory study that examined the influences that quadratic functions instruction in real classrooms had on students' prior ways of reasoning about linear functions. Two algebra classes and their teachers…
Descriptors: Prior Learning, Abstract Reasoning, Mathematical Concepts, Algebra
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Courtney Hattan – Reading Teacher, 2024
Knowledge activation and knowledge building are essential for reading comprehension. Yet, how can teachers support students in accessing and applying their existing knowledge and experiences during reading? This article provides six evidence-based principles to consider during literacy instruction, which are drawn from a recent systematic…
Descriptors: Knowledge Level, Reading Comprehension, Prior Learning, Literacy Education
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