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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
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
Ziyi Kuang; Xiaxia Jiang; Keith T. Shubeck; Xiaoxue Leng; Yahong Li; Rui Zhang; Zhen Wang; Shun Peng; Xiangen Hu – Educational Psychology, 2024
This study explored the role of question types and prior knowledge in vicarious learning with an intelligent tutoring system. In experiment 1, the participants were assigned to three conditions (deep questions, shallow questions, control), the results showed that participants in the deep questions condition had higher retention test scores than…
Descriptors: Questioning Techniques, Intelligent Tutoring Systems, Cognitive Processes, College Students
Katrin Schuessler; Vanessa Fischer; Maik Walpuski – Instructional Science: An International Journal of the Learning Sciences, 2025
Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…
Descriptors: Cognitive Processes, Difficulty Level, Rating Scales, Construct Validity
Iryna Schommartz; Angela M. Kaindl; Claudia Buss; Yee Lee Shing – Developmental Psychology, 2024
Childhood is a period when memory consolidation and knowledge base undergo rapid changes. The present study examined short-delay (overnight) and long-delay (after a 2-week period) consolidation of new information either congruent or incongruent with prior knowledge in typically developing 6- to 8-year-old children (n = 32), 9- to 11-year-old…
Descriptors: Access to Information, Children, Memory, Prior Learning
Lea Nemeth; Frank Lipowsky – European Journal of Psychology of Education, 2024
Interleaved practice combined with comparison prompts can better foster students' adaptive use of subtraction strategies compared to blocked practice. It has not been previously investigated whether all students benefit equally from these teaching approaches. While interleaving subtraction tasks prompts students' attention to the different task…
Descriptors: Prior Learning, Subtraction, Cognitive Processes, Difficulty Level
Kate M. Xu; Sarah Coertjens; Florence Lespiau; Kim Ouwehand; Hanke Korpershoek; Fred Paas; David C. Geary – Educational Psychology Review, 2024
The ubiquity of formal education in modern nations is often accompanied by an assumption that students' motivation for learning is innate and self-sustaining. The latter is true for most children in domains (e.g., language) that are universal and have a deep evolutionary history, but this does not extend to learning in evolutionarily novel domains…
Descriptors: Vocabulary, Motivation, Learning Strategies, Knowledge Level
Michella Basas – Journal of Deaf Studies and Deaf Education, 2024
This Family and Practitioner Brief discusses how deaf children who have not had access to a complete language from birth often encounter unique challenges in developing academic language skills, particularly in the realm of inference-making.
Descriptors: Deafness, Hearing Impairments, Inferences, Children
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Catherine Maria Pulupa – ProQuest LLC, 2024
The United States government is perennially in need of employees with proficiency in critical foreign languages to communicate with foreign counterparts and maintain relationships worldwide. In order to fulfill this need, the government devotes significant resources training federal employees to advanced levels of language proficiency through…
Descriptors: Second Language Learning, Language Proficiency, Adult Learning, Measurement Techniques
Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
Jeffrey A. Greene; Christina Hollander-Blackmon; Eric A. Kirk; Victor M. Deekens – Journal of Educational Psychology, 2024
More and more, people are abandoning the active pursuit of news, assuming instead that important information will be pushed to them via their social media networks. This approach to news makes people susceptible to the vast amounts of misinformation online, yet research on the effects of this kind of engagement is mixed. More research is needed on…
Descriptors: Cognitive Processes, COVID-19, Pandemics, Decision Making
Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Quan-Thanh Huynh; Yu-Chuan Yang – Chemistry Education Research and Practice, 2024
Numerous studies have proven the learning benefits of concept maps in science subjects, particularly for students with low prior knowledge. There is a scarcity of research dedicated to the examination of chemistry courses at the university level, and the findings pertaining to academic performance in that subject exhibit a lack of consistency.…
Descriptors: Prior Learning, Concept Mapping, Chemistry, Science Instruction
Xiao-Ming Wang; Wen-Qing Zhou; Gwo-Jen Hwang; Shi-Man Wang; Tong Huang – Educational Technology & Society, 2024
Knowing the factors affecting students' learning achievement in digital learning is a crucial educational issue nowadays. However, recent research has paid less attention to how an individual's internal factors (prior knowledge) influence their learning achievement through cognitive engagement, and previous studies generally employed students'…
Descriptors: Electronic Learning, Prior Learning, Cognitive Processes, Learner Engagement
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