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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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Witherby, Amber E.; Carpenter, Shana K.; Smith, Andrew M. – Metacognition and Learning, 2023
Prior knowledge is often strongly related to students' learning. In the present research, we explored the relationship between prior knowledge and the accuracy of students' predictive monitoring judgments (judgments of learning; JOLs) and postdictive monitoring judgments (confidence judgments). In four experiments, students completed prior…
Descriptors: Metacognition, Prior Learning, Accuracy, Prediction
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Sharleen Flowers; Kal H. Holder; Gabrielle K. Rump; Stephanie M. Gardner – CBE - Life Sciences Education, 2023
Explaining biological phenomena requires understanding how different processes function and describing interactions between components at various levels of organization over time and space in biological systems. This is a desired competency yet is a complicated and often challenging task for undergraduate biology students. Therefore, we need a…
Descriptors: Undergraduate Students, Cytology, Biology, Scientific Concepts
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Sjors Verstege; Yingbin Zhang; Peter Wierenga; Luc Paquette; Julia Diederen – Technology, Knowledge and Learning, 2024
In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of…
Descriptors: Sequential Approach, Student Behavior, Guidance, Computation
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Nana Kwon – English Teaching, 2024
This study investigates how working memory (WM) capacity and L2 linguistic knowledge affect L2 literal and inferential reading comprehension, considering the presence or absence of background knowledge. Eighty upper-intermediate to advanced adult English learners participated, completing tasks to assess WM capacity, background knowledge, L2…
Descriptors: Short Term Memory, Prior Learning, Second Language Learning, Knowledge Level
Micah Watanabe; Danielle S. McNamara – Grantee Submission, 2023
Past research on knowledge has differentiated between dimensions (e.g., amount, accuracy, specificity, coherence) of knowledge. This paper introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on fundamental human needs (e.g., physical safety, affiliation, actualization, reproduction). Adults in the…
Descriptors: Homeless People, Individual Needs, Knowledge Level, Prior Learning
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Jane Spiteri – Environmental Education Research, 2024
Despite the growing awareness of the environmental crisis, few studies have examined how early childhood educators conceptualise the environment and the funds of knowledge they draw upon to describe these. Using 'funds of knowledge' as a theoretical lens, this study explores how early childhood educators in Malta describe the environment. Guided…
Descriptors: Early Childhood Education, Early Childhood Teachers, Teacher Attitudes, Knowledge Level
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Jayantika Chakraborty; Alena G. Esposito – Mind, Brain, and Education, 2024
Self-derivation through integration is the process of integrating novel facts and producing new knowledge never directly taught. Knowledge integration has been studied with the presentation of two novel facts. However, in educational settings, individuals are required to integrate new information with prior knowledge learned days, months, or years…
Descriptors: Adult Learning, Knowledge Level, Prior Learning, Novelty (Stimulus Dimension)
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Brand, Charleen; Hartmann, Christian; Loibl, Katharina; Rummel, Nikol – Instructional Science: An International Journal of the Learning Sciences, 2023
Productive Failure (PF) is an instructional design that implements a problem-solving phase which aims at preparing students for learning from a subsequent instruction. PF has been shown to facilitate students' conceptual knowledge acquisition in the mathematical domain. Collaboration has been described as a vital design component of PF, but…
Descriptors: Failure, Cooperative Learning, Independent Study, Problem Solving
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Claire Wladis; Benjamin Sencindiver; Kathleen Offenholley – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Here we investigate how college students may conceptualize symbolic algebraic properties. This work uses the theory of Grundvorstellungen (GVs) to analyze how learners' conceptions may or may not align with some desired goals of instruction. Through the analysis of interviews with students across a variety of courses, we describe several…
Descriptors: College Students, Algebra, Mathematics Instruction, Symbols (Mathematics)
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Clara L. Meaders; Lilyan Mendez; Alfonso Godínez Aguilar; Angelita T. Rivera; Izabella Vasquez; Liam O. Mueller; Melinda T. Owens – CBE - Life Sciences Education, 2025
Introductory biology is a gateway course for majors and other science, technology, engineering, and mathematics (STEM) disciplines. Despite the importance of chemistry content knowledge for understanding biology, the relationship between chemistry knowledge and prior coursework and biology course performance is understudied. We used an opportunity…
Descriptors: Introductory Courses, Biology, Chemistry, Intervention
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Pan, Yiqin; Wollack, James A. – Educational Measurement: Issues and Practice, 2023
Pan and Wollack (PW) proposed a machine learning method to detect compromised items. We extend the work of PW to an approach detecting compromised items and examinees with item preknowledge simultaneously and draw on ideas in ensemble learning to relax several limitations in the work of PW. The suggested approach also provides a confidence score,…
Descriptors: Artificial Intelligence, Prior Learning, Item Analysis, Test Content
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Morane Stevens; Jan Elen – Studies in Higher Education, 2024
Especially in higher education -- but true for any setting -- what students do within a learning environment determines their learning outcomes. Given that they regulate their own learning, students do not always act in accordance with the instructions and intentions of the designed learning environment, which in turn has implications for their…
Descriptors: College Students, Student Attitudes, Knowledge Level, College Instruction
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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
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Christiansen, Audrey; Minich, Nori M.; Clark, Marie – Journal of Autism and Developmental Disorders, 2023
This piliot study assessed the experiences of police officers related to persons with Autism Spectrum Disorder (ASD) via a survey assessing prior experience, comfort, knowledge, and ability to identify autistic persons. Fifty-one officers completed the survey: 52.9% reported previous ASD training, 34.8% reported personal experience with ASD, and…
Descriptors: Police, Attitudes toward Disabilities, Autism Spectrum Disorders, Prior Learning
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