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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
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D. R. E. Cotton; S. Bloxham; S. Cooper; J. Downey; M. Fornasiero – Journal of Further and Higher Education, 2024
Knowledge exchange (KE) is increasingly important in higher education internationally, yet relatively little attention has been paid to it as a pedagogic opportunity for students. This paper draws on 26 interviews with stakeholders within and outside HE to develop a model of student-led knowledge exchange as a guide for learning through KE. The…
Descriptors: Higher Education, Stakeholders, Attitudes, Models
Pooja G. Sidney; Julie F. Shirah; Lauren Zahrn; Clarissa A. Thompson – Grantee Submission, 2022
In mathematics, learners often spontaneously draw on prior knowledge when learning new ideas. In this study, we examined whether the specific diagrams used to represent more familiar (i.e., whole number division) and less familiar ideas (i.e., fraction division) shape successful transfer. Undergraduates (N = 177) were randomly assigned to…
Descriptors: Mathematics Education, Prior Learning, Transfer of Training, Visual Aids
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Charity N. Watson; Pablo Duran; Adam Castillo; Edgar Fuller; Geoff Potvin; Laird Kramer – International Journal of Mathematical Education in Science and Technology, 2025
College calculus plays an important role in STEM students' degree and career aspirations. One of the key factors considered in assessing a student's ability to be successful in calculus is their proficiency in topics from prior mathematics courses such as algebra and precalculus. This study set out to examine the impact of students' precalculus…
Descriptors: Active Learning, Calculus, Mathematics Instruction, Teaching Methods
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Levi C. Ofoe – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: This study examined the learning experiences of speech-language pathology students after creating three-dimensional (3D) anatomical models as part of an undergraduate Anatomy and Physiology course. Method: A total of 44 undergraduate students used 3D software programs to design anatomical components (e.g., larynx, brainstem, brain cortex,…
Descriptors: Speech Language Pathology, Allied Health Occupations Education, Student Attitudes, Anatomy
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Dayal, Vikram – International Journal of Mathematical Education in Science and Technology, 2023
Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…
Descriptors: Biology, Visual Aids, Epidemiology, Science Instruction
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Ren, Zhiyun; Ning, Xia; Lan, Andrew S.; Rangwala, Huzefa – International Educational Data Mining Society, 2019
Over the past decade, low graduation and retention rates have plagued higher education institutions. To help students graduate on time and achieve optimal learning outcomes, many institutions provide advising services supported by educational technologies. Accurate grade prediction is an integral part of these services such as degree planning…
Descriptors: Grade Prediction, Undergraduate Students, Prior Learning, Courses
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Cogliano, MeganClaire; Bernacki, Matthew L.; Hilpert, Jonathan C.; Strong, Christy L. – Journal of Educational Psychology, 2022
We investigated the effects of a learning analytics-driven prediction modeling platform and a brief digital self-regulated learning skill training program targeted to support undergraduate biology students identified as likely to perform poorly in the course. A prediction model comprising prior knowledge scores and learning management system log…
Descriptors: Learning Analytics, College Science, Undergraduate Students, Biology
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Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
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D'Eon, Marcel; Yasinian, Maryam – Higher Education Research and Development, 2022
In this article, we propose a new model of student workload. We conducted an extensive literature review of student workload, its impact on students' lives, factors influencing student workload, objective and subjective measurements. The previous conceptualizations of student workload conflate student work and course workload, two related but…
Descriptors: Physics, Science Instruction, Learning Processes, Barriers
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Lee, Hye Yeon; List, Alexandra – Discourse Processes: A Multidisciplinary Journal, 2023
This study examined the role of relevance determinations within the context of undergraduates' multiple text reading and writing. In this study, undergraduate students were randomly assigned to one of two experimental conditions (i.e., to compose a research report about either the causes of or the solutions to the urban housing crisis), using a…
Descriptors: Undergraduate Students, Literacy, Comparative Analysis, Relevance (Education)
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Khalaf, Bilal Khalid; Zin, Zuhana Mohamed; Al-Abbas, Linda S. – International Journal of Instruction, 2022
Educational societies encountered rapid development in all fields of knowledge, assisted by the invention of new technologies and development of linguistic systems. Over time, researchers contribute to design well known instructional models such as traditional-based and inquiry-based models. However, the previous literature investigations showed…
Descriptors: Cognitive Development, Instructional Design, Models, Inquiry
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Singh, Ninni; Ahuja, Neelu Jyothi – International Journal of Web-Based Learning and Teaching Technologies, 2019
Face-to-face human tutoring in classroom environments amply facilitates human tutor-learner interactions wherein the tutor gets opportunity to exercise his cognitive intelligence to understand learner's pre-knowledge level, learning pattern, specific learning difficulties, and be able to offer course content well-aligned to the learner's…
Descriptors: Intelligent Tutoring Systems, Sequential Learning, Student Centered Learning, Curriculum Design
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Blotenberg, Iris; Schmidt-Atzert, Lothar – Journal of Intelligence, 2019
The present study set out to explore the locus of the poorly understood but frequently reported and comparatively large practice effect in sustained attention tests. Drawing on a recently proposed process model of sustained attention tests, several cognitive tasks were administered twice in order to examine which specific component of test…
Descriptors: Attention Control, Tests, Models, Test Items
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Delleville, Valerie – Journal of Continuing Higher Education, 2017
Some institutions' prior learning assessment (PLA) programs are far more successful than others. As with any strategic initiative, the best-intentioned policy is only as good as the implementation, operations, and people behind it. Beyond progressing through the change management process, ensuring sustainability is critical to long-term PLA…
Descriptors: Undergraduate Students, Prior Learning, Best Practices, Bachelors Degrees
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