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James Davis – Journal of Teaching and Learning with Technology, 2024
This article explores an inventive approach to teaching physiology that blends the use of the Notability app on the iPad with video-based learning to visually explain intricate physiological concepts in real time. The core idea is to offer students a more dynamic and interactive way to comprehend complex physiological concepts during review…
Descriptors: Physiology, Teaching Methods, Video Technology, Computer Software
Graetz, Erika; Hughes, Angus; Pole, Daniel – National Centre for Vocational Education Research (NCVER), 2023
This report summarises the results of a discrete choice experiment (DCE) investigating how preferences for vocational education and training (VET) courses are influenced by various forms of student support offerings. Three forms of support were included in the DCE: (1) health and welfare support; (2) career counselling and job search support; and…
Descriptors: Foreign Countries, Vocational Education, Training, Academic Support Services
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Isik, Burcu; Atasoy, Basri – Shanlax International Journal of Education, 2023
This study tackles self-regulated learning from the motivation component, considering that not only the 'skills' but also the 'will' dimensions are essential for the development of self-regulated learning. The aim of the study is to promote pre-service chemistry teachers' motivation and to enhance their knowledge of motivational regulation…
Descriptors: Independent Study, Preservice Teachers, Science Teachers, Student Motivation
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Fong, Carlton J.; Lee, Jihyun; Krou, Megan R.; Hoff, Meagan A.; Johnston-Ashton, Karen; Gonzales, Cassandra; Beretvas, S. Natasha – Journal of Experimental Education, 2023
The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…
Descriptors: Meta Analysis, Factor Structure, Learning Strategies, Measures (Individuals)
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Renes, E.; Prieto, B.; López, M.; Fresno, J. M.; González-Raurich, M.; Tornadijo, M. E.; Prieto, M.; Álvarez-Ordóñez, A. – Journal of Food Science Education, 2020
The aim of this study was to identify factors that influence the academic success or failure of Food Science and Technology students at the University of León (Spain). A questionnaire of 68 questions was distributed among 185 students during the 2017 to 2018 academic year. Those students who were satisfied with passing exams, studied in the…
Descriptors: Foreign Countries, Undergraduate Students, Study Habits, Study Skills
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Lawson, Christie A.; McGuire, Stephanie; Hodges, Russ; Gray, Rosianna; McGuire, Saundra Y.; Killingbeck, Mark; Segovia, Jawn – Learning Assistance Review, 2021
The decision to explicitly teach students learning strategies and skills and how to think reflectively about their learning process is framed theoretically by the literature on self-regulation, metacognition, and social-cognitive theory. Interventions for self-regulation and metacognitive strategies can optimize the student learning process and…
Descriptors: Metacognition, Reflection, Learning Strategies, Study Skills
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Khadom, Anees A. – Journal of Education and Learning (EduLearn), 2021
The present short paper is an attempt in the direction of understanding the learning problems of undergraduate students. Sample of chemical engineering students was selected to perform a simple exam test. The test was divided into four steps. Closed book - individual student, Closed book - cooperative students, Open book - cooperative students,…
Descriptors: Problem Solving, Undergraduate Students, Chemical Engineering, Engineering Education
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Utkarsh Upadhyay; Graham Lancashire; Christoph Moser; Manuel Gomez-Rodriguez – npj Science of Learning, 2021
We perform a large-scale randomized controlled trial to evaluate the potential of machine learning-based instruction sequencing to improve memorization while allowing the learners the freedom to choose their review times. After controlling for the length and frequency of study, we find that learners for whom a machine learning algorithm determines…
Descriptors: Randomized Controlled Trials, Teaching Methods, Memorization, Algorithms
Tara Canfield – ProQuest LLC, 2021
Higher education administrators are responsible for assisting suspended students with reentry into an institution if a student's suspension appeal is granted. Interventions and retention efforts vary, but one effective method may be faculty/student mentoring. The purpose of this mixed methods study was to assess the effects of structured mentoring…
Descriptors: College Students, Mentors, Suspension, Grade Point Average
Jennifer Eilts – ProQuest LLC, 2024
Despite evidence that self-regulated learning ability is a strong predictor of academic achievement, effective learning and study strategies remain largely underutilized by students in higher education. In a time of extreme nursing shortage when prelicensure programs are operating at capacity, implications for course failure reach far beyond the…
Descriptors: Metacognition, Learning Strategies, Undergraduate Students, Student Attitudes
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Holly J. Swanson; Adelola Ojutiku; Bryan Dewsbury – Teaching & Learning Inquiry, 2024
Providing reflective opportunities for students to independently develop their metacognition and expand their abilities to make judgments about themselves as learners, including which learning strategies are personally most effective for any given task, have been shown to improve academic performance. We designed a metacognition-based intervention…
Descriptors: Intervention, Academic Achievement, Metacognition, Public Colleges
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Terence G. Favero – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI)-powered language models presents new opportunities and challenges in education. By teaching students how to craft prompts that elicit insightful responses, faculty can scaffold activities where AI acts as a supplemental resource to amplify critical thinking and support student learning. Ongoing dialogue…
Descriptors: Artificial Intelligence, Teaching Methods, Physiology, Technology Uses in Education
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Cox, William; Alexander, Anoushka; West, Harry; Abzhaparova, Aida; Hill, Jennifer – Journal of Geography in Higher Education, 2023
The COVID-19 pandemic led to significant changes in higher education institutions, with a rapid pivot from on-campus to online teaching and learning. The move to predominantly online teaching resulted in a very different learning experience for many campus-based students, offering new opportunities and challenges. This Directions article is…
Descriptors: Electronic Learning, Blended Learning, Higher Education, Success
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Alibraheim, Essa A.; Taifour, Enas A. – Pegem Journal of Education and Instruction, 2023
Children spend a large period of their lives close to their mothers gaining knowledge, learning many skills, and emulating them. Therefore, the objective of this research is to identify the relationship between mothers' educational levels and their children's academic performance. To achieve this objective, a quantitative research method…
Descriptors: Correlation, Academic Achievement, Mothers, Educational Background
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Google, Angela N.; Gardner, Grant; Grinath, Anna S. – Studies in Science Education, 2023
For decades, biology education researchers have made efforts towards engaging undergraduate students in the process of science and assisting students in their development of deep approaches to learning in the field. Research indicates that students who adopt deep approaches or study strategies make meaningful connections with course material and…
Descriptors: Undergraduate Students, Biology, Science Instruction, Learning Processes
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