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Thin-Yin Leong; Nang-Laik Ma – INFORMS Transactions on Education, 2024
This paper develops a spreadsheet simulation methodology for teaching simulation and performance analysis of priority queues with multiple servers, without resorting to macros, add-ins, or array formula. The approach is made possible by a "single overtaking" simplifying assumption under which any lower-priority customer may be passed in…
Descriptors: Spreadsheets, Simulation, Teaching Methods, Computer Science Education
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Sarah Klanderman; V. Rani Satyam – International Journal of Mathematical Education in Science and Technology, 2024
For students taking higher level mathematics courses, the transition from computational to proof-based courses such as analysis and algebra not only introduces a new format of writing and communication, but also a new level of abstraction. This study examines the affordances of one particular tool to aid students in this transition: a proof…
Descriptors: College Mathematics, Mathematics Education, Mathematics Skills, Undergraduate Students
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Wang, Chung-Jen – Asia-Pacific Education Researcher, 2023
This study aims to explore college students' learning and academic self-efficacy in self-regulated learning and the effectiveness of learner-centered education by integrating the bridge-in, objective, pre-assessment, participatory learning, post-assessment, and summary (BOPPPS) model and interactive response system (IRS) tool. Accordingly,…
Descriptors: Self Efficacy, Learning Strategies, College Students, Student Centered Learning
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Crippen, Kent J.; Imperial, Lorelie; Bolch, Charlotte A.; Payne, Corey A. – International Journal of Science and Mathematics Education, 2023
Use of modeling as a learning strategy in introductory science courses could serve to support the persistence of all students, including those who identify with a traditionally underrepresented ethnic minority (URM). If students find inherent value in working on modeling-type problems then this authentic practice would aid in transforming personal…
Descriptors: Undergraduate Students, Engineering Education, Learning Strategies, Learning Motivation
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Ernesto Panadero; Javier Fernández; Leire Pinedo; Iván Sánchez; Daniel García-Pérez – Assessment in Education: Principles, Policy & Practice, 2024
While self-assessment is a widely explored area in educational research, our understanding of how students assess themselves, or in other words, generate self-feedback, is quite limited. Self-assessment process has been a black box that recent research is trying to open. This study explored and integrated two data collections (secondary and higher…
Descriptors: Feedback (Response), Secondary School Students, College Students, Self Evaluation (Individuals)
Wilson, Wesley K. – ProQuest LLC, 2022
Statement of Purpose and Method of Study: Conley's college readiness model includes four key indicators: cognitive skills, content knowledge, academic behaviors, and transition knowledge and skills. The study determined how State Educational Agencies (SEAs) outside Mississippi with an average or above-average post-secondary retention rate measure…
Descriptors: State Standards, Accountability, Models, College Readiness
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Victoria Akin; Emily Braley; Jack Bookman – Journal of Faculty Development, 2023
This article describes a one semester Professional Development for Teaching (PDT) seminar designed for mathematics Graduate Teaching Assistants (GTAs) that focuses on the implementation of active-learning techniques. The PDT seminar models active-learning strategies so GTAs have experiences to draw on when teaching undergraduate classes. A…
Descriptors: Models, Active Learning, Faculty Development, Seminars
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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
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Sahin, Seyma; Ökmen, Burcu; Kiliç, Abdurrahman – Excellence in Education Journal, 2023
The purpose of this research was to evaluate the effectiveness of the brain-based learning style cycle. In the research, a pre-test and post-test quasi-experimental design without a control group was used. The research study group consisted of sophomore (2nd year) students studying at Duzce University Faculty of Education, Psychological Counseling…
Descriptors: Brain, Cognitive Style, Metacognition, Attitude Measures
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Estrada, Francisco J. Pozuelos; García-Prieto, Francisco Javier; Conde-Vélez, Sara – European Journal of Contemporary Education, 2020
The aim of this study is to identify different learning styles in university students in the frame of university teaching carried out through innovative proposals for work and research projects, with inverted classroom dynamics (active and cooperative) and adopting a formative assessment that focuses on both the process and the students' outcomes.…
Descriptors: Cognitive Style, College Students, Learning Strategies, Active Learning
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Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
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Kember, David; Webster, Beverley J.; Chan, Wincy S. C. – Educational Psychology, 2020
The 3P (presage, process, product) model was introduced as a conceptualisation to underpin research into students' approaches to learning (SAL). This paper proposes the refocusing of the 3P model by formulating the initial presage phase as a teaching and learning environment, thus making the 3P model more consistent with SAL research which…
Descriptors: Models, Educational Environment, College Students, Foreign Countries
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Ho, Chun-Heng; Zhang, Hang-qin; Li, Juan; Zhang, Min-quan – International Journal of Distance Education Technologies, 2023
Digital education has recently become a mainstream education model. Despite digital education's increasing popularity, there remain issues when it comes to teacher-student interactions in digital space, which have made it impossible for this model to achieve the same teaching quality as traditional in-person education. Compared with other academic…
Descriptors: Technology Uses in Education, Electronic Learning, Teacher Student Relationship, Interaction
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Sverdlik, Anna; Rahimi, Sonia; Vallerand, Robert J. – Journal of Adult and Continuing Education, 2022
University students' passion for their studies has been previously demonstrated to be important for both their academic performance and their personal well-being. However, no studies to date have explored the role of passion for one's studies on both academic and personal outcomes in a single model. The present research sought to determine the…
Descriptors: Metacognition, Emotional Response, Learning Motivation, Academic Achievement
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