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Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Yonk, Ryan M.; Simmons, Randy T. – Higher Education Studies, 2023
In this Report on Practice, we explore both the process and an approach of engaging Undergraduate Students in research using a Research Institute setting. Drawing from our experience we conceive of the learning process as a series of interactions and transactions that face the same impediments as any transaction or interaction The approach, we…
Descriptors: Undergraduate Students, Learning Processes, Experiential Learning, Public Policy
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
Stephanie Mahal – ProQuest LLC, 2024
The purpose of this study was to replicate Reeve et al., (2023) by applying the newly proposed tripartite model of self-determination theory (SDT to the context of higher education. The study also investigated the validity of the "Three State Questionnaire" (TSQ) as a measurement tool in higher education. The study consisted of 521 first…
Descriptors: Self Determination, Undergraduate Students, Validity, Teaching Styles
Hu, Mingjia; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…
Descriptors: Classification, Recognition (Psychology), Computation, Models
Sintje Liline; Anensiana Tomhisa; Dominggus Rumahlatu; Kristin Sangur – Journal of Turkish Science Education, 2024
In this industrial revolution era, university-level education emphasises higher-order thinking skills. This research aims to analyse the effect of implementing the PjB-HOTS learning model on cognitive learning, creative thinking skills, analytical thinking skills, and metacognitive skills of the students studying osmoregulation concepts in Animal…
Descriptors: Thinking Skills, Biology, Metacognition, Science Instruction
Sriram, K. V.; Singh, Prateek; Kamath, Giridhar B.; Mathew, Asish Oommen – International Journal of Learning and Change, 2023
The purpose of this paper is to identify the critical factors of e-learning and examine the influence of these factors on learning success among undergraduate engineering students in India. Exploratory research is carried out to determine the critical success factors of e-learning. The data from 307 respondents was collected using an online survey…
Descriptors: Electronic Learning, Learning Processes, Higher Education, Undergraduate Students
Milner, Marleen; Wolfer, Terry A. – Journal of Social Work Education, 2023
Research suggests that most college and beginning graduate students lack the cognitive complexity required to engage in effective practical and ethical reasoning. Studies on cognitive development support the view that how people approach complex problems varies significantly depending on the underlying epistemic assumptions they use to guide their…
Descriptors: Decision Making, Social Work, Counselor Training, Ethics
Tang, Yuk Ming; Lau, Yui-yip; Chau, Ka Yin – Education and Information Technologies, 2022
The outbreak of the COVID-19 pandemic has fundamentally shifted learning from the traditional classroom approach to online learning. As such, this study used a revision centre as a case study to develop the factors that contribute to the theoretical framework of online peer learning in the higher education sector due to COVID-19. This study also…
Descriptors: Foreign Countries, Undergraduate Students, Peer Teaching, Electronic Learning
Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
Silas Goulart da Cunha; Diego de Vargas Dias; Li´via Streit – Journal of Chemical Education, 2023
Students' understanding of the electronic structure of the atom has been investigated by many authors. This study outlines students' conceptual and representational understanding of quantum concepts explored in lower and upper level chemistry courses, in three different chemistry majors, identifying learning obstacles and monitoring student…
Descriptors: Quantum Mechanics, Chemistry, Science Instruction, Scientific Concepts
Broley, Laura; Hardy, Nadia – International Journal of Research in Undergraduate Mathematics Education, 2022
Research using the Anthropological Theory of the Didactic suggests different models of how student learning may evolve in the progression of undergraduate mathematics coursework: from elementary courses in Calculus to more advanced courses in Analysis. An ideal model suggests that the theory-driven learning in the latter serves as a natural…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Task Analysis
Wahyuddin; Ernawati; Satriani, Sri; Nursakiah – Anatolian Journal of Education, 2022
The industrial revolution 4.0 make change in the educational paradigm that focuses on knowledge production and innovation applications of knowledge. One of the important elements that must be of concern to encourage economic growth and the nation's competitiveness in the era of the 4.0 industrial revolution is to prepare a more innovative learning…
Descriptors: Cooperative Learning, 21st Century Skills, Skill Development, Critical Thinking
Cara E. Schwarz – ProQuest LLC, 2024
My thesis work is focused on conceptual and epistemic learning and characterizing the environments in which this learning takes place. Earlier studies conducted by the Stowe group explored how instructional practices, instructional emphasis, and assessment emphasis relate to student outcomes in general and organic chemistry courses. Student…
Descriptors: Chemistry, Science Instruction, Organic Chemistry, Epistemology
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation