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Showing 1 to 15 of 30 results Save | Export
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Yingbin Zhang; Yafei Ye; Luc Paquette; Yibo Wang; Xiaoyong Hu – Journal of Computer Assisted Learning, 2024
Background: Learning analytics (LA) research often aggregates learning process data to extract measurements indicating constructs of interest. However, the warranty that such aggregation will produce reliable measurements has not been explicitly examined. The reliability evidence of aggregate measurements has rarely been reported, leaving an…
Descriptors: Learning Analytics, Learning Processes, Test Reliability, Psychometrics
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Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
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Ferreras-Garcia, Raquel; Hernández-Lara, Ana Beatriz; Serradell-López, Enric – Studies in Higher Education, 2021
This paper aims to analyse whether the entrepreneurial competencies acquired by students when they work on a business plan have any kind of influence on student learning process results in terms of gender. To do so, we used data obtained from questionnaires distributed among 425 students on the Bachelor's Degree in Business Administration at the…
Descriptors: Entrepreneurship, Foreign Countries, Gender Differences, Business Administration Education
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Yan, Veronica X.; Sana, Faria – Journal of Educational Psychology, 2021
When learning new information, should students focus on studying 1 concept at a time or should they alternate studying between different concepts? Recent research shows that students should mix up or interleave the study of different concepts, particularly when the concepts are related or hard to discriminate (Carvalho & Goldstone, 2015). But…
Descriptors: Learning Processes, Beliefs, Evidence, Metacognition
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Yan Dai; Lingfei Luan; Xi Lin – Asian Journal of Distance Education, 2023
This study investigated the influence of students' different Online Learning Readiness (OLR) profiles on their Online Self-Regulated Learning (OSRL) strategies in the context of the first online learning experience (FOL) for students. The data was collected from 262 students in a four-year university in North China during the Spring of 2021.…
Descriptors: Distance Education, Learning Readiness, COVID-19, Pandemics
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Kaysi, Feyzi; Yavuz, Mehmet; Aydemir, Emrah – International Journal of Technology in Education and Science, 2021
Smartphones are among the most used devices. Considering the high rate of usage by university students, these devices' intended usage is a matter of curiosity. The purpose of this study is to determine the smartphones usage duration and purpose of using for university students. The study was carried out with a qualitative design. In the first…
Descriptors: Undergraduate Students, Telecommunications, Handheld Devices, Computer Use
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Lima Fogaca, Janaina; Lee, Saemi; Joseph, Courtney; Clifford, Dawn E.; Papini, Natalie; Lee, Jonathan S. – Health Education Journal, 2023
Introduction: Peer-led health coaching is a realistic and sustainable way to support health behaviour change on university campuses. Motivational Interviewing (MI) is an effective framework to guide behaviour change conversations in peer health coaching sessions. However, research on the perceptions of peer coaches who provide health coaching…
Descriptors: Peer Teaching, Health Promotion, Motivation Techniques, Phenomenology
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Li, Xiuhan; Yang, Yuqin; Chu, Samuel Kai Wah; Zainuddin, Zamzami; Zhang, Yin – Asia Pacific Journal of Education, 2022
Due to the challenges of all-round development, higher-education students are increasingly demanding more flexible learning that goes beyond the on-campus/online dichotomy. However, university students miss learning opportunities because of the conflict of time and space. Blended learning is an effective way to create more learning opportunities…
Descriptors: Blended Learning, Asynchronous Communication, Teaching Methods, Foreign Countries
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Ebenezer Afrifa-Yamoah; Esther Adama; Amanda Graf; Kwadwo Adusei-Asante – Journal of the Scholarship of Teaching and Learning, 2024
COVID-19 has revolutionised assessment design and practices in higher education; however, there has been no shift in the objective of enhancing the relationship between assessment and learning that promote the holistic development of students. In this study, we provide an empirical evaluation of the perceived effects of assessment practices…
Descriptors: Evaluation Methods, Educational Practices, Undergraduate Students, Foreign Countries
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Maloney, Suzanne; Axelsen, Megan; Galligan, Linda; Turner, Joanna; Redmond, Petrea; Brown, Alice; Basson, Marita; Lawrence, Jill – Online Learning, 2022
Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…
Descriptors: Learning Analytics, Video Technology, Learning Management Systems, Comparative Analysis
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Sochacka, Nicola W.; Delaine, David A.; Shepard, Thomas G.; Walther, Joachim – Advances in Engineering Education, 2021
Prior research indicates that empathy can help engineers achieve better outcomes in team-based, design, entrepreneurial, and humanitarian environments. We describe an educational innovation designed to teach engineering students empathic communication skills. Written in the spirit of a propagation (versus dissemination) paradigm, we focus on how…
Descriptors: Empathy, Teaching Methods, Engineering Education, Teamwork
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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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Gareth Davey – Journal of Applied Research in Higher Education, 2025
Purpose: Translanguaging is a language-related pedagogy drawing upon all resources within a learner's linguistic repertoire, in contrast to conventional monolingual pedagogy. Most research about translanguaging concerns English-language learning in primary schools and secondary schools and overlooks psychology subject matter, higher education and…
Descriptors: Code Switching (Language), Second Language Learning, Second Language Instruction, Language Usage
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Arslantas, Fatma; Wood, Eileen; Boersen, Brooke; Pulla, Victoria; Ferrier, Monika – International Journal of Higher Education, 2019
Terms such as 'compulsion' and 'addiction' are often used when describing young adults' response behaviors regarding texts and messages. Purpose of the Research: The present study documents response patterns for texts and messages in a higher education classroom context. Both the number of texts and messages responded to and the time taken between…
Descriptors: Student Reaction, Reader Response, Social Media, Computer Mediated Communication
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Watanabe, Hiroyuki; Goda, Yoshiko; Shimada, Atsushi; Yamada, Masanori – International Association for Development of the Information Society, 2021
Learning assistance is an essential part of higher education. Tutors, the core of the assistance staff, need to have learning assistance skills. If the potential for these skills can be identified when selecting tutors, the training method will be more efficient. Also, learning assistance skills are thought to be related to learning skills.…
Descriptors: Learning Analytics, Higher Education, Tutors, Learning Processes
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