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Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Hayama, Tessai; Odate, Hidetaka; Ishida, Naoto – International Journal on E-Learning, 2020
The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…
Descriptors: Student Behavior, Data Collection, Measurement Equipment, College Students
Wen Xu – Higher Education: The International Journal of Higher Education Research, 2024
Chinese higher education policy texts appear to suggest that training 'para-diplomats' is a goal of China's international student recruitment. However, few studies have considered the ways such policies are recontextualised and implemented at the institutional (meso-) level and become integral to students' career pathways after graduation. To…
Descriptors: Higher Education, Hidden Curriculum, Classification, Ethnography
Dean, Bonnie; Yanamandram, Venkata; Eady, Michelle J.; Moroney, Tracey; O'Donnell, Nuala; Glover-Chambers, Tracey – Journal of University Teaching and Learning Practice, 2020
Work-Integrated Learning (WIL) is an important pedagogical strategy for developing employability skills by immersing students in real-world understandings, applications and practices. Increasingly, universities are focusing on how WIL can be scaffolded across a degree, to involve students in a variety of WIL activities in order to apply…
Descriptors: Teaching Methods, Job Skills, Experiential Learning, Work Experience Programs
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Rivera-Reyes, Presentacion; Lawanto, Oenardi; Pate, Michale L. – International Education Studies, 2016
Coregulation (CRL) is a transitional process in which students share problem-solving techniques and utilize self-regulated learning (SRL) when interacting with peers. Coregulation may help students to define and modify inconsistencies in their SRL strategy. Task interpretation is described as the critical first step in the SRL process, and it is a…
Descriptors: Problem Solving, Peer Relationship, Interaction, Self Control
Kaider, Friederika; Hains-Wesson, Rachael; Young, Karen – Asia-Pacific Journal of Cooperative Education, 2017
Increased graduate employment is an aspiration of Australian universities who are adopting new and innovative approaches to ensure that all students have opportunities to develop the employability skills much sought after by employers. Placements have been a traditional means for developing such skills but because these are not available to all…
Descriptors: Learning Activities, Integrated Activities, Workplace Learning, Classification
Munoz, Laura; Miller, Richard J.; Poole, Sonja Martin – Marketing Education Review, 2016
On the basis of experiential learning theory and Cialdini's principles of influence, two psychological streams focused on providing hands-on experiences and on effectively influencing individuals, this article identifies a typology of students to engage them in professional student organizations. Exploratory factor analysis and cluster analysis…
Descriptors: Student Organizations, Classification, Student Participation, Factor Analysis
Rosenthal, Maura B.; Eliason, Susan K. – Journal of Physical Education, Recreation & Dance, 2015
In response to an iPad initiative at a mid-sized New England university, all faculty, junior and senior undergraduates, and graduate students were required to have iPads by the first day of class in the fall semester of 2013. Goals of the initiative focused on preparing future teachers to use the iPad as a teaching and learning tool so they could…
Descriptors: College Students, College Faculty, Physical Education, Higher Education
Kollars, Nina A.; Rosen, Amanda M. – Journal of Political Science Education, 2013
Assessment through simulation is something that political science pedagogy has yet to explore in a robust manner. This article advances analysis of social science simulation and assessment by laying out a typology of active-learning activities that isolates and examines their potential for assessment. In short, we argue that there are essentially…
Descriptors: Simulation, Student Evaluation, Political Science, Active Learning
Rienties, Bart; Lewis, Tim; McFarlane, Ruth; Nguyen, Quan; Toetenel, Lisette – Computer Assisted Language Learning, 2018
Language education has a rich history of research and scholarship focusing on the effectiveness of learning activities and the impact these have on student behaviour and outcomes. One of the basic assumptions in foreign language pedagogy and CALL in particular is that learners want to be able to communicate effectively with native speakers of…
Descriptors: Data Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
Barney, Keith W. – Schole: A Journal of Leisure Studies and Recreation Education, 2013
Students in recreation programs are often introduced to laws that apply to therapeutic or community recreation services. Several of these laws have to do with policy regarding people who experience a disability. One important law is the Individuals with Disabilities Education Act (IDEA). In order for students to better understand the law and its…
Descriptors: Disabilities, Federal Legislation, Educational Legislation, Advocacy
Siyepu, Sibawu Witness – International Journal of STEM Education, 2015
Background: This article reports on an analysis of errors that were displayed by students who studied mathematics in Chemical Engineering in derivatives of mostly trigonometric functions. The poor performance of these students triggered this study. The researcher (lecturer) works in a mathematics support programme to enhance students'…
Descriptors: Mathematics Instruction, Error Patterns, Qualitative Research, Case Studies
Yang, Ping – International Education Studies, 2015
This paper reflects on a team translation project on Aboriginal culture designed to enhance university students' intercultural communication competence and understanding through engaging in an interactive team translation project funded by the Australia-China Council. A selected group of Chinese speaking translation students participated in the…
Descriptors: Intercultural Communication, Chinese, Translation, College Students
Huang, Yueh-Min; Huang, Yong-Ming; Liu, Chien-Hung; Tsai, Chin-Chung – Interactive Learning Environments, 2013
Web-based self-learning (WBSL) has received a lot of attention in recent years due to the vast amount of varied materials available in the Web 2.0 environment. However, this large amount of material also has resulted in a serious problem of cognitive overload that degrades the efficacy of learning. In this study, an information graphics method is…
Descriptors: Web 2.0 Technologies, Cognitive Processes, Difficulty Level, College Students
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