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Ting Ding; Mengqi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
The level of information technology is increasing, and technology is developed. University English teaching has also changed under its influence. Different from the traditional teaching in the past, more and more students adopt the mode of "Internet + Smartphone" to learn English. This paper proposes a teaching mode evaluation method in…
Descriptors: English for Special Purposes, Educational Change, Business Administration Education, Data
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Beena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
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Farris, Frank A.; Tsao, Ryan – PRIMUS, 2016
The technique of "group-averaging" produces colorings of a sphere that have the symmetries of various polyhedra. The concepts are accessible at the undergraduate level, without being well-known in typical courses on algebra or geometry. The material makes an excellent discovery project, especially for students with some background in…
Descriptors: Undergraduate Students, Art Activities, Mathematical Concepts, Photography
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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Shaw, Mahauganee D.; Dumford, Amber D.; Cole, Eddie R.; Nelson Laird, Thomas F.; Haywood, Antwione M. – Journal on Excellence in College Teaching, 2015
Data from the 2010 administration of the Faculty Survey of Student Engagement were used to identify pairs of disciplines in which faculty want to be compared based on research practices, teaching practices, and perceptions of student engagement in academic activities. The goal of this study was to group disciplines by a method with which faculty…
Descriptors: Preferences, College Faculty, Intellectual Disciplines, Sociometric Techniques
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Stes, Ann; Van Petegem, Peter – Studies in Higher Education, 2014
Teaching approaches in higher education have already been the subject of a considerable body of research. An important contribution was Prosser and Trigwell's development of the Approaches to Teaching Inventory (ATI). The present study aims to map out the approaches to teaching profiles of teachers in higher education on the basis of their scores…
Descriptors: Higher Education, Teaching Methods, Profiles, Educational Strategies
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Parpala, Anna; Lindblom-Ylanne, Sari; Rytkonen, Henna – Assessment & Evaluation in Higher Education, 2011
This paper explores students' conceptions of good teaching in three different disciplines. Moreover, the aim is to explore the relation between these conceptions and students' approaches to learning by combining qualitative and quantitative methods. A total of 695 students from the Faculties of Behavioural Sciences, Law and Veterinary Medicine…
Descriptors: Student Evaluation, Student Attitudes, Veterinary Medicine, Content Analysis
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Zendler, A.; Spannagel, C.; Klaudt, D. – IEEE Transactions on Education, 2011
Constructivist approaches to computer science education emphasize that as well as knowledge, thinking skills and processes are involved in active knowledge construction. K-12 computer science curricula must not be based on fashions and trends, but on contents and processes that are observable in various domains of computer science, that can be…
Descriptors: Computer Science Education, Elementary Secondary Education, Thinking Skills, Cluster Grouping
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Kanev, Kamen; Kimura, Shigeo; Orr, Thomas – International Journal of Distance Education Technologies, 2009
In this article, we propose a framework for Computer-Supported Collaborative Learning (CSCL) employing dynamic groups, where at different stages students work independently, interact with each other in pairs, and conduct joint work in larger groups with varying numbers of participants. A Dynamic Group Environment for Collaborative Learning…
Descriptors: Printed Materials, Group Dynamics, Cooperative Learning, Computer Assisted Instruction