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Webb, Kevin C.; Zingaro, Daniel; Liao, Soohyun Nam; Taylor, Cynthia; Lee, Cynthia; Clancy, Michael; Porter, Leo – ACM Transactions on Computing Education, 2022
A Concept Inventory (CI) is an assessment to measure student conceptual understanding of a particular topic. This article presents the results of a CI for basic data structures (BDSI) that has been previously shown to have strong evidence for validity. The goal of this work is to help researchers or instructors who administer the BDSI in their own…
Descriptors: Measures (Individuals), Concept Formation, Computer Science Education, Test Results
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Viswanathan, Sree Aurovindh; VanLehn, Kurt – IEEE Transactions on Learning Technologies, 2018
Effective collaboration between student peers is not spontaneous. A system that can measure collaboration in real-time may be useful, as it could alert an instructor to pairs that need help in collaborating effectively. We tested whether superficial measures of speech and user interface actions would suffice for measuring collaboration. Pairs of…
Descriptors: Cooperative Learning, Data Collection, Data Analysis, Speech Communication
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Xu, Cuiqin; Qi, Yan – Educational Technology & Society, 2017
Using computer keystroke logs, this study investigated how writing skill affected L2 writers' pausing patterns to gain insights into their management of the cognitive writing processes. The 59 participants, 29 in the more-skilled group and 30 in the less-skilled group, were recruited from a college English course at a key Chinese university. The…
Descriptors: Computer Assisted Instruction, Writing Instruction, Second Language Instruction, English (Second Language)
Carr, Tracinal S. – ProQuest LLC, 2014
This qualitative evaluation focused on the problem of student attrition at a northern California college, its attendance policy, the policy's impact on previous students' decisions to persist in school, and on administrators' attempts to increase retention. The purpose for this study was to evaluate the participants' perceptions about their…
Descriptors: College Attendance, School Policy, Educational Policy, Student Attrition
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Lukowiak, Twila; Hunzicker, Jana – Journal of Effective Teaching, 2013
Part of a larger research project, this article presents a phenomenological self-study exploring the qualities of student engagement that occurred in one professors' college class-room over two semesters' time. The purpose of the study was to better understand college students' engagement in learning utilizing a reflective, data-based process. The…
Descriptors: College Students, Learner Engagement, Student Attitudes, Educational Attitudes
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Rouse, Peter C.; Biddle, Stuart J. H. – Health Education Journal, 2010
Objective: We used ecological momentary assessment to understand the physical activity and sedentary behaviour patterns of university students. Study design: Cross sectional, opportunistic sample from a university in the English midlands. Methods: Ecological momentary assessment diaries were completed every 15 minutes across two days. The sample…
Descriptors: Foreign Countries, College Students, Physical Activity Level, Student Behavior
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Minnaar, A. – Africa Education Review, 2011
E-learning includes the use of the internet for accessing learning materials, interacting with learning content and with instructors and students to obtain support during the learning process in order to gain knowledge and personal meaning and to grow. It occurs when students have electronic access to resources and where they are in regular online…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Internet
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use