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Josh Tenenberg; Donald Chinn – Computer Science Education, 2025
Background and context: We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic…
Descriptors: Computer Science Education, Epistemology, Student Attitudes, Intellectual Disciplines
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Ellegood, William A.; Bernard Bracy, Jill; Sweeney, Donald C., II; Duncan, Mimi; Burns, Kathleen – Journal of Further and Higher Education, 2019
In this study, we investigate the joint impacts of class size, modality of content delivery and instructor workloads on 1078 student performances from 2010 through 2014 in a required College of Business Administration Information Systems (IS) course at a public Midwestern university, controlling for 11 demographic and other factors that might…
Descriptors: Administrative Policy, Academic Achievement, Class Size, Faculty Workload
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Kalpokaite, Neringa; Radivojevic, Ivana – International Journal of Research & Method in Education, 2020
In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…
Descriptors: Instructional Effectiveness, Data Analysis, Computer Software, Conventional Instruction
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Seirup, Holly J.; Tirotta, Rose; Blue, Elfreda – Journal for Leadership and Instruction, 2016
As online education continues to grow, understanding faculty and student perceptions seems to be an imperative piece of the decision to continue to expand online offerings. The purpose of this study was to review faculty and students perceptions of online learning and to gain an understanding of the current status of distance education. This study…
Descriptors: Online Courses, Distance Education, Intermode Differences, Student Surveys
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Sun, Jerry Chih-Yuan; Martinez, Brandon; Seli, Helena – Educational Technology & Society, 2014
This study examines how incorporating different electronic feedback devices (i.e., clickers versus web-based polling) may affect specific types of student engagement (i.e., behavioral, emotional, and cognitive engagement), whether students' self-efficacy for learning and performance may differ between courses that have integrated clickers and…
Descriptors: Acoustics, Learner Engagement, Audience Response Systems, Teaching Methods
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Saghafi, Mahmoud Reza; Franz, Jill; Crowther, Philip – Journal of Interactive Learning Research, 2014
While the studio environment has been promoted as an ideal educational setting for project-based disciplines, few qualitative studies have been undertaken in a comprehensive way (Bose, 2007). This study responds to this need by adopting Grounded Theory methodology in a qualitative comparative approach. The research aims to explore the limitations…
Descriptors: Holistic Approach, Blended Learning, Models, Qualitative Research
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McKenna, Ann – New Directions for Teaching and Learning, 2006
This chapter highlights some specific differences encountered between K-12 and higher education settings as a way to provide context for several research studies under way in engineering education. Specifically, this chapter highlights differences in three aspects of an academic learning environment: faculty, students, and subject matter.
Descriptors: Research Opportunities, Elementary Secondary Education, Engineering Education, Educational Research