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Ben-David Kolikant, Yifat; ma'ayan, Ze'ev – Computer Science Education, 2018
Higher-education students now have more alternatives for searching for information than previous generations had. The Internet is a vast ocean of information sources, albeit with diverse reliability and quality. In Web 2.0 platforms, any participant can be a content creator. This reality is challenging for both the instructors and the students. We…
Descriptors: Computer Science Education, Higher Education, Internet, Web 2.0 Technologies
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Pon-Barry, Heather; Packard, Becky Wai-Ling; St. John, Audrey – Computer Science Education, 2017
A dilemma within computer science departments is developing sustainable ways to expand capacity within introductory computer science courses while remaining committed to inclusive practices. Training near-peer mentors for peer code review is one solution. This paper describes the preparation of near-peer mentors for their role, with a focus on…
Descriptors: Computer Science Education, Mentors, Peer Teaching, Feedback (Response)
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Ben-David Kolikant, Yifat; Genut, Sara – Computer Science Education, 2017
In line with the growing interest in extending the diversity of CS students, we examined the performance of a unique group of students studying an introductory course in Digital logic: ultraorthodox Jewish men, whose previous education was based mostly on studying Talmud and who lacked a conventional high-school education. We used questions from…
Descriptors: Jews, Males, Prior Learning, Computer Science Education
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Ott, Claudia; Robins, Anthony; Haden, Patricia; Shephard, Kerry – Computer Science Education, 2015
In higher education, quality feedback for students is regarded as one of the main contributors to improve student learning. Feedback to support students' development into self-regulated learners, who set their own goals, self-monitor their actual performance according to these goals, and adjust learning strategies if necessary, is seen as an…
Descriptors: Computer Science Education, Learning Strategies, Introductory Courses, College Students
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Beyer, Sylvia – Computer Science Education, 2014
This study addresses why women are underrepresented in Computer Science (CS). Data from 1319 American first-year college students (872 female and 447 male) indicate that gender differences in computer self-efficacy, stereotypes, interests, values, interpersonal orientation, and personality exist. If students had had a positive experience in their…
Descriptors: Computer Science Education, Females, Womens Education, Disproportionate Representation