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Liu, Zhongxiu; Zhi, Rui; Hicks, Andrew; Barnes, Tiffany – Computer Science Education, 2017
Debugging is an over-looked component in K-12 computational thinking education. Few K-12 programming environments are designed to teach debugging, and most debugging research were conducted on college-aged students. In this paper, we presented debugging exercises to 6th-8th grade students and analyzed their problem solving behaviors in a…
Descriptors: Problem Solving, Middle School Students, Student Behavior, Programming
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Doube, Wendy; Lang, Catherine – Computer Science Education, 2012
A multimedia university programme with relatively equal numbers of male and female students in elective programming subjects provided a rare opportunity to investigate female motivation to study and pursue computer programming in a career. The MSLQ was used to survey 85 participants. In common with research into deterrence of females from STEM…
Descriptors: Foreign Countries, Sex Stereotypes, Females, Self Efficacy
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Cummins, Stephen; Burd, Liz; Hatch, Andrew – Computer Science Education, 2011
This article presents an investigation into the usage of shareable feedback tags as a way of delivering feedback to three different cohorts of programming students. A series of research questions are examined; these include investigating any perceived benefit from students using feedback tags and exploring how students interact with their…
Descriptors: Feedback (Response), Programming, Investigations, Student Behavior
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Mason, Raina; Cooper, Graham – Computer Science Education, 2013
This paper reports on a series of introductory programming workshops, initially targeting female high school students, which utilised Lego Mindstorms robots. Cognitive load theory (CLT) was applied to the instructional design of the workshops, and a controlled experiment was also conducted investigating aspects of the interface. Results indicated…
Descriptors: Programming, Introductory Courses, Cognitive Processes, Difficulty Level
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Sheard, Judy; Carbone, Angela; Hurst, A. J. – Computer Science Education, 2010
This article reports on a study of student engagement in the first year of their undergraduate information and communication technology (ICT) degree at an Australian university. The study was conducted at Monash University in the four undergraduate ICT degrees of the Faculty of Information Technology. The study draws on data collected from staff…
Descriptors: Undergraduate Students, Student Motivation, Learning Experience, Student Experience
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Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation
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Wolfe, Joanna – Computer Science Education, 2004
Despite the multiple potential benefits of asking students working on programming tasks to consider human factors, most programming assignments narrowly focus on technical details and requirements. Female students in particular may be attracted to assignments that emphasize human as well as technical factors. To assess how students respond to…
Descriptors: Assignments, Human Factors Engineering, Programming, Rhetoric
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Chalup, Stephan K.; Mellor, Drew; Rosamond, Fran – Computer Science Education, 2005
Hex is a challenging strategy board game for two players. To enhance students' progress in acquiring understanding and practical experience with complex machine intelligence and programming concepts we developed the Machine Intelligence Hex (MIHex) project. The associated undergraduate student assignment is about designing and implementing Hex…
Descriptors: Undergraduate Students, Student Attitudes, Programming, Questionnaires
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Lane, H. Chad; VanLehn, Kurt – Computer Science Education, 2005
For beginning programmers, inadequate problem solving and planning skills are among the most salient of their weaknesses. In this paper, we test the efficacy of natural language tutoring to teach and scaffold acquisition of these skills. We describe ProPL (Pro-PELL), a dialogue-based intelligent tutoring system that elicits goal decompositions and…
Descriptors: Control Groups, Intelligent Tutoring Systems, Programming, Natural Language Processing