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Baloyi, Leonah L.; Ojo, Sunday O.; Van Wyk, Etienne A. – International Association for Development of the Information Society, 2017
Teaching and learning programming has presented many challenges in institutions of higher learning worldwide. Teaching and learning programming require cognitive reasoning, mainly due to the fundamental reality that the underlying concepts are complex and abstract. As a result, many institutions of higher learning are faced with low success rates…
Descriptors: Computer Science Education, Programming, Instructional Design, Interaction
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Kim, Dae-Kyoo; Jeong, Dongwon; Lu, Lunjin; Debnath, Debatosh; Ming, Hua – Computer Science Education, 2015
The need for computing education in the K-12 curriculum has grown globally. The Republic of Korea is not an exception. In response to the need, the Korean Ministry of Education has announced an outline for software-centric computing education in the K-12 system, which aims at enhancing the current computing education with software emphasis. In…
Descriptors: Foreign Countries, Computer Science Education, Elementary Secondary Education, Computer Software
Colby, Jennifer – Knowledge Quest, 2015
This article describes a school librarian's experience with initiating an Hour of Code event for her school's student body. Hadi Partovi of Code.org conceived the Hour of Code "to get ten million students to try one hour of computer science" (Partovi, 2013a), which is implemented during Computer Science Education Week with a goal of…
Descriptors: High Schools, School Libraries, Computer Science Education, Library Role
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Eckerdal, Anna – Studies in Higher Education, 2015
Computer programming education has practice-oriented as well as theory-oriented learning goals. Here, lab work plays an important role in students' learning. It is however widely reported that many students face great difficulties in learning theory as well as practice. This paper investigates the important but problematic relation between the…
Descriptors: Theory Practice Relationship, Computer Science Education, Programming, Laboratories
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Ngan, Shing-Chung; Law, Kris M. Y. – Asia-Pacific Education Researcher, 2015
Educating our future engineers so that they can gain high proficiency in computational thinking is essential for their career prospects. As educators, acquiring a good understanding of the various learning motivation factors/tools as well as their inter-relationships is a significant step forward in achieving this goal. In this article, we…
Descriptors: Network Analysis, Learning Motivation, Electronic Learning, Computer Science Education
Agada, Ruth O. – ProQuest LLC, 2016
Recognition of spontaneous emotion would influence human-computer interaction and emotion-related studies in many related fields. In any given environment, the spontaneous generation of expression are more often observed than their prototypic counterparts.This thesis explores methods for detecting emotional facial expressions occurring in a…
Descriptors: Intelligent Tutoring Systems, Comprehension, Nonverbal Communication, Identification
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Pantic, Katarina; Clarke-Midura, Jody; Poole, Frederick; Roller, Jared; Allan, Vicki – Computer Science Education, 2018
Stereotypes people hold about computer scientists contribute to underrepresentation in computer science. Perceptions of computer scientists have historically been linked to males and a "nerd" culture, which can lead to lack of interest, particularly for girls. This article presents two studies conducted with two groups of middle…
Descriptors: Stereotypes, Computer Science, Disproportionate Representation, Gender Differences
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Rolandsson, Lennart; Skogh, Inga-Britt; Männikkö Barbutiu, Sirkku – International Journal of Technology and Design Education, 2017
Computing and computers are introduced in school as important examples of technology, sometimes as a subject matter of their own, and sometimes they are used as tools for other subjects. All in all, one might even say that "learning about" computing and computers is part of "learning about" technology. Lately, many countries…
Descriptors: Teacher Attitudes, Reflective Teaching, Computer Science Education, Programming
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Brown, Neil C. C.; Altadmri, Amjad – ACM Transactions on Computing Education, 2017
Teaching is the process of conveying knowledge and skills to learners. It involves preventing misunderstandings or correcting misconceptions that learners have acquired. Thus, effective teaching relies on solid knowledge of the discipline, but also a good grasp of where learners are likely to trip up or misunderstand. In programming, there is much…
Descriptors: Novices, Programming Languages, Programming, Error Patterns
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Hundhausen, C. D.; Olivares, D. M.; Carter, A. S. – ACM Transactions on Computing Education, 2017
In recent years, learning process data have become increasingly easy to collect through computer-based learning environments. This has led to increased interest in the field of "learning analytics," which is concerned with leveraging learning process data in order to better understand, and ultimately to improve, teaching and learning. In…
Descriptors: Learning Analytics, Computer Science Education, Programming, Learning Processes
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Tan, Wee Lum; Venema, Sven; Gonzalez, Ruben – International Association for Development of the Information Society, 2017
Transitioning to university is recognised as a challenging endeavour for commencing students. For commencing Computer Science students specifically, evidence suggests a link between poor performance in introductory technical courses, such as programming, and high attrition rates. Building resilience in students, particularly at the start of their…
Descriptors: College Freshmen, Computer Science Education, Programming, Introductory Courses
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Good, Jonathon; Keenan, Sarah; Mishra, Punya – Journal of Computers in Mathematics and Science Teaching, 2016
The popular press is rife with examples of how students in the United States and around the globe are learning to program, make, and tinker. The Hour of Code, maker-education, and similar efforts are advocating that more students be exposed to principles found within computer science. We propose an expansion beyond simply teaching computational…
Descriptors: Aesthetics, Computer Science Education, Thinking Skills, Computer Literacy
Zinth, Jennifer Dounay – Education Commission of the States, 2015
Computer science and coding skills are widely recognized as a valuable asset in the current and projected job market. The Bureau of Labor Statistics projects 37.5 percent growth from 2012 to 2022 in the "computer systems design and related services" industry--from 1,620,300 jobs in 2012 to an estimated 2,229,000 jobs in 2022. Yet some…
Descriptors: Computer Science, Computer Science Education, Graduation Requirements, High Schools
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Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing – Journal of Educational Computing Research, 2018
This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…
Descriptors: Computer Science Education, Programming, Programming Languages, Novices
Donley, Kevin S. – ProQuest LLC, 2018
The fundamentals of computer science are increasingly important to consider as critical educational and occupational competencies, as evidenced by the rapid growth of computing capabilities and the proliferation of the Internet in the 21st century, combined with reimagined national education standards. Despite this technological and social…
Descriptors: Computer Science Education, Programming, Programming Languages, Computation
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