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Çakiroglu, Ünal; Atabas, Samet; Sariyalçinkaya, Dogukan; Öner, Ibrahim Enes – International Journal of Computer Science Education in Schools, 2020
This article draws on a one-semester online programming course to determine the relationships between the types of feedback that students received and their programming performances. An explorative study was designed including both quantitative and qualitative data. Participants were 15 second-year students enrolled at an Information Technology…
Descriptors: Computer Science Education, Programming, Feedback (Response), Online Courses
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Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
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Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
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Chen, Chen; Jeckel, Stuart; Sonnert, Gerhard; Sadler, Philip M. – International Journal of Computer Science Education in Schools, 2019
This study examines the relationship between students' pre-college experience with computers and their later success in introductory computer science classes in college. Data were drawn from a nationally representative sample of 10,197 students enrolled in computer science at 118 colleges and universities in the United States. We found that…
Descriptors: Computer Science Education, Programming, Academic Achievement, College Students
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Brown, Richard S.; Brown, Emily Anne – International Journal of Computer Science Education in Schools, 2019
This study employs a potential outcomes modeling approach to estimate the effect of Code.org's Professional Learning Program on Advanced Placement (AP) Computer Science Principles test taking and qualifying score earned for a recent cohort of 167 schools compared to a matched group of comparison schools. Results indicate substantial and…
Descriptors: Instructional Effectiveness, Teacher Education Programs, Advanced Placement, Outcome Measures
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Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
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Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
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How, Meng-Leong; Looi, Chee-Kit – International Journal of Computer Science Education in Schools, 2018
Computational Thinking (CT) is pervasive in our daily lives and is useful for problem-solving. Decision-making is a crucial part of problem-solving. In the extant literature, problem-solving strategies in educational settings are often conveniently attributed to intuition; however, it is well documented that computer programmers might even have…
Descriptors: Mathematics Instruction, Equations (Mathematics), Scaffolding (Teaching Technique), Decision Making
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Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – International Journal of Computer Science Education in Schools, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts LOA levels have been named: problem, design, code and running the code. In a qualitative exploratory study, five K-5 teachers were interviewed on their uses of LOA, particularly the…
Descriptors: Elementary School Teachers, Programming, Pedagogical Content Knowledge, Computation
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Lockwood, James; Mooney, Aidan – International Journal of Computer Science Education in Schools, 2018
Computational Thinking has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert (Papert, 1980) is credited as concretising Computational Thinking in 1980 but Jeanette Wing (Wing, 2006) popularised the term in 2006 and brought it to the international community's attention.…
Descriptors: Computation, Thinking Skills, Logical Thinking, Secondary Education
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Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
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Çakiroglu, Ünal; Er, Betül; Ugur, Nursel; Aydogdu, Esra – International Journal of Computer Science Education in Schools, 2018
This study attempts to understand the relationship between learning styles and self-regulated learning of preservice computer teachers in a programming course. Students' strategies for self-regulation with regard to their learning styles were assessed on the basis of qualitative data in terms of programming course. The Turkish version of…
Descriptors: Learning Strategies, Independent Study, Programming, Computer Science Education
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Friebroon-Yesharim, Mor; Ben-Ari, Mordechai – International Journal of Computer Science Education in Schools, 2018
Studying computer science (CS) in elementary schools has gained become popular in recent years. However, students at such a young age encounter difficulties when first engaging with CS. Robotics has been proposed as a medium for teaching CS to young students, because it reifies concepts in a tangible object, and because of the excitement of…
Descriptors: Computer Science Education, Robotics, Elementary School Students, Elementary School Science
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Fees, Rachel E.; da Rosa, Jennifer A.; Durkin, Sarah S.; Murray, Mark M.; Moran, Angela L. – International Journal of Computer Science Education in Schools, 2018
The United States Naval Academy (USNA) STEM Center for Education and Outreach addresses an urgent Navy and national need for more young people to pursue careers in STEM fields through world-wide outreach to 17,000 students and 900 teachers per year. To achieve this mission, the STEM Center has developed a hands-on and inquiry-based methodology to…
Descriptors: Computer Science Education, STEM Education, Computer Security, Experiential Learning
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Sukhodolsky, Jacob – International Journal of Computer Science Education in Schools, 2017
The problem of Computer Science students' cheating in their homework assignments so far has been handled mainly through administrative punishment of the cheaters. The success of such an approach depends to a large degree on the ability of the instructor to recognize the fact of cheating, which is a complicated task. With a large number of students…
Descriptors: Cheating, Computer Science Education, Programming, Grading
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