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Showing 1 to 15 of 21 results Save | Export
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Yi Jin; Jason R. Harron – International Journal of Computer Science Education in Schools, 2023
Computer science (CS) has become a critical part of K-12 education worldwide. Computational thinking (CT) skills are a key set of competencies in CS education that can solve problems and use computational design to create useful solutions. However, preservice and in-service teachers are not fully prepared to integrate CS and CT into their…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Computer Science Education
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Meina Zhu; Cheng Wang – International Journal of Computer Science Education in Schools, 2023
Given the increasing needs of employees with computational skills, understanding the core competencies of K-12 computer science (CS) education is vital. This phenomenological research aims to identify critical factors of CS education in K-12 schools from the perspectives and visions of CS faculties in higher education and teachers in K-12 schools.…
Descriptors: College Faculty, Elementary Secondary Education, Teacher Attitudes, Universities
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Lucas Vasconcelos; Fatih Ari; Ismahan Arslan-Ari; Lily Lamb – International Journal of Computer Science Education in Schools, 2023
Computer Science (CS) stereotypes promote the mindset that nerdy White males who have a high IQ and are technology enthusiasts are the ones to succeed in the field, leading to gender and racial disparities. This quasi-experimental study investigated if exposing teacher candidates to a stereotypical vs. counter-stereotypical CS role model affects…
Descriptors: Role Models, Preservice Teachers, Computer Science Education, Student Attitudes
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Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
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Sharman, Jonathan; Acemyan, Claudia Ziegler; Kortum, Philip; Wallach, Dan – International Journal of Computer Science Education in Schools, 2021
Software security is inevitably dependent on developers' ability to to design and implement software without security bugs. Perhaps unsurprisingly, developers often fail to do this. Our goal is to understand this from a usability perspective, identifying how we might best train developers and equip them with the right software tools. To this end,…
Descriptors: Teaching Methods, Computer Science Education, Undergraduate Students, Computer Software
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Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
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Abdüsselam, Mustafa Serkan; Turan-Güntepe, Ebru – International Journal of Computer Science Education in Schools, 2021
This study aims to determine the perceptions of undergraduates, who are receiving coding in a faculty of education, on modal representations employed in the teaching process and identify their transition skills between representations. The research used the quantitative research method, non-experimental design, and descriptive search models,…
Descriptors: Undergraduate Students, Computer Science Education, Coding, Student Attitudes
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Kukul, Volkan; Çakir, Recep – International Journal of Computer Science Education in Schools, 2020
Computational thinking (CT) has become a skill that is taught starting from an early age with its increasing popularity. In addition, the opinion that CT is related to other 21st century skills finds its place in the literature. The main purpose of this study is to identify the contributions of scaffolding-based game programming activities to…
Descriptors: Thinking Skills, 21st Century Skills, Skill Development, Scaffolding (Teaching Technique)
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Gurer, Melih Derya; Tokumaci, Seyfullah – International Journal of Computer Science Education in Schools, 2020
Literature indicated that attitude toward programming, programming self-efficacy, gender, and students' department was related to achievement in computer programming. However, there is a need for further studies investigating to what extent these factors explain programming achievement in a model. This study aimed to investigate the effects of…
Descriptors: Student Attitudes, Programming, Self Efficacy, Gender Differences
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Sirakaya, Didem Alsancak – International Journal of Computer Science Education in Schools, 2020
This research aims to determine the change in students' computational thinking skills according to their ICT and mobile technology experience and frequency of use. The sample of the study, designed with the survey model, consisted of 269 students attending a vocational school of higher education. Data were collected using the Computational…
Descriptors: Thinking Skills, Information Technology, Handheld Devices, Electronic Learning
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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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Haseski, Halil Ibrahim – International Journal of Computer Science Education in Schools, 2019
The aim of the present study was to determine the views of pre-service teachers on artificial intelligence. In the present qualitative study, conducted with the phenomenology design, that data were collected from 94 pre-service teachers attending different departments at Manisa Celal Bayar University, Faculty of Education during the 2018- 2019…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Artificial Intelligence
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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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