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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
Hwang, Gwo-Jen; Tung, Li-Hsien; Fang, Jian-Wen – Journal of Educational Computing Research, 2023
Fostering students' computer programming skills has become an important educational issue in the globe. However, it remains a challenge for students to understand those abstract concepts when learning computer programming, implying the need to provide instant learning diagnosis and feedback in computer programming activities. In this study, a…
Descriptors: Programming, Thinking Skills, Problem Solving, Computer Science Education
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
Qian, Yizhou; Lehman, James D. – SAGE Open, 2019
With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. Digital tools, such as automated assessment systems, can be useful and supportive in teaching CS courses. This…
Descriptors: Feedback (Response), Student Attitudes, Misconceptions, Introductory Courses
Elmali, Filiz; Tekin, Ahmet; Polat, Ebru – Turkish Online Journal of Distance Education, 2020
The main goal of this study is to determine the digital citizenship perceptions and digital citizenship levels of preschool teacher candidates in terms of digital rights and responsibilities, digital security and digital law by comparing them with Computer and Instructional Technologies teacher candidates' perception. To this end, we worked with…
Descriptors: Preservice Teachers, Preservice Teacher Education, Preschool Education, Computer Science Education
Brinda, Torsten; Napierala, Stephan; Tobinski, David; Diethelm, Ira – Education and Information Technologies, 2019
The ability to categorize concepts is an essential capability for human thinking and action. On the one hand, the investigation of such abilities is the purview of psychology; on the other hand, subject-specific educational research is also of interest, as a number of research works in the field of science education show. For computer science…
Descriptors: Information Technology, Computer Science Education, Misconceptions, Student Attitudes
Sadik, Olgun; Ottenbreit-Leftwich, Anne Todd; Brush, Thomas Andrew – International Journal of Computer Science Education in Schools, 2020
The purpose of this study is to identify secondary computer science (CS) teachers' pedagogical needs in the United States. Participants were selected from secondary teachers who were teaching CS courses or content in a school setting (public, private, or charter) or an after-school program during the time of data collection. This is a qualitative…
Descriptors: Secondary School Teachers, Computer Science Education, Student Centered Learning, Teaching Methods
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
Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
Holstein, Simona; Cohen, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2016
The characteristics of successful MOOCs were explored in this study. Thousands of student reviews regarding five xMOOCs (Massive Open Online Course) in the fields of software, science, and management were extracted from the Coursetalk website and analyzed by quantitative and qualitative methods using the Garrison, Anderson, and Archer (2000)…
Descriptors: Online Courses, Instructional Effectiveness, Computer Science Education, Computer Software
Rashkovits, Rami; Lavy, Ilana – Journal of Information Technology Education: Innovations in Practice, 2012
This study examines how Information Systems Engineering School students on the verge of their graduation understand the mechanism of exception handling. The main contributions of this paper are as follows: we construct a questionnaire aimed at examining students' level of understanding concerning exceptions; we classify and analyse the students'…
Descriptors: Programming, Programming Languages, Computer Science Education, College Curriculum
Tangney, Brendan; Oldham, Elizabeth; Conneely, Claire; Barrett, Stephen; Lawlor, John – IEEE Transactions on Education, 2010
This paper describes a model for computer programming outreach workshops aimed at second-level students (ages 15-16). Participants engage in a series of programming activities based on the Scratch visual programming language, and a very strong group-based pedagogy is followed. Participants are not required to have any prior programming experience.…
Descriptors: Foreign Countries, Computer Software, Programming Languages, Computer Science Education
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Gal-Ezer, Judith; Zur, Ela – Computers and Education, 2004
The implementation of a new computer science (CS) curriculum in high schools which includes all the basic elements of traditional CS programs, motivated a research to determine how students conceive the very fundamental notion of efficiency. Since this was the first time that algorithm efficiency was integrated into a high school curriculum, our…
Descriptors: Secondary School Curriculum, Misconceptions, Computer Science Education, High School Students

Clarke, Valerie A.; Teague, G. Joy – Computers & Education, 1996
Researchers studying attitudes toward computer careers interviewed 68 students in a university computer science course, 33 secondary school girls, and 19 women working professionally in computer-based careers. Both groups of students tended to stereotype computer-related careers as menial, isolating, and overly technical; this view differed…
Descriptors: College Students, Computer Attitudes, Computer Science, Computer Science Education
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