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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
Christina N. Morra; Sarah J. Adkins; M. Elizabeth Barnes; Obadiah J. Pirlo; Ryleigh Fleming; Bianca J. Convers; Sarah P. Glass; Michael L. Howell; Samiksha A. Raut – Journal of Microbiology & Biology Education, 2024
Misinformation regarding vaccine science decreased the receptiveness to COVID-19 vaccines, exacerbating the negative effects of the COVID-19 pandemic on society. To mitigate the negative societal impact of the COVID-19 pandemic, impactful and creative science communication was needed, yet little research has explored how to encourage COVID-19…
Descriptors: Undergraduate Students, COVID-19, Immunization Programs, Pandemics
Xinogalos, Stelios – ACM Transactions on Computing Education, 2015
The Object-Oriented Programming (OOP) technique is nowadays the most popular programming technique among tertiary education institutions. However, learning OOP is a cognitively demanding task for undergraduate students. Several difficulties and misconceptions have been recorded in the literature for both OOP concepts and languages, mainly Java.…
Descriptors: Programming, Design, Undergraduate Students, Misconceptions
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
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
Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
The present study explored 285 11th-grade students' preconceptions, misconceptions, and errors in solving mathematics tasks by graphical method. A descriptive-explorative study design was adopted. Cluster sampling was used to select students from sampled secondary schools in eastern and central Uganda. Students' paper and pen solution sketches…
Descriptors: Foreign Countries, Secondary School Mathematics, High School Students, Grade 11
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
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
Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen J. H.; Hwang, Gwo-Haur – Educational Technology & Society, 2015
Computer programming is an important skill for engineering and computer science students. However, teaching and learning programming concepts and skills has been recognized as a great challenge to both teachers and students. Therefore, the development of effective learning strategies and environments for programming courses has become an important…
Descriptors: Foreign Countries, Programming, Instructional Effectiveness, College Students
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
Stager, Gary S. – Independent School, 2015
Gary S. Stager is the coauthor of "Invent To Learn--Making, Tinkering, and Engineering in the Classroom," founder of "Constructing Modern Knowledge," special assistant to the head of school for innovation at the Willows Community School (California), and a teacher educator. In this article he begins by describing and debunking…
Descriptors: Misconceptions, Educational Technology, Technology Uses in Education, Power Structure
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
Ozdener, Nesrin – Computers & Education, 2008
This study focuses on how students in vocational high schools and universities interpret the algorithms in structural computer programming that concerns time-efficiency. The targeted research group consisted of 242 students from two vocational high schools and two departments of the Faculty of Education in Istanbul. This study used qualitative and…
Descriptors: Vocational High Schools, Mathematics Education, Programming, Statistical Analysis
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
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