Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Coding | 6 |
Misconceptions | 6 |
Programming | 6 |
Computer Science Education | 4 |
Teaching Methods | 4 |
Difficulty Level | 3 |
Student Attitudes | 3 |
Academic Achievement | 2 |
Artificial Intelligence | 2 |
Automation | 2 |
Bayesian Statistics | 2 |
More ▼ |
Source
Computer Science Education | 1 |
Informatics in Education | 1 |
International Educational… | 1 |
International Journal of… | 1 |
International Working Group… | 1 |
Journal of Educational… | 1 |
Author
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Collected Works - Proceedings | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 3 |
Secondary Education | 3 |
Middle Schools | 2 |
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Audience
Location
China | 1 |
Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Monika Mladenovic; Žana Žanko; Goran Zaharija – Journal of Educational Computing Research, 2024
The use of a pedagogical approach mediated transfer with the bridging method has been successful in facilitating the transitions from block-based to text-based programming languages. Nevertheless, there is a lack of research addressing the impact of this transfer on programming misconceptions during the transition. The way programming concepts are…
Descriptors: Programming, Misconceptions, Teaching Methods, Computer Science Education
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
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
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
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring