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Download full textMoon, 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
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
Direct linkKwon, Kyungbin; Ottenbreit-Leftwich, Anne T.; Brush, Thomas A.; Jeon, Minji; Yan, Ge – Educational Technology Research and Development, 2021
This study investigated how a computer science (CS) problem-based curriculum impacted elementary students' CS learning and attitudes. Four sixth-grade teachers and 200 of their students participated in the study. Researchers developed a CS curriculum in collaboration with the teachers, which consisted of two main units: (1) an introduction to…
Descriptors: Problem Based Learning, Elementary School Curriculum, Elementary School Students, Student Attitudes
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
Brush, Thomas; Ottenbreit-Leftwich, Anne; Kwon, Kyungbin; Karlin, Michael – Journal of Computers in Mathematics and Science Teaching, 2020
The focus of this research project was to examine how problem- based learning (PBL) impacts students' interest and knowledge in computer science (CS) at the elementary level. By focusing on a problem that emphasizes social activism, we hypothesized that PBL CS could increase interest for students. We employed an iterative design-based research…
Descriptors: Culturally Relevant Education, Curriculum Implementation, Problem Based Learning, Computer Science Education
Kwon, Kyungbin; Song, Donggil; Sari, Annisa R.; Khikmatillaeva, Umida – Journal of Educational Computing Research, 2019
The purpose of this study was to investigate the types of problem-solving behaviors and their effects on solution quality in an online collaborative learning context. A total of 12 preservice teachers enrolled in a computer education course participated in the study. Students in pairs, randomly assigned by the instructor, carried out a…
Descriptors: Cooperative Learning, Problem Solving, Electronic Learning, Preservice Teachers
Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2017
Understanding the students' programming misconceptions is critical in that it identifies the reasons why students make errors in programming and allows instructors to design instructions accordingly. This study investigated the mental models of programming concepts held by pre-service teachers who were novice programmers. In an introductory…
Descriptors: Programming, Novices, Misconceptions, Instructional Design
Kwon, Kyungbin; Jonassen, David H. – Journal of Educational Computing Research, 2011
In this study, the effects of reflective self-explanations on conceptual understanding and problem solving are investigated in a domain of computer programming. After completing a multiple-choice test, 33 students were asked to reflect on and explain why their answers were correct or incorrect. Groups were divided for post hoc analysis based on…
Descriptors: Multiple Choice Tests, Prior Learning, Problem Solving, Programming
