Kyungbin Kwon
Biographic Data
| ID | 6511400 |
|---|---|
| NAME | Kyungbin Kwon |
| GIVEN NAMES | Kyungbin |
| FAMILY NAME | Kwon |
| SIGNATURE | KWON K |
| AFFILIATIONS | Indiana University Bloomington |
| ORCID | 0000-0001-8646-0144 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Computational thinking through embodied learning
This study explores the impact of embodied learning activities, implemented in both mixed-reality and unplugged contexts, along with robot programming, on early elementary students' computational thinking (CT) knowledge, competence, and attitudes. A total of 67 first-grade students from a rural elementary school participated in the quasi-experimental study, which compared how these different modes of embodied learning influenced CT skill acquisit…
A systematic review of the evaluation in K-12 artificial intelligence education from 2013 to 2022
Exploring researchers’ artificial intelligence (AI) literacy
Many researchers have started using artificial intelligence (AI) tools in the different parts of their scientific research processes. A high level of AI literacy is required to utilize AI tools effectively. AI literacy also includes many cognitive and technical skills. These pre-requisite skills can impact researchers’ AI usage competencies. In this context, the current study aimed to investigate the determinants of researchers’ AI literacy from …
Unveiling teacher identity development
Embodied learning for computational thinking in early primary education
This study examined how embodied learning experiences support students to grasp abstract CT concepts in early primary education. Forty-seven students were recruited from first- and second-grade classrooms. They had five embodied activities that simulated robot programming tasks requiring students to (1) figure out a route from a starting point to a destination, (2) convert the spatial information into codes, and (3) perform spatial movements acco…
Peer Collaborative Clinical Decision Making in Nursing Simulation
Background: Collaboration and decision making among nursing students are essential competencies in nursing education. However, how students collaborate and make decisions in simulation is a complex phenomenon and not well understood. This study aimed to develop a framework that describes peer collaborative clinical decision making (PCCDM) among nursing students in simulation. Method: Charmaz's constructivist grounded theory method was used. The s…
Peer Emotion in Collaborative Simulation Among Nursing Students
Background The emotional experiences of nursing students are linked to learning outcomes. Peer learning is a key component of nursing education and simulation. However, little is known about the emotions of students in the context of peer learning. This study sought to provide an in-depth description of nursing students' emotional experiences when participating with another peer in a simulation activity. Method Data were obtained from a study of …
Parallel Instruction of Text-based and Block-based Programming
Computational thinking practices
The primary goals of this research were to investigate the development of computational thinking (CT) skills among elementary students and to identify areas for improvement in their CT practices. Empirical investigations, accomplished in a learner-centered, problem-based learning curriculum for sixth-graders, sought to examine student proficiency in CT practices by analyzing programs developed by students. A total of 30 students participated in t…
Effects of different graphic organizers in asynchronous online discussions
Integration of problem-based learning in elementary computer science education
Fostering transfer of responsibility in the middle school PBL classroom
Teachers’ Self-efficacy Matters
Group regulation and social-emotional interactions observed in computer supported collaborative learning
The Zone learning community
Assisting doctoral students with developing teaching skills along with providing effective instruction is a common dilemma in academia. We propose a model for developing skill sets of two audiences, doctoral teaching assistants and students. For the teaching assistants, or ZONE mentors, they gain valuable and meaningful skills in course design, online feedback and evaluation, and demonstration of course concepts. For students, the ZONE model enco…
No prominent works on this page.
The Zone learning community
Assisting doctoral students with developing teaching skills along with providing effective instruction is a common dilemma in academia. We propose a model for developing skill sets of two audiences, doctoral teaching assistants and students. For the teaching assistants, or ZONE mentors, they gain valuable and meaningful skills in course design, online feedback and evaluation, and demonstration of course concepts. For students, the ZONE model enco…
Group regulation and social-emotional interactions observed in computer supported collaborative learning
Teachers’ Self-efficacy Matters
Integration of problem-based learning in elementary computer science education
Fostering transfer of responsibility in the middle school PBL classroom
Computational thinking practices
The primary goals of this research were to investigate the development of computational thinking (CT) skills among elementary students and to identify areas for improvement in their CT practices. Empirical investigations, accomplished in a learner-centered, problem-based learning curriculum for sixth-graders, sought to examine student proficiency in CT practices by analyzing programs developed by students. A total of 30 students participated in t…
Effects of different graphic organizers in asynchronous online discussions
Embodied learning for computational thinking in early primary education
This study examined how embodied learning experiences support students to grasp abstract CT concepts in early primary education. Forty-seven students were recruited from first- and second-grade classrooms. They had five embodied activities that simulated robot programming tasks requiring students to (1) figure out a route from a starting point to a destination, (2) convert the spatial information into codes, and (3) perform spatial movements acco…
Peer Collaborative Clinical Decision Making in Nursing Simulation
Background: Collaboration and decision making among nursing students are essential competencies in nursing education. However, how students collaborate and make decisions in simulation is a complex phenomenon and not well understood. This study aimed to develop a framework that describes peer collaborative clinical decision making (PCCDM) among nursing students in simulation. Method: Charmaz's constructivist grounded theory method was used. The s…
Peer Emotion in Collaborative Simulation Among Nursing Students
Background The emotional experiences of nursing students are linked to learning outcomes. Peer learning is a key component of nursing education and simulation. However, little is known about the emotions of students in the context of peer learning. This study sought to provide an in-depth description of nursing students' emotional experiences when participating with another peer in a simulation activity. Method Data were obtained from a study of …
Parallel Instruction of Text-based and Block-based Programming
Computational thinking through embodied learning
This study explores the impact of embodied learning activities, implemented in both mixed-reality and unplugged contexts, along with robot programming, on early elementary students' computational thinking (CT) knowledge, competence, and attitudes. A total of 67 first-grade students from a rural elementary school participated in the quasi-experimental study, which compared how these different modes of embodied learning influenced CT skill acquisit…
A systematic review of the evaluation in K-12 artificial intelligence education from 2013 to 2022
Exploring researchers’ artificial intelligence (AI) literacy
Many researchers have started using artificial intelligence (AI) tools in the different parts of their scientific research processes. A high level of AI literacy is required to utilize AI tools effectively. AI literacy also includes many cognitive and technical skills. These pre-requisite skills can impact researchers’ AI usage competencies. In this context, the current study aimed to investigate the determinants of researchers’ AI literacy from …
Unveiling teacher identity development
Psychology (14 works) · Computer Science (12 works) · Mathematics education (12 works) · Pedagogy (8 works) · Computational Thinking (5 works) · Educational Games and Gamification (5 works) · Innovative Teaching and Learning Methods (5 works) · Teaching and Learning Programming (5 works) · Artificial Intelligence (4 works) · Educational technology (4 works)