Ikseon Choi

Prof. Dr. Ikseon Choi

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2005 in Instructional Science
Verified
Journal Article
Closed access
PDF file
ICIkseon Choi
Ikseon Choi
SLSusan M. Land
Susan M. Land
ATAlfred J. Turgeon
Alfred J. Turgeon

29 March 2008 in Educational Technology Research and Development
Verified
Journal Article
Closed access
PDF file
ICIkseon Choi
Ikseon Choi
KLKyunghwa Lee
Kyunghwa Lee

30 October 2024 in Education Sciences
Verified
Journal Article
Open access
PDF file
LSLehong Shi
Lehong Shi
ADAi-Chu Elisha Ding
Ai-Chu Elisha Ding
ICIkseon Choi
Ikseon Choi
Recent research indicates the significant potential of artificial intelligence (AI) in enhancing teachers’ instructional practices in areas such as lesson planning, personalized teacher intervention and feedback, and performance assessment. To fully realize the potential of AI in teaching, it is crucial to understand how teachers innovatively apply and critically evaluate AI applications in their teaching practices. However, there is a research gap in investigating how teachers use various features of an AI-enabled system and their perceptions of AI integration in teaching to promote teachers’ effective AI integration practices. Employing an exploratory case study design, we investigated how six science teachers utilized an AI-enabled inquiry intelligent tutoring system (Inq-ITS) within their teaching and examined their perceptions of AI integration. Classroom observations and teacher interview data were collected. When using Inq-ITS functionalities, two teachers with a pedagogical orientation of teacher-guided scientific inquiry mainly engaged with its virtual tutor and teacher report summary features. Conversely, four teachers, practicing the pedagogical orientation of AI-guided scientific inquiry, relied on the AI system to guide student learning, interacting intensively with its features, particularly real-time teacher alerts and teacher inquiry practice support. Regardless of the differences in using Inq-ITS features, all teachers recognized the potential benefits of pedagogical change and encountered various challenges. This analysis also revealed that teachers exhibited distinct perceptions regarding the role of Inq-ITS integration in their teaching. Teachers who adopted a teacher-guided pedagogical orientation perceived the Inq-ITS as a supporting tool that enhanced traditional teaching methods. In contrast, those with an AI-guided pedagogical orientation viewed the Inq-ITS as akin to a teaching assistant and a pedagogical collaborator. The findings underscored the importance of enhancing teachers’ realization of the pedagogical affordance of AI in teaching through their use of AI functionalities. It is essential to consider teachers’ diverse perceptions of AI integration when promoting their integration of AI into teaching practices.

1 December 2021 in Computers & Education
Verified
Journal Article
Closed access
Heng LuoHeng Luo
Heng Luo
TYTingting Yang
Tingting Yang
SKSejung Kwon
Sejung Kwon
GLGege Li
Gege Li
MZMingzhang Zuo
Mingzhang Zuo
ICIkseon Choi
Ikseon Choi

2 January 2020 in Traffic Injury Prevention
Verified
Journal Article
Closed access
Heng LuoHeng Luo
Heng Luo
TYTingting Yang
Tingting Yang
SKSejung Kwon
Sejung Kwon
MZMingzhang Zuo
Mingzhang Zuo
WLWenhao Li
Wenhao Li
ICIkseon Choi
Ikseon Choi
Objective: China has a high fatality rate for child pedestrians, which highlights the necessity of implementing more effective pedestrian safety training programs in elementary schools. We thus investigated the efficacy of using virtual reality (VR) as an instructional technology to identify and modify risky pedestrian behaviors among Chinese children. Methods: Seventy-nine children (grades 1 through 3) from three elementary schools in Hubei province participated and were categorized into urban (n = 20), migrant (n = 29), or rural (n = 30) students based on the schools’ locations. They completed a VR program comprising three street-crossing challenges to measure five pedestrian behaviors. The participants first attempted to complete the challenges by themselves in the first-time trial (T1) and then engaged in a personalized debriefing session before undertaking the challenges a second time (T2). Pedestrian performance for the two trials was compared by school location and grade level as between-subjects factors, and the rationale behind risky pedestrian behaviors was inductively analyzed. Results: Three risky pedestrian behaviors were observed in the program: dashing into the street, crossing on a blinking green light, and failing to check for traffic. Potential reasons for these behaviors included a lack of knowledge of road signs and traffic rules and the absence of daily adult supervision. The overall pedestrian performance increased from T1 to T2 with a moderate effect size (Ƞp2 = 0.59, p < .001). A significant main effect of the trials was found for the three pedestrian behaviors (for all values, p < .001); however, interactions of trial by location and trial by grade were nonsignificant in all univariate tests (for all values, p ≥ .05). Conclusions: VR is an effective technology to diagnose and correct risky pedestrian behaviors among Chinese children when accompanied with individual debriefing and repetitive practices. School location and grade level had no significant influence on children’s pedestrian performance and learning outcomes, indicating the ubiquity of the pedestrian safety problem and the need for more effective instructional interventions.

27 December 2022 in Educational Technology Research and Development
Verified
Journal Article
Closed access
PDF file
YQYingxiao Qian
Yingxiao Qian
ICIkseon Choi
Ikseon Choi