• Journal of Korean Elementary Science Education
• /
• v.43 no.3
• /
• pp.415-432
• /
• 2024

This study developed and applied the teacher education model and its principles for science classes using Virtual and Augmented Reality (VR/AR) content and analyzed preservice elementary teachers' feedback on the teacher education model and the changes in their perceptions as to the use of VR/AR content. First, existing Technological Pedagogical Content Knowledge (TPACK) teacher education models and prior studies on the use of the VR/AR contents were reviewed to derive the teacher education model to cultivate the VR/AR-TPACK and set the key principles for each of its stages. The developed teacher education model has five stages: exploration, mapping, collaborative design, practice, and reflection. Second, to examine the appropriateness of the model's five stages and principles, we applied it within the regular course of instruction at the university of education, which was attended by 25 preservice elementary teachers. This study collected data from surveys on the perception of the usage of VR/AR contents before and after the course, as well as the group lesson plans prepared by the preservice teachers, and their feedback on the teacher education model. The feedback on the teacher education model and the survey conducted by the preservice teachers before and after the course were analyzed through open coding and categorization. As a result, most preservice teachers expressed positive opinions about the activities and experiences at each stage of the implementation of the teacher education model. Perceptions related to the usage of the VR/AR content changed in three aspects: first, the vague positive perception of the VR/AR content has changed to a positive perception based on specific educational affordance. Second, they recognized the need for preparedness by anticipating potential problems associated with the use of the VR/AR content. Third, they came to view the VR/AR contents as a useful instructional resource that the teachers could use. Based on these results, we discussed the implications for the VR/AR-TPACK teacher education model and assessed the limitations of the research.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.01a
• /
• pp.165-166
• /
• 2016

오늘날 요구되는 새로운 인재 교육을 위하여 초 중등학교에 다양한 테크놀로지를 수업에 도입하고자 하는 시도가 이루어지고 있다. 본 논문에서는 현직 초 중등학교 교사 37명을 대상으로 테크놀로지를 도입한 과학수업에 대한 인식을 조사하였다. 연구 결과, 대부분의 교사들은 과학 수업에서 테크놀로지를 도입하는 것의 효과를 인식하고 있었으나, 구체적으로 실행할 방법적인 측면에서 고민하고 있는 것으로 나타났다. 따라서 앞으로 테크놀로지를 활용한 과학 교수법을 개발하고, 이를 효율적으로 활용할 수 있도록 교사들의 수업전문성을 발달시킬 교사 교육 프로그램 개발에 대한 후속연구가 필요하다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.183-184
• /
• 2016

본 논문에서는 2015 개정 교육과정에서 강조하고 있는 SW 교육의 교육용 프로그래밍 언어(EPL)에 대한 현직 초등 교사들의 실태와 요구를 분석하였다. 현직 초등 교사들이 대부분 이수한 교대의 교육과정에는 교육용 프로그래밍 언어 교육에 관한 내용은 대다수 없는 것으로 파악되었다. 또한 현장에서 실시되고 있는 교육용 프로그래밍 언어에 관한 연수는 양적으로도 연수의 수가 부족할 뿐만 아니라 질적으로도 개선이 필요한 것으로 분석되었다. 교육용 프로그래밍 언어에 대한 현직 교사의 사례들에서도 교육용 프로그래밍 언어에 대한 교사교육에 관한 다양한 요구가 분석되었다. 이를 통하여 교육용 프로그래밍 언어에 대한 초등 교사교육의 필요성과 방향에 대하여 제언하였다.

• Education of Primary School Mathematics
• /
• v.26 no.3
• /
• pp.163-180
• /
• 2023

This study aimed to investigate the factors influencing the intentions of elementary school teachers to use artificial intelligence (AI) in mathematics lessons and to identify the essential prerequisites for the effective implementation of AI in mathematics education. To achieve this purpose, we examined the structural relationship between elementary school teachers' TPACK(Technological Pedagogical Content Knowledge) and the TAM(Technology Acceptance Model) using structural equation model. The findings of the study indicated that elementary school teachers' TPACK regarding the use of AI in mathematics instruction had a direct and significant impact on their perceived ease of use and perceived usefulness of AI. In other words, when teachers possessed a higher level of TPACK competency in utilizing AI in mathematics classes, they found it easier to incorporate AI technology and recognized it as a valuable tool to enhance students' mathematics learning experience. In addition, perceived ease of use and perceived usefulness directly influenced the attitudes of elementary school teachers towards the integration of AI in mathematics education. When teachers perceived AI as easy to use in their mathematics lessons, they were more likely to recognize its usefulness and develop a positive attitude towards its application in the classroom. Perceived ease of use, perceived usefulness, and attitude towards AI integration in mathematics classes had a direct impact on the intentions of elementary school teachers to use AI in their mathematics instruction. As teachers perceived AI as easy to use, valuable, and developed a positive attitude towards its incorporation, their intention to utilize AI in mathematics education increased. In conclusion, this study shed light on the factors influencing elementary school teachers' intentions to use AI in mathematics classes. It revealed that teachers' TPACK plays a crucial role in facilitating the integration of AI in mathematics education. Additionally, the study emphasized the significance of enhancing teachers' awareness of the advantages and convenience of using AI in mathematics instruction to foster positive attitudes and intentions towards its implementation. By understanding these factors, educational stakeholders can develop strategies to effectively promote the utilization of AI in mathematics education, ultimately enhancing students' learning outcomes.

• The Mathematical Education
• /
• v.61 no.4
• /
• pp.521-537
• /
• 2022

The unprecedented COVID-19 pandemic has disrupted, interrupted, and changed the way we normally prepare our teacher candidates in teacher preparation programs. In this paper, we, two mathematics teacher educators (MTEs), reflect our own experiences in appropriating, transforming, reconstructing, and modifying our pedagogies of teacher education in making a transition from face-to-face to online environment during the COVID-19 pandemic. Using a collaborative self-study, we discussed issues, challenges, changes, opportunities, and innovations of teaching an elementary mathematics methods course in the online environment. Using a constant comparison method, we explored the following three themes: (1) using virtual manipulatives; (2) creating collaborative, interactive, and shared learning experiences for preservice teachers; and (3) making preservice teachers engaged in student thinking. These findings indicated that online teaching requires transformative knowledge for teacher educators. Transferring face-to-face to online is not a simple matter of putting the existing content to online; it should focus on pedagogical improvement in teaching mathematics rather than technology's sake or how it can be repurposed in a new online environment in a way that students' learning is optimized. The findings of this study provide implications for unpacking MTEs' technological pedagogical content knowledge (TPACK), creating collaborative learning experiences for preservice teachers, and designing a collaborative self-study between MTEs engaged in the community of professional learning.

• Journal of Practical Engineering Education
• /
• v.15 no.3
• /
• pp.597-603
• /
• 2023

This study evaluates the AI digital competencies of teachers and presents a step-by-step framework for teacher's AI digital competencies that can be utilized in training. To do this, AI digital competencies were analyzed from the perspective of utilization and disposition, linked with the Technological Pedagogical Content Knowledge (TPACK) perspective. Then, as a precedent for step-by-step teacher AI digital competencies, the 3-step competency of the British Education and Training Foundation and the UNESCO ICT Teacher Competency Framework were presented. In this study, teacher's AI digital competencies were divided into three stages: entry, adaptation, and leadership, considering precedent research and domestic conditions. The initial entry stage passed the validity test in the second round of the Delphi survey, and the other two stages passed in the first round. The final entry stage is described as a stage where teachers understand AI digital but have difficulty implementing it, the adaptation stage is a level applied to standard curricula, and the leadership stage is a level where AI digital is applied in advanced courses and teachers serve as models for others. Through the overall AI digital competencies presented in this study, detailed competency development is possible, and it can be used as a reference material for developing evaluation items.