Development and Application of TeachingLearning Materials with a Generative AI for ‘Exploration and Design of Career and Job’ Lesson at Vocational High Schools
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This study aims to introduce Generative AI into vocational subject classes by developingteaching-learning materials that satisfy the achievement standards of ‘Exploration andDesign of Career and Job’ learning element in ‘Successful Career Life’ subject, which is aspecialized common subject presented in 2022 Revised National Curriculum for vocationalhigh schools. The ADDIE model was applied to develop the materials. In the analysis phase, a literature review was conducted to identify the instructional needsfor utilizing Generative AI in the ‘Successful Career Life’ subject of vocational high schools. Based on these findings, instructional goals were derived, and relevant tasks were analyzedto fulfill the achievement standards of the ‘Exploration and Design of Career and Job’learning element. In the design phase, specific learning objectives were formulated, and evaluation plansfor academic achievement were established. To enhance learner motivation, instructionalstrategies based on the ARCS model were constructed. ChatGPT, Gamma, and Canva wereselected as teaching-learning tools. In the development phase, a total of six instructional materials, including a lesson planfor the ‘Exploration and Design of Career and Job’ learning element, were developed. Thevalidity of these materials for field application was verified by experts, followed by a pilottest. Ultimately, materials for seven class sessions were completed. Afterwards, a pilot testwas conducted and teaching-learning materials for a total of 7 classes were completed. In the implementation phase, the developed teaching-learning materials were appliedin a class for 16 students at J Meister High School in Jeonbuk province. In the evaluationphase, the degree of learners’ achievement regarding the ‘Exploration and Design of Careerand Job’ standards was assessed using a developed rubric, and learner satisfaction wassurveyed. The average score for learners’ achievement based on the rubric was 14 out of 15. Through the above efforts, it is expected to provide opportunities to use new AI tools suchas Generative AI in vocational high school classes, and also to expand the scope of relatedliteracy cultivation and vocational education.
Abstract
This study aims to introduce Generative AI into vocational subject classes by developingteaching-learning materials that satisfy the achievement standards of ‘Exploration andDesign of Career and Job’ learning element in ‘Successful Career Life’ subject, which is aspecialized common subject presented in 2022 Revised National Curriculum for vocationalhigh schools. The ADDIE model was applied to develop the materials. In the analysis phase, a literature review was conducted to identify the instructional needsfor utilizing Generative AI in the ‘Successful Career Life’ subject of vocational high schools. Based on these findings, instructional goals were derived, and relevant tasks were analyzedto fulfill the achievement standards of the ‘Exploration and Design of Career and Job’learning element. In the design phase, specific learning objectives were formulated, and evaluation plansfor academic achievement were established. To enhance learner motivation, instructionalstrategies based on the ARCS model were constructed. ChatGPT, Gamma, and Canva wereselected as teaching-learning tools. In the development phase, a total of six instructional materials, including a lesson planfor the ‘Exploration and Design of Career and Job’ learning element, were developed. Thevalidity of these materials for field application was verified by experts, followed by a pilottest. Ultimately, materials for seven class sessions were completed. Afterwards, a pilot testwas conducted and teaching-learning materials for a total of 7 classes were completed. In the implementation phase, the developed teaching-learning materials were appliedin a class for 16 students at J Meister High School in Jeonbuk province. In the evaluationphase, the degree of learners’ achievement regarding the ‘Exploration and Design of Careerand Job’ standards was assessed using a developed rubric, and learner satisfaction wassurveyed. The average score for learners’ achievement based on the rubric was 14 out of 15. Through the above efforts, it is expected to provide opportunities to use new AI tools suchas Generative AI in vocational high school classes, and also to expand the scope of relatedliteracy cultivation and vocational education.