• Journal of Korean Home Economics Education Association
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• v.23 no.1
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• pp.87-111
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• 2011

The purpose of this study was to develop and evaluate practical problem-based Home Economics lesson plans applying to the multiple intelligence teaching learning strategy, focused on the unit 'Nutrition & Meals' of middle school Home Economics subject matter. To achieve this purpose, the lesson plans were developed and evaluated from the 72 middle school students in Chongju after implementing the instruction. The data from the questionnaire were analyzed by SPSS/WIN 12.0 and content analysis. The results were as follows: First, the objectives of practical problem-based 'Nutrition & Meals' Instruction using multiple intelligence teaching strategy were to understand the importance of nutrition and health in an adolescent period and to develop good eating habits. The Practical Problem was 'What should I do for good eating habits?' and the learning contents were healthy life, the kinds and functions of nutriments, food pyramid and a food guide. The learning activities were progressed by various types of teaching and learning methods including 8 types of multiple intelligence teaching strategy. The lesson plans were developed according to the process of practical problem solving model. 6 periods of lesson plans and worksheets were developed. Second, the practical problem-based instruction using multiple intelligence teaching-learning strategy were evaluated to increase students' positive learning attitudes, motivation, and good eating habits.

• Journal of Korean Home Economics Education Association
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• v.33 no.4
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• pp.85-101
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• 2021

The purpose of this study was to make suggestions for improvement by analyzing the activity tasks in the clothing life area in middle school 「Technology & Home Economics」 textbooks of the 2015 revised curriculum. For this purpose, the multiple intelligence teaching-learning strategy analysis criteria were reconstructed and used for analysis. The activity tasks of the clothing life area of 「Technology & Home Economics I」 textbooks from 12 different publishers were analyzed based on the reconstructed analysis criteria, and the content validity was verified by 11 experts. The content validity, assessed by CVI was 0.94. According to the results, the logical·mathematical intelligence accounted for the highest proportion with 31.02%, followed by linguistic intelligence(23.81%), visual/spatial intelligence(17.08%), intrapersonal intelligence(14.71%), interpersonal intelligence(5.79%), bodily/kinesthetic intelligence(5.22%), naturalistic intelligence(2.37%), and musical intelligence(0.00%). The results showed that the teaching-learning strategies most frequently implemented in clothing life area were logical/mathematical intelligence, linguistic intelligence, visual/spatial intelligence, and intrapersonal intelligence. On the other hand, teaching-learning strategies related to interpersonal intelligence, bodily/kinesthetic intelligence, and naturalistic intelligence were used at a relatively low proportion. Therefore, it is recommended to expand the teaching-learning strategies of interpersonal, bodily/kinesthetic, naturalistic and musical intelligence, for a more balanced intelligence development of students.

• The Journal of Korean Association of Computer Education
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• v.13 no.2
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• pp.15-23
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• 2010

Computational Literacy education is being required in current digital age, but the educational strategy of it is lacking. In traditional education, instructors have been teaching by considering learners' characteristics for effective learning. It is necessary to investigate their characteristics for applying this method to computational literacy education. Therefore, we taught programming that is main area on computational literacy, and analyzed learners' characteristics focused on Felder's learning style and multiple intelligence. That is, we taught 194 university students computational literacy with scratch that was one of the popular educational programming languages, and analyzed the relation among learning style, multiple intelligence and the students' programming performance. Also, we found considerations through comparing students' characteristics with experts' ones.

• Journal of Engineering Education Research
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• v.11 no.4
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• pp.19-33
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• 2008

The purpose of this study is to find out the effects of the use of Chatting Method(with AI Chatting robot: Chatterbot) and Computer Interest Levels on Teaching & Learning. The major findings of the study are as follows. Firstly, the chatting activities using the chatterbot method and computer Interest Levels were not effective in the academic achievement. Secondly, the chatting activities using the chatterbot method and computer Interest Levels were effective in improving the learning motivation. Thirdly, According to the result of post-feedback analysis, the benefits of chatterbot method was 'the new', 'transcends time and space', 'drill and practice learning' and was some of the drawbacks 'response fixed', lack of emotional transactions. and the proposal 'PBL' was reached(1. strength: new experience, 2. weakness: be tired, 3. proposal: PBL approach). Fourthly, the relationship between the academic achievement, learning motivation, post-feedback was no correlation. Based on these results, the study suggests that the chatterbot method was need for multiple instructional design strategy.