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Research on the Learning Effect of the Positive Emotions of "Ship Fuel-Saving Project" APP for Engineering Students

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  • Chih-Chao Chung

    (Department of Industrial Engineering and Management, Fortune Institute of Technology, Kaohsiung 83160, Taiwan)

  • Yuh-Ming Cheng

    (Department of Computer Science & Information Engineering, SHU-TE University, Kaohsiung 82445, Taiwan)

  • Ru-Chu Shih

    (Department of Modern Languages, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

  • Shi-Jer Lou

    (Graduate Institute of Technological and Vocational Education, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan)

Abstract

The purpose of this study is to explore the impacts of “positive emotions” through the App Inventor 2 Ship Fuel-Saving Project on the “positive emotions literacy” and “ship fuel-saving literacy” of university students of the Engineering Department. In this study, 115 students were selected as the research object, experimental teaching was conducted in a group cooperative learning mode, and the positive emotional elements were integrated into the AI 2 Ship Fuel-Saving Project. The research conclusions were as follows. (1) The Blended teaching method and the mixed learning program of the “Positive AI 2 Fuel-Saving Project” provided students with diversified learning channels; (2) the Project presented significant positive affirmation for the improvement of students’ positive emotional literacy; (3) the Project resulted in significantly greater improvement of students’ fuel-saving literacy in the experimental group than in the control group; (4) students in the experimental group showed the best positive emotion with confidence in the learning process of the project; and (5) the “ship fuel-saving literacy” and “ship fuel-saving works achievement” of students in the experimental group showed a significantly high positive correlation. Finally, the “Positive AI 2 Fuel-Saving Project Teaching Mode” was constructed, which can be a reference for promoting the practical teaching of positive emotions and ship fuel-saving literacy in the future.

Suggested Citation

  • Chih-Chao Chung & Yuh-Ming Cheng & Ru-Chu Shih & Shi-Jer Lou, 2019. "Research on the Learning Effect of the Positive Emotions of "Ship Fuel-Saving Project" APP for Engineering Students," Sustainability, MDPI, vol. 11(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:4:p:1136-:d:207931
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    1. Massimo Delogu & Francesco Del Pero & Marco Pierini, 2016. "Lightweight Design Solutions in the Automotive Field: Environmental Modelling Based on Fuel Reduction Value Applied to Diesel Turbocharged Vehicles," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    2. Ang, B.W. & Fwa, T.F., 1989. "A study on the fuel-consumption characteristics of public buses," Energy, Elsevier, vol. 14(12), pages 797-803.
    3. Nurul Hidayah Muslim & Ali Keyvanfar & Arezou Shafaghat & Mu’azu Mohammed Abdullahi & Majid Khorami, 2018. "Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission," Sustainability, MDPI, vol. 10(2), pages 1-30, January.
    4. Asche, Frank & Gjolberg, Ole & Volker, Teresa, 2003. "Price relationships in the petroleum market: an analysis of crude oil and refined product prices," Energy Economics, Elsevier, vol. 25(3), pages 289-301, May.
    5. Yang Wang & Alessandra Boggio-Marzet, 2018. "Evaluation of Eco-Driving Training for Fuel Efficiency and Emissions Reduction According to Road Type," Sustainability, MDPI, vol. 10(11), pages 1-16, October.
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    Cited by:

    1. Jing Tan & Jie Mao & Yizhang Jiang & Ming Gao, 2021. "The Influence of Academic Emotions on Learning Effects: A Systematic Review," IJERPH, MDPI, vol. 18(18), pages 1-19, September.

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