Abstract
The research project intended to integrate the realities and theories of service learning, training methods and curricula, interdisciplinary research results in Industry-university cooperation, betterness education, and social expectations to create a new pedagogical praxis research platform. For the new generation with a fierce competition, how to enhance the ability to survive is an important issue in the future. There are seven competitiveness factors of communication skills, problem-solving ability, planning ability, information analysis ability, ambition, time management ability and leadership. Participating students can increase the professional skills through actual participation in the service learning process in the future world. Through service learning of activities enhance children knowledge and information technology applications of life in rural primary school. Service learning emphasizes the concept of "learning" combined with "service", and enhance each of these skills with professional coaching and curriculum design, service learning projects, and specialized studies. In the service learning process, different job attributes can train different abilities. Training and review of results will be conducted through various mechanisms and rotation of works. The researchers will observe whether there is a difference in the ability of seven aspects through these processes. Before doing this project, the learner will be asked to fill in a competency analysis questionnaire. The learners need to fill in the working log in the service process. After the service is completed, the learners will fill in the service experience and questionnaire. The final data will be analyzed by one-way multivariate analysis of variance (MANOVA).
Author Information
Jui-Feng Ho, Far East University, Taiwan
Jung-Chun Liu, Far East University, Taiwan
Ling-Chin Ko, Kun Shan University, Taiwan
Paper Information
Conference: CHER-HongKong2018
Stream: Questing for innovation and entrepreneurship: Curriculum design and student learning
This paper is part of the CHER-HongKong2018 Conference Proceedings (View)
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