• Title/Summary/Keyword: problem solving-centered teaching

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Educational Psychology in the Age of the Fourth Industrial Revolution (제4차 산업혁명 시대의 교육심리학)

  • LEE, Sun-young
    • (The)Korea Educational Review
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    • v.23 no.1
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    • pp.231-260
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    • 2017
  • The Fourth Industrial Revolution foreshadows radical changes in our lives. In the era of the fourth industrial revolution called the digital revolution, individualized learning based on ubiquitous learning is emphasized. The contents of learning will be centered on procedural knowledge rather than narrative knowledge, and fusion education in which boundaries between learning domains are broken down will be achieved. First of all, learners in the fourth industrial revolution era should have critical thinking and problem solving abilities. Metacognition based on self-control and cognitive flexibility is important for effective self-directed and active learning. Creativity-based collaborative activities, social vision skills, and social and emotional skills are also important competencies. Therefore, in order to provide individualized learning contents to learners in the fourth industrial revolution era, they should be transformed into learning paradigm based on personal characteristics such as learners' self-efficacy, interest, curiosity and creativity. In addition to this, evaluation forms should be diversified according to changing teaching and learning methods. In order to cultivate teachers to lead such educational innovation, it is necessary to reconsider the teaching capacity. Teachers should be able to construct creative lessons by skillfully exploiting technology in future learning environments. In addition to this, it should also have the ability to collaborate and cognitive flexibility to converge with other academic disciplines. Along with these discussions, we proposed the need for policy intervention along with changes in education.

Analysis of Educational Situation in Environment Class at High School with View of Good Environment Class (좋은 환경 수업의 관점에서 본 고등학교 환경 수업 학습 상황 분석)

  • Ahn, Jae-Jung;Choi, Don-Hyung
    • Hwankyungkyoyuk
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    • v.23 no.4
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    • pp.1-14
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    • 2010
  • The purpose of this study is to find the meaning of the good class, and based on this, situation of environmental education in high school is researched. Through those above processes, desirable direction of the environment class is suggested. For this study, we are trying to reflect the characteristics of environmental education on the general good classes, and from this, the meaning of good environment class is known. Moreover, for this study, we choose environment classes from four high schools leading by environment major teacher. From those four classes, we analyzed these things: educational situation of environment class, teachers' interviews. All of these are for analyzing environment class with the view of good environmental class. A well-formed environment class manifests the features of environment education in all aspects of teaching and learning process, including learning objectives, learning materials, procedures, and evaluations. Furthermore, it should be 'student-centered' class in which active interaction among the learners or between the instructor and the students is considered most important. Students are not the passive receiver, but rather, they actively participate in the learning process by reorganizing the knowledge as they experience and become independent learners who are actively involved in the problem-solving process. In this way, we can generate a great deal of students' interest and motivation, which in turn makes the class interesting, enjoyable, full of energy and still effective. If there is the class reflecting the factors of environmental education above good class' ways, it will be the good environment class. In the current situation of environment class, the rate of student's class participation and study activity was low. This tendency is not too different between four groups except students' support to teachers. This result means that learners' will to participate in their classes actively is not high. Moreover, about 46.3% of students did not understand some parts of new knowledge and about the parts, students' solution was 'does nothing' and the rate was also so high. Teachers tried to make their class with considering students' interest, and focusing their learner's real life. However, learners are all general education high school students, so teachers have aversion about making their students heavy activities.

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A Case Study on the Effect of the Artificial Intelligence Storytelling(AI+ST) Learning Method (인공지능 스토리텔링(AI+ST) 학습 효과에 관한 사례연구)

  • Yeo, Hyeon Deok;Kang, Hye-Kyung
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.495-509
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    • 2020
  • This study is a theoretical research to explore ways to effectively learn AI in the age of intelligent information driven by artificial intelligence (hereinafter referred to as AI). The emphasis is on presenting a teaching method to make AI education accessible not only to students majoring in mathematics, statistics, or computer science, but also to other majors such as humanities and social sciences and the general public. Given the need for 'Explainable AI(XAI: eXplainable AI)' and 'the importance of storytelling for a sensible and intelligent machine(AI)' by Patrick Winston at the MIT AI Institute [33], we can find the significance of research on AI storytelling learning model. To this end, we discuss the possibility through a pilot study targeting general students of an university in Daegu. First, we introduce the AI storytelling(AI+ST) learning method[30], and review the educational goals, the system of contents, the learning methodology and the use of new AI tools in the method. Then, the results of the learners are compared and analyzed, focusing on research questions: 1) Can the AI+ST learning method complement algorithm-driven or developer-centered learning methods? 2) Whether the AI+ST learning method is effective for students and thus help them to develop their AI comprehension, interest and application skills.