Course Desc<x>ription:
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<br>Advances in neuroscience and neuroimaging technology are transforming the way educational content is 
<br>delivered. This emerging field, also called neuroeducation, concerns with the interaction between mind, 
<br>brain, 
<br>and education which has been considered as a promising approach to understand and improve our 
<br>learning 
<br>and teaching experience. In this subject, we would like to introduce novel brain-mapping methods in 
<br>educational research. Students will develop interdisciplinary thinking and basic research analysis skills 
<br>toward 
<br>individual academic and professional goals. 
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<br>References:
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<br>BATTRO, A. M., FISCHER, K. W. & LENA, P. J. 2008. The Educated Brain: Essays in Neuroeducation, 
<br>Cambridge, Cambridge University Press.
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<br>TOKUHAMA-ESPINOSA, T. 2010. Mind, Brain, and Education Science: A Comprehensive Guide to the New 
<br>Brain-ba<x>sed Teaching, W. W. Norton.
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<br>Teaching Methods:
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<br>Subject presentation combines lecture, presentation, tutorial and laboratory sessions, and research and 
<br>development work for the assignments. The tutorial sessions focus on hands-on experience in brain data 
<br>analytics tools and understanding and interpretation of the results. The laboratory sessions focus on 
<br>hands-
<br>on experience in carrying out experiments and developing a small research project.
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<br>Syllabus: 
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<br>Week 1. Introduction to this subject
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<br>Week 2. The Nature of the Discipline; Three Disciplines: Education, Psychology, Neuroscience; Lab Tour, 
<br>Demonstrating how to conduct an experiment; VR experience
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<br>Wee 3. Neuroimaging Methods; Human Neuroanatomy & Methods for Localizing; Cognitive Functions; 
<br>Maps in 
<br>Brain; Introduction To EEG; Different EEG recording tools
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<br>Week 4. The Natural Journey from Brain to Mind
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<br>Week 5. Changing Perception to Action: The Beginning of Mind
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<br>Week 6. Emotion and Progress Toward Mind
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<br>Week 7. Growth of Mind by Making Meaning and Creating New Ideas
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<br>Week 8. Images and Other Neuronal Patterns for Building Mind
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<br>Week 9. Midterm
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<br>Week 10. The Laboratory in the Classroom
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<br>Week 11. The Symbolic Brain and Education: Language, Mathematics, and Music
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<br>Week 12. Creating Memory
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<br>Week 13. Using Memory
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<br>Week 14. Organizing Knowledge and Serving the Learner, me<x>tacognition and the Integrated Mind; How 
<br>MBE Science Offers Useable Knowledge to Teachers
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<br>Week 15. Oral Presentation I
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<br>Week 16. Oral Presentation II
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<br>Assessment:
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<br>Class activity 20% 
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<br>Assignments 50% (including 30% midterm exam) 
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<br>Final report 30% 
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<br>基於透明與負責任的原則，本課程鼓勵學生利用AI進行協作或互學，以提升本門課產出品質。根據本校公布之
<br>「大學教育場域AI協作、共學與素養培養指引」，本門課程採取有條件開放，說明如下
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<br>學生可於課堂作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議題發想、文句
<br>潤飾或結構參考等使用方式。然而，在本課程的「個人反思報告」、「小組採訪作業」中，學生不得使用生成式
<br>AI工具撰寫作業。若經查核使用卻無在作業或報告中標明，教師、學校或相關單位有權重新針對作業或報告重新
<br>評分或不予計分。
<br>本門課授課教材或學習資料若有引用自生成式AI，教師也將在投影片或口頭標注。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明。
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<br>Ethics Statement on Generative Artificial Intelligence
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<br>Grounded in the principles of transparency and responsibility, this course encourages students to leverage 
<br>AI for collaboration and mutual learning to enhance the quality of course outputs. In accordance with the 
<br>published Guidelines for Collaboration, Co-learning, and Cultivation of Artificial Intelligence Competencies 
<br>in University Education, this course adopts the following policy：Conditionally open
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<br>Students may briefly explain how generative AI was used for topic ideation, sentence refinement, or 
<br>structural reference in the footnotes of the ti<x>tle page or after the bibliography in their assignments or 
<br>reports. However, in the "personal reflection report" and "group interview assignment" of this course, 
<br>students are not allowed to use generative AI tools for writing assignments. If usage is discovered without 
<br>proper disclosure, instructors, the institution, or relevant units have the right to reevaluate the assignment 
<br>or report or withhold scores. If the course materials or learning resources have been derived from 
<br>generative AI, the instructor will also indicate this in the slides or orally. Students enrolled in this course 
<br>agree to the above ethics statement if registering for the class.
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