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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Teacher education courses
- Instructor(s)
- Terai Asuka Watanabe Yuki
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive (W934)
- Group
- -
- Course number
- LAT.A208
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 3-4Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course covers human learning mechanism (reasoning, problem solving, knowledge acquisition etc.) applying artificial intelligence and educational technology and introduces examples of instructional design applying them. In "Learning mechanism and instructional design B", we introduce educational systems of human learning and their application to instructional design.
Student learning outcomes
・To understand higher cognitive mechanism (reasoning, problem solving, knowledge acquisition etc.) focusing on human learning.
・To design instruction based on understanding human learning mechanism.
Theme: application of learning mechanism to instructional design
Keywords
Artificial intelligence, educational system, instructional design, learning environment design
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
We adopt standard lecture-style teaching, accompanied practice.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Neural Network (unsupervised learning) | Explain characteristics of neural network (unsupervised learning) |
| Class 2 | Neural Network (supervised learning) | Explain characteristics of neural network (supervised learning) |
| Class 3 | Application of neural network to e-learning | Explain application examples of e-learning based on characteristics of neural network) |
| Class 4 | Reinforcement learning | Explain characteristics of reinforcement learning and educational system applying it |
| Class 5 | Collaborative learning | Explain characteristics of collaborative learning and educational system applying it |
| Class 6 | Learning environment design | Design learning environment according to learning targets |
| Class 7 | Remote education / Flipped classroom | Explain design guideline of remote education and flipped classroom and reflect them to instructional design |
| Class 8 | Practice of instructional design | Design instruction using educational systems |
Textbook(s)
In-class handouts
Reference books, course materials, etc.
In-class introduction
Assessment criteria and methods
in-class achievements : 10%
presentation qualities : 90%
Related courses
- LAT.A104 ： Development and Learning I
- LAT.A105 ： Development and Learning II
- LAT.A106 ： Development and Learning III
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Nothing in particular
