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課程簡介 Course Introduction
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開課年度學期 Year / Term
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113 學年度 第 1 學期
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開課班級 Department
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數位學習科技學系數位學習科技碩士在職專班(夜) 數位碩專班及日碩博合(夜)
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授課方式 Instructional Method
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課堂教學 、 中文
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課程電腦代號 Course Reference Number
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255004
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課程名稱(中文) Course Title(Chinese)
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智慧型教學系統
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課程名稱(英文) Course Title(English)
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Intelligent Tutoring Systems
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學分數/時數 Credit Hours
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3 /
3
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必(選)修 Requirement / Elective Course
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選修
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授課老師 Instructor
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張智凱
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助教 Teaching Assistant
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上課時間 Meeting Time
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星期四，節次C、D、E
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上課教室 Classroom
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J306
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Office Hours
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張智凱：1122/CDCD
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| 獲獎及補助情形 Awards and Grants |
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| 聯合國永續發展目標 (SDGs跨域類別) Sustainable Development Goals, SDGs |
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課程目標 Learning Objectives
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An intelligent tutoring system (ITS) provides individualized computer-based instruction to students. These systems emerged from application of artificial intelligence techniques to the computer aided instruction (CAI) systems. The difference is that an ITS usually compares the student's work with expert solutions or strategies, models the student's probably knowledge of a domain, and provides coaching or advice, taking into account what the student's knowledge state, preferred learning style, etc.
In this course, students will test drive several successfully deployed ITSs, learn ideas from artificial intelligence and cognitive psychology that are needed to build these systems, review and discuss fundamental papers in the field, construct small prototypes using two state of the art authoring tools, and analyze, design and develop a prototype ITS for a practical tutoring problem.
From Professor Glenn D. Blank
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先修 ( 前置 ) 課程 Prerequisite
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None
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| 彈性教學規劃 Flexible Teaching/Planning Schedules |
| ＊本課程實施16+2週彈性教學方案，其中第17、18週之彈性規劃如下： |
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課程大綱 Course Syllabus
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| 週次 Week |
課程單元大綱 Unit |
教學方式 Instructional Method/Style/Teaching Style |
參考資料或相關作業 References or Related Materials |
評量方式 Grading |
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1
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Introduction to intelligent tutoring systems
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2
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Introduction to intelligent tutoring systems
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3
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Domain and expert knowledge
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4
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Domain and expert knowledge
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5
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Constraint-based modeling
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6
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More on student models
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7
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Tutoring knowledge
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8
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Metacognition, inquiry and collaboration
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9
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Literature reading and reporting
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10
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Literature reading and reporting
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11
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Literature reading and reporting
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12
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Literature reading and reporting
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13
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Literature reading and reporting
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14
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Literature reading and reporting
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15
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Literature reading and reporting
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16
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Literature reading and reporting
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17
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Literature reading and reporting
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18
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Course Reflection
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單一課程對應校能力指標程度 The Degree to Which Single Course Corresponds to School Competence
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| 編號 No. |
校核心能力 School Core Competencies |
符合程度 Degree of conformity |
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1
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公民力 (Citizen)
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1
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2
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自學力 (Self-learning)
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5
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3
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資訊力 (Information)
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3
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4
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創造力 (Creativity)
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3
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5
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溝通力 (Communication)
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5
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6
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就業力(Employability)
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1
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單一課程對應系能力指標程度 The Degree to Which Single Course Corresponds to Department Competence
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| 編號 No. |
類別 Category |
系核心能力 Department Core Competencies |
符合程度 Degree of conformity |
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01
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系所
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能均衡習得數位學習科技專業知能及基本研究能力
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3
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02
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系所
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能發展資訊科技並結合學習理論
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3
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03
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系所
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能具備數位內容產業所需能力並具有國際競爭力
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3
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04
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系所
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能發展數位內容產業相關技術
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3
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05
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系所
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能具備「主動求知」、「研究創新」、「團隊合作」、「組織倫理」之精神，能統整科技學術能力，能進行實證研究與發表
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3
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單一課程對應院能力指標程度 The Degree to Which Single Course Corresponds to College Competence
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| 編號 No. |
院核心能力 College Core Competencies |
符合程度 Degree of conformity |
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1
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語文能力
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3
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2
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溝通與合作能力
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3
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3
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創新與實踐能力
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3
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4
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專業知能
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3
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教科書或參考用書 Textbooks or Reference Books
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館藏書名 Library Books
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備註 Remarks
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Book
Artificial Intelligence in Education
2023, Volume 13916
ISBN : 978-3-031-36271-2
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※請尊重智慧財產權，不得非法影印教科書※
※ Please respect intellectual property rights and do not illegally photocopy textbooks. ※
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教學方法 Teaching Method
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教學方法 Teaching Method
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百分比 Percentage
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講述
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50 %
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討論
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50 %
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| 總和 Total |
100 % |
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成績評量方式 Grading
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| 評量方式 Grading |
百分比 Percentage |
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課堂參與
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50 %
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心得撰寫
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50 %
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| 總和 Total |
100 % |
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課程大綱補充資料 Supplementary Material of Course Syllabus
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