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基於興趣啟發理論的悅趣閱讀:人工智慧聊書機器人開發與成效評估(3/3)
Liu, Chen-Chung
(PI)
學習科技研究中心
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研究成果
(2)
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探索此專案觸及的研究主題。這些標籤是根據基礎獎勵/補助款而產生。共同形成了獨特的指紋。
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Keyphrases
Chatbot
100%
Reading Interest
42%
Dialogic Reading
36%
Learning Interest
36%
Reading Engagement
36%
Reading for Pleasure
36%
Learner Interaction
36%
Learning-by-teaching
18%
Tutee
12%
Young Readers
12%
Situational Interest
12%
AI Techniques
12%
English Books
10%
Book Talks
10%
Reading Context
10%
Extensive Reading
9%
Interest Development
9%
Reading Activities
9%
Educational Chatbot
8%
Interaction Patterns
8%
Question Answering
6%
Pedagogical Approaches
6%
Student-generated Questions
6%
Reading Program
6%
Learning Approaches
6%
Incubation
6%
Quasi-experimental Design
6%
Teaching Pedagogy
6%
Active Participants
6%
Teaching Approaches
6%
Question Type
6%
Training Activities
6%
Digitalize
6%
Promising Strategies
6%
Fifth Graders
6%
Development Theory
5%
Reading Attitude
5%
Positive Impact
5%
Language Teachers
5%
Emotional Processing Theory
5%
Emotional Scaffolding
5%
Native Language
5%
Language Acquisition
5%
Beginner Level
5%
Artificial Intelligence Techniques
5%
First Year
5%
Beginner
5%
Metacognitive Scaffolding
5%
Student Flow
5%
Foreign Language
5%
Social Sciences
Interaction Pattern
36%
Social Learning
36%
Artificial Intelligence
36%
Interest (Learning)
36%
Discourse Analysis
18%
Discourse
18%
Academic Teaching Personnel
18%
Primary Schools
18%
Reading Programmes
18%
Collaborative Learning
18%
Interactivity
18%
Computer Science
Chatbot
73%
Artificial Intelligence
19%
Language Development
7%
Interest Development
7%
Native Language
7%
Response Theory
7%
Influence Student
7%
Initial Interest
6%
Training Activity
6%
Design Experiment
6%