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研究部門
研究成果
Scopus著者プロファイル
ガイエド ジョン モリース
准教授（テニュアトラック）
Associate Professor(tenure-track) 准教授（テニュアトラック）
,
グローバル・エデュケーション・センター
ウェブサイト
https://w-rdb.waseda.jp/html/100003639_ja.html
h-index
422
被引用数
6
h 指数
Pureの文献数とScopusの被引用数に基づいて算出されます
2021
2025
年別の研究成果
概要
フィンガープリント
ネットワーク
研究成果
(9)
フィンガープリント
John Maurice Gayedが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
並べ替え順
重み付け
アルファベット順
Keyphrases
Writing Assistant
100%
Assistant Training
100%
Metacognitive Prompts
100%
Metacognitive Training
100%
Grammarly
100%
Learner Engagement
100%
Open Response
100%
Educational Assistants
100%
Health Climate
100%
Second Language Writing
100%
Zero-shot Prompting
100%
Educator Perspectives
100%
Writing Output
66%
Writing Assistance
66%
Old Technology
50%
Cognitive Barriers
50%
Working Memory Resources
50%
AI Tools
50%
Learning Instrument
50%
Automated Essay Scoring
50%
Spell Checking
50%
Question Prompts
33%
Research to Practice
33%
Explanatory Videos
33%
Intelligent Writing
33%
Educational Software Applications
33%
Stock Market Forecasting
33%
Urban Residence
33%
Rural Residence
33%
Writing Support
33%
Climate Differences
33%
Independent Writing Tasks
33%
Reverse Translation
33%
Percentage Agreement
33%
Agreement Statistics
33%
Public Writing
33%
Regulation of Cognition
25%
Domain-agnostic
25%
Knowledge of Cognition
25%
Teaching Presence
20%
Educator Attitudes
20%
Latent Dirichlet Allocation Analysis
20%
Artificial Intelligence Tools
20%
Educator Knowledge
20%
Technology Attitudes
20%
Artificial Intelligence Development
20%
Novice Writers
16%
Evaluation Software
16%
L2 Students
16%
Computer Science
Open Source
100%
Positive Effect
100%
Development Environment
100%
Educational Software
100%
Treatment Group
100%
Educational Game
100%
Writing Support
100%
Market Forecasting
100%
Consensus Building
100%
Online Communities
100%
Heuristic Evaluation
100%
Online Classroom
100%
Life Experience
100%
Software Application
100%
Learning Experiences
100%
Large Language Model
100%
Evaluation System
100%
System Effectiveness
50%
Generative Pre-Trained Transformer 4
50%
Lingua Franca
20%
Social Sciences
Health Risk
100%
Educational Environment
100%
Electronic Learning
100%
Systematic Review
100%
English
100%
Artificial Intelligence
100%
Legislation
66%
Metacognition
66%
Educational Software
50%
Rural Areas
50%
COVID 19 Epidemic
50%
Academic Teaching Personnel
33%
University Students
33%
Thematic Analysis
33%
Instructional Design
33%
English as a Foreign Language
28%
Writing Tool
25%
Working Memory
20%
Educational Technology
14%
Emotions
14%
Qualitative Interview
14%
Language Modeling
14%
Ethical Issue
14%
Educational Level
14%
