8A002401 Technology-enhanced Research Writing

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School Writing Center (University Wide Courses for Graduate Students)

Lecture Code 8A002401 Subject Classification Specialized Education

Subject Name Technology-enhanced Research Writing

Subject Name
（Katakana）テクノロジー　エンハンスト　リサーチ　ライティング

Subject Name in
English Technology-enhanced Research Writing

Instructor WANG TINGJIA

Instructor
(Katakana) ワン　ティンジア

Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  1Term

Days, Periods, and Classrooms (1T) Tues5：Online, (1T) Tues6-8

Lesson Style Lecture Lesson Style
(More Details) Online (simultaneous interactive)

Lecture, Discussion, Exercise

Credits 2.0 Class Hours/Week 4 Language of Instruction E : English

Course Level 5 : Graduate Basic

Course Area（Area） 21 : Fundamental Competencies for Working Persons

Course Area（Discipline） 06 : Globalization/International cooperation studies

Eligible Students All postgraduate students of all fields

Keywords GenAI, ChatGPT, Grammarly, DeepL, Google Translate, research writing, AI ethics, English for Academic Purposes

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline This course aims to critically discuss the key topics, concerns, and challenges that students are facing with the involvement of emergent technologies such as ChatGPT, Grammarly, DeepL and Google Translate in their research writing. At the end of the course, students are expected to be more mindful and critical in their interaction with technologies for academic purposes, and enhance their AI ethics and academic etiquettes in the digital era. This course will give students opportunities to interact with AI for the revision of key sections in their research writing. This course is a timely response to the emerging involvement of AI in research writing and will guide students to reflect and self-assess their interactions with GenAI.

Class Schedule Introduction of the course
Lesson 1 will provide students the introduction of the course, including the outline, the assessment, and the anticipations.

Prior reflection
In Lesson 2, students need to provide their prior course reflection about their experiences with the technology used in their writing and discuss the technology that they want to bring into this course for practice.

Revising the Method with AI
Lesson 3 will focus on the revision of the Method with AI, comparing the human writing and the AI writing.

Revising the Method with AI
In Lesson 4, students will interact with AI to revise their own Method writing, and critically assess the AI-assisted writing.

Revising the Literature Review with AI
Lesson 5 will focus on the revision of the Literature Review with AI, comparing the human writing and the AI writing.

Revising the Literature Review with AI
In Lesson 6, students will interact with AI to revise their own Literature Review writing, and critically assess the AI-assisted writing.

Revising the Background with AI
Lesson 7 will focus on the revision of the Background with AI, comparing the human writing and the AI writing.

Revising the Background with AI
In Lesson 8, students will interact with AI to revise their own Background writing, and critically assess the AI-assisted writing.

Revising the Implications and Conclusion with AI
Lesson 9 will focus on the revision of the Implications and Conclusion with AI, comparing the human writing and the AI writing.

Revising the Implications and Conclusion with AI
In Lesson 10, students will interact with AI to revise their own Implications and Conclusion writing, and critically assess the AI-assisted writing.

Revising the Abstract and the Title with AI
Lesson 11 will focus on the revision of the Abstract and the Title with AI, comparing the human writing and the AI writing.

Revising the Abstract and the Title with AI
In Lesson 12, students will interact with AI to revise their own Abstract and Title, and critically assess the AI-assisted writing.

Post Reflection & Other technologies
In Lesson 13 and 14, students need to provide their post course reflection about their experiences with AI. Students can also share their reflections about their interaction with other technologies that are not involved in the course.

Post Reflection & Other technologies
In Lesson 13 and 14, students need to provide their post course reflection about their experiences with AI. Students can also share their reflections about their interaction with other technologies that are not involved in the course.

Wrap up
Lesson 15 will wrap up the course and take students further Q&As.

Text/Reference
Books,etc. No textbook will be used. Materials from the instructor will be provided through Teams.

PC or AV used in
Class,etc. Handouts, Microsoft Teams, Other (see [More Details])

(More Details) PC – projector for PowerPoint - handouts - Microsoft Teams

Learning techniques to be incorporated Discussions

Suggestions on
Preparation and
Review Students are required to bring in a research idea for the writing practice in class. Students are expected to submit the in-class practice outcome every week.

Requirements Students should have good English communication skills in both the spoken and the written modes. Students should have knowledge of research writing as well as basic academic etiquettes, such as checking the university email and Teams regularly, preparing lessons before entering a class, bringing required materials to attend a class, actively participating in class activities and so on.

Students need to share their screen and speak in class to report their practice outcomes to the whole class every week. So engagement is required.

Registration limit of this course is 30.

Grading Method Preparation, Attitude & Engagement: 10%, Prior Reflection: 25%, Post Reflection: 25%, Writing Outcome: 40%

Prior Reflection (25%):
A 1000–1500-word reflection about students’ prior-course, existing experience with technologies involved in their research writing. Students need to answer a list of questions to self-assess their interaction with these technologies in this Prior Reflection. The questions and the submission details will be given in class in Week 1 and 2.

Post Reflection (25%):
A 1000–1500-word reflection about students’ in-class experience with technologies involved in their research writing. Students need to answer a list of questions to evaluate the AI as well as their own interactions with the AI in this Post Reflection. The questions and the submission details will be given in class in Lesson 13 and14.

Both the Prior Reflection and the Post Reflection will cover key topics in technology-enhanced writing, for example, the AI ethics, the learning motivation, and the user-AI interactivity.

Writing Outcome (40%):
Students need to submit a comparison of their own human writing and the AI-assisted writing of their research. Students need to provide notes in this assignment to explain the reason for their approving or rebutting of the key advice given by the AI.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message This course will be delivered and facilitated in English.
Well-performed students can apply for the tutor position at the Writing Center.

Other Students are encouraged to speak in this course, asking questions, participating in group discussions and so on.

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2025Year	School/Graduate School	Writing Center (University Wide Courses for Graduate Students)
Lecture Code	8A002401	Subject Classification	Specialized Education
Subject Name	Technology-enhanced Research Writing
Subject Name （Katakana）	テクノロジー　エンハンスト　リサーチ　ライティング
Subject Name in English	Technology-enhanced Research Writing
Instructor	WANG TINGJIA
Instructor (Katakana)	ワン　ティンジア
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Tues5：Online, (1T) Tues6-8
Lesson Style	Lecture	Lesson Style (More Details)	Online (simultaneous interactive)
Lecture, Discussion, Exercise
Credits	2.0	Class Hours/Week	4	Language of Instruction	E : English
Course Level	5 : Graduate Basic
Course Area（Area）	21 : Fundamental Competencies for Working Persons
Course Area（Discipline）	06 : Globalization/International cooperation studies
Eligible Students	All postgraduate students of all fields
Keywords	GenAI, ChatGPT, Grammarly, DeepL, Google Translate, research writing, AI ethics, English for Academic Purposes
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	This course aims to critically discuss the key topics, concerns, and challenges that students are facing with the involvement of emergent technologies such as ChatGPT, Grammarly, DeepL and Google Translate in their research writing. At the end of the course, students are expected to be more mindful and critical in their interaction with technologies for academic purposes, and enhance their AI ethics and academic etiquettes in the digital era. This course will give students opportunities to interact with AI for the revision of key sections in their research writing. This course is a timely response to the emerging involvement of AI in research writing and will guide students to reflect and self-assess their interactions with GenAI.
Class Schedule	Introduction of the course Lesson 1 will provide students the introduction of the course, including the outline, the assessment, and the anticipations. Prior reflection In Lesson 2, students need to provide their prior course reflection about their experiences with the technology used in their writing and discuss the technology that they want to bring into this course for practice. Revising the Method with AI Lesson 3 will focus on the revision of the Method with AI, comparing the human writing and the AI writing. Revising the Method with AI In Lesson 4, students will interact with AI to revise their own Method writing, and critically assess the AI-assisted writing. Revising the Literature Review with AI Lesson 5 will focus on the revision of the Literature Review with AI, comparing the human writing and the AI writing. Revising the Literature Review with AI In Lesson 6, students will interact with AI to revise their own Literature Review writing, and critically assess the AI-assisted writing. Revising the Background with AI Lesson 7 will focus on the revision of the Background with AI, comparing the human writing and the AI writing. Revising the Background with AI In Lesson 8, students will interact with AI to revise their own Background writing, and critically assess the AI-assisted writing. Revising the Implications and Conclusion with AI Lesson 9 will focus on the revision of the Implications and Conclusion with AI, comparing the human writing and the AI writing. Revising the Implications and Conclusion with AI In Lesson 10, students will interact with AI to revise their own Implications and Conclusion writing, and critically assess the AI-assisted writing. Revising the Abstract and the Title with AI Lesson 11 will focus on the revision of the Abstract and the Title with AI, comparing the human writing and the AI writing. Revising the Abstract and the Title with AI In Lesson 12, students will interact with AI to revise their own Abstract and Title, and critically assess the AI-assisted writing. Post Reflection & Other technologies In Lesson 13 and 14, students need to provide their post course reflection about their experiences with AI. Students can also share their reflections about their interaction with other technologies that are not involved in the course. Post Reflection & Other technologies In Lesson 13 and 14, students need to provide their post course reflection about their experiences with AI. Students can also share their reflections about their interaction with other technologies that are not involved in the course. Wrap up Lesson 15 will wrap up the course and take students further Q&As.
Text/Reference Books,etc.	No textbook will be used. Materials from the instructor will be provided through Teams.
PC or AV used in Class,etc.	Handouts, Microsoft Teams, Other (see [More Details])
(More Details)	PC – projector for PowerPoint - handouts - Microsoft Teams
Learning techniques to be incorporated	Discussions
Suggestions on Preparation and Review	Students are required to bring in a research idea for the writing practice in class. Students are expected to submit the in-class practice outcome every week.
Requirements	Students should have good English communication skills in both the spoken and the written modes. Students should have knowledge of research writing as well as basic academic etiquettes, such as checking the university email and Teams regularly, preparing lessons before entering a class, bringing required materials to attend a class, actively participating in class activities and so on. Students need to share their screen and speak in class to report their practice outcomes to the whole class every week. So engagement is required. Registration limit of this course is 30.
Grading Method	Preparation, Attitude & Engagement: 10%, Prior Reflection: 25%, Post Reflection: 25%, Writing Outcome: 40% Prior Reflection (25%): A 1000–1500-word reflection about students’ prior-course, existing experience with technologies involved in their research writing. Students need to answer a list of questions to self-assess their interaction with these technologies in this Prior Reflection. The questions and the submission details will be given in class in Week 1 and 2. Post Reflection (25%): A 1000–1500-word reflection about students’ in-class experience with technologies involved in their research writing. Students need to answer a list of questions to evaluate the AI as well as their own interactions with the AI in this Post Reflection. The questions and the submission details will be given in class in Lesson 13 and14. Both the Prior Reflection and the Post Reflection will cover key topics in technology-enhanced writing, for example, the AI ethics, the learning motivation, and the user-AI interactivity. Writing Outcome (40%): Students need to submit a comparison of their own human writing and the AI-assisted writing of their research. Students need to provide notes in this assignment to explain the reason for their approving or rebutting of the key advice given by the AI.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	This course will be delivered and facilitated in English. Well-performed students can apply for the tutor position at the Writing Center.
Other	Students are encouraged to speak in this course, asking questions, participating in group discussions and so on.
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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