UROP Research Mentor Project Submission Portal: Submission #1254

Research Mentor Information
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Primary Research Mentor Name: Zhiying Li
Research Mentor Preferred Pronouns: she/hers
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Contact Email (FSU Email if affiliated): zl23@fsu.edu
Position Title: Graduate Student
Faculty Advisor Name: Phil Hiver
Faculty Advisor's FSU Email: phiver@fsu.edu
FSU College (if applicable): Education, Health, and Human Sciences
FSU Department or Non-FSU Organization Affiliation: School of Teacher Education, Second Language Education Program
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Additional Research Mentor(s)
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Overall Project Details
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Title of the Project: Tracking L2 Learners’ Engagement with AI-Generated Corrective Feedback and Learning Gains: A Multiple-Case Study
Project Keywords: AI-Generated Corrective Feedback; Engagement with Feedback; L2 Writing Instruction
Are you currently looking for research assistants?: Yes
Number of Research Assistants Needed : 1
Relevant Research Assistant Major(s):
Open to all majors

Project Location:: Virtual
If the project location is off campus, does the research assistant(s) need to provide their own transportation?: No, the project is remote
Please select the choice that most accurately describes your expectations for the research assistant(s):: Fully Remote
Approximately how many hours a week would the research assistant(s) need to work?: 5
Roughly what time frame do you expect research assistant(s) to work?: Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Overall Research Project Description:
The integration of generative AI (Gen-AI) tools into second language (L2) writing has transformed how L2 learners receive and process corrective feedback, but little is known so far about how learners’ engagement with AI-generated feedback shapes long-term knowledge development. This mixed-methods, multiple-case study will contribute to this gap. The data collection procedure will last for approximately five weeks: 5-10 university-level participants will complete weekly writing tasks online, submit drafts to a Gen-AI tool, learn from the generated feedback, and complete immediate and delayed repeated writing tasks. With the longitudinal data, this study intends to track (1) students’ cognitive and affective engagement with the Gen-AI feedback through surveys and interviews, (2) students’ learning gains gauged by their successful error correction in immediate post-writing (which is, immediate gains) and delayed post-writing (which is, sustained gains). Research findings will empower educators to leverage AI’s potential to facilitate L2 learners’ immediate and long-term learning growth.

Research Tasks:
1.	Contribute to draft IRB documents (protocol, consent forms, recruitment materials) under the mentor’s guidance.
2.	Schedule writing sessions for participants on synchronous video-communication platforms. 
3.	Collaborate with the mentor to collect data remotely, including monitoring and recording participants’ processes of pre-writing, feedback learning, and post-writing, distributing surveys, and conducting structured interviews using pre-approved protocols. 
4.	Collaborate with the mentor to analyze data. 
5.	Maintain organized datasets and keep them anonymized.

Skills that research assistant(s) may need::
Interest in the research of AI in education (Required). 
Organizational skills for managing multiple participants/timelines (Required).
Communicative skills for giving clear instructions to participants (Required). 

Background/coursework in Applied Linguistics, Education, Psychology, or TESOL (Recommended).

Mentoring Philosophy:
I believe mentoring thrives through intentional structure and shared curiosity. In my mentoring, I will provide clear expectations and resources while empowering mentees to take ownership of tasks like data coding or interview design. Before each new responsibility, I will offer targeted training to cultivate mentees’ confidence and skills. I prioritize whole-person development, encouraging mentees to reflect on how their work connects to broader questions in the field (AI-mediated learning) and our communities. Specifically for this project, mentees will gain hands-on experience with mixed-methods L2 research and skills transferable to future work in language learning/teaching or educational technology. Above all, I foster a collaborative space where mistakes are part of the process and where curiosity drives growth, both for the project and researchers.

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Are you interested in participating in the UROP Research Mentor Roundtable?: No
Roundtable times and Zoom links:
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UROP Program Elements
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Mentor Handbook, FAQs, and Communication: Yes
UROP Performance Evaluation: Yes
Materials Grant: Yes
UROP Poster Presentation: Yes
Faculty Advisor Confirmation: Yes

Are you interested in attending in a UROP Research Mentor Workshop Series?: No
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Year: 2025
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