UROP Research Mentor Project Submission Portal: Submission #1254

serial: '1254'
sid: '20866'
uuid: 0b5ee086-c563-446c-892e-22cb0ec99638
uri: /urop-research-mentor-project-submission-portal
created: '1755544301'
completed: '1755545521'
changed: '1757452181'
in_draft: '0'
current_page: ''
remote_addr: 172.59.65.219
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  roundtable_info: {  }
  approximately_how_many_hours_a_week_would_the_research_assistant: '5'
  are_you_currently_looking_for_students_: 'Yes'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: zl23@fsu.edu
  faculty_advisor_confirmation: '1'
  faculty_advisor_name: 'Phil Hiver'
  faculty_advisor_s_fsu_email: phiver@fsu.edu
  fsu_college: 'Education, Health, and Human Sciences'
  fsu_department_if_applicable_: 'School of Teacher Education, Second Language Education Program'
  headshot_optional_: ''
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'No'
  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.'
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '1'
  other_faculty_collaborator_s_preferred_pronouns: ''
  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.'
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: ''
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Fully Remote'
  please_select_the_location_of_your_project_: Virtual
  position_availability_for_student_research: 'Flexible schedule'
  position_title: 'Graduate Student'
  primary_research_mentor_name: 'Zhiying Li'
  project_keywords: 'AI-Generated Corrective Feedback; Engagement with Feedback; L2 Writing Instruction'
  relevant_student_major_s_: 'Open to all majors'
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: she/hers
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |-
    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.
  roundtable_times_and_zoom_links: ''
  skills_that_research_assistants_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).
  title_of_the_project: 'Tracking L2 Learners’ Engagement with AI-Generated Corrective Feedback and Learning Gains: A Multiple-Case Study'
  update_url: 'http://cre.fsu.acsitefactory.com/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=6TGC9ZOktETp6TTfNzWrWchjwVizKH8Wwn_wyl5kNfE'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: ''
  would_you_like_to_participate_in_the_urop_research_mentor_round2: 'No'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: 'No'
  year: '2025'