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Jingwen He

Title: Assistant Professor

Department: Learning Technologies

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Michigan State University, 2025
    Major: Educational Psychology and Educational Technology
    Dissertation: Designing AI-Facilitated Feedback Using Feedback Triangle Theory: Examining Instructor Implementation

Current Scheduled Teaching

LTEC 5300.002Learning and CognitionSpring 8W2 2026
LTEC 5300.001Learning and CognitionFall 8W2 2025
Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching

No previous courses scheduled.

Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Intellectual Contributions

    Book Chapter

  • He, J., Li, T., Xu, Z., Xie, K. (2025). Leveraging Generative AI in Designing and Delivering Individualized Responsive Feedback for Pre-service Teachers in Higher Education. Artificial Intelligence and Human Agency in Education: Volume Two: AI for Equity, Well-Being, and Innovation in Teaching and Learning. 2 267-293. Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-96-9251-4_11

    • Manuscript

  • Xie, K., Jiang, Z., Men, Q., Pan, Z., He, J. (2025). Profiles of students’ behavioral engagement and their associations to academic motivation in online learning. Journal of Computing in Higher Education. 1-40. Springer US. https://link.springer.com/article/10.1007/s12528-025-09465-1
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Overall
Summative Rating		 Challenge and
Engagement Index		 Response Rate

out of 5
out of 7		 %
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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