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Tayiba Raheem

Title: Teaching Fellow

Department: Information Science

College: College of Artificial Intelligence and Advanced Analytics

Curriculum Vitae

Curriculum Vitae Link

Current Scheduled Teaching

INFO 4646.401Information Resources in BusinessFall 2026 Syllabus

Previous Scheduled Teaching

No previous courses scheduled.

Published Intellectual Contributions

    Conference Proceeding

  • Raheem, T., Hossain, G. (2025). Agentic AI Systems: Opportunities, Challenges, and Trustworthiness. 2025 IEEE International Conference on Electro Information Technology (eIT). 618-624. IEEE. https://doi.org/10.1109/eit64391.2025.11103638
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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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