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February 9, 2026International journal on teaching and learning in higher education0 citations

College Student Perceptions of AI Teaching Assistants: Bridging Technology and Human Connection for Effective Learning Support

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SSSarah Steimel

Key Points

  • This research aims to explore college students' views on AI teaching assistants and their role in learning processes.
  • Qualitative analysis of open-ended survey responses from 89 college students
  • Identification of key themes related to AI communication and support
  • Focus on perceptions of efficiency, bias, and trustworthiness
  • Students valued AITAs for their speed and availability
  • Concerns were raised regarding the accuracy and reliability of AITAs
  • A preference for human instructors for complex interactions was noted
  • Emphasis on the need for human-centered AI design was highlighted

Abstract

This study examines college students’ perceptions of AI Teaching Assistants (AITAs) in higher education, focusing on their communication experiences and expectations. Using qualitative data from (n=89) open-ended survey responses, six key themes emerged, spanning differences in information processing, social interaction, and task efficiency. Students appreciated AITAs for their speed, availability, and potential to provide unbiased feedback, yet expressed concerns about accuracy and trustworthiness. While AITAs were seen as approachable for simple or low-stakes inquiries, students emphasized the importance of human instructors for complex, nuanced, or emotional support. The findings highlight a preference for maintaining human connections in education while leveraging AI to enhance efficiency in administrative and repetitive tasks. The study underscores the need for human-centered design in AI tools to complement rather than replace human educators, ensuring technology integration aligns with ethical and pedagogical principles to support meaningful learning experiences.

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Cite This Study

Sarah Steimel (2026) studied this question.

synapsesocial.com/papers/698978dff0ec2af6756e7222https://doi.org/10.7771/1812-9129.1063
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