Artificial Intelligence as a Co-Tutor: Assessing the Impact in the Advanced Learning Virtual Classroom

Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to target higher-order cognitive skills by modeling solution behavior through student–LLM interactions. A between-subjects quasi-experimental study was conducted with 22 students in 7th to 10th grades to compare differences in learning between those who completed a course with the LLM ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>12.9</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mi>S</mml:mi> <mml:msub> <mml:mi>D</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0.5</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mn>82</mml:mn> <mml:mtext>%</mml:mtext> </mml:math> female) and those who did not ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>14.0</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mi>S</mml:mi> <mml:msub> <mml:mi>D</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>1.0</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mn>55</mml:mn> <mml:mtext>%</mml:mtext> </mml:math> female). Results indicated no significant differences between the groups. Students interacted with the LLM in unexpected ways, demonstrating the need to supply resources and guidance. These results and the implications of LLM chatbots as an educational tool are discussed.

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Publication Details

Journal
Journal of Advanced Academics
Published
2025-08-11
DOI
https://doi.org/10.1177/1932202x251356323
Primary Topic
Reflective Practices in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence as a Co-Tutor: Assessing the Impact in the Advanced Learning Virtual Classroom

Daniel Khashabi, Kathryn Nicol Thompson, Candice Morgan, Benjamin Van Durme et al.
Journal of Advanced Academics
Reflective Practices in Education
article

Artificial Intelligence as a Co-Tutor: Assessing the Impact in the Advanced Learning Virtual Classroom

Daniel Khashabi, Kathryn Nicol Thompson, Candice Morgan, Benjamin Van Durme, Kimberley L. Chandler, Emily A. Delinski
article en

Abstract

Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to target higher-order cognitive skills by modeling solution behavior through student–LLM interactions. A between-subjects quasi-experimental study was conducted with 22 students in 7th to 10th grades to compare differences in learning between those who completed a course with the LLM ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>12.9</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mi>S</mml:mi> <mml:msub> <mml:mi>D</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>0.5</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mn>82</mml:mn> <mml:mtext>%</mml:mtext> </mml:math> female) and those who did not ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>M</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>14.0</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mi>S</mml:mi> <mml:msub> <mml:mi>D</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">age</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo>=</mml:mo> <mml:mn>1.0</mml:mn> <mml:mo>,</mml:mo> <mml:mspace width="0.25em"/> <mml:mspace width="0.25em"/> <mml:mn>55</mml:mn> <mml:mtext>%</mml:mtext> </mml:math> female). Results indicated no significant differences between the groups. Students interacted with the LLM in unexpected ways, demonstrating the need to supply resources and guidance. These results and the implications of LLM chatbots as an educational tool are discussed.

Journal of Advanced Academics
Johns Hopkins University (US)
Openalex Percentile: Top 78%
Reflective Practices in Education
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