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Dec 09, 2024
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Using ChatGPT as a virtual mentor for K-12 students learning science improved student grades by 30% and provided both functional and emotional support when teachers were unavailable

Using ChatGPT as a virtual mentor for K-12 students learning science improved student grades by 30% and provided both functional and emotional support when teachers were unavailable.

Objective: To evaluate the real impact of using ChatGPT as a virtual mentor for K-12 students learning science, within a blended learning framework that combines in-person teaching with AI-assisted independent learning.

Methods:

  • Systematic assessment of ChatGPT's performance through a 52-question test covering K-12 chemistry and physics
  • Quasi-experimental study with control and experimental groups (23 students total)
  • Student grades analyzed before and after ChatGPT intervention
  • Student perceptions measured using 5-point Likert scale surveys
  • Evaluation conducted over multiple academic terms using both GPT-3.5 and GPT-4 models

Key Findings:

  • ChatGPT demonstrated high accuracy in K-12 science (9.3/10 with GPT-3.5, improved to 9.7/10 with GPT-4)
  • Experimental group showed 30% grade improvement compared to control group
  • Student perception of ChatGPT as a useful educational tool increased from 37% to 70% after extended use
  • AI provided both functional (academic) and emotional support for students lacking access to help at home
  • 90% of students in experimental group showed improved performance regardless of initial proficiency level

Implications:

  • ChatGPT can effectively supplement traditional teaching when teachers are unavailable
  • The tool helps democratize access to educational support
  • Can provide both academic and emotional support for students
  • Particularly beneficial for students without access to tutoring or homework help at home
  • Promotes student autonomy and self-efficacy

Limitations:

  • Small sample size (23 students from one school)
  • Non-randomized experimental design
  • Potential Hawthorne effect (subjects aware of being studied)
  • Some mathematical hallucinations in ChatGPT's responses
  • Limited ability to handle image inputs/outputs

Future Directions:

  • Conduct larger-scale randomized studies across multiple schools/regions
  • Evaluate impact across different subjects and educational levels
  • Assess long-term effects on student learning and development
  • Study impact on teachers and teaching methodologies
  • Investigate applications for students with learning difficulties

Title and Authors: "Use of ChatGPT as a Virtual Mentor on K-12 Students Learning Science in the Fourth Industrial Revolution" by Rafael Castañeda et al.

Published On: December 5, 2024

Published By: Knowledge (MDPI journal)

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