Authentic Learning With an AI Partner

Presented by:

Juliann Young, Advanced Learning Partners

Generative AI is not the enemy of authentic learning. Purpose-built AI platforms positively influence student behavior, fostering active participation, collaboration, and improved learning habits.

Hear it from the author:

Authentic Learning With an AI PartnerJuliann Young, Advanced Learning Partners

00:00 / 00:30

Our research with StudyFetch, a purpose-built AI platform, analyzed one million student conversations and found that when given the right tool, students don't look for shortcuts. A well-designed AI platform can support authentic learning, helping students build comprehension, improve grades, and learn how to learn, rather than just cheat the system. The key is using a purpose-built AI platform as a thought partner, not an advanced search engine!

Key words:

Generative AI, Student Learning Outcomes, Authentic Learning

Abstract:

The impact of AI-powered platforms, specifically StudyFetch, on student behavior within academic settings is explored. By analyzing student conversations facilitated through StudyFetch, the research identifies key behavioral trends, including increased engagement, proactive collaboration, and positive study habits development. The findings highlight how Purpose-built AI tools shape student interactions, encourage knowledge sharing, and support effective learning strategies. Implications for educators and institutions emphasize the potential of such platforms to foster interactive and supportive learning environments. This study provides valuable insights for leveraging technology to positively influence student behavior and academic success.

Outcomes:

1. At the end of this session, participants will be able to analyze how purpose-built AI platforms influence student engagement and collaborative behaviors.

2. At the end of this session, participants will be able to differentiate between traditional and AI-facilitated student interactions in academic environments.

3. At the end of this session, participants will be able to apply insights from StudyFetch data to enhance student participation and learning outcomes in their own educational contexts.

References:

Carnegie Mellon University. (2024). Rapid development of cognitive models and tutors. Carnegie Mellon HCII. https://hcii.cmu.edu/research/rapid-development-cognitive-models-and-tutors

Gonsalves, C. (2024). Generative AI’s impact on critical thinking: Revisiting Bloom’s taxonomy. Journal of Marketing Education. https://doi.org/10.1177/02734753241305980

Strzelecki, A. (2024). Students' acceptance of ChatGPT in higher education: An extended unified theory of acceptance and use of technology. Innovative Higher Education, 49, 223–245. https://doi.org/10.1007/s10755-023-09686-1

StudyFetch. (2025). Student conversations: Research and insights. https://www.studyfetch.com/research/student-conversations