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Data · dataset · 2024

Dataset for 'Harnessing GenAI for Higher Education': A Mixed-Methods Study of Prof. Leodar, a Custom RAG Chatbot

Listed in Teesside University Research Data Repository

This dataset accompanies the manuscript "Harnessing GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbot's Impact on Learning".

Description

It contains the following components: Survey results and analytics: Raw data and analysis from the structured surveys administered to students who used Prof. Leodar, the custom-built Retrieval Augmented Generation (RAG) chatbot.

Usage analytics: Data on the daily and weekly usage patterns of Prof. Leodar throughout the course duration, including query volumes and timing. Code for Prof.

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Leodar: The implementation code for the RAG chatbot, including the architecture and integration with course materials. List of questions asked by learners: A complete list of queries given to Prof. Leodar during its deployment over a single semester.

This dataset provides comprehensive information for researchers interested in the development, implementation, and evaluation of AI-powered educational tools in higher education. It supports the replication of our study and enables further analysis of the impact of GenAI chatbots on student learning and engagement.

Note

All data has been anonymized to protect student privacy, in accordance with the ethical guidelines outlined in the manuscript.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Natural language processing 75%
Provenance · 1 source records, 12 field assertions
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