Off-campus UNL users: To download campus access dissertations, please use the following link to log into our proxy server with your NU ID and password. When you are done browsing please remember to return to this page and log out.
Non-UNL users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
A Guided Chatbot Learning Experience in the Science Classroom
Abstract
This dissertation describes a practitioner’s design-based development of a prototype chatbot to guide students in learning biological concepts of genetic mutations and protein synthesis. This chatbot’s architecture provides learning activities, feedback, and support throughout a series of short, connected lessons. The chatbot is designed to scaffold learners through a predict, observe, explain model of inquiry learning. It utilizes real-world phenomena to lead students through biology core ideas, science and engineering practices, and crosscutting concepts. Results of prototype testing include survey results in support of the proof of concept among both students and teachers, as well as accuracy measurements of chatbot intents. Descriptive statistics and suggestions were collected from both groups to evaluate the relevancy, consistency, practicality, and effectiveness of the project as well as speak to improvements for future projects. The designer finds that the construction of chatbots as guided learning experiences holds untapped potential in science educational technology.
Subject Area
Education|Educational technology
Recommended Citation
Barnett Davis, Jennifer, "A Guided Chatbot Learning Experience in the Science Classroom" (2022). ETD collection for University of Nebraska-Lincoln. AAI29998387.
https://digitalcommons.unl.edu/dissertations/AAI29998387