| Autor: |
Arun-Balajiee Lekshmi-Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda |
| Přispěvatelé: |
Mingyu Feng, Tanja Käser, Partha Talukdar |
| Rok vydání: |
2023 |
| DOI: |
10.5281/zenodo.8115759 |
| Popis: |
In this demo paper, we present an implementation of an intelligent digital textbook integrated with external readings for students, such as Wikipedia articles. Our system applies the ideas of concept extraction to collect topics from a digital textbook on topics in cognitive psychology and computer science for a graduate class in a large US-based university. We then use the topics as search terms to link with Wikipedia articles. Finally, we integrate these articles into a smooth interface available for students to read alongside the pages in the digital textbooks. The purpose is so that students can quickly refer to these articles in connection with the reading material of the course to understand a concept or topic that they struggle with or that they are interested to explore further. With this demo, we intend to present a system that can be utilized for data collection purposes in a real-world classroom setup. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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