Fwd: Advanced Learning Technologies for Computer Science Education Seminar, Spring 2025
Tiffany Barnes
From: Bita Akram <bak...@ncsu.edu>
Date: Thu, Dec 19, 2024 at 4:19 PM
Subject: Advanced Learning Technologies for Computer Science Education Seminar, Spring 2025
To: James Lester <les...@ncsu.edu>, Tiffany Barnes <tmba...@ncsu.edu>, Veronica Catete <vmca...@ncsu.edu>, Min Chi <mc...@ncsu.edu>, Collin Lynch <cfl...@ncsu.edu>, Noboru Matsuda <Noboru....@ncsu.edu>, Aditi Mallavarapu <ama...@ncsu.edu>, Thomas Price <twp...@ncsu.edu>, Sandeep Kuttal <sku...@ncsu.edu>
Dear Colleagues,
I am offering a seminar on Advanced Learning Technologies for Computer Science Education as a 791 special topics course in Spring 2025. Please share this opportunity with your students if they may find it beneficial for their research.
This course aims to build a strong foundation in the recent literature on advanced learning technologies, computer science education, and their intersection. Students will engage in a semester-long group project, which allows them to either develop new projects or continue working on existing relevant ones. Please find the formal course description below.
CSC 791- 005: Advanced Learning Technologies for Computer Science Education
Recommended co-requisite: CSC 520 or CSC 522
Description: Adaptive learning technologies have increasingly transformed educational domains such as math, physics, and computer science. However, providing adaptive educational support to computer science students presents unique challenges at various development stages, including knowledge representation, student modeling, and the delivery of adaptive support. In this seminar-based course, we will explore the foundations of advanced learning technologies, including intelligent tutoring systems and game-based learning environments. We will further cover fundamental concepts underlying these technologies, such as student modeling, adaptive scaffolding, and personalized recommendations in the context of computer science education. The course will involve reading and discussing relevant state-of-the-art approaches, as well as conducting a semester-long project focused on developing adaptive learning technologies for computer science education.
Assistant Professor