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AI-LEARN:聽Artificial Intelligence for Literacy, Ethics, Application, and Reasoning in Next-gen learners
Project Leads: Dr. Mohsen Beheshti, Dr. Amlan Chatterjee, Dr. Jianchao Han, Dr. Mike Karlin, Dr. Liudong Zuo, and Ms. Sharon Lanaghan
This project redesigns three foundational computer science courses鈥擟SC115, CSC121, and CSC301鈥攖o integrate AI tools, literacy, and ethics while addressing the emerging AI divide. In CSC115 (Introduction to Programming Concepts), students will use AI tools (e.g., ChatGPT, GitHub Copilot, Gemini) for problem-solving, critical thinking, and understanding programming constructs. In CSC121 (Introduction to Computer Science & Programming I), students will learn prompt engineering techniques and guided experimentation to solve programming problems and deepen algorithmic understanding. In CSC301 (Computers & Society), students will engage with case studies using the聽Research Libraries Guiding Principles for Artificial Intelligence, reflecting on issues such as bias, misinformation, and human accountability. This Tier 2 proposal promotes equitable AI literacy, enhances critical thinking, and introduces innovative instructional strategies that leverage AI tools, and will produce scalable, modular content for system-wide adoption across CSU.
K-5 PD in Mathematics Content Knowledge and Data Science
Project Leads: Dr. Mohsen Beheshti, Dr. Amlan Chatterjee, Dr. Jianchao Han, Dr. Mike Karlin, and Dr. Liudong Zuo
The proposed K-5 professional development (PD) program is designed to enhance elementary teachers' content knowledge in mathematics and introduce them to data science concepts using Python. The institute will focus on integrating data science and computational tools into the teaching of core mathematics topics such as number systems, operations with integers and fractions, rational numbers, and functions. Our team has experience of offering the Computer Science Supplemental Authorization (CSSA) program successfully over 4 years now and have gained significant insights and received feedback that will help us provide this program suited to elementary teachers鈥� expectations. The program will offer hands-on data manipulation & coding experiences, interactive visualizations, and real-world applications to make math learning engaging and meaningful. The summer institute will consist of 4 days for a total of 24 hours of instruction, and will be offered twice in consecutive summers, starting in the summer of 2026. The institute would only use open-source software and free textbooks. Our program鈥檚 objective is to design the curriculum and illustrate concepts in age-appropriate ways. We will use Python as a foundational tool for this process, allowing teachers to experience data-driven math learning first-hand. By learning to leverage simple Python-based activities, visualizations, and analyses, teachers will be better equipped to foster quantitative reasoning and data literacy in their students from an early age. Ultimately, the purpose of this program is to improve the teaching and learning of elementary mathematics by blending core math concepts with real-world data science applications, in alignment with state standards.
Explore more about the Data Science Workshop Website.
CAE-CD Designation
The聽CAE-CD designation聽is聽awarded to regionally accredited U.S. higher education institutions by the National Security Agency (NSA) and Department of Homeland Security (DHS) for offering high-quality cybersecurity programs.听This designation signifies an institution's commitment to developing skilled cybersecurity professionals and reducing threats to national infrastructure through advanced education and research in聽.听
Master of Science in Cyber Security program at CSUDH is being submitted for review and designation.