Projects

AI-Enhanced Curriculum: Transforming Calculus and Statistics Education

This project aims to transform the teaching and learning of Calculus 1 at Pasadena City College by integrating AI tools like MathGPT.ai and ChatGPT to enhance student engagement, deepen conceptual understanding, and foster higher-order thinking. Over the next 12–18 months, we will develop AI-integrated curriculum modules that emphasize inquiry-based learning, problem-solving, and mathematical modeling with Python. Faculty collaboration will be central to this effort, facilitated through a Community of Practice where instructors will engage in discussions, provide input on AI’s

Developing and Testing the “Build Your Career Pathway” AI Chatbot at CSU Dominguez Hills and East Los Angeles College

We will develop a career pathways AI chatbot–called “Build Your Career Pathway”–which will be used in classroom assignments to assist students with professional and career development. Our team of CSU Dominguez Hills and East LA College faculty and students, IT experts, and workforce development experts will build the custom AI chatbot using ChatGPT using educational program data from CSUDH, regional community colleges, and workforce development partners, as well as regional industry sector data and reporting undertaken by the South Bay

Animate Math Concepts in Engineering Education using Large Language Models

Engineering education faces significant challenges in conveying complex mathematical and physical concepts while helping students develop intuitive understanding. Many students struggle to fully grasp abstract ideas when taught through traditional methods alone. The success of modern social media and educational tutorials has demonstrated the power of visualizations and video demonstrations to make difficult concepts more tangible. These tools provide clear, concrete representations of theoretical ideas, making it easier for students to engage with and understand the material. Generative AI introduces

SMC & GCC SOAR (Strategies for Optimal AI Resilience)

The Santa Monica College (SMC) and Glendale Community College (GCC) SOAR (Strategies for Optimal AI Resilience) is a collaborative initiative designed to equip faculty with the skills and resources to effectively integrate AI into their teaching practices. Our goal is to work together to foster an intercampus community, enhance teaching, learning, and the student experience via AI adoption on both campuses, while aligning with diversity, equity, and inclusion (DEI) principles through a focused, research-driven approach that will be scalable, adaptable

E-GAISE: Ethical Generative AI in Undergraduate Computer Science Education

Advancements in AI are accelerating rapidly, outpacing the necessary curriculum updates required to adequately prepare college students, the primary future workforce for an increasingly AI-driven world. Despite recognizing the ethical concerns surrounding AI, a recent survey reveals that 59% of college students regularly use GenAI tools in their studies. This underscores the urgent need for higher educational institutions to quickly and systematically revise their curricula, ensuring students acquire both the essential AI knowledge and the skills to responsibly utilize AI

AI Literacy for Quantitative Experimentation

California State University Maritime Academy (Cal Maritime) Mechanical Engineering and Library faculty will collaborate to create an AI literacy framework for courses in which students carry out quantitative experimentation. Instructional and assessment materials designed to teach students about the uses, ethical implications, and limitations of AI throughout the technical paper writing process will be created. An engineering course will serve as the pilot program. Students will practice and evaluate the use of AI throughout the experimentation process, including the literature

Empowering Future Educators with AI-Enhanced Pedagogy

This project aims to integrate artificial intelligence (AI) tools into the Elementary Teacher Education associate’s degree program at Coalinga College, with a focus on transforming curriculum development, pedagogical practices, and student learning outcomes. By embedding AI into core and elective courses for the two-year program, the project will prepare future educators to effectively utilize AI in their classrooms. The program will also equip them to navigate the ethical implications of AI, including considerations of student privacy, algorithmic bias, and accessibility.

Saddleback College AI for Language Acquisition

The project aims to harness the power of artificial intelligence to transform language instruction and support diverse learners. This initiative will focus on Adult English as a Second Language, English as a Second Language, Communications, English, Reading, Sign Language, and International Languages and will look into the intersectionality of AI and language acquisition as related to other subjects, such as STEM. By integrating AI into these areas, the project will enhance learning for students from diverse backgrounds. Primary objectives are

Customizable AI Integration in Higher Education: Marketing Example

AI has the potential to revolutionize higher education, but its effective adoption faces challenges due to a lack of clear integration guidance and diverse students, faculty, and institutional capacities. This project proposes a customizable, adaptable, and tiered framework for AI integration. This flexible approach is designed to accommodate students and faculty with varying levels of AI expertise and institutions with different resources, with the goal of addressing equity gaps. Our framework consists of five key components across two tiers, allowing

GenAI as Coding Tutor to Support First Year Engineering Students

The project integrates an AI coding tutor for an introductory MATLAB programming course at San Jose State University (SJSU), targeting aerospace engineering first year students and transfer students with no programming experience. First year programming classes in the college of engineering historically have known to have a high failure rate and equity gaps. Majority of students who find these concepts challenging are first year, first generation college going students who lack programming experience or exposure to programming courses during high

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