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AI-assisted control systems learning project

AI-assisted control systems learning project
California State University, Channel Islands
Vedang Chauhan, an instructor at California State University Channel Islands (CSUCI), has developed an AI-assisted learning module for a Feedback Control Systems course. This project introduces a self-guided, AI-supported learning approach aimed at promoting active engagement and deeper understanding in technical subjects. The method centers on structured, prompt-based exploration using AI tools like ChatGPT, where students begin with guided prompts, receive explanations and step-by-step walkthroughs, and then customize the interaction based on their individual learning styles and pace. The AI functions as a supportive peer tutor, helping students clarify concepts, develop problem-solving strategies, enhance critical thinking, and build confidence. The approach concludes with a student-completed problem and a short assessment to evaluate understanding without AI assistance. As a demonstration of this model, the topic of design via state-space methods in control systems is used to illustrate how AI can improve comprehension of abstract and mathematical concepts while fostering ethical and independent learning.

Instruction & Assessment Librarian

Instruction & Assessment Librarian
California State University, Channel Islands
Breeann Austin, an Instruction Librarian, and Thomas Alexander, an Information Literacy Intern, from CSU Channel Islands created a Canvas module on how to use (and not use) AI during the research process. The module is shared as three Word documents: (1) What is AI, (2) ChatGPT and Research, (3) Library's AI Research Assistant (also called the Primo AI Research Assistant). The pages include text, videos, further readings, "let's experiment" activities, and Thinglink interactive images to engage students and provide multiple learning pathway options. Screenshots of the Thinglink images are provided with links to accessible versions of the interactive content.

Leveraging AI for Nonprofit Data Analysis and Reporting

Leveraging AI for Nonprofit Data Analysis and Reporting
California State University, Channel Islands
Joshua Gold, Assistant Professor from California State University, Channel Islands, developed a brief course to introduce students to the use of ChatGPT for data analysis and interpretation in a non-profit setting. The course guides students through practical modules on uploading data, conducting basic analyses, interpreting results, and creating visual outputs such as graphs and tables using AI tools. The class aims to help learners improve internal evaluations, stakeholder communication, and grant reporting through the use of accessible AI technology."

PlayPosit Assignment with Youtube

PlayPosit Assignment with Youtube
California State University, Channel Islands
Argero Zerr, an instructor from CSU Channel Islands, created a PlayPosit assignment. This PlayPosit assignment corresponds to a Youtube video for a TEDx talk titled “Why does it take so long to grow up today?” by Dr. Jeffrey Arnett. The assignment includes a series of multiple choice questions which test comprehension of the material throughout the video. The assignment also includes poll questions and discussion questions which encourage students to reflect on their own opinions and experiences with emerging adulthood.

Use of Generative AI to aid Students in Creating Advanced Biochemistry Laboratory Protocols

Use of Generative AI to aid Students in Creating Advanced Biochemistry Laboratory Protocols
California State University, Channel Islands
William Munroe, Lecturer from CSU Channel Islands, tested AI tools (poe.com and playlabs.ai) to assist students in creating laboratory protocols for the advanced biochemistry laboratory. Here, the AI chatbot helped students create a draft for their protocol assignment by summarizing peer-reviewed journal articles and product documentation. The format of the AI-assisted output included items students are requested include in their prelab assignment, such as a purpose, chemical mechanism for the experiment, a list of chemical reagents/safety section, and the experimental outline. Students were then asked to critique the AI-output for correctness and completion.