Our session will explore the capabilities of the Moodle lesson tool and the power of ChatGPT to create adaptive and personalized learning modules. Discover how to craft personalized learning paths with customized feedback and remedial content while leveraging ChatGPT to generate dynamic ideas, content and custom learning paths for students.

Description & Goals: Context and Project Background As part of an internal university grant, Digital Education and Learning Technology Applications (DELTA) collaborated with the College of Engineering to develop adaptive and personalized learning modules using the Moodle platform and tools. NC State uses Moodle as its primary learning management system (LMS) that allows instructors to communicate with a class, deliver course content, facilitate collaboration and student engagement. Instructors also use Moodle to manage assignments, quizzes, interactive modules, grades and more. We also explored the power of AI tools like ChatGPT to generate ideas, content and customized learning paths for the students. The goal of our session is to share our process and solutions for how we utilized Moodle lesson tool and ChatGPT to create an adaptive and personalized learning experience online. We will describe how this was implemented, challenges, and demonastrate examples of our project. We will also share some data to present how well this redesign was received by the students. Session Learning Outcomes Demonstrate the capabilities of Moodle lesson tool in designing adaptive and personalized learning modules for challenging concepts and develop content and activities to individual learning needs and preferences. Discover methods for utilizing ChatGPT to generate adaptive and personalized learning paths, remedial content, activities based on student background Discuss potential challenges and considerations in implementing adaptive and personalized learning modules using Moodle and ChatGPT. Exchange ideas and experiences with attendees on how to effectively utilize technology to enhance student learning and engagement. Reflect on opportunities for further research and innovation in the field of adaptive and personalized learning using learning technologies and ChatGPT. Course Design and Learning Materials Creation Branching and Customized Learning Paths: Moodle Lesson Tool We explored Moodle lesson tools to find an in house cost effective solution for developing personalized learning paths and interactive adaptive learning modules. Moodle lesson tools can offer a great deal of flexibility to create branching scenarios and customized feedback for students that can adjust to individual student progress and preferences. Instructors can create the learning experience to meet diverse learning styles of students and pace in a lesson module utilizing branching scenarios, quizzes, and incorporating multimedia elements. The feedback mechanisms in the Moodle lesson tool allows learners to receive instant guidance and reinforcement based on their performance, enhancing learning outcomes and overall improving student success. In addition to its adaptability, Moodle lesson tool can be used to provide personalized learning experiences by offering customized content and assessments. Instructors can create personalized learning paths based on students interests, abilities, and prior knowledge, making sure they are able to master the concepts and subject matter well. We can incorporate remedial content and supplementary materials, enabling learners to address individual learning gaps and explore advanced topics at their own pace. We explored different other options, but using the Moodle lesson tool seems to be the most effective solution and has a less learning curve for instructors. The instructor can receive customized training on how to create adaptive learning modules using lesson and other available activities in Moodle. Adaptive Learning Modules in MAE 20: MAE 201: Engineering Thermodynamics I In the course design project for MAE 201: Engineering Thermodynamics I, we created adaptive and personalized learning modules for the concepts that students struggle to grasp and understand using the Moodle lesson tool. We used Moodle lesson tool to develop a series of interactive lessons that adapts to various learning styles and proficiency levels within the class. For example, we created two pilot lesson modules on the first and second law of thermodynamics after our course analysis and figuring out what concepts are the most pain points for the students. In this session we will demonstrate the Moodle lesson tool in the course design project for MAE 201, the process of creating flowcharts, concept and lesson maps, and finally developing effective paths for student learning and fostering an inclusive learning environment that empowers students to succeed in the course. For example, the lesson module can begin with an interactive introduction to the concept, offering multimedia resources such as videos and animations and real life case studies for the first law of Thermodynamics. Students can then progress through branching scenarios, where they apply the first law to various real-world situations, understand different systems and units, and receive immediate feedback on their understanding of these concepts. We applied a similar approrach for the second law of Thermodynamics. Through these interactive simulations and case studies, students can explore the implications of the second law in different contexts, reinforcing their comprehension, critical thinking and problem solving skills. We will also demonstrate how we can use lesson tools to create these adaptive and personalized learning modules in other different courses across different disciplines and departments. Role of ChatGPT for creating personalized learning path and content Artificial Intelligence (AI) is changing the educational landscape and reshaping our teaching and learning practices. Generative AI and AI tools can be a great tool for ideas, course and activity design. We will discuss how we utilize ChatGPT for adaptive learning modules in our course design project: MAE 201: Engineering Thermodynamics I. In this case we explored different lesson paths based on students with diverse backgrounds and prior knowledge. One of the major aspects was to write effective prompts for creating supplementary and remedial content and activities for students who needed additional help and feedback. We used ChatGPT for idea generation, offering students an accessible and personalized resource for addressing their pain points and misconceptions in real-time. ChatGPT can also serve as a virtual tutor, engaging students in conversational dialogue to clarify difficult concepts and provide additional explanations based on individual learning styles. ChatGPT can assist in creating adaptive and personalized learning modules by identifying complex and hard to grasp topics and by generating supplemental learning materials, such as explanatory texts, illustrations, graphics, diagrams, videos or interactive simulations, based on their specific areas of struggle. Presentation/Audience Activity and Engagement We will host interactive Q&A sessions and polls to engage audiences and get their point of view on designing an adaptive learning module or course and their choice of technology. We will reflect on what challenges they might face. We will also engage in a discussion about how ChatGPT can be a great tool for instructional designers. The audience will be asked to do some small group activities related to designing an adaptive and personalized module and writing effective prompts and using ChatGPT. We will share group discussion and ideas with all session attendees and have an interactive learning session. Resources and References Mikroyannidis, Alexander; Sharma, Nirwan; Ekuban, Audrey and Domingue, John (2024). Using Generative AI and ChatGPT for improving the production of distance learning materials. In: 24th IEEE International Conference on Advanced Learning Technologies (ICALT 2024), 01-04 July 2024, Near East University, Nicosia, North Cyprus, IEEE Computer Society, (In Press). He, Z., Nguyen, T., Miari, T., Aliasgari, M., Rafatirad, S., & Sayadi, H. The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering.