A Case Study of Teaching Single Variable Calculus Traditionally vs. Virtually: A Semester Bifurcated

Collins, Christopher A.; Galbreath, David R.

doi:10.1080/10511970.2021.1931997

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The backdrop against which Learnix was conceived is one where traditional eLearning platforms have plateaued [2], often circumscribed by content that ages rapidly and fails to engage learners in a meaningful way. Recognizing these constraints, Learnix was designed to transcend the static nature of conventional online courses [3], deploying a synergistic mix of established content and cutting-edge, GPT-generated material. This approach ensures that learners are not only privy to the latest developments in their field of study but are also part of a learning experience that is customized and stimulating.…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing eLearning Assessments: The Role of GPT in Crafting Dynamic Content and Feedback

Michael E. Bernal

2024

JAIT

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This study presents the Learnix project that utilizes the GPT-4 large language model (LLM) to enhance interactive learning in eLearning platforms, with a specific focus on generating dynamic multiple-choice questions (MCQs) and providing tailored feedback for Python coding problems and short-answer questions. The aim was to explore how language models can be integrated into eLearning environments to create more adaptive and engaging educational experiences. Leveraging GPT-4’s advanced natural language processing capabilities, the developed platform can generate a diverse range of MCQs and offer unique feedback, significantly improving upon traditional static learning content. This approach enhances the learner’s journey, offering a more engaging and individualized educational experience. The methodology involved the integration of GPT-4 into an eLearning platform, emphasizing user interaction and content relevance. The Learnix platform was designed to handle a variety of coding problems, with the LLM generating corresponding MCQs and feedback. This method’s effectiveness was evaluated based on content quality and relevance. Results demonstrated that GPT-4’s inclusion markedly enhanced the eLearning experience by providing diverse and up-to-date content. Customized feedback is particularly effective in reinforcing learning concepts and addressing individual learning needs. Moreover, the platform showed versatility in scaling and adapting to different educational contexts, making it a valuable tool for various learning requirements. The findings of this project emphasize the transformative potential of language models and Generative AI in redefining online education, leaning towards more adaptive and engaging learning experiences. Additionally, the Learnix project underscores the importance of continual innovation in educational technology, suggesting a new paradigm where AI becomes an integral part of the teaching and learning process. The integration of GPT-4 not only enriches the learning material but also enhances the overall effectiveness of the educational process, paving the way for future advancements in AI-driven eLearning solutions.

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Section: Introductionmentioning

confidence: 99%