Not Plug-and-Play: Successful Adoption of an AI-Based Learning Experience Platform

Eggmann, Nadia

doi:10.1007/978-3-031-14489-9_13

Cited by 3 publications

(1 citation statement)

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“…Additionally, there are studies that provide framework structures for the integration of AI in LMSs (Pardamean et al, 2021). However, studies that present the integration process of AI technologies into LXP or LMSs with simple steps and application examples are quite limited (Eggmann, 2022). It is believed that this study will contribute to filling this gap in the literature.…”

Section: Research Purposementioning

confidence: 99%

Integrating AI Applications into Learning Management Systems to Enhance e-Learning

Fırat

2023

ITALL

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Artificial intelligence technologies have the potential to greatly enhance the organization of learning management systems and online learning experiences. In particular, the public release of OpenAI's GPT-3 model in December 2022 has given society a chance to learn more about the current status of artificial intelligence. There have been much research on the use of artificial intelligence in e-learning processes, but very few of them demonstrate how to integrate these applications step-by-step and with examples into learning management systems. This study intends to close this gap by demonstrating how artificial intelligence technologies are integrated into learning management systems using real-world examples. This study provides examples of practical applications as well as integration steps. Finally, GPT-3 plugins for Moodle are examined and sample JavaScript code is included for integrating Chat GPT into Moodle. By presenting a useful guide for integrating artificial intelligence technology into learning management systems, this work adds to the body of literature.

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Section: Research Purposementioning

confidence: 99%

Integrating AI Applications into Learning Management Systems to Enhance e-Learning

Fırat

2023

ITALL

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Using LXP for Green Deal: A New Approach

Ersöz,

Bülbül,

Sağıroğlu

2023

2023 12th International Conference on Renewable Energy Research and Applications (ICRERA)

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Integrating Artificial Intelligence in Healthcare Continuing Professional Development: A Theoretical Framework (Preprint)

Hlede,

Valanci,

D'Antuono

et al. 2024

Preprint

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UNSTRUCTURED Artificial intelligence (AI) enhanced continuing professional development (CPD) has great potential. It promises to transform the learning experience, improve learning outcomes, and ultimately help us improve patient care. Yet, AI is not a magical solution but a new element in the complex socio-technical systems that form our society. We need to understand the system to understand the power of AI. This position paper examines the need for a theoretical framework to help us better understand and guide interactions between AI and healthcare CPD. The 5 step theory construction methodology outlined by Borsboom et al. has been used to create the framework made of six foundational AI pillars: Literacy, Explainability, Ethics, Readiness, Reliability, and Learning Theories, and two complementary theoretical lenses: Complexity Theory and Actor-Network Theory.

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Not Plug-and-Play: Successful Adoption of an AI-Based Learning Experience Platform

Cited by 3 publications

References 10 publications

Integrating AI Applications into Learning Management Systems to Enhance e-Learning

Integrating AI Applications into Learning Management Systems to Enhance e-Learning

Using LXP for Green Deal: A New Approach

Integrating Artificial Intelligence in Healthcare Continuing Professional Development: A Theoretical Framework (Preprint)

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