Artificial Intelligence, what does research show us?

A rising amount of research has shown that artificial intelligence (AI) has had favorable effects on learning, engagement, and metacognition in recent years. Generative AI is a relatively young topic in learning contexts, and the potential of AI-generated media to help human learning is largely untapped. Global media attention has been drawn to recent developments in generative AI. Tasks that were previously deemed to be beyond the capabilities of AI may now be enhanced in a number of new ways thanks to technologies like Delle-2 and ChatGPT, created by OpenAI. Generative machine learning methods, such as Generative Adversarial Networks (GANs), have made it feasible to create realistic digital content at least since 2014. These models are becoming larger and more complex, producing outputs that are more sophisticated like animated faces, voice clones, and photorealistic visuals. Many sectors, including entertainment, customer service, and marketing, have embraced generative AI technology in recent years, such as Generative Pertained Transformers. By implementing the global sustainable development objectives widely and resolving issues with global education, such as the availability of high-quality information everywhere, we may advance the cause of the sustainable development of the world. Massive open online courses, online degrees, and online training courses are in high demand worldwide. They have the power to redefine our knowledge-based and creative workforce, enhance online education, and alter significant portions of our economies.

Access to well-designed, high-quality educational resources is particularly challenging for low- and middle-income countries. As a consequence, to stay up with trends and quicken technical breakthroughs, these online platforms want a sizeable quantity of instructional learning films that require regular upgrades. The purpose of instructional films is to improve the pedagogy or message of online learning materials. These instructional learning films have to be created with the consideration of human cognition, in accordance with the cognitive theory of multimedia learning. Given the difficulties in developing high-quality video content (such as an instructor’s lack of expertise on-screen), employing generative AI to produce synthetic learning films is an interesting strategy.

Lifelike avatars known as animated pedagogical agents (also known as virtual instructors) offer direction or teaching through online learning on a computer. The natural next step in this line of study would be to investigate if generative AI-generated virtual professors can successfully assist online learning.

Citation:

Leiker, Daniel & Gyllen, Ashley & Eldesouky, Ismail & Cukurova, Mutlu. (2023). Generative AI for learning: Investigating the potential of synthetic learning videos.

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