AI-Powered MOOCs: Video Lecture Generation

Dao, Xuan-Quy; Le, Ngoc-Bich; Nguyen, Thi-My-Thanh

doi:10.1145/3459212.3459227

Cited by 18 publications

(14 citation statements)

References 17 publications

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“…In essence, the continuous evolution and diversification of GAN architectures underscore the dynamism of the AI community. By addressing challenges and iterating on designs, these innovations have propelled GANs from a nascent concept to a formidable force in AI-driven content generation [11].…”

Section: Typical Variantsmentioning

confidence: 99%

Applications and challenges of GAN in AI-powered artistry

Ran

2024

ACE

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In the evolving landscape of artificial intelligence (AI), Generative Adversarial Network (GAN), introduced in 2014 by Goodfellow and team, has emerged as a vital pillar in deep learning. Designed around the concept of adversarial learning, GAN consists of a generator and a discriminator working in tandem, with the former creating counterfeit data samples and the latter distinguishing between genuine and counterfeit ones. The paper delves deep into GANs underlying architecture, its modified variants like DCGAN, WGAN, WGAN-GP, and CGAN, and its expansive applications in the realm of AI-powered artistry. Notably, applications like Stable Diffusion and NovelAI have demonstrated GANs proficiency in crafting visually stunning and diverse artistic outputs. However, this evolution isnt without challenges. The ambiguities surrounding copyright ownership of AI-generated art and the potential disruption of the traditional art sector raise critical questions. As AI continues to redefine the boundaries of art, its imperative to ensure its responsible and beneficial integration into society.

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Section: Typical Variantsmentioning

confidence: 99%

Applications and challenges of GAN in AI-powered artistry

Ran

2024

ACE

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“…Furthermore, AI can function as an intelligent tutor, supporting students in their learning process. AI systems can answer questions, explain concepts, provide illustrative examples, and guide problem-solving [2]. This enables students to access knowledge quickly and effectively, while enhancing their confidence and motivation in learning.…”

Section: Introductionmentioning

confidence: 99%

ChatGPT in Education - A Global and Vietnamese Research Overview

Truong¹

2023

Preprint

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This article provides a comprehensive overview of the research landscape surrounding ChatGPT in the field of education, both globally and in Vietnam. Research conducted worldwide, as well as in Vietnam, has focused on exploring the capabilities of the ChatGPT model, its potential, and the challenges it presents in the realm of education. The article emphasizes the necessity of clear policies and regulations regarding the use of technology in education, highlighting the importance of understanding the limitations of ChatGPT and promoting critical thinking and independent analysis skills. By harnessing the potential of ChatGPT and other artificial intelligence tools, we can enhance the quality of teaching, improve the learning experience, and create an interactive and effective educational environment.

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“…In their work, Thanh et al [1] introduced an online learning platform featuring a Vietnamese Virtual Assistant, designed to aid educators in conducting lectures and evaluating students. In a separate study, Quy et al [2] presented an approach involving AIgenerated lecture materials. These materials take the form of slide presentations in PDF format, accompanied by synthesized speech and simulated facial expressions of the instructor, all derived from textual content.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Google Bard on Vietna mese High School Biology Examination

Hana,

Nguyen,

Nguyen

et al. 2023

Preprint

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This paper presents an evaluation of the performance of Google Bard on the biology test of the Vietnamese National High School Graduation Examination (VNHSGE). The study aims to assess the accuracy and effectiveness of Google Bard in solving biology problems commonly encountered in the Vietnamese curriculum. To facilitate the evaluation, the VNHSGE dataset was translated from Vietnamese to English, as Google Bard currently lacks support for the Vietnamese language. The findings reveal that Google Bard achieved a performance rate of 49.5%, trailing behind competing models such as ChatGPT and BingChat, which achieved relatively higher scores of 58% and 69%, respectively. Notably, the translation process from Vietnamese to English might have impacted Bard's performance. Therefore, it is not recommended for Vietnamese students to solely depend on Google Bard for solving biology problems, especially if the Vietnamese language is not supported. Students should consider using language models explicitly designed for biology, such as ChatGPT or BingChat.

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AI-Powered MOOCs: Video Lecture Generation

Cited by 18 publications

References 17 publications

Applications and challenges of GAN in AI-powered artistry

Applications and challenges of GAN in AI-powered artistry

ChatGPT in Education - A Global and Vietnamese Research Overview

Evaluation of Google Bard on Vietna mese High School Biology Examination

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