Socially Good AI Contributions for the Implementation of Sustainable Development in Mountain Communities Through an Inclusive Student-Engaged Learning Model

Abstract

AI is increasingly becoming based upon Internet-dependent systems to handle the massive amounts of data it requires to function effectively regardless of the availability of stable Internet connectivity in every affected community. As such, sustainable development (SD) for rural and mountain communities will require more than just equitable access to broadband Internet connection. It must also include a thorough means whereby to ensure that affected communities gain the education and tools necessary to engage inclusively with new technological advances, whether they be focused on machine learning algorithms or community infrastructure, as they will be increasingly dependent upon the automational capabilities of AI. In this essay, an exploration will be conducted into the means whereby student-engaged learning (SEL) can effectively be utilized to provide targeted, inclusive education to rural and mountain communities regarding the implications of AI for SD.

Pre-service English Teacher Perceptions of AI in Writing Skills

“…The second data finds that one of the drawbacks of using the internet is the need for stability of the internet; using AI is very practical, simple, and efficient, but it all requires a very stable internet connection. AI will quickly generate information, or whatever we are looking for, and needs will be hampered if the internet connection is very slow indeed; what we know is that using AI can be anywhere and anytime, but it all cannot be felt by students whose houses are still in the interior of the village and cannot be reached by the internet is not like in the city where wired Wi-Fi is installed in their home and their smartphone internet signal is fulfilled and the data shows that someone feels Things like that are connection problems when using AI for writing and this result in line with the study from (Jaynes et al, 2023) The third disadvantage of AI for writing data AI is very vulnerable to plagiarism. Almost all participants agree that writing using AI is close to plagiarism because AI provides information on materials and resources that are needed and can be found quickly as a.…”

Artificial Intelligence’s Opportunities and Challenges in Engineering Curricular Design: A Combined Review and Focus Group Study

“…AI often needs a lot of infrastructure, such as hardware, software, and a reliable internet connection, which may not be easy to find in every educational institution [38]. Also, these technologies can be very expensive, which makes it hard for everyone to get access to AI-enhanced education [38]. Furthermore, paid submissions for AI services should be considered as part of the infrastructure and resource requirements.…”