Artificial Intelligence in Education, Bridging Community Gap: A Phenomenological Approach DOI Creative Commons
Oluwaseyi Aina Gbolade Opesemowo

International Journal of New Education, Год журнала: 2024, Номер 14

Опубликована: Дек. 9, 2024

Integrating Artificial Intelligence (AI) in education holds transformative potential for bridging community gaps, particularly under-resourced and marginalized communities. This study explores the multifaceted ways AI technologies can enhance educational accessibility, quality, equity, thereby fostering inclusive development. The disparity between resourced communities Nigeria is a pressing issue, primarily driven by unequal funding, insecurity, corruption, resource allocation, teacher shortages. gap affects academic performance limits future opportunities learners under-sourced delves into AI-driven initiatives to reduce digital divide, such as deploying AI-powered tools underserved with limited access quality education, which imminent. By leveraging AI, this research underscores democratize offering tailored learning experiences that adapt students' diverse needs across different geographical locations Nigeria. study's core objective bridge via using phenomenological approach. qualitative adopted population comprised all secondary school teachers Fifteen public from constituted sample drew purposively based on availability. data were thematically evaluated, three themes (i.e., assistance, infrastructural deficiency) emerged research. findings indicate provide assistance improve education. While may potentially experiences, stakeholders must quickly address concerns about deficiency, impediment of social interaction concluded incorporating AI-based technology will enable compete favourably, regardless where they reside.

Язык: Английский

A Critical Glance at Adaptive Learning Systems Using Artificial Intelligence: A Systematic Review and Qualitative Synthesis of Contemporary Research Literature DOI Open Access
Ruşen Meylani

Batı anadolu eğitim bilimleri dergisi, Год журнала: 2024, Номер unknown

Опубликована: Дек. 28, 2024

This study aims to critically examine the current research on AI-powered adaptive learning systems by synthesizing studies identify trends, gaps, and challenges. It also explores applications, benefits, challenges, future directions of these in education. The design employs a systematic review qualitative thematic synthesis following PRISMA guidelines. Data collection involves comprehensive literature search across databases such as ERIC, JSTOR, IEEE Xplore, Google Scholar, Web Science, Scopus. Inclusion criteria focus peer-reviewed articles high-quality grey from past ten years. analysis includes coding mapping integrate findings into narrative, ensuring rigor through triangulation, peer debriefing, reflexivity. reveal significant themes related role AI learning, including machine algorithms, natural language processing, AI-driven data analysis. Applications are demonstrated personalized pathways, assessments, intelligent tutoring systems, support for diverse needs. Case highlight effectiveness enhancing student engagement outcomes. provides overview potential transform identifies benefits improved outcomes, increased engagement, scalability, cost-effectiveness. addresses challenges like quality, ethical considerations, institutional resistance, providing balanced view landscape. have innovative personalizing improving educational experiences. While significant, addressing educator is crucial. Future should long-term impacts, implications, integrating emotional social create holistic environment.

Язык: Английский

Процитировано

0

Education in the ChatGPT Era: A Sentiment Analysis of Public Discourse on the Role of Language Models in Education DOI
Niel Francis B. Casillano

Journal Evaluation in Education (JEE), Год журнала: 2024, Номер 5(4), С. 144 - 154

Опубликована: Окт. 28, 2024

Purpose of the study: This research explored public discourse on role language models in education, particularly ChatGPT. Methodology: The study employed sentiment analysis, word cloud and thematic analysis YouTube video news transcripts. Main Findings: identified key themes perceptions surrounding AI's education. revealed frequent mentions AI, learning, highlighting transformative potential personalizing education improving administrative efficiency. also emphasizes significant concerns about academic integrity, with terms like cheating plagiarism reflecting ethical apprehensions. a compound 0.866, generally positive perception impact However, some negative sentiments were recorded, around data privacy biases. five topics: future AI human intelligence, learning enhancement, innovative teaching tools technologies, AI-assisted writing tools, ethics integrity usage. findings importance developing robust guidelines policies for integrating into educational settings need further long-term impacts methodologies. Novelty/Originality this used transcripts to explore ChatGPT's providing real-time insights societal perceptions. Combining sentiment, cloud, analyses offers balanced examination

Язык: Английский

Процитировано

0

Artificial Intelligence in Education, Bridging Community Gap: A Phenomenological Approach DOI Creative Commons
Oluwaseyi Aina Gbolade Opesemowo

International Journal of New Education, Год журнала: 2024, Номер 14

Опубликована: Дек. 9, 2024

Integrating Artificial Intelligence (AI) in education holds transformative potential for bridging community gaps, particularly under-resourced and marginalized communities. This study explores the multifaceted ways AI technologies can enhance educational accessibility, quality, equity, thereby fostering inclusive development. The disparity between resourced communities Nigeria is a pressing issue, primarily driven by unequal funding, insecurity, corruption, resource allocation, teacher shortages. gap affects academic performance limits future opportunities learners under-sourced delves into AI-driven initiatives to reduce digital divide, such as deploying AI-powered tools underserved with limited access quality education, which imminent. By leveraging AI, this research underscores democratize offering tailored learning experiences that adapt students' diverse needs across different geographical locations Nigeria. study's core objective bridge via using phenomenological approach. qualitative adopted population comprised all secondary school teachers Fifteen public from constituted sample drew purposively based on availability. data were thematically evaluated, three themes (i.e., assistance, infrastructural deficiency) emerged research. findings indicate provide assistance improve education. While may potentially experiences, stakeholders must quickly address concerns about deficiency, impediment of social interaction concluded incorporating AI-based technology will enable compete favourably, regardless where they reside.

Язык: Английский

Процитировано

0