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, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 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.

Language: Английский

Blockchain and Artificial Intelligence Non-Formal Education System (BANFES) DOI Creative Commons
Zahra Nazari, Abdul Razaq Vahidi, Petr Musı́lek

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 881 - 881

Published: Aug. 12, 2024

The resurgence of the Taliban in Afghanistan has significantly exacerbated educational challenges for marginalized women and girls, deepening gender disparities impeding socio-economic development. Addressing these issues, this article introduces Blockchain Artificial Intelligence Non-Formal Education System (BANFES), an innovative solution specifically designed Afghan girls deprived formal schooling. BANFES leverages advanced artificial intelligence technologies, including personalized data analysis, to provide customized learning experiences. Additionally, blockchain technology ensures secure record management integrity, facilitating a decentralized ecosystem where various nodes offer hybrid methodologies without intermediaries. This system not only adapts individual speeds styles enhance engagement outcomes but also employs independent assessment mechanism evaluate learners. Such evaluations promote transparency maintain quality reputation contributions within network. initiative addresses implementation challenges, local distrust integration with existing structures, providing robust model overcome barriers education. Furthermore, paper explores scalability BANFES, proposing its application as global strategy non-formal education systems facing similar geopolitical infrastructural challenges. By creating secure, flexible, learner-focused environment, aims empower essential skills personal professional growth, thus fostering socioeconomic advancement their communities setting new standard informal worldwide.

Language: Английский

Citations

2
AI in Educational Technology DOI Open Access
Ting Zhao

Published: Nov. 2, 2023

This article focuses on artificial intelligence in educational technology, starting with an introduction to interdisciplinary field of study that covers the design, development, utilization, and evaluation technology digital tools Settings. A detailed description its definition academic context - a multidisciplinary computer science cognitive deals development computational systems exhibit intelligent behaviour, describing areas coverage scope application. It then introduces benefits AI education specifically addressing personalized learning, adaptive learning systems, automated scoring feedback, virtual tutors chatbots, data analytics, as well content recommendations natural language processing, accessibility inclusion. Then it main concepts learning: uses power meet unique needs preferences individual learners, key principles characteristics. Adaptive harness analytics tailor experience each student's abilities, core strengths. also operating grading feedback: algorithms evaluate student assignments, tests exams without direct involvement human graders, associated benefits. Secondly, tutor are introduced: Virtual is computer-based system machine provide students interactive support characteristics advantages, nature chatbots help education. The final conclusion summarizes future challenges integrating into technology.

Language: Английский

Citations

6
AI in Educational Design and Technological Development DOI
Salaheldin Edam

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 25 - 60

Published: April 22, 2024

Artificial intelligence (AI) has both benefits and challenges in education. AI can customize learning experiences, enhance teaching methods, foster equal opportunities However, ethical implications potential biases linked to AI-generated data are concerns. AI-driven tools like adaptive systems intelligent tutoring have the revolutionize The chapter explores a range of systems, including natural language processing. thoroughly analyzed. Suggestions on how responsibly incorporate into field education offered. utilization been discovered experiences address disparity educational opportunities, ultimately resulting more inclusive equitable system. development curricula for various levels is also key area focus ensure that realized an responsible manner.

Language: Английский

Citations

1
Enhancing Education and Well-Being Through Artificial Intelligence: Opportunities and Challenges DOI

Faiza Qasmi,

Syeda Kauser Fatima

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 154 - 164

Published: Jan. 1, 2024

Language: Английский

Citations

0
Managing Ethical Challenges DOI
Amir Ahmad Dar, Subhash Yadav, Rajendra Kumar Tripathi

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 301 - 332

Published: Nov. 29, 2024

In an educational environment where technology is advancing at unstoppable pace, the incorporation of artificial intelligence (AI) into assessment techniques marks a turning point in development teaching and learning. AI-driven tools have potential to transform practices worldwide by improving objectivity, streamlining processes, personalizing learning experiences. The study provides basic investigation that explains theories underlying assessment. It clarifies revolutionary evaluation instruments transforming conventional approaches. This chapter highlights need maintain integrity equity using AI technologies, based on theoretical frameworks empirical research findings.

Language: Английский

Citations

0
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, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 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.

Language: Английский

Citations

0