Published: Dec. 12, 2024
Language: Английский
Futurity Education, Journal Year: 2024, Volume and Issue: unknown
Published: April 30, 2024
Artificial intelligence has significant potentials in revolutionizing education by enhancing teaching methods, personalizing learning experiences, and improving educational outcomes. The aim of the research is to specify role AI creation future outline challenges artificial can bring within process. To answer questions case study on was conducted. methods included structured interviews among institutions administrators, faculty members, students, developers; survey students collect quantitative data their use attitudes towards technologies; classroom observations. Over 50 recent scientific works were selected evaluate conduct comparative analysis. conducted 56 participants, particularly 9 19 24 4 developers. results showed that integrated process are used design simulation-based activities, organize personalized learning, form specific skills automate administrative leads enhancement outcomes increased efficiency, greater accessibility education, during war when be disrupted. Using presents several need addressed for its effective implementation. Also, it found efficient using tools will lead positive based landscape at higher which characterized interactivity, inclusivity, innovation, accessibility. implied improve EdTech companies develop platforms.
Language: Английский
Citations
3
Futurity Education, Journal Year: 2024, Volume and Issue: unknown, P. 145 - 168
Published: June 23, 2024
The concept of university refers to a forward-thinking, innovative educational institution that implements the latest advancements in technology and pedagogy. purpose research is explain technologies innovations used at future-oriented outline their impact. objectives are following: describe future; what integrated into process; peculiarities using. Studying involved mixed methodology, particularly surveys questionnaires; in-depth interviews; observational studies; content analysis; ethnographic pedagogical method. Descriptive statistics, multivariate analysis, thematic analysis narrative were for data analysis. study was carried out among faculty members administrators February-April, 2024. findings showed participants process understand future as an focusing on formation professional competences students through use techniques. Also, it referred innovation center, development institution, digital or student-centered university. characterized by technology-enhanced learning, innovation, practical interdisciplinary approach, personalized pedagogy, life-long learning opportunities. applies number technological enhance efficiency process. They include artificial intelligence, virtual reality, Learning Management Systems, cloud computing. related blended flipped classroom, project-based game-based activities, collaborative learning. implementation requires using organizational measures.
Language: Английский
Citations
1
Advances in Mobile Learning Educational Research, Journal Year: 2024, Volume and Issue: 4(2), P. 1135 - 1148
Published: Sept. 12, 2024
This study investigates the awareness, perceptions, and challenges of integrating artificial intelligence (AI) into pedagogical practices among undergraduate students at universities in North Central, Nigeria. Drawing on Unified Theory Acceptance Use Technology (UTAUT) as a theoretical framework, data were collected through survey questionnaire administered to 421 from Faculty Education. The included items designed measure students' awareness AI technologies, their views potential benefits integration academic experiences, encountered with adoption practices. Descriptive statistics used analyse data, including means standard deviations. findings reveal moderate level regarding technologies education, strong belief role improving learning experiences. However, expressed concerns about technical difficulties, privacy issues, adequacy training support for technologies. underscores need increased technological infrastructure improvements, targeted services facilitate effective These contribute growing literature education provide valuable insights educators policymakers seeking enhance teaching outcomes AI-driven innovations.
Language: Английский
Citations
1
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
Published: Dec. 12, 2024
Language: Английский
Citations
0