國立虎尾科技大學 |

Examining the Effectiveness of Personalized Learning Through Artificial Intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Examining the Effectiveness of Personalized Learning Through Artificial Intelligence // Hyejeong Lee.
作者:	Lee, Hyejeong,
面頁冊數:	1 electronic resource (161 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:	Dissertations Abstracts International86-02B.
標題:	Educational sociology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31334083
ISBN:	9798383573655

Examining the Effectiveness of Personalized Learning Through Artificial Intelligence /
Lee, Hyejeong,

Examining the Effectiveness of Personalized Learning Through Artificial Intelligence /Hyejeong Lee. - 1 electronic resource (161 pages)

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

This dissertation explores the strategies of personalized learning through AI and its effectiveness, with a focus on third-grade mathematics education. The primary objective is to investigate how AI tools can tailor learning experiences to individual needs, particularly for students who struggle academically, and thereby help reduce educational disparities. The study thoroughly examines the perceptions of both students and teachers towards AI-based learning platforms.The research is guided by two key questions: What strategies do a teacher use to provide personalized learning through AI? What are both students' and teacher's perceptions of AI in their educational environment?The findings highlight the potential of AI to enhance personalized learning and improve academic outcomes. This study also provides insights into the perceived benefits of AI systems by students and teachers, noting the value added through AI-recommended tasks and interactive features that foster motivation and engagement.Moreover, the research underscores the complementary roles of AI and teachers. While AI provides essential support in delivering personalized content, teachers remain crucial for refining curricula and meeting students' emotional and educational needs. The study also addresses the challenges faced by struggling students, emphasizing the need for diverse strategies and early intervention.Overall, this dissertation contributes significant insights into the integration of AI in education, offering practical recommendations for enhancing personalized learning and promoting educational equity. Future research should continue to explore the expansive potential of AI-enhanced education across different settings.

English

ISBN: 9798383573655Subjects--Topical Terms:

555555
Educational sociology.
Subjects--Index Terms:

AI-based learning platforms

Examining the Effectiveness of Personalized Learning Through Artificial Intelligence /
LDR:03275nam a22004573i 4500 001 1157831
005 20250603111423.5
006 m o d
007 cr|nu||||||||
008 250804s2024 miu||||||m |||||||eng d
020 $a 9798383573655
035 $a (MiAaPQD)AAI31334083
035 $a AAI31334083
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Lee, Hyejeong, $e author. $3 1484108
245 1 0 $a Examining the Effectiveness of Personalized Learning Through Artificial Intelligence / $c Hyejeong Lee.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (161 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
500 $a Advisors: Brush, Thomas Committee members: Bonk, Curtis ; Kwon, Kyungbin ; Hmelo-Silver, Cindy .
502 $b Ph.D. $c Indiana University $d 2024.
520 $a This dissertation explores the strategies of personalized learning through AI and its effectiveness, with a focus on third-grade mathematics education. The primary objective is to investigate how AI tools can tailor learning experiences to individual needs, particularly for students who struggle academically, and thereby help reduce educational disparities. The study thoroughly examines the perceptions of both students and teachers towards AI-based learning platforms.The research is guided by two key questions: What strategies do a teacher use to provide personalized learning through AI? What are both students' and teacher's perceptions of AI in their educational environment?The findings highlight the potential of AI to enhance personalized learning and improve academic outcomes. This study also provides insights into the perceived benefits of AI systems by students and teachers, noting the value added through AI-recommended tasks and interactive features that foster motivation and engagement.Moreover, the research underscores the complementary roles of AI and teachers. While AI provides essential support in delivering personalized content, teachers remain crucial for refining curricula and meeting students' emotional and educational needs. The study also addresses the challenges faced by struggling students, emphasizing the need for diverse strategies and early intervention.Overall, this dissertation contributes significant insights into the integration of AI in education, offering practical recommendations for enhancing personalized learning and promoting educational equity. Future research should continue to explore the expansive potential of AI-enhanced education across different settings.
546 $a English
590 $a School code: 0093
650 4 $a Educational sociology. $3 555555
650 4 $a Educational psychology. $3 555103
650 4 $a Curriculum development. $3 1148494
650 4 $a Educational technology. $3 556755
653 $a AI-based learning platforms
653 $a Educational environment
653 $a Personalized learning
653 $a Academic outcomes
653 $a Foster motivation
690 $a 0710
690 $a 0525
690 $a 0800
690 $a 0727
690 $a 0340
710 2 $a Indiana University. $b School of Education. $3 1180104
720 1 $a Brush, Thomas $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-02B.
790 $a 0093
791 $a Ph.D.
792 $a 2024
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31334083