Exploring Student Engagement in Literature Through AI-Based Interactive Learning Platforms

In the digital age, the integration of artificial intelligence (AI) into education is transforming traditional classroom environments, offering innovative ways to enhance student engagement, particularly in the field of literature. This research explores the impact of AI-based interactive learning platforms on student engagement in literature classes. It investigates how these platforms can reshape the learning experience by fostering participation, critical thinking, and emotional connection to texts. The study employs qualitative and quantitative methods, including classroom observations, student feedback, and engagement metrics, to assess the effectiveness of AI tools in increasing interest and comprehension. With the emergence of AI-powered chatbots, adaptive learning environments, and sentiment analysis tools, literature teaching is no longer limited to passive reading but is evolving into a dynamic, interactive process. The findings indicate that students demonstrate higher motivation and improved analytical skills when AI-based platforms are incorporated into literary instruction. Furthermore, these tools offer personalized feedback, contextual understanding, and gamified learning experiences, which contribute significantly to engagement. This study provides practical insights for educators, curriculum developers, and policymakers, emphasizing the potential of AI technologies to revitalize literature education. It also addresses existing gaps in implementation, offering strategies for effective integration and sustained engagement. Key Words: Student engagement, AI in education, interactive learning platforms, literature teaching, digital pedagogy.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-28
DOI
https://doi.org/10.55041/ijsrem39947
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Student Engagement in Literature Through AI-Based Interactive Learning Platforms

Induri Parvathi, Gandi Sobhan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Online Learning and Analytics
article

Exploring Student Engagement in Literature Through AI-Based Interactive Learning Platforms

Induri Parvathi, Gandi Sobhan
article en

Abstract

In the digital age, the integration of artificial intelligence (AI) into education is transforming traditional classroom environments, offering innovative ways to enhance student engagement, particularly in the field of literature. This research explores the impact of AI-based interactive learning platforms on student engagement in literature classes. It investigates how these platforms can reshape the learning experience by fostering participation, critical thinking, and emotional connection to texts. The study employs qualitative and quantitative methods, including classroom observations, student feedback, and engagement metrics, to assess the effectiveness of AI tools in increasing interest and comprehension. With the emergence of AI-powered chatbots, adaptive learning environments, and sentiment analysis tools, literature teaching is no longer limited to passive reading but is evolving into a dynamic, interactive process. The findings indicate that students demonstrate higher motivation and improved analytical skills when AI-based platforms are incorporated into literary instruction. Furthermore, these tools offer personalized feedback, contextual understanding, and gamified learning experiences, which contribute significantly to engagement. This study provides practical insights for educators, curriculum developers, and policymakers, emphasizing the potential of AI technologies to revitalize literature education. It also addresses existing gaps in implementation, offering strategies for effective integration and sustained engagement. Key Words: Student engagement, AI in education, interactive learning platforms, literature teaching, digital pedagogy.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Openalex Percentile: Top 68%
Online Learning and Analytics
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