Journal of Education and Social Studies · 2024 · 18 citations · 6 references
EducationHigher EducationSecondary EducationArtificial IntelligenceArtificial Intelligence In EducationData EthicsData ProtectionHigher Education EthicsPrivacy In EducationStudent PrivacyArtificial Intelligence EducationArtificial Intelligence PrivacyData Privacy RequirementsEducational Data PrivacyHigher Education PrivacyLearning Outcomes MeasurementPersonalized Learning InterfacesPersonalized Learning Technology
This study examines the implications of Artificial Intelligence (AI) in enhancing educational methodologies at the higher secondary level, focusing on its impact on student engagement and learning outcomes, the experiences and challenges faced by educators in integrating AI tools, and the broader ethical and privacy considerations. Utilizing a qualitative methodology based on interviews with educators and students, the research aims to explore the nuanced perspectives on the role of AI in education, identifying both the potential benefits and drawbacks. Initial findings highlight the positive effects of AI on personalized learning experiences alongside significant challenges related to resource limitations and the need for comprehensive support for educators. Moreover, concerns about ethical implications and data privacy emerge as critical issues requiring careful management. The study concludes that while AI offers transformative potential for educational practices, ensuring effective integration, addressing ethical concerns, and preparing students for future technological challenges is essential for leveraging AI's full benefits in the educational sector.
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Olaf Zawacki‐Richter, Victoria I. Marín, Melissa Bond et al. · International Journal of Educational Technology in Higher Education · 2019 · 5.3K citations · Full text