Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges
Juan Garzón, Eddy Patiño, Camilo Marulanda
Universidad Católica de Oriente
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Artificial intelligence (AI) is changing how we teach and learn, generating excitement and concern about its potential to transform education. To contribute to the debate, this systematic literature review examines current research trends (publication year, country of study, publication journal, education level, education field, and AI type), as well as the benefits and challenges of integrating AI into education. This review analyzed 155 peer-reviewed empirical studies published between 2015 and 2025. The review reveals a significant increase in research activity since 2022, reflecting the impact of generative AI tools, such as ChatGPT. Studies highlight a range of benefits, including enhanced learning outcomes, personalized instruction, and increased student motivation. However, there are challenges to overcome, such as students’ ethical use of AI, teachers’ resistance to using AI systems, and the digital dependency these systems can generate. These findings show AI’s potential to enhance education; however, its success depends on careful implementation and collaboration among educators, researchers, and policymakers to ensure meaningful and equitable outcomes.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIArtificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive Learning · Artificial Intelligence in Healthcare and Education
参考文献 63
此处列出前 3 条
引用本文 258
按被引量排序,此处列出前 3 条