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인공지능 기반 적응형 학습 프로그램 영향평가: 대구 중학교 무작위통제실험 사례를 중심으로

Impact of Artificial Intelligence-based Adaptive Learning Program on Students’ Academic Performance: Evidence from a Randomized Controlled Trial in a Daegu Middle School

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키워드

주제분류경제학

초록

본 연구는 대구시에 위치한 중학교 1개교에 재학 중인 266명의 중학생을 대상으로 인공지능 기반 적응형 학습 프로그램을 제공하는 온라인학습기기가 학생들의 학업성취도에 미친 영향을 무작위통제실험 방식으로 분석하였다. 기초 및 기말 진단고사 성적 변화를 분석한 결과, 통계적으로 유의미한 온라인학습기기의 평균처치효과는 관찰되지 않았다. 하지만 분위회귀분석을 통해 하위 10% 학생들의 학업성과가 0.358 표준편차만큼 통계적으로 유의미하게 증가함을 확인하였다. 처치집단 학생들의 저조한 프로그램 출석률과 수행률을 고려할 때, 인공지능 기반 적응형 학습 프로그램의 수용성을 높이기 위한 다양한 방법을 탐색하는 연구가 선행될 필요가 있다.

Abstract

We investigate the impact of artificial intelligence-based adaptive learning program provided to 266 students in one middle school in Daegu city, South Korea. While examining the difference between the baseline and endline academic performance, we do not find the average treatment effect of the adaptive learning program. However, the quantile regression analysis by deciles shows that there is 0.358 standard deviation improvement for the first decile group. Given the very low attendance and task completion rates of the adaptive learning program, how to increase the adoption for this type of education technology is a prerequisite for the future research

참고문헌 (13)

  1. "Case Study: Arizona State University (ASU)" (2020)[URL]
  2. Banerjee, A. V., "Remedying education : Evidence from two randomized experiments in India", The Quarterly Journal of Economics, 122(3), pp.1235~1264 (2007)
  3. The learning generation : Investing in education for a changing world, "Education Commission", International Commission on Financing Global Education Opportunity, ~ (2016)
  4. Hasanov, A., "A survey of adaptive context-aware learning environments", Journal of Ambient Intelligence and Smart Environments, 11(5), pp.403~428 (2019)
  5. "Remedying education with personalized learning: Evidence from randomized field experiment in India" (2016)[URL]
  6. Lee, J. K., "Institutional and behaviour-change interventions to support COVID-19 public health measures: a review by the Lancet Commission Task Force on public health measures to suppress the pandemic", International Health, 13(5), pp.399~409 (2021)
  7. Muralidharan, K., "Disrupting education? Experimental evidence on technology-aided instruction in India", American Economic Review, 109(4), pp.1426~1460 (2019)
  8. Pliakos, K., "Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems", Computers & Education, 137, pp.91~103 (2019)
  9. Syed, T. A., "A personalized learning recommendation system architecture for learning management system", IC3K 2017 - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pp.275~282 (2017)
  10. World development report 2018: Learning to realize education's promise, "World Bank", The World Bank, ~ (2018)
  11. Sustainable Development Goals Report 2020, "United Nations", The United Nations, ~ (2020)
  12. Sustainable Development Goals Report 2021, "United Nations", The United Nations, ~ (2021)
  13. Xie, H., "Trends and development in technology-enhanced adaptive", personalized learning : A systematic review of journal publications from 2007 to 2017, 2019, pp.140, 103599~

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