Computer Science ›› 2024, Vol. 51 ›› Issue (10): 50-55.doi: 10.11896/jsjkx.240300033

• Technology and Application of Intelligent Education • Previous Articles     Next Articles

Crowdsourced Learning Method and Its Applications in Course Teaching

MAO Xinjun, LU Yao   

  1. College of Computer Science and Technology,National University of Defense Technology,Changsha 410000,China
  • Received:2024-03-05 Revised:2024-07-08 Online:2024-10-15 Published:2024-10-11
  • About author:MAO Xinjun,born in 1970,Ph.D,professor,Ph.D supervisor,is deputy director of CCF(No.06609D).His main research interests include swarm intelligence in software engineering,intelligent software technologies,and multi-agent systems.
  • Supported by:
    National Natural Science Foundation of China(61532004).

Abstract: Current education and teaching are mostly closed in physical boundaries,highly depending on teachers and textbooks,and deficient in the reuse of learning knowledges.For these limitations,we propose the concept and method of crowdsourced learning(CL) by drawing on the ideas of crowd intelligence and open source software.The core idea of CL is to break the boundaries of traditional classes,grades,and schools,and allow learners to engage in autonomous and collaborative social learning around specific themes in the form of open communities,such as problem discussions,experience sharing,and resource co-production.Such methods can produce a large number of high-quality and personalized learning resources,help learners effectively conduct course learning and practice,while also help teachers improve the efficiency and quality of course teaching.This paper also introduces the platform called LearnerHub that supports the CL,analyzes the application patterns of CL based on the software engineering course practices.We also evaluate the effectiveness and influence of CL in term of data analyses and investigation survey.The results show that students highly recognize the important role of CL method in course studies and practices,and there is a positive relationship between students' comprehensive practice performance of CL and their course grades.

Key words: Crowdsourced learning, Course teaching, Crowdsourced learning supporting platform, Social learning

CLC Number: 

  • TP311.5
[1]ANSARI J A N,KHAN N A.Exploring the role of social media in collaborative learning the new domain of learning[J].Smart Learning Environments,2020,7(1):1-16.
[2]LIPPONEN L.Exploring foundations for computer-supportedcollaborative learning[C]//Computer support for collaborative learning.Routledge,2023:72-81.
[3]ALENEZI H S,FAISAL M H.Utilizing crowdsourcing and machine learning in education:Literature review[J].Education and Information Technologies,2020,25(4):2971-2986.
[4]WANG Z L,WU Y R,WANG Y.Educational Philosophy and Talent Cultivation Model in the Era of Digital Intelligence [J].E-Education Research,2024,45(2):13-19.
[5]XU X F.Innovation and Development Trends of Computer Education for Sustainable Competitiveness in the Digital Age [J].Computer Education,2024(6):2-7.
[6]WANG Z L,WU Y R,WANG Y.ChatGPT and EducationalTransformation:How Education Should Evolve in the Intelligent Era [J].Journal of Distance Education,2023,41(4):27-36.
[7]ADESHOLA I,ADEPOJU A P.The opportunities and challenges of ChatGPT in education[J].Interactive Learning Environments,2023:1-14.
[8]ZHANG J B.Computational Thinking Education:ConceptualEvolution and Challenges Ahead [J].Modern Distance Education Research,2019,31(6):89-101.
[9]WU L C,LI L.Construction of General Computer Courses under the Background of Emerging Engineering Education [J].China University Teaching,2017(12):62-69.
[10]XU X F.Seizing the Opportunity of MOOCs to Promote Tea-ching Reform in Computer Science and Software Engineering [J].China University Teaching,2014(1):29-33,47.
[11]LI W,WU W,WANG H,et al.Crowd intelligence in AI 2.0 era[J].Frontiers of Information Technology & Electronic Engineering,2017,18:15-43.
[12]Raymond,Wei Jianfan(translated).The Cathedral and the Bazaar:Musings on Linux and Open Source by an Accidental Revolutionary[M].China Machine Press,2014.
[13]LU Y,WANG Z L,MAO X J.Group-based Learning:A Lear-ning Model Based on New Constructivism[J].China Multimedia and Network Teaching Journal(Upper),2022(12):209-213.
[14]LU Y,MAO X J,YIN B H.Group-based Learning and Its Application in Computer Courses.Computer Education,2021(9):133-137.
[15]MAO X J.Upgrading Software Engineering Education:Insights from Open Source Software.Communications of the China Computer Federation,2021,17(10):66-71.
[16]MAO X.Software Engineering Course Practice:A Method Based on Crowds and Open Source Software [J].Communications of the CCF,2021,17(10):66-71.
[17]DOGAN M E,GORU DOGAN T,BOZKURT A.The use of artificial intelligence(AI) in online learning and distance education processes:A systematic review of empirical studies[J].Applied Sciences,2023,13(5):3056.
[18]XU Z W,LI X M.Undergraduate Curriculum System for Computer Science:New Era,New Plan [J].Computer Education,2024(6):12-18.
[19]LI F,YUAN Y X,GU X Q.Cultivating Students' InnovationAbility in Programming Education in the Intelligent Era:Connecting “Learning Programming” with “Using Programming for Innovation” through Programming Project Activities [J].Mo-dern Distance Education Research,2023,35(6):11-18.
[20]NEILL C J,DEFRANCO J F,SANGWAN R S.Improving collaborative learning in online software engineering education[J].European Journal of Engineering Education,2016,41(3):1-12.
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