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A method toward dynamic e-learning services modeling and the cooperative learning mechanism

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Abstract

The advanced information technologies have made it possible for individuals to carry out cooperative learning efficiently and effectively from anywhere and at any time. To capitalize on the individual need and address the issues associated with the late entry into the e-learning area, it has great significance to study the service mechanism of CSCL on e-learning service and e-learning service computing modeling. This paper proposes an e-learning service model supporting for the life-cycle process management. The proposed model is developed by considering the learner’s behaviours during e-learning services, the scheduling policies, and the monitoring mechanism of learning activities. Business process modeling for e-learning services can be taken according to the study ordering of the knowledge points by using workflow modeling technology and process enactment mechanism. The overall life-cycle process management of knowledge is addressed by combining knowledge product modeling, knowledge resource modeling, and credit polices for member selection in research team by considering trust value of learners, advisers and providers in e-learning services. The proposed method can be used for supporting the sustainable development of e-learning services from planning and design, organizing e-learning process, maintenance of the e-learning process, to process improvement, as well as to support learners and advisers to effectively complete innovative team study and complex computation study. Lastly, an extended topic map tool has been developed by adding a knowledge requirement level and an information extraction tool to validate the proposed methodology. These tools can used to guide learners to concentrate on the required knowledge topics and drive knowledge providers to redevelop outdated knowledge hierarchy.

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References

  1. Addison YS, Su S (2010) A web 2.0-based collaborative annotation system for enhancing knowledge sharing in collaborative learning environments. Comput Educ 55:752–766

    Article  Google Scholar 

  2. Agrawal R, Srikant R (1994). Fast algorithm for mining association rules in large databases, VLDB, pp 487–499

  3. Alptekin SE, Karsak EE (2011) An integrated decision framework for evaluating and selecting e-learning products. Appl Soft Comput 11:2990–2998

    Article  Google Scholar 

  4. Alvarez M, Pan A, Raposo J et al (2008) Extracting list of data records from semi-structured web papges. Data Knowl Eng 64(2):491–509

    Article  Google Scholar 

  5. Chang CH, Kayed M (2006) A survey of web information extraction systems. IEEE Trans Knowl Data Eng 18(10):1411–1428

    Article  Google Scholar 

  6. Chen H, Yu C (2007) E-homebook system: a web-based interactive education interface. Comput Educ 49:160–175

    Article  Google Scholar 

  7. Cukusic M, Alfirevic N (2010) e-Learning process management and the e-learning performance: results of a European empirical study. Comput Educ 55:554–565

    Article  Google Scholar 

  8. Deming WE (1986) Out of the crisis. Massachusetts Institute of Technology, Center for Advanced Engineering Study, Cambridge

    Google Scholar 

  9. Dicheva D, Dichev C (2004). Education topic maps. In: 3rd international semantic web conference (ISWC’2004) poster abstracts, Hiroshima, pp 19–20

  10. Duan L, Xu L (2012) Business intelligence for enterprise systems: a survey. IEEE Trans Industr Inf 8(3):679–687

    Article  Google Scholar 

  11. Falakmasir MH, Habibi J (2010). Using educational data mining methods to study the impact of virtual classroom in e-learning. In: 3rd international conference on educational data mining, Pittsburgh, pp 241–248

  12. Gan Y, Tao Z (2006) e-Learning, knowledge management and virtual learning community. Audio Visual Educ Res 1:18–22

    Google Scholar 

  13. Garrido A, Fernández S (2012) On the automatic compilation of e-learning models to planning. Knowl Eng Rev 2012:1–16

    Google Scholar 

  14. He W, Xu L, Means T, Wang P (2009) Integrating web 2.0 with the case-based reasoning cycle: a systems approach. Syst Res Behav Sci 26(6):717–728

    Article  Google Scholar 

  15. He W, Yan G, Xu L (2014) Developing vehicular data cloud services in the IoT environment. IEEE Trans Industr Inf 10(2):1587–1595

    Article  Google Scholar 

  16. Hemant K, Bhargava (2014) Platform technologies and network goods: insights on product launch and management. Inf Technol Manag 15(3):199–209

    Article  Google Scholar 

  17. Hoyland C, Adams K, Tolk A, Xu L (2014) The RQ-Tech methodology: a new paradigm for conceptualizing strategic enterprise architectures. J Manag Anal 1(4):55–77

    Google Scholar 

  18. Hu S (2007) Automatic control principle. Chinese Science Press, Beijing

    Google Scholar 

  19. Huang C, Liu M (2007) An intelligent learning diagnosis system for Web-based thematic learning platform. Comput Educ 2007(48):658–679

    Article  Google Scholar 

  20. Hunting S, Park J (2002) XML topic maps: creating and using topic maps for the web. Addison-Wesley Professional, Boston

    Google Scholar 

  21. Hussein D, Alaa G (2011) Web 2.0 based service-oriented e-learning systems: recurrent design and architectural patterns. In: 2010 11th ACIS international conference on software engineering artificial intelligence networking and parallel/distributed computing (SNPD), pp 227–234

  22. Isabel NC, Laura VC (2013) E-learning and face to face mixed methodology: evaluating effectiveness of e-learning and perceived satisfaction for a microeconomic course using the Moodle platform. Comput Hum Behav 29:410–415

    Article  Google Scholar 

  23. Janssen J, Erkens G (2007) Visualization of participation: does it contribute to successful computer-supported collaborative learning? Comput Educ 2007(49):1037–1065

    Article  Google Scholar 

  24. Jiang L, Liu J, Zheng QH (2009) ETM toolkit: a development tool based on extended topic map. In: 13th international conference on computer supported cooperative work in design, Santiago

  25. Kao F, Hsieh H (2012) Analysis of brainwave characteristics for playing heterogeneous computer games. In: Transactions on edutainment VIII, lecture notes in computer science, vol 7220, pp 1–11

  26. Lam MI, Gong Z (2005) Web information extraction. IEEE International Conference on Information Acquisition, Hong Kong

    Google Scholar 

  27. Li S, Xu L, Wang X, Wang J (2012) Integration of hybrid wireless networks in cloud services oriented enterprise information systems. Enterp Inf Syst 6(2):165–187

    Article  Google Scholar 

  28. Li Y, Cao B, Xu L, Yin J (2014) An efficient recommendation method for improving business process modeling. IEEE Trans Industr Inf 10(1):502–513

    Article  Google Scholar 

  29. Li X, Wu X (2012) Modification of the traditional e-learning system based on the concept of e-learning2.0. Comput Sci 39(138–140):161

    Google Scholar 

  30. Lin L, Atkinson RK (2011) Using animations and visual cueing to support learning of scientific concepts and processes. Comput Educ 56:650–658

    Article  Google Scholar 

  31. Lin K (2011) e-Learning continuance intention: moderating effects of user e-learning experience. Comput Educ 56:515–526

    Article  Google Scholar 

  32. Ma N, Yu S (2010) The process assessment and capability maturity model for educational informationization of schools. J Distance Educ 1:13–17

    Google Scholar 

  33. Özyurt Ö, Özyurt H (2013) Integration into mathematics classrooms of an adaptive and intelligent individualized e-learning environment: implementation and evaluation of UZWEBMAT. Comput Hum Behav 29:726–738

    Article  Google Scholar 

  34. Durusau P, Newcomb S, Barta R (2007) The topic maps reference model. http://www.isotopicmaps.org/tmrm/

  35. Smith PA, McLaughlin M (2004) Knowledge management: people are important. J Knowl Manage Pract 5(1):2–7

    Google Scholar 

  36. Poelmans S, Reijers HA, Recker J (2013) Investigating the success of operational business process management systems. Inf Technol Manag 14(4):295–314

    Article  Google Scholar 

  37. Tan W, Yang F (2008) An e-learning system engineering ontology model on the semantic web for integration and communication. In: International conference on web-based learning, lecture notes in computer science, vol 5145. Springer, New York, pp 446–456

  38. Tan W, Shen W, Xu L et al (2008) A business process intelligence system for enterprise process performance management. IEEE Trans Syst Man Cybern Part C Appl Rev 38(6):745–756

    Article  Google Scholar 

  39. Tao F, Cheng Y, Xu L, Zhang L (2014) CCIoT-CMfg: cloud computing and internet of things based cloud manufacturing service system. IEEE Trans Industr Inf 10(2):1435–1442

    Article  Google Scholar 

  40. Tao F, Zuo Y, Xu L, Zhang L (2014) IoT based intelligent perception and access of manufacturing resource towards cloud manufacturing. IEEE Trans Industr Inf 10(2):1547–1557

    Article  Google Scholar 

  41. Wang C, Bi Z, Xu L (2014) IoT and cloud computing in automation of assembly modeling systems. IEEE Trans Industr Inf 10(2):1426–1434

    Article  Google Scholar 

  42. Wang S, Li L, Wang K (2012) e-Business systems integration: a systems perspective. Inf Technol Manage 13(4):233–249

    Article  Google Scholar 

  43. Xu L (2011) Enterprise systems: state-of-the-art and future trends. IEEE Trans Industr Inf 7(4):630–640

    Article  Google Scholar 

  44. Xu L (2013) Introduction: systems science in industrial sectors. Syst Res Behav Sci 30(3):211–213

    Article  Google Scholar 

  45. Xu L (2014) Enterprise integration and information architecture. CRC Press, New York

    Google Scholar 

  46. Xu L, Tan W et al (2008) An approach to enterprise process dynamic modeling supporting enterprise process evolution. Inf Syst Front 10:611–624

    Article  Google Scholar 

  47. Xu L, Liu H, Wang S, Wang K (2009) Modeling and analysis techniques for cross-organizational workflow systems. Syst Res Behav Sci 26(3):367–389

    Article  Google Scholar 

  48. Yang Z, Liu Q (2007) Research and development of web-based virtual online classroom. Comput Educ 48:171–184

    Article  Google Scholar 

  49. Zhang D, Nunamaker JF (2003) Powering e-learning in the new millennium: an overview of e-learning and enabling technology. Inf Syst Front 5(2):207–218

    Article  Google Scholar 

  50. Zhang L, Wang H, Cao X et al (2012) Knowledge management component in managing human resources for enterprises. Inf Technol Manage 13(4):341–349

    Article  Google Scholar 

  51. Zhang Y, Li Z, Xu L, Wang J (2011) A new method for automatic synthesis of tolerances for complex assemblies based on polychromatic sets. Enterp Inf Syst 5(3):337–358

    Article  Google Scholar 

  52. Zheng X, Martin P, Brohman M, Xu L (2014) CLOUDQUAL: a quality model for cloud services. IEEE Trans Industr Inf 10(2):1527–1536

    Article  Google Scholar 

  53. Zheng X, Martin P, Brohman K, Xu L (2014) Cloud service negotiation: a mixed approach. IEEE Trans Industr Inf 10(2):1506–1515

    Article  Google Scholar 

  54. Zhu X, Chen D, Chen Y, Chen H (2013) A resource integration approach for HTML5 mobile applications. Inf Technol Manage 14(3):169–181

    Article  Google Scholar 

Download references

Acknowledgments

The paper is supported in part by the National Natural Science Foundation of China under Grant No. 61272036, Changjiang Scholar Program of the Ministry of Education of China, and the US National Science Foundation under Grant No. 1044845, the Fundamental Research Funds for the Central Universities under Grant No. NZ2013306, and Key Disciplines of Software Engineering of Shanghai Second Polytechnic University under Grant No. XXKZD1301.

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Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Wenan Tan, Senbo Chen & Leer Li

  2. School of Computer and Information Engineering, Shanghai Second Polytechnic University, Shanghai, 201209, China

    Wenan Tan, Anqiong Tang & Tong Wang

  3. Department of Information Technology and Decision Science, Old Dominion University, Norfolk, VA, 23529, USA

    Ling Xia Li

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  1. Wenan Tan
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Correspondence to Wenan Tan.

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Tan, W., Chen, S., Li, L. et al. A method toward dynamic e-learning services modeling and the cooperative learning mechanism. Inf Technol Manag 18, 119–130 (2017). https://doi.org/10.1007/s10799-015-0235-3

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