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Quality & Quantity

, Volume 49, Issue 6, pp 2435–2458 | Cite as

RETRACTED ARTICLE: An architecture of agent-based multi-layer interactive e-learning and e-testing platform

  • Muhammad ArifEmail author
  • Manzoor Illahi
  • Ahmad Karim
  • Shahaboddin Shamshirband
  • Khubaib Amjad Alam
  • Shahid Farid
  • Salman Iqbal
  • Zolkepli Buang
  • Valentina Emilia Balas
Article

Abstract

E-learning is the synthesis of multimedia and social media platforms powered by Internet and mobile technologies. Great popularity of e-learning is encouraging governments and educational institutions to adopt and develop e-learning cultures in societies in general and universities in particular. In traditional e-learning systems, all components (agents and services) are tightly coupled into a single system. In this study, we propose a new architecture for e-learning with two subsystems, namely, e-learning and e-testing. The motivation of the research is to improve the effectiveness of the learning process by extracting relevant features for elastic learning and testing process. We employ a multi-agent system because it contains five-layer architecture, including agents at various levels. We also propose a novel method for updating content through question and answer between e-learners and intelligent agents. To achieve optimization, we design a system that applies various technologies, which guarantee various dynamic features for e-learning systems, such as intelligence, distributed nature, adaptive attitude, interaction, accessibility, and security. Agent assisted e- learning enable the users to collect the quantifiable and sensible material; examine, and distribute customized knowledge from multiple e-learning sources. Intelligent agents, being program helper or assistants, are deployed at different levels of abstraction in this architecture to manage information overload and create environment for learners. Moreover, this proposed system is designed by keeping in view several characteristics specific to e-learning system such as interaction, personalization, adaptation, intelligence, interoperability, accessibility and security. The architecture is designed to support instructional design, to retrieve relevant learning materials, to process and analyses data to enable meaningful e-learning recommendations for instructors and learners by considering all issues that existing e-learning architectures don’t address. Most of the existing e-learning architectures don’t consider all the features in a single system so there is a need for a generic architecture that should support all the features to make the e-learning system more efficient. The outcome of this approach is to provide flexible and lightweight systems for e-learning environments.

Keywords

E-learning Multi agents Architecture Collaborative Personalized Intelligent Adaptive Distributed Resource agent 

References

  1. Ali, A., Dehghan, H., Gholampour, J.: An agent based multilayered architecture for e-learning system. In: IEEE Second International Conference on E-learning and E-teaching (ICELET), pp. 22–26Google Scholar
  2. Al-Sakran, H.: An agent-based architecture for developing e-learning system. Inf. Technol. J. 5(1), 121–127 (2006)CrossRefGoogle Scholar
  3. AlZahrani, S., Ayesh, A., Zedan, H.: Multi-agent system based regional data grid. In: IEEE International Conference on Computer Engineering and Systems, ICCES, pp. 337–342Google Scholar
  4. Andreev, R., Troyanova, N.: E-learning design: an integrated agent-grid service architecture. In: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, JVA’06, pp. 208–213Google Scholar
  5. Babu, S.R., Kulkarni, K.G., Sekaran, K.C.: A generic agent based cloud computing architecture for e-learning. In: ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India, Vol I, pp. 523–533. Springer, Newyork (2014)Google Scholar
  6. Baker, R., Siemens, G.: Educational data mining and learning analytics. Cambridge Handbook of the Learning Sciences, 2nd edn. Cambridge University Press, Cambridge (2014)Google Scholar
  7. Bhaskaran, S., Swaminathan, P.: Intelligent adaptive e-learning model for learning management system. Int. J. Technol. Policy Manag. 14, 99–109 (2014)CrossRefGoogle Scholar
  8. Bittencourt, I.I., Costa, E., Silva, M., Soares, E.: A computational model for developing semantic web-based educational systems. Knowl. Based Syst. 22(4), 302–315 (2009)CrossRefGoogle Scholar
  9. Bouslimi, I., Hanachi, C., Tout, H., Ghedira, K.: A coordination framework for cooperative information gathering. Int. J. Adv. Intel. Paradig. 1(1), 60–79 (2008)CrossRefGoogle Scholar
  10. Chellatamilan, T., Suresh, R.: Service oriented intelligent agents for e-learning aystems. Int. J. Comput. Sci. Commun. Technol. 2, 6360–6369 (2009)Google Scholar
  11. Chen, G.: The research on architecture of intelligent E-learning system. In: IEEE 4th International Conference on Computer Science and Education, pp. 1079–1081Google Scholar
  12. Chen, X.: Agent-based micro-simulation of staged evacuations. Int. J. Adv. Intel. Paradig. 4(1), 22–35 (2012)CrossRefGoogle Scholar
  13. Conrad, S., Clarke-Midura, J., Klopfer, E.: A framework for structuring learning assessment in a massively multiplayer online educational game: experiment centered design. Int. J. Game Based Learn. 4(1), 37–59 (2014)CrossRefGoogle Scholar
  14. Cristea, P.D., Tuduce, R.: Intelligent e-learning environments architecture and basic tools. In: Proceedings of the FIfth International Conference on Information Technology Based Higher Education and Training, ITHET, IEEE, pp. 610–615Google Scholar
  15. Dagger, D., O’Connor, A., Lawless, S., Walsh, E., Wade, V.P.: Service-oriented e-learning platforms: from monolithic systems to flexible services. Internet Comput. IEEE 11(3), 28–35 (2007)CrossRefGoogle Scholar
  16. De Arriaga, F., El Alami, M., Arriaga, A.: Multi-agent architecture for intelligent e-learning. In: Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, ICECS, pp. 1228–1231Google Scholar
  17. De Meo, P., Garro, A., Terracina, G., Ursino, D.: Personalizing learning programs with X-learn, an XML-based, “user-device” adaptive multi-agent system. Inf. Sci. 177(8), 1729–1770 (2007)CrossRefGoogle Scholar
  18. Dias, S.B., Diniz, J.A., Hadjileontiadis, L.J.: E-learning exequibility in the information and knowledge society. In: Towards an Intelligent Learning Management System Under Blended Learning, pp. 3–19. Springer, New York (2014)Google Scholar
  19. Fang, P., Yu, P.: Collaborative learning grouping problem in multi-agent e-learning based on rough set. In: 2008 International Conference on Computer Science and Software Engineering, pp. 174–177Google Scholar
  20. Gascueña, J.M., Fernandez-Caballero, A., Gonzalez, P.: Domain ontology for personalized e-learning in educational systems. In: ICALT, pp. 456–458Google Scholar
  21. Gong, T., Ding, Y., Xiong, Q.: Web-based e-learning and virtual lab of human–artificial immune system. Pak. J. Pharm. Sci. 27(3 Suppl), 729–734 (2014)Google Scholar
  22. Gonzalez, R.A.: Architecture of a discrete-event and agent-based crisis response simulation model. Int. J. Adv. Intel. Paradig. 4(1), 36–53 (2012)CrossRefGoogle Scholar
  23. Holanda, O., Ferreira, R., Costa, E., Bittencourt, I.I., Melo, J., Peixoto, M., Tiengo, W.: Educational resources recommendation system based on agents and semantic web for helping students in a virtual learning environment. Int. J. Web Based Communities 8(3), 333–353 (2012)CrossRefGoogle Scholar
  24. Hussain, N., Khan, M.: Service-oriented e-learning architecture using web service-based intelligent agents. In: IEE First International Conference on Information and Communication Technologies, pp. 137–143Google Scholar
  25. Jurado, F., Redondo, M.A., Ortega, M.: Blackboard architecture to integrate components and agents in heterogeneous distributed e-learning systems: An application for learning to program. J. Syst. Softw. 85(7), 1621–1636 (2012)CrossRefGoogle Scholar
  26. Kawamura, T., Sugahara, K., Kinoshita, S., Nakatani, R., Motomura, S.: Backup and recovery scheme for multi-agent-based e-learning system. In: IEEE International Conference on Integration of Knowledge Intensive Multi-agent Systems, KIMAS, pp. 73–78Google Scholar
  27. Kim, J., Hwang, D., Park, S.I., Lee, H., Hong, C., Kim, W.: Personalized interactive e-learning system using expanded SCORM. Appl. Math. 8(1L), 133–139 (2014)Google Scholar
  28. Li, X.: A study on e-learning systems integration based on multi-agent technology. In: IEEE 2nd International Conference on Education Technology and Computer (ICETC), pp. V1-294–V291-297Google Scholar
  29. Li, C.Z.Z.X.W., Zhen, S.: Design and implementation on e-learning environment based on agent. Int. J. Comput. Sci. Inf. Secur. 7, 23–29 (2010)Google Scholar
  30. Liu, Z., Jin, H., Fang, Z.: Collaborative learning in e-learning based on multi-agent systems. In: IEEE 10th International Conference on Computer Supported Cooperative Work in Design, CSCWD’06, pp. 1–5Google Scholar
  31. Lu, H.K.: Learning styles and acceptance of e-learning management systems: an extension of behaviour intention model. Int. J. Mob. Learn. Organ. 6(3), 246–259 (2012)CrossRefGoogle Scholar
  32. Mahdi, H., Attia, S.S.: MASCE: a multi-agent system for collaborative e-learning. In: IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, pp. 925–926Google Scholar
  33. Marciniak, J.: Building intelligent tutoring systems immersed in repositories of e-learning content. Proc. Comput. Sci. 35, 541–550 (2014)CrossRefGoogle Scholar
  34. McGill, T., Klobas, J., Renzi, S.: continuation of e-learning initiatives. Internet Higher Educ. 22, 24–36 (2014)CrossRefGoogle Scholar
  35. Mustakerov, I., Borissova, D.: A conceptual approach for development of educational web-based e-testing system. Expert Syst. Appl. 38(11), 14060–14064 (2011)Google Scholar
  36. Neji, M., Ben Ammar, M.: Agent-based collaborative affective e-learning framework. Electron. J. e-Learn. 5(2), 123–134 (2007)Google Scholar
  37. Neves, ARdM, Carvalho, Á.M.G., Ralha, C.G.: Agent-based architecture for context-aware and personalized event recommendation. Expert Syst. Appl. 41(2), 563–573 (2014)CrossRefGoogle Scholar
  38. Orzechowski, T.: The use of multi-agents’ systems in e-learning platforms. In: IEEE Siberian Conference on Control and Communications, SIBCON’07, pp. 64–71Google Scholar
  39. Peng, Y.: Intelligent content push for SCORM-based e-learning systems. In: IEEE International Symposium on Intelligent Information Technology Application Workshops, IITAW’08, pp. 239–242Google Scholar
  40. Ponnusamy, R., Gopal, T.: A user-adaptive self-proclamative multi-agent based recommendation system design for e-learning digital libraries. In: 2006 IEEE Conference on Cybernetics and Intelligent Systems, pp. 1–7Google Scholar
  41. Richardson, A.M.: Success factors in introducing distance, flexible and e-learning in technical and vocational skills development. Technology 2013(2012), 2011 (2014)Google Scholar
  42. Rius, À., Conesa, J., García-Barriocanal, E., Sicilia, M.-A.: Automating educational processes implementation by means of an ontological framework. Comput. Stand. Interfaces 36(2), 335–348 (2014)CrossRefGoogle Scholar
  43. Sakthiyavathi, K., Palanivel, K.: A generic architecture for agent based e-learning system. In: IEE International Conference on Intelligent Agent and Multi-agent Systems, IAMA, pp. 1–5Google Scholar
  44. Salmeron-Majadas, S., Santos, O.C., Boticario, J.G.: Inclusive personalized e-learning based on affective adaptive support. In: User Modeling, Adaptation, and Personalization, pp 384–387. Springer, New York (2013)CrossRefGoogle Scholar
  45. Sanchez, R.P., Bartel, C.M., Brown, E., DeRosier, M.: The acceptability and efficacy of an intelligent social tutoring system. Comput. Educ. 78, 321–332 (2014)CrossRefGoogle Scholar
  46. Secundo, G., Grippa, F.: Designing, managing and assessing a Web 2.0 learning community to enhance inquiry based learning. Int. J. Web Based Communities 6(2), 164–182 (2010)CrossRefGoogle Scholar
  47. Seng, J.-L., Lin, S.: A mobility and knowledge-centric e-learning application design method. Int. J. Innov. Learn. 1(3), 293–311 (2004)CrossRefGoogle Scholar
  48. Sharma, R., Banati, H., Bedi, P.: Social support based multi-agent framework for designing an e-learning course. In: 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), pp. 160–164Google Scholar
  49. Shen, Z., Gay, R., Miao, C.Y., Wang, Q.: Goal oriented modeling for agent mediated e-learning grid. In: IEEE 8th Control, Automation, Robotics and Vision Conference, ICARCV 2004, pp. 2280–2285Google Scholar
  50. Stoyanov, S., Ganchev, I., Popchev, I., O’Droma, M.: An approach for the development of a context-aware and adaptive e-learning middleware. In: Intelligent Systems: From Theory to Practice. Springer, New York, pp 519–535 (2010)CrossRefGoogle Scholar
  51. Thukral, A., Datta, S.M., Banati, H., Bedi, P.: Informal e-learning using multi agent systems. In: ISDA, pp. 213–217Google Scholar
  52. Uday Kumar, M., Mamatha, J., Jain, S., Jain, D.: Intelligent online assessment methodology. In: IEEE 7th International Conference on Next Generation Web Services Practices (NWeSP), pp. 215–220Google Scholar
  53. Van Rosmalen, P., Brouns, F., Tattersall, C., Vogten, H., Bruggen, J., Sloep, P., Koper, R.: Towards an open framework for adaptive, agent-supported e-learning. Int. J. Contin. Eng. Educ. Life Long Learn. 15(3), 261–275 (2005)CrossRefGoogle Scholar
  54. Wei, X., Yan, J.: An e-learning system architecture based on web services and intelligent agents. In: IEE Ninth International Conference on Hybrid Intelligent Systems, HIS’09, pp. 173–177Google Scholar
  55. Xu, D., Huang, W.W., Wang, H., Heales, J.: Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: an empirical investigation. Inf. Manag. 51(4), 430–440 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Muhammad Arif
    • 1
    • 2
    Email author
  • Manzoor Illahi
    • 2
  • Ahmad Karim
    • 1
  • Shahaboddin Shamshirband
    • 3
    • 4
  • Khubaib Amjad Alam
    • 1
  • Shahid Farid
    • 1
  • Salman Iqbal
    • 1
  • Zolkepli Buang
    • 5
  • Valentina Emilia Balas
    • 6
  1. 1.Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  2. 2.Departmnet of Computer ScienceCOMSATS Institute of Information Technology IslamabadIslamabadPakistan
  3. 3.Faculty of Computer Science and Information Technology, Department of Computer System and TechnologyUniversity of MalayaKuala LumpurMalaysia
  4. 4.Department of Computer ScienceChalous Branch, Islamic Azad University (IAU), ChalousMazandaranIran
  5. 5.Universiti Teknikal Malaysia MelakaDurian TunggalMalaysia
  6. 6.Department of Automation and Applied InformaticsUniversity of AradAradRomania

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