E-Learning: Let’s Look Around

Authors: V. Simić, O. Vojinović, I. Milentijević

Keywords: e-learning, e-learning systems, e-learning systems evaluation, e-learning tools, Content management systems

Abstract:

The evolution of e-learning systems put them in almost all areas of human life. Elearning can be considered in context of continuous societal and technological development. Current trends lead to creation of virtual society, alongside the physical world. As new information communication technologies are developed, it is possible to extend the domain and usability of existing e-learning methodologies. E-learning technologies are used and developed by educational institutes, governmental organisations as well as commercial content vendors and large business corporations. This papers briefly reviews the evolution of learning paradigms and methodologies. With focus on modern e-learning tools and platforms, in the second part, different approaches in organising learning delivery are presented. In the third part, characteristics of e-learning tools and platforms are reviewed. According to the ISO software quality measure standards 9126 and 25000 and available assessing methods for learning systems, we propose a set of important characteristics for descriptive evaluation of e-learning systems. Furthermore, we analyse the impact of developing IT areas on selected characteristics.

References:

[1] M. Alcaiz, M. Contero, D. C. Prez-Lpez, and M. Ortega. Augmented Reality Technology for Education. In New Achievements in Technology Education and Development. InTech 2010, March 2010. [2] S. M. Alessi and S. R. Trollip. Multimedia for Learning. Allyn and Bacon, 3 edition, 2001. [3] U. Barchetti, A. Bucierro, A. Capodieci, L. Capone, L. Mainetti, and S. S. Sabato. Open- WebTalk : a 3D High-Performance Framework to Support Collaborative Learning. In voji- ICEE 2008, International Conference on Engineering Education, 2008. [4] C. C. Bonwell and J. A. Eison. Active Learning: Creating Excitement in the Classroom. GeorgeWashington University, 1991. [5] M. N. Boulos, L. Hetherington L, and S.Wheeler. Second Life: an overview of the potential of 3-D virtual worlds in medical and health education. Health Information & Libraries Journal, 24(4):233245, December 2007. [6] R. G. Bringle and J. A. Hatcher. Implementing Service Learning in Higher Education. Journal of Higher Education, 67(2),March, April 1996. [7] J. Bull and C. McKenna. Blueprint for computer-assisted assessment. London, Routledge- Falmer, 2004. [8] O. Vojinović, I. Z. Milentijević, D. Genov, and A. Radulović. Presentation and Simulation of Computer Architecture. Facta Universitatis, Ser. Electronics and Energetics, 17(3):325–341, 2004. http://factaee.elfak.ni.ac.rs/fu2k43/Milentijevic.html. [9] O. Vojinović, I. Z. Milentijević, D. Genov, and A. Radulović. SimArch: Presentation Tool for Computer Architectures. In Workshops on Computer Science Education, pages 111–116. Faculty of Electronic Engineering, University of Niˇs, January 2004. [10] F. Castro, A. Vellido, . Nebot, and F. Mugica. Applying Data Mining Techniques to e-Learning Problems. In Evolution of Teaching and Learning Paradigms in Intelligent Environment, volume 62 of Studies in Computational Intelligence, pages 183–221. Springer Berlin Heidelberg, 2007. [11] H. Chenn-Jung, C. San-Shine, and G. Chih-Tai. Implementation and performance evaluation of parameter improvement mechanisms for intelligent e-learning systems. Computers & Education, 49(3):597614, November 2007. [12] G. Conole and B.Warburton. A review of computer-assisted assessment. Research in Learning Technology, 13(1):17–31,March 2005. [13] B. P. Coppola. Laboratory Instruction: Ensuring an Active Learning Experience. Svinicki, M., and McKeachie, W.J., McKeachie’s Teaching Tips, 2011. [14] A. Dong, H. Li, and B. Wang. Ontology-driven Annotation and Access of Educational Video Data in E-learning. In E-learning, Experiences and Future. InTech 2010, April 2010. [15] M. Ebner. E-Learning 2.0 = e-Learning 1.0 + Web 2.0? Availability, Reliability and Security, International Conference on, 0:1235–1239, 2007. [16] D. C. Edelson, D. N. Gordon, and R. D. Pea. Addressing the challenge of inquiry based learning. Journal of the Learning Sciences, 8:392–450, 1999. [17] International Organization for Standardization. Software engineering – Product quality. http://www.iso.org/iso/iso catalogue/catalogue tc/ catalogue detail.htm?csnumber=22749. Accessed on March 2011. [18] International Organization for Standardization. Software Engineering – Software product Quality Requirements and Evaluation (SQuaRE) – Guide to SQuaRE”, HOWPUBLISHED = ”http://www.iso.org/iso/iso catalogue/catalogue tc/ catalogue detail.htm?csnumber=35683. Accessed on March 2011. [19] A. Gamoran,W. Secada, and C.Marrett. The Organizational Context of Teaching and Learning Changing Theoretical Perspectives. Handbooks of Sociology and Social Research, (1):37–63, 2006. [20] D. F. Garcia, C. Uria, J. C. Granda, F. J. Suarez, and F. Gonzalez. Functional Evaluation of the Commercial Platforms and Tools for Synchronous Distance e-Learning. North Atlantic University Union International Journal of Education and Information Technologies, 1(2):95– 104, 2007. [21] T. Georgiev, E. Georgieva, and A. Smrikarov. M-Learning – a New Stage of E-Learning. International Conference on Computer Systems and Technologies – CompSysTech’2004, 2004. [22] K. Gierlowski and K. Nowicki. A Novel Architecture for E-Learning Knowledge Assessment Systems. Advances in WEB based learning, 4823, 2008. [23] J. C. Granda, C. Ura, F. J. Surez, and D. F. Garca. An efficient networking technique for synchronous e-learning platforms in corporate environments. Computer Communications, 33(14), 2010. [24] C. Greenhow, B. Robelia, and J. E. Hughes. Learning, Teaching, and Scholarship in a Digital Age: Web 2.0 and Classroom Research–What Path Should We Take ”Now”? Educational Researcher, 38(4):246–259, 2009. [25] J. Hall. Assessing Learning Management Systems. http://learning-managementsystem. info/learning-management-systems.php. Accessed on March 2011. [26] X. W. Hao, X. X. Meng, and X. Cui. Research On Maintainability And Expansibility Of E-Learning Systems. In Innovations in E-learning, Instruction Technology, Assessment, and Engineering Education, pages 389–393. Springer Netherlands, 2007. [27] R. Herrero-Martin, J. Prez-Garca, J. P. Solano, and I. M. Solano-Fernndez. EHEA: any obstacles to Converge? In New Achievements in Technology Education and Development. InTech 2010,March 2010. [28] B. Holmes and J. Gardner. E-Learning: Concepts and Practice. SAGE Publications, 2006. [29] E. Irigoyen, L. de Ipia K., N. Garay, A. Goicoechea, A. Ezeiza, M. Peagarikano, G. Bordel, A. Conde, M. Larraaga, L.J. Rodrguez, J. M. Lpez, E. Zulueta, M. Graa, L. de Ipia J.M., J. Rubio, C. Vaquero, and A. Soraluze. Intelligent tutoring system for people with cognitive disabilities. In IADIS International Conference Mobile Learning, 2008. [30] J. A. Itmazi and M. G. Megias. Comparison and evaluation studies of learning content management systems. Unpublished manuscript., 2005. [31] A. Jones, E. Scanlona, C. Tosunoglua, E. Morrisa, S. Rossb, P. Butcherc, and J. Greenbergc. Contexts for evaluating educational software. Interacting with Computers, 11(5):499–516, May 1999. [32] D. C. Leonard. Learning Theories: A to Z. Greenwood Publishing Group, 2002. [33] B. A. Lewis, V. M. MacEntee, S. DeLaCruz, C. Englander, T. Jeffrey, E. Takach, S. W., and J. Woodall. Learning Management Systems Comparison. In Informing Science and IT Education Joint Conference, 2005. [34] F. Liu and B. Shih. E-learning activity-based material recommendation system. Interactive Technology and Smart Education, 4(4):200–207, 2008. [35] J.C.S. Merino. Challenging students’ responsibility: An engagement methodology. In The Engineering Education Conference (EDUCON), pages 253 – 262, 2010. [36] I. Milentijevic, V. Ciric, and O. Vojinovic. VERSION CONTROL IN PROJECT-BASED LEARNING. Computers & Education, An Internation Journal, Elsevier Science, 50, May 2008. [37] B. Minaei-Bidgoli, D. A. Kashy, G. Kortemeyer, and W. F. Punch. Predicting student performance: an application of data mining methods with an educational webbased system. In Proc. IEEE conf. on Frontier in Education, 2003. [38] A. I. Molina, W. J. Giraldo, F. Jurado, M. A. Redondo, and M. Ortega. Evolution of Collaborative Learning Environments based on Desktop Computer to Mobile Computing: A Model- Based Approach. In E-learning, Experiences and Future. InTech 2010, April 2010. [39] M. Nichani. LCMS = LMS + CMS [RLOs] – How Does This Affect the Learner? The Instructional Designer? http://www.elearningpost.com/articles/archives/lcms lms cms rlos, May 2001. Accesses in march 2011. [40] B. Obama. Issues-education. http://www.whitehouse.gov/issues/education. Accessed on March 2011. [41] The official Bologna Process website July 2007 June 2010 Other relevant documents. The official Bologna Process website July 2007 – June 2010. http://www.ond.vlaanderen.be/hogeronderwijs/bologna/ documents/Bologna leaflet web.pdf. Accessed on April 2011. [42] M. J. Oltra, M. Boronat, C. Garca, and M. Flor. Improving Student Competencies Through Faceto-Face and Virtual Teams. In New Achievements in Technology Education and Development. InTech 2010,March 2010. [43] T. M. Orzechowski. Control and Communications. In The Use of Multi-Agents’ Systems in e-Learning Platforms, April 2007. [44] C. Romero, P. Gonzlez, S. Ventura,M.J. del Jesus, and F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems with Applications, 36(2, Part 1):1632 – 1644, 2009. [45] C. Romero, S. Ventura, J. Delgado, and P. De Bra. Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. In Creating New Learning Experiences on a Global Scale, volume 4753 of Lecture Notes in Computer Science, pages 292–306. Springer Berlin / Heidelberg, 2007. [46] D. H. Schunk. Learning Theories: An Educational Perspective. Allyn & Bacon, 5 edition, 2007. [47] G. Siemens. Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1):310, 2005. [48] G. Siemens. Learning Theory or Pastime for the Self-Amused? http://www.elearnspace.org/Articles/ connectivism self-amused.htm, November 2006. [49] M. Sigala. Integrating Web 2.0 in e-learning environments: a socio-technical approach. International Journal of Knowledge and Learning, 3(6):628 – 648, 2007. [50] H. Singh. Building Effective Blended Learning Programs. Educational Technology, 43(6):51– 54, 2003. [51] R. Tracey. Instructivism, constructivism or connectivism? http://ryan2point0.wordpress.com/2009/03/17/ instructivism-constructivism-or-connectivism/. Accessed on March 2011. [52] M. Ueno and T. Okamoto. Bayesian Agent in e-Learning. Advanced Learning Technologies, IEEE International Conference on, 0:282–284, 2007. [53] L. Vicent and X. Gumara. Data Mining for Instructional Design, Learning and Assessment. In E-learning, Experiences and Future. InTech 2010, April 2010. [54] R. Vilaplana,M. A. Satorre, and J. Canto. The continuous evaluation: An activity in the ECTS framewok. In Proceedings of the INTED 2007,March 2007. [55] Official Second Life website. Second life. www.secondlife.com. Accessed on March 2011. [56] E. T. Welsh, C. R. Wanberg, K. G. Brown, and M. J. Simmering. E-learning: emerging uses, empirical results and future directions. International Journal of Training and Development, 7(4):245–258, December 2003. [57] O. R. Zaiane and J. Luo. IEEE International Conference on Advanced Learning Technologies. In Towards Evaluating Learners’ Behaviour in a Web-Based Distance Learning Environment, August 2001.