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A classification of eLearning tools based on the applied multimedia

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Abstract

This paper proposes a classification that should help understanding key aspects of multimedia application in eLearning tools. The classification tries to cover important aspects of multimedia application in eLearning tools: communication channels and exchange of different types of contents throughout the channels, understanding in communication, and the ways of object manipulation in the user-tool interaction. Types of contents are classified according to the senses they affect on both sides of communication channels. The paper presents characteristics of 30 representative tools through a uniformly structured text. The presented tools are analyzed according to the proposed classification. A view of the future challenges, based on an analysis of the global trends in the area, is given.

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References

  1. ACM/IEEE (2001) Computing curriculum 2001. http://www.acm.org/education/curric_vols/cc2001.pdf . Accessed 15 June 2013

  2. Ainsworth S (2008) How should we evaluate multimedia learning environments?. In Understanding multimedia documents 249–265

  3. Ardito C, Buono P, Costabile MF, Lanzilotti R, Pederson T, Piccinno A (2008) Experiencing the Past through the Senses: An M-Learning Game at Archaeological Parks. IEEE MULTIMEDIA 15:76–81

    Google Scholar 

  4. Azuma R, Baillot Y, Behringer R, Feiner S, Julier S, MacIntyre B (2001) Recent advances in augmented reality. IEEE Comput Graph Appl 21:34–47

    Article  Google Scholar 

  5. Barab S, Thomas M, Dodge T, Carteaux R, Tuzun H (2005) Making learning fun: Quest Atlantis, a game without guns. Educ Technol Res Dev 53:86–107

    Article  Google Scholar 

  6. Beer RD, Chiel HJ, Drushel RF (1999) Using autonomous robotics to teach science and engineering. Commun ACM 42:85–92

    Article  Google Scholar 

  7. Bošnjaković A, Protić J, Tartalja I (2010) Development of a software system for automated test assembly and scoring. Proceedings of the ICERI 2010 conf. 6012–6016

  8. Chang CW, Lee JH, Chao PY, Wang CY, Chen GD (2010) Exploring the possibility of using humanoid robots as instructional tools for teaching a second language in primary school. J Educ Technol Soc 13:13–24

    Google Scholar 

  9. Churchill D (2007) Towards a useful classification of learning objects. Educ Technol Res Dev 55:479–497

    Article  Google Scholar 

  10. Cooper S, Dann W, Pausch R (2000) Alice: A 3-D tool for introductory programming concepts. Proceedings of the 5th Annual CCSC Northeastern Conference 2000 28–29

  11. Czyzewski A, Kostek B (2011) Intelligent multimedia solutions supporting special education needs. 19th International Symposium, ISMIS 2011. Found Intell Syst 6804:1–15

    Google Scholar 

  12. Djordjevic J, Nikolic B, Milenkovic A (2005) Flexible Web-based Educational System for Teaching Computer Architecture and Organization. IEEE Trans Educ 48:264–273

    Article  Google Scholar 

  13. Ellis T (2004) Animating to build higher cognitive understanding: A model for studying multimedia effectiveness in education. J Eng Educ 93:59–64

    Article  Google Scholar 

  14. Erradi A, Nahia S, Almerekhi H, Al-kailani L (2012) ArabicTutor: A multimedia m-Learning platform for learning Arabic spelling and vocabulary. Int Conf Multimedia Comput Syst (ICMCS) 2012:833–838

    Google Scholar 

  15. Farbood MM, Pazstor E, Jennings K (2004) Hyperscore: a graphical sketchpad for novice composers. IEEE Comput Graph Appl 24:50–54

    Article  Google Scholar 

  16. Ferguson S, Moere AV, Cabrera D (2005) Seeing sound: Real-time sound visualisation in visual feedback loops used for training musicians. IEEE Proceedings of the International Conference on Information Visualisation 97–102

  17. Fleck M, Frid M, Kindberg T, O’Brien-Strain E, Rakhi Rajani R, Spasojevic M (2002) From informing to remembering: Ubiquitous systems in interactive museums. IEEE Pervasive Comput 1:13–21

    Article  Google Scholar 

  18. Flynn MJ (1972) Some computer organizations and their effectiveness. IEEE Trans Comput 100:948–960

    Article  Google Scholar 

  19. Frehywot S, Vovides Y, Talib Z, Mikhail N, Ross H, Wohltjen H, Scott J (2013) E-learning in medical education in resource constrained low-and middle-income countries. Hum Resour Health 11:4–11

    Article  Google Scholar 

  20. Guerrero LA, Ochoa S, Collazos C (2010) A mobile learning tool for improving grammar skills. Procedia-Soc Behav Sci 2:1735–1739

    Article  Google Scholar 

  21. Harders M, Bajka M, Spaelter U, Tuchschmid S, Bleuler H, Székely G (2005) Highly-realistic, immersive training environment for hysteroscopy. Stud Health Technol Inform 119:176–181

    Google Scholar 

  22. Hribar VE, Pawluk DTV (2011) A Tactile-Thermal Display for Haptic Exploration of Virtual Paintings. Proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility 221–222

  23. Hsi S, Fait H (2005) RFID enhances visitors’ museum experience at the Exploratorium. Commun ACM 48:60–65

    Article  Google Scholar 

  24. Kanda T, Ishiguro H (2005) Communication robots for elementary schools. Proceedings of the AISB’05 Symposium Robot Companions: Hard Problems and Open Challenges in Robot-Human Interaction 54–63

  25. Klassner F, Anderson S (2003) LEGO MindStorms: Not just for K-12 anymore. IEEE Robot Autom 10:12–18

    Article  Google Scholar 

  26. Kölling M, Quig B, Patterson A, Rosenberg J (2003) The BlueJ system and its pedagogy. Comput Sci Educ 13:249–268

    Article  Google Scholar 

  27. Leacock TL, Nesbit JC (2007) A framework for evaluating the quality of multimedia learning resources. Educational Technology & Society 10:44–59

    Google Scholar 

  28. Lee SH, Choi J, Park JI (2009) Interactive e-learning system using pattern recognition and augmented reality. IEEE Trans Consum Electron 55:883–890

    Article  Google Scholar 

  29. Mayer RE (2005) Cognitive theory of multimedia learning. The Cambridge handbook of multimedia learning 31–48

  30. Mayer RE, Johnson CI (2008) Revising the redundancy principle in multimedia learning. J Educ Psychol 100:380–386

    Article  Google Scholar 

  31. Mayer RE, Moreno R (1998) A Cognitive Theory of Multimedia Learning: Implications for Design Principles. In annual meeting of the ACM SIGCHI Conference on Human Factors in Computing Systems

  32. Mayer RE, Moreno R (2002) Animation as an aid to multimedia learning. Educ Psychol Rev 14:87–99

    Article  Google Scholar 

  33. Moreno R, Mayer R (2007) Interactive multimodal learning environments. Educ Psychol Rev 19:309–326

    Article  Google Scholar 

  34. Moreno A, Myller N, Sutinen E, Ben-Ari M (2004) Visualizing programs with Jeliot 3. Proceedings of the 8th International Working Conference on Advanced Visual Interfaces 373–376

  35. Nawaz A (2013) Using e-learning as a tool for ‘education for all’ in developing states. Int J Sci Technol 4:38–46

    Google Scholar 

  36. Nikolic B, Radivojevic Z, Djordjevic J, Milutinovic V (2009) A survey and evaluation of simulators suitable for teaching courses in computer architecture and organization. IEEE Trans Educ 52:449–458

    Article  Google Scholar 

  37. Odya P, Czyzewski A, Grabkowska A, Grabkowski M (2010) Smart Pen–new multimodal computer control tool for graphomotorical therapy. Intell Decis Technol 4:197–209

    Google Scholar 

  38. Olsson HM (2010) Multimedia Learning–Identifying Research Directions. In Proceedings of the 33rd IRIS Seminar 1–11

  39. Oshima C, Nishimoto K, Suzuki M (2004) Family ensemble: a collaborative musical edutainment system for children and parents. Proceedings of the 12th annual ACM international conference on Multimedia 556–563

  40. Rahman MA, Pakštas A, Wang FZ (2009) Network Modelling and Simulation Tools. Simul Model Pract Theory 17:1011–1031

    Article  Google Scholar 

  41. Rias RM, Abdullah M, Abdul Salam NH (2011) A multimedia learning application for undergraduates in Computer Science: The design, development and usability. In 2011 3rd International Congress on Engineering Education (ICEED) 169–175

  42. Ruiz JG, Mintzer MJ, Leipzig RM (2006) The impact of e-learning in medical education. Acad Med 81:207–212

    Article  Google Scholar 

  43. Sánchez-Torrubia MG, Torres-Blanc C, López-Martínez MA (2009) PathFinder: A Visualization eMathTeacher for Actively Learning Dijkstra’s Algorithm. Electron Notes Theor Comput Sci 224:151–158

    Article  Google Scholar 

  44. Slavković M, Đurđević Đ, Tartalja I (2011) Development of a highly-adaptive educational gameKnowledge Olympics. Info-M 39:48–54

    Google Scholar 

  45. Spasojević M, Tartalja I (2011) Development of Program System Dictation. ICERI2011 conf. 1892–1896

  46. Stanisavljevic Z, Nikolic B, Djordjevic J (2012) A Module for Automatic Assessment and Verification of Students' Work in Digital Logic Design. 2012 I.E. 19th International Conference and Workshops on Engineering of Computer Based Systems (ECBS) 275–282

  47. Stanisavljevic Z, Pavlovic V, Nikolic B, Djordjevic J (2013) SDLDS—System for Digital Logic Design and Simulation. IEEE Trans Educ 56:235–245

    Article  Google Scholar 

  48. Suranauwarat S (2013) A Visual and Interactive Learning Tool for CPU Scheduling Algorithms. Int J Comput Sci 10:509–518

    Google Scholar 

  49. Tafa Z, Rakocevic G, Dj M, Milutinovic V (2011) Effects of Interdisciplinary Education On Technology-driven Application Design. IEEE Trans Educ 54:462–470

    Article  Google Scholar 

  50. Toennies JL, Burgner J, Withrow TJ, Webster RJ (2011) Toward haptic/aural touchscreen display of graphical mathematics for the education of blind students. IEEE World Haptics Conf 2011:373–378

    Google Scholar 

  51. Ullrich C, Shen R, Tong R, Tan X (2010) A Mobile Live Video Learning System for Large-Scale Learning—System Design and Evaluation. IEEE Trans Learn Technol 3:6–17

    Article  Google Scholar 

  52. Urquiza-Fuentes J, Velázquez-Iturbide JÁ (2009) A survey of successful evaluations of program visualization and algorithm animation systems. Trans Comput Educ 9:1–21

    Article  Google Scholar 

  53. Yin J, Wang Y, Hsu D (2005) Digital violin tutor: an integrated system for beginning violin learners. In MULTIMEDIA ‘05: Proceedings of the 13th annual ACM international conference on Multimedia 976–985

  54. Yu L, Harrison L, Lu A, Li Z, Wang W (2011) 3D Digital Legos for Teaching Security Protocols. IEEE Trans Learn Technol 4:125–137

    Article  Google Scholar 

  55. Yue C, Kim J, Ogawa R, Stark E, Kim S (2013) Applying the cognitive theory of multimedia learning: an analysis of medical animations. Medical education 47:375–387

    Article  Google Scholar 

Download references

Acknowledgments

This work has been partially supported by the Ministry of Education and Science of the Republic of Serbia (projects TR32039, TR32047, III44006, and III44009).

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Correspondence to Zarko Stanisavljevic.

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Stanisavljevic, Z., Nikolic, B., Tartalja, I. et al. A classification of eLearning tools based on the applied multimedia. Multimed Tools Appl 74, 3843–3880 (2015). https://doi.org/10.1007/s11042-013-1802-4

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