Przejdź do treści

Uniwersytet Śląski w Katowicach

Kontrast sun contrast contrast contrast contrast contrast
Czcionka A A A
Wsparcie convenience convenience
  • Polski
  • English
search
search
Wydział Sztuki i Nauk o Edukacji
Logo Europejskie Miasto Nauki Katowice 2024
home link Nauka i badania Serie wydawnicze i czasopisma Seria „E-learning” 11. E-learning and STEM Education – Articles 18

MODELS OF E-LEARNING SYSTEMS ARCHITECTURE USING AI COMPONENTS 

full-text article

DOI: 10.34916/el.2019.11.19

Jolanta Szulc University of Silesia in Katowice (Poland)

Abstract: The aim of the study is to present the current state of research on the models of e-learning systems architecture designed using Artificial Intelligence (AI) components. To achieve this goal, the literature of the subject selected from the databases: LISA, LISTA and ERIC and other internet sources were researched. The test results are presented in the following order: (1) Introduction. (2) Basic concepts. (3) Models of e-learning systems architecture. (4) Architecture of e-learning systems with AI elements. (5) Conclusions are presented at the end of the article.

Keywords: Artificial Intelligence, Intelligent Tutoring Systems, Learning Technology Systems Architecture

REFERENCES

  • Alharbi, M., Jemmali, M. (2016). Architecture of e-Learning. International Journal of Knowledge Engineering, 2(1), 20-25.
  • Alkhatlan, A., Kalita, J. (2018). Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments. arXiv:1812.09628. Retrieved from https://arxiv.org/abs/1812.09628 (accessed 1 August 2019).
  • Armenski, G., Gusev, M. (2008). Architecture of modern e-learning systems. In: L. Antovski, M. Mihova (Eds.), Proceedings of the Sixth Conference On Informatics And Information Technology CIIT 2008 (pp. 38-42). Retrieved from http://ciit.finki.ukim.mk/data/papers/6CiiT/6CiiT-09.pdf (accessed 1 August 2019).
  • Bellman, R.E. (1978). An Introduction to Artificial Intelligence: Can Computers Think? San Francisco: Boyd & Fraser Pub. Co.
  • Brown J. S., Burton R. R., Kleer, J. De (2008). Pedagogical, natural language and knowledge engineering techniques in SOPHIE I, II & III. In D. Sleeman & J. S. Brown (Eds.), Intelligent Tutoring Systems (pp. 227-251). New York: Academic Press.
  • Brusilovsky, P., Eklund, J., Schwarz, E. (1998). Web-based educationfor all: A tool for developing adaptive courseware. Computer Networks and ISDN Systems, 30(1-7), 291-300.
  • Clancey, W. J. (1986). From Guidon to Neomycin and Heracles in Twenty Short Lessons: ORN Final Report 1979-1985. AI Magazine, 7(3), 40-60.
  • CUPT. (2019). Centrum Uniijnych Projektów Transportowych. Koncepcja architektury w procesie implementacji ITS. Retrieved from https://www.cupt.gov.pl/wdrazanie-projektow/its/its-frame/architektura-frame/koncepcja-architektury-w-procesie-implementacji-its (accessed 1 August 2019).
  • Dašić, P., Dašić, J., Crvenković, B., Šerifi, V. (2016). A review of intelligent tutoring systems in e-learning. Annals of the University of Oradea, 3, 85-89.
  • Dąbkowski, J., Kowalski, M. (2005). Technologia JSP w tworzeniu aplikacji rozproszonych na przykładzie systemu zarządzania nieruchomościami w gminie. [Translate to English] Inżynieria Rolnicza, 14, 75-82.
  • Draganidis, F., Chamopoulou, P., Mentzas, G. (2008). A semantic web architecture for integrating competence management and learning paths. Journal of Knowledge Management, 12(6), 121-136.
  • Erl, T. (2014). SOA : koncepcje, technologie i projektowanie. (A. Grażyński, Trans.). Gliwice: Helion. (Original work published 2005).
  • Fernando, E. (2014, November). E-learning System Architecture based on Service orientation Architecture Cloud Computing. In Name of Editor (ed.) International Conference on Education, Technology and sciences. At: University of Jambi. Indonesia. doi: 10.13140/2.1.4700.3841
  • Findeisen, W. (ed.). (1985). Analiza systemowa. Podstawy i metodologia. [Translate to English] Warszawa: Państwowe Wydawnictwo Naukowe.
  • Finke, A., Bicãns, J. (2010). E-learning system content and architecture evolution. In A. Targamadzé (Ed.) Information Technilogies’2010: Proceedings of the 16th International Conference on Information and Software Technologies (IT 2010), Lithuania, Kaunas, 22-23 April, 2010 (pp. 311-315). Kaunas: Kaunas University of Technology.
  • Flasiński, M. (2010). Introduction to artificial intelligence. [Cham]: Springer International Publishing Switzerland.
  • Garcia-Molina, H., Ullman, J. D., Widom, J. (2014). Database systems: the complete book. Harlow, England: Pearson.
  • Gaździcki, J. (2003). Kompendium infrastruktur danych przestrzennych. Część II skróconej wersji polskiej podręcznika Developing Spatial Data Infrastructures: The SDI Cookbook GIS świat, s. 29, Douglas D. Nebert. [United States] : Global Spatial Data Infrastructure, 2001]. Red., oprac. wersji polskiej: J. Gaździcki. Geodeta, 3, 29-32.
  • Geoforum.pl. (2019a). Od GIS do SDI. Retrieved from https://geoforum.pl/strona/46814,46843,46927/gis-krotki-wyklad-sdi-inaczej-od-gis-do-sdi (accessed 1 August 2019).
  • Geoforum.pl. (2019b). Przyszłość SDI. Retrieved from https://geoforum.pl/page/46814,46843,46927/gis-krotki-wyklad-sdi-inaczej-od-gis-do-sdi (accessed 1 August 2019).
  • Ghatasheh, N. (2015). Knowledge Level Assessment in e-Learning Systems Using Machine Learning and User Activity Analysis. International Journal of Advanced Computer Science and Applications, 6(4), 107-113.
  • Graesser, A. C., VanLehn, K., Rosé, C. P., Jordan, P. W., Harter, D. (2001). Intelligent tutoring systems with conversational dialogue. AI Magazine, 22(4), 39-52.
  • Gryglewicz-Kacerka, W., Duraj, A. (2013). Projektowanie obiektowe systemów informatycznych. [Translate to English] Część II. Włocławek: Państwowa Wyższa Szkoła Zawodowa we Włocławku. [Translate to English]
  • Hoppe, U., Verdejo, M. F., Kay, J. (2003). Artificial intelligence in education: shaping the future of learning through intelligent technologies. Amsterdam, Netherlands Washington, D.C.: IOS Press; Tokyo, Japan: Ohmsha.
  • IBM. (2019). Design an SOA solution using a reference architecture. Retrieved from https://www.ibm.com/developerworks/webservices/library/ar-archtemp/index.html (accessed 1 August 2019).
  • IEEE. (2003). Std 1484.1-2003: IEEE Standard for Learning Technology-Learning Technology Systems Architecture (LTSA). [S.l.]: IEEE.
  • ISO/IEC 42010:2007 Systems and software engineering – Recommended practice for architectural description of software-intensive systems ISO/IEC/IEEE 42010:2011 Systems and software engineering – Architecture Description
  • Khan, M. A., Rehman, F. U. (2014, February 20). An Extendable Open Source Architecture of e-Learning System. In Name of Editor (ed.) 2013 Fourth International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity. Publisher: IEEE. doi: 10.1109/ECONF.2013.51
  • Kołodziński, E., Betliński, G. (2007). Modelowanie systemów informacji przestrzennej z zastosowaniem uogólnionej klasy obiektów. [Translate to English] Roczniki Geomatyki, [Translate to English] 5(2), 39-[53].
  • Lofland J., Snow, D., Anderson, L., Lofland, L. (2009). Analiza układów społecznych. [Translate to English] (E. Hałas, A. Kordasiewicz, S. Urbańska, M. Żychlińska, Trans.). Warszawa: Wydawnictwo Naukowe SCHOLAR.
  • Marciniak, J. (2014). Building E-Learning Content Repositories to Support Content Reusability. International Journal of Emerging Technologies in Learning (iJET), 9(3), 45-52.
  • Marciniak, J. (2015). Inteligentne systemy e-learningowe wykorzystujące ontologie typu wordnet. [Translate to English] Poznań: Wydawnictwo Naukowe UAM.
  • Marciniak, J. (2016). Inteligentne systemy e-learningowe jako przykład wykorzystania sztucznej inteligencji w kształceniu na odległość. [Translate to English] EduAkcja. Magazyn edukacji elektronicznej, 2(12), 87-101.
  • Mendozaab, R., Baldirisab, S., Fabregat, R. (2015). Framework to Heritage Education Using Emerging Technologies. Computer Science Procedures, 75, 239-249.
  • Mousavinasab E., Zarifsanaiey, N., Kalhori, S. R. N., Rakhshan, M., Keikha, L., Saeedi, M. G. (2018, December 18). Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interactive Learning Environments. doi: 10.1080/10494820.2018.1558257 pp.??
  • Murray, T. (1999). Authoring Intelligent Tutoring Systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education, 10, 98-129.
  • Noskova, T., Pavlova, T.,Yakovleva, O. (2018). Study of students’ educational activity strategies in the social media environment. In E. Smyrnova-Trybulska (Ed.). E-learning and smart learning environment for the preparation of new generation specialist: monograph “E-Learning”. 10. (pp. 113-123). Katowice – Cieszyn: Studio Noa; for University of Silesia in Katowice.
  • Nwana, H. S. (1990). Intelligent tutoring systems: an overview. Artificial Intelligence Review, 4(4), 251–277.
  • Pahl, C. (2008). Architecture Solutions for E-Learning Systems. IGI Global.
  • Pattnayak, J., Pattnaik, S., Dash, P. (2017). Knowledge Management in E-Learning. A Critical Analysis. International Journal of Engineering And Computer Science, 6(5), 21528-21533.
  • Phobun, P., Vicheanpanya, J. (2010). Adaptive intelligent tutoring systems for e-learning systems. Procedia – Social and Behavioral Sciences, 2(2), 4064-4069.
  • Plebaniak, R. (2019). Modelowanie i analiza systemów informatycznych   [Translate to English] [Lecture]. Retrieved from http://math.uni.lodz.pl/~robpleb/wyklad1_3.pdf (accessed 1 August 2019).
  • Polson, M. C., Richardson, J. J. (1988). Foundations of intelligent tutoring systems. Hillsdale (New Jersey-USA): Lawrence Erlbaum Associates Publishers.
  • Psotka, J.J., Massey, L.D., Mutter, S.A. (1988). Intelligent tutoring systems:
  • Lesson learned. Hillsdale (New Jersey-USA): Lawrence Erlbaum Associates Publishers, 1988.
  • Rawat, B., Dwivedi, S. K. (2017). Architecture for Recommendation of Courses in E-learning System. Information Technology and Computer Science, 4, 39-47.
  • Russell, S.J., Norvig, P. (2016). Artificial intelligence: a modern approach. Boston [etc.]: Pearson Education Limited.
  • Santhi Dr. R., Priya B., Nadhini J. M.: Review of intelligent tutoring systems using bayesian approach. arXiv:1302.7081. Retrieved from https://arxiv.org/abs/1302.7081 (accessed 1 August 2019).
  • Sharma, S., Ghorpade, S., Sahni, A., Saluja, N. (2014). Survey of Intelligent Tutoring Systems: A Review on the Development of Expert/Intelligent Tutoring Systems, various Teaching Strategies and Expert Tutoring System Design Suggestions. International Journal of Engineering Research & Technology (IJERT), 3(11), 37-42.
  • Smyrnova-Trybulska, E. (2018). Smart university in smart society – some trends. In E. Smyrnova-Trybulska (Ed.). E-learning and smart learning environment for the preparation of new generation specialist : monograph (pp. 65-80). Katowice: Studio Noa; Cieszyn: for University of Silesia in Katowice. Faculty of Ethnology and Sciences of Education.
  • Sommerville, I. (2019). Inżynieria oprogramowania. Rozdział 10. [Lecture]. Retrieved from www.mif.pg.gda.pl/kft/Rozdz10.ppt
  • Sommerville, I. (2000). Software Engineering 6th Edition. Addison Wesley. Soofi, A. A., Uddin, M. (2019). A Systematic Review of Domains, Techniques, Delivery Modes and Validation Methods for Intelligent Tutoring Systems. International Journal of Advanced Computer Science and Applications, 10(3), 99-107.
  • Sudhana, K. M., Cyril, V., Ravi, T. (2013). An Architectural-model for Context aware Adaptive Delivery of Learning Material. International Journal of Advanced Computer Science and Applications, 4(10), 80-87.
  • Tadeusiewicz, R. (2019). Analiza i projektowanie systemów informacyjnych  [Translate to English] [Lecture]. Retrieved from https://www.uci.agh.edu.pl/uczelnia/tad/aipsi/index.php?id=psi (accessed
    1 August 2019).
  • VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197–221.
  • Wenger, É. (1987). Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge. Los Altos, CA: Morgan Kaufmann Publishers, Inc.
  • Wolski, M. (2019). Dokumentacja wymagań oparta na modelu. [Translate to English] Wolski. Retrieved from https://www.michalwolski.pl/2015/05/ dokumentacja-wymagan-oparta-na-modelu/ (accessed 1 August 2019).
  • Zhang, J., Ren, F., Chen, T. (2006, February 27). Intelligent tutoring systems: Research status and its development in China. In Name of Editor (ed.) (Year). 2005 International Conference on Natural Language Processing and Knowledge Engineering. Publisher: IEEE. doi: 10.1109/NLPKE.2005.1598823.
  • Żeliński, J. (2011). Cloud Computing to architektura system. Jarosław Żeliński IT-Consulting, blog post, 11 October. Retrieved from Nhttps://it-consulting.pl/autoinstalator/wordpress/?s=architektura+systemu (accessed 1 August 2019).
icon
icon
icon
return to top