Skip to main content
SpringerLink
Log in

Personalization Between Pedagogy and Adaptive Hypermedia System

  • Conference paper
  • First Online:
Proceedings of the 5th International Conference on Big Data and Internet of Things (BDIoT 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 489))

Included in the following conference series:

Abstract

Adaptive learning is about providing personalized learning adapted to individual needs, both in terms of learning rhythm and also in terms of content. Personalization in adaptive e-Learning has become a very important topic in research in recent years. With the emergence of the Web, Artificial Intelligence, Big Data,…on learning that is based on these technologies and are about to revolutionize teaching/learning. In this article, we discuss the progression of personalization and personalized and adaptive hypermedia systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baron, G.-L., Bruillard, E.: Technologies de l’information et de la communication et indigènes numériques: quelle situation?. STICEF (Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation) 15, 12 (2008)

    Google Scholar 

  2. Redecker, C.: Review of learning 2.0 practices: study on the impact of web 2.0 innovations of education and training in Europe (2009)

    Google Scholar 

  3. Paramythis, A., Loidl-Reisinger, S.: Adaptive learning environments and E-learning standards. In: Second European Conference on E-Learning, pp. 369–379 (2003)

    Google Scholar 

  4. Tadlaoui, M.A., Khaldi, M.: Concepts and interactions of personalization, collaboration, and adaptation in digital learning. In: Personalization and Collaboration in Adaptive E-Learning, pp. 1–33. IGI Global (2020)

    Google Scholar 

  5. Kim, W.: Personalization: definition, status, and challenges ahead. J. Object Technol. 1(1), 29–40 (2002)

    Article  Google Scholar 

  6. Lamya, A., Kawtar, Z., Mohamed, E., Mohamed, K.: Personalization of an educational scenario of a learning activity according to the learning styles model David Kolb. Global J. Eng. Tech. Adv. 5(3), 099–108 (2020)

    Google Scholar 

  7. Brusilovsky, P.: Developing adaptive educational hypermedia systems: from design models to authoring tools. In: Authoring tools for advanced technology Learning Environments, pp. 377–409. Springer, Dordrecht (2003)

    Google Scholar 

  8. Weibelzahl, S., Weber, G.: Evaluating the inference mechanism of adaptive learning systems. In: International Conference on User Modeling. Springer, pp. 154–162. Berlin, Heidelberg (2003)

    Google Scholar 

  9. Bejaoui, R., et al.: Cadre d’analyse de la personnalisation de l’apprentissage dans les cours en ligne ouverts et massifs (CLOM). Revue STICEF (Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation) 24(2) (2017)

    Google Scholar 

  10. Song, Y., Wong, L.-H., Looi, C.-K.: Fostering personalized learning in science inquiry supported by mobile technologies. Edu. Technol. Res. Dev. 60(4), 679–701 (2012)

    Article  Google Scholar 

  11. Walkington, C., Bernacki, M.L.: Appraising research on personalized learning: definitions, theoretical alignment, advancements, and future directions. J. Res. Technol. Educ. 52(3), 235–252 (2020). https://doi.org/10.1080/15391523.2020.1747757

    Article  Google Scholar 

  12. Lamya, A., Mohamed, E., Mohamed, K.: Adaptive E-learning and scenarization tools: the case of personalization. Int. J. Comput. Trends Technol. 69(6), 28–35 (2021). https://doi.org/10.14445/22312803/IJCTT-V69I6P105

    Article  Google Scholar 

  13. Connac, S.: La Personnalisation des Apprentissages. ESF (2017). https://doi.org/10.14375/NP.9782710137887

    Book  Google Scholar 

  14. Lefèvre, M., et al.: Personnalisation de l’apprentissage: comparaison des besoins et approches à travers l’étude de quelques dispositifs. Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation 19(1), 353–387 (2012). https://doi.org/10.3406/stice.2012.1050

    Article  Google Scholar 

  15. Inan, F., Grant, M.: Individualized web-based instructional design. In: Instructional Design: Concepts, Methodologies, Tools and Applications, pp. 375–388. IGI Global (2011)

    Google Scholar 

  16. Aydoğdu, Y.Ö., Yalçin, N.: A web based system design for creating content in adaptive educational hypermedia and its usability. Malays. Online J. Educ. Technol. 8(3), 1–24 (2020)

    Article  Google Scholar 

  17. Hussain, F.: E-Learning 3.0 = E-Learning 2.0 + Web 3.0?. In: International Association for Development of the Information Society (2012)

    Google Scholar 

  18. Sleeman, D., Brown, J.S.: Intelligent Tutoring Systems. Academic Press, London (1982)

    Google Scholar 

  19. Conlan, O., et al.: Multi-model, metadata driven approach to adaptive hypermedia services for personalized elearning. In: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 100–111. Springer, Berlin, Heidelberg (2002)

    Google Scholar 

  20. Chen, C.-M., Lee, H.-M., Chen, Y.-H.: Personalized e-learning system using item response theory. Comput. Educ. 44(3), 237–255 (2005)

    Article  Google Scholar 

  21. Chen, C.-M.: Intelligent web-based learning system with personalized learning path guidance. Comput. Educ. 51(2), 787–814 (2008)

    Article  Google Scholar 

  22. Sangineto, E.: An adaptive E-learning platform for personalized course generation. In: Architecture Solutions for E-Learning Systems, pp. 262–282. IGI Global (2008)

    Google Scholar 

  23. Hendler, J.: Web 3.0 Emerging. Computer 42(1), 111–113 (2009)

    Google Scholar 

  24. Yarandi, M., Jahankhani, H., Tawil, A.: A personalized adaptive E-learning approach based on semantic web technology. Webology 10(2), 110 (2013)

    Google Scholar 

  25. Lin, C.F., et al.: Data mining for providing a personalized learning path in creativity: an application of decision trees. Comput. Educ. 68, 199–210 (2013)

    Article  Google Scholar 

  26. Krippendorff, K.: Content Analysis: An Introduction to its Methodology. Sage Publications (2018)

    Google Scholar 

  27. Roberts-Mahoney, H., Means, A.J., Garrison, M.J.: Netflixing human capital development: personalized learning technology and the corporatization of K-12 education. J. Educ.tion Policy 31(4), 405–420 (2016)

    Article  Google Scholar 

  28. Imran, H., et al.: PLORS: a personalized learning object recommender system. Vietnam J. Comput. Sci. 3(1), 3–13 (2016)

    Article  MathSciNet  Google Scholar 

  29. Huang, C.S.J., et al.: Effects of situated mobile learning approach on learning motivation and performance of EFL students. J. Educ. Technol. Soc. 19(1), 263–276 (2016)

    Google Scholar 

  30. Xie, H., et al.: Trends and development in technology-enhanced adaptive/personalized learning: a systematic review of journal publications from 2007 to 2017. Comput. Educ. 140, 103599 (2019)

    Article  Google Scholar 

  31. Zhou, Y., et al.: Personalized learning full-path recommendation model based on LSTM neural networks. Inf. Sci. 444, 135–152 (2018)

    Article  Google Scholar 

  32. Schmid, R., Petko, D.: Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students? Comput. Educ. 136, 75–86 (2019)

    Article  Google Scholar 

  33. Mwambe, O., Kamioka, E.: Utilization of learners’ metacognitive experiences to monitor learners’ cognition states in e-learning platforms. Int. J. Inf. Educ. Technol 9, 362–365 (2019)

    Google Scholar 

  34. Mwambe, O.O., Tan, P.X., Kamioka, E.: Bioinformatics-based adaptive system towards real-time dynamic e-learning content personalization. Educ. Sci. 10(2), 42 (2020)

    Article  Google Scholar 

  35. Lin, J., et al.: Personalized learning service based on big data for education. In: 2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI), pp. 235–238. IEEE (2020)

    Google Scholar 

  36. Al Abri, A., et al.: PerLCol: a framework for personalized e-learning with social collaboration support. Int. J. Comput. Digit. Syst. 9(03) (2020)

    Google Scholar 

  37. Essalmi, F., et al.: A fully personalization strategy of E-learning scenarios. Comput. Hum. Behav. 26(4), 581–591 (2010)

    Article  Google Scholar 

  38. Höök, K., et al.: A glass box approach to adaptive hypermedia. In: Adaptive Hypertext and Hypermedia, pp. 143–170. Springer, Dordrecht (1998).

    Google Scholar 

  39. Desai, D.: Modeling Personalized E-Learning for Effective Distance Education

    Google Scholar 

  40. Chartier, D.: Les styles d’apprentissage: entre flou conceptuel et intérêt pratique. Savoirs (2), 7–28 (2003)

    Google Scholar 

  41. Kolb, A.Y., Kolb, D.A.: Learning styles and learning spaces: enhancing experiential learning in higher education. Acad. Manag. Learn. Educ. 4(2), 193–212 (2005)

    Google Scholar 

  42. Dunn, R., et al.: Impact of learningstyle instructional strategies on students’ achievement and attitudes: perceptions of educators in diverseinstitutions. Clearing House 82(3), 135–140 (2008)

    Article  MathSciNet  Google Scholar 

  43. Graf, S., et al.: In-depth analysis of the Felder-Silverman learning style dimensions. J. Res. Technol. Educ. 40(1), 79–93 (2007)

    Google Scholar 

  44. Kolb, D.A.: Experience as the Source of Learning and Development. Prentice Hall, Upper Sadle River (1984)

    Google Scholar 

  45. Kolb, A.Y.: The Kolb Learning Style Inventory-Version 3.1 2005 Technical Specifications, vol. 200, no 72, pp. 166–171. Hay Resource Direct, Boston, MA (2005)

    Google Scholar 

  46. Dunn, R., Honigsfeld, A.: Learning styles: what we know and what we need. In: The Educational Forum, pp. 225–232. Taylor and Francis Group (2013)

    Google Scholar 

  47. Wintergerst, A.C., DeCapua, A., Itzen, R.C.: The construct validity of one learning styles instrument. System 29(3), 385–403 (2001). https://doi.org/10.1016/S0346-251X(01)00027-6

    Article  Google Scholar 

  48. Vanderspelden, J.: APP: individualiser n’est pas personnaliser ou apprendre à s’ autoformer. Actualité de la Formation Permanente (194), 122–129 (2005)

    Google Scholar 

  49. Tomlinson, C.A.: Reconcilable differences: Standards-based teaching and differentiation. Educ. Leadersh. 58(1), 6–13 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Team in Computer Science and University Pedagogical Engineering, Higher Normal School, Abdelmalek Essaadi University, Tetouan, Morocco

    Anoir Lamya, Khaldi Mohamed & Erradi Mohamed

Authors
  1. Anoir Lamya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Khaldi Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Erradi Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anoir Lamya .

Editor information

Editors and Affiliations

  1. ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

  2. UNILEHAVRE, UNIROUEN, Normandie Université, Le Havre, France

    Claude Duvallet

  3. Vrije Universiteit Brussel, Brussels, Belgium

    Abdellah Touhafi

  4. ENSA, Abdelmalek Essaâdi University, Tetuan, Morocco

    Mohammed Al Achhab

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lamya, A., Mohamed, K., Mohamed, E. (2022). Personalization Between Pedagogy and Adaptive Hypermedia System. In: Lazaar, M., Duvallet, C., Touhafi, A., Al Achhab, M. (eds) Proceedings of the 5th International Conference on Big Data and Internet of Things. BDIoT 2021. Lecture Notes in Networks and Systems, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-031-07969-6_17

Download citation

Publish with us

Policies and ethics

Search

Navigation