A Study of Students’ Preferences in The Information Resources of The Digital Learning Environment


  • Tatiana Noskova Herzen State Pedagogical University of Russia
  • Tatiana Pavlova Herzen State Pedagogical University of Russia
  • Olga Yakovleva Herzen State Pedagogical University of Russia https://orcid.org/0000-0002-5878-099X




Information behaviour , digital learning environment, personalisation of learning, information culture, higher education, student


The digital learning environment comprises various resources - didactically transformed and untransformed information, and mediated communication. Students’ information behaviour combines both actions characteristic of the traditional educational process and specific for the digital environment, based on digital tools and user interactions. Students’ information behaviour in the digital environment is considered as an indicator of their engagement in various educational activities that contribute to the personalisation of learning. The results of a survey on students’ preferences of information resources in the digital environment show that learners use a variety of information sources, but they mainly apply the methods of work in the “traditional” learning paradigm. They insufficiently use the digital environment potential of collaboration, knowledge exchange, and knowledge extraction from authentic sources. Obtained data indicates problems in students’ information culture and shortcomings in the methodological support of students’ autonomous work. Based on the results, recommendations on creating conditions for developing students’ prospective strategies of interaction with digital resources are proposed. These recommendations include a gradual increase of the authentic digital learning resources, an account of students’ information preferences, and a particular attention to the management issues in the digital learning environment.


Agency for Strategic Initiatives (2015) Atlas of Emerging Jobs, [Online], Available: http://www.skolkovo.ru/public/media/documents/research/sedec/SKOLKOVO_SEDeC_Atlas_2.0_Eng.pdf [7 Jul 2020].

Attwell, G. (2007) ‘Personal Learning Environments - the future of eLearning?’, ELearning Papers, Vol. 2, No. 1, pp. 108.

Bates, A. W. (2015) Teaching in a Digital Age: Guidelines for designing teaching and learning for a digital age, [Online], Available: https://opentextbc.ca/teachinginadigitalage/ [20 Oct 2020].

Belyakova E. G. and Zakharova I. G. (2019) ‘Interaction of university students with educational content in the conditions of information educational environment’, The Education and Science Journal, Vol. 21, No. 3, pp. 77–105, [In Russian]. https://doi.org/10.17853/1994-5639-2019-3-77-105

Downes, S. (2010) Learning Networks and Connective Knowledge. [Online], Available: https://www.semanticscholar.org/paper/Learning-Networks-and-Connective-Knowledge-Downes/be5e744ec0565b7000e74b6ecb0d75882d37dcbd [7 Jul 2020].

Drucker, P. (2017) The Age of Discontinuity: Guidelines to Our Changing Society, Routledge. Taylor & Francis Group.

Duvall, M., Matranga, A. and Silverman, J. (2020) ‘Designing for and facilitating knowledge-building discourse in online courses’, Information and Learning Science, Vol. 121, No. 7-8, 487-501. https://doi.org/10.1108/ILS-04-2020-0081

Educause (2019) EDUCAUSE Horizon ReportHigher Education Edition. [Online], Available: https://library.educause.edu/-/media/files/library/2019/4/2019horizonreport.pdf?la=en&hash=C8E8D444AF372E705FA1BF9D4FF0DD4CC6F0FDD1 [7 Jul 2020].

Farrow, R., De Los Arcos, B. and Pitt, R. (2016) ‘Who are the open learners? A Comparative study profiling non-formal users of open educational resources’, European Journal of Open, Distance and E-Learning, Vol. 18, No. 2, pp. 49-731. https://doi.org/10.1515/eurodl-2015-0013

Future Work Skills Summary Map (2011) [Online], Available: https://www.iftf.org/uploads/media/IFTF_FutureWorkSkillsSummary_01.gif [7 Jul 2020].

Han, F. F. and Ellis, R. (2020) ‘Personalised learning networks in the university blended learning context’, Comunicar, Vol. 28, No. 62, pp. 19-30. https://doi.org/10.3916/C62-2020-02

Hayman, R., Smith, E. E. and Storrs, H. (2019) ‘Information behaviour of undergraduate students using Facebook Confessions for educational purposes’, Proceedings of RAILS - Research Applications Information and Library Studies, Faculty of Information Technology, Monash University, 28-30 November 2018. Information Research, Vol. 24, No. 3, 1809.

Hegarty, B. and Thompson, M. (2019) ‘A teacher’s influence on student engagement: Using smartphones for creating vocational assessment ePortfolios’, Journal of Information Technology Education: Research, Vol. 18, pp. 113-139. https://doi.org/10.28945/4244

Huijbers, C., Sprang van, H. and Groen, B. (2018) ‘Student preferences & open learning spaces’, European Facility Management Conference, Sofia, pp. 1-12.

Iatrellis, O., Savvas, I. K., Kameas, A. and Fitsilis, P. (2020) ‘Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics’, Education and Information Technologies, Vol. 25, No. 4, pp. 3109-3129. https://doi.org/10.1007/s10639-020-10105-7

Iucu, R. B. and Marin, E. (2014) ‘Authentic Learning in Adult Education’, Procedia - Social and Behavioural Sciences, Vol. 142, pp. 410-415 https://doi.org/10.1016/j.sbspro.2014.07.702

Jagušt, T. and Botički, I. (2019) ‘Mobile learning system for enabling collaborative and adaptive pedagogies with modular digital learning contents’, Journal of Computers in Education, Vol. 6, No. 3, pp. 335-362. https://doi:10.1007/s40692-019-00139-3

Johnston, N. and Salaz, A. M. (2019) ‘Exploring the reasons why university students prefer print over digital texts: An Australian perspective’, Journal of the Australian Library and Information Association, Vol. 68, No. 2, pp. 126-145. https://doi.org/10.1080/24750158.2019.1587858

Kent, C. and Rechavi, A. (2020) ‘Deconstructing online social learning: Network analysis of the creation, consumption and organization types of interactions’, International Journal of Research and Method in Education, Vol. 43, No. 1, pp. 16-37. https://doi.org/10.1080/1743727X.2018.1524867

Kholodnaya, M. A. (2002) Psychology of intelligence. Paradoxes of research. St. Petersburg: Peter.

Kholodnaya, M. A. and Gelfman, E. G. (2016) Developing educational texts as a means of intellectual education of students, Moscow: Publishing House “Institute of Psychology RAS”.

Kompen, R. T., Edirisingha, P., Canaleta, X., Alsina M. and Monguet, J. M. (2019). ‘Personal learning Environments based on Web 2.0 services in higher education’, Telematics and Informatics, Vol. 38, pp. 194-206. https://doi.org/10.1016/j.tele.2018.10.003

Kuzmanović, M., Andjelković-Labrović, J, and Nikodijević, A. (2019) ‘Designing e-learning environment based on student preferences: conjoint analysis approach’, International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), Vol. 7, No. 3, pp. 37-47. https://doi.org/10.5937/IJCRSEE1903037K

Lafuente, M. (2017) ‘Getting looped into the web: characterizing learning processes and educational responses’, Interactive Learning Environments, Vol. 25, No. 1, pp. 72-84. https://doi.org/10.1080/10494820.2015.1116014

Laptev, V. and Noskova, Т. (2013) ‘Professional training in the digital network environment’, Higher Education in Russia, Vol. 2. pp. 79-83.

Lopez-Rosenfeld, M. (2017) ‘Tell me and I forget, teach me and I may remember, involve me and I learn: Changing the approach of teaching computer organization’, Proceedings – 2017 IEEE/ACM 1st International Workshop on Software Engineering Curricula for Millennials, SECM 2017, pp. 68– 71.

Mayer, R. E. (2019) ‘Computer games in education’, Annual Review of Psychology, Vol. 70, pp. 531-549. https://doi.org/10.1146/annurev-psych-010418-102744

Nabizadeh, A. H., Leal, J. P., Rafsanjani, H. N. and Shah, R. R. (2020) ‘Learning path personalization and recommendation methods: A survey of the state-of-the-art’, Expert Systems with Applications, Vol. 159, 113596. https://doi.org/10.1016/j.eswa.2020.113596

Nau, S. (2017) ‘From Understanding Net Generation Expectation to Sustainable Student Engagement’, in Issa T., Isaias P., Issa T. (eds) Sustainability, Green IT and Education Strategies in the Twenty-first Century. Green Energy and Technology, Springer, Cham, pp. 63–76. https://doi.org/10.1007/978-3-319-57070-9_4

Noskova, T., Pavlova, T. and Yakovleva, O. (2020) ‘Diversity of students’ information behaviour within a digital learning environment’ Proceedings of the 17th International Conference Efficiency and Responsibility in Education (ERIE 2020), Prague, pp. 204-212.

Noskova, T., Pavlova, T. and Yakovleva, O. (2016) ‘Analysis of domestic and international approaches to the advanced educational practices in the electronic network environment’, Integration of education, Vol. 20, No. 4, pp. 456-467, [In Russian]. https://doi.org/10.15507/1991-9468.085.020.201604.456-467

Noskova, Т., Yakovleva, O., Pavlova, Т. and Smyrnova-Trybulska, Е. (2018) ‘Strategies of students’ information behaviour in the context of lifelong learning’, Open Education, Vol. 22, pp. 25-34. http://dx.doi.org/10.21686/1818-4243-2018-3-25-34

Ministry of Science and Higher Education of the Russian Federation (2018) Order on the approval of the Federal state educational standard of the higher education, a bachelor degree in training 44.03.01 Pedagogical education. Portal of Federal State Educational Standards of Higher Education, [In Russian], [Online], Available: http://fgosvo.ru/uploadfiles/FGOS%20VO%203++/Bak/440301_B_3_16032018.pdf [7 Jul 2020].

Redecker, C. (2017) European Framework for the Digital Competence of Educators: DigCompEdu. Punie, Y. (ed). EUR 28775 EN. Publications Office of the European Union, Luxembourg. [Online], Available: https://publications.jrc.ec.europa.eu/repository/bitstream/JRC107466/pdf_digcomedu_a4_final.pdf [7 Jul 2020].

Sansone, N., Cesareni, D., Ligorio, M. B., Bortolotti, I. and Buglass, S. L. (2020) ‘Developing knowledge work skills in a university course’, Research Papers in Education, Vol. 35, No. 1, pp. 23-42. http://doi.org/10.1080/02671522.2019.1677754

Segal, A., Gal, K., Shani, G. and Shapira, B. (2019) ‘A difficulty ranking approach to personalization in E-learning’, International Journal of Human Computer Studies, Vol. 130, pp. 261-272. https://doi.org/10.1016/j.ijhcs.2019.07.002

Siemens, G. (2005) Connectivism: A Learning Theory for the Digital Age. [Online], Available: https://jotamac.typepad.com/jotamacs_weblog/files/Connectivism.pdf [7 Jul 2020].

Skalaban, I. A., Osmuk, L. A., Kolesova, O. V. and Cherepanov, G. M. (2020) ‘Roads Old and New: Educational Strategies of Russian Students in University Choice’, Higher Education in Russia, Vol. 29, No. 2, pp. 50-62. [In Russian]. https://doi.org/10.31992/0869-3617-2020-29-2-50-62

Sleeman, J., Lang, C. and Dakich, E. (2020) ‘Social media, learning and connections for international students: The disconnect between what students use and the tools learning management systems offer’, Australasian Journal of Educational Technology, Vol. 36, No. 4, pp. 44–56. https://doi.org/10.14742/ajet.4384

Smith, E. (2017) ‘Social media in undergraduate learning: categories and characteristics’, International Journal of Educational Technology in Higher Education, Vol. 14, No. 1, pp. 2-24. https://doi.org/10.1186/s41239-017-0049-y

Somyürek, S., Brusilovsky, P. and Guerra, J. (2020) ‘Supporting knowledge monitoring ability: open learner modeling vs. open social learner modeling’, Research and Practice in Technology Enhanced Learning – RPTEL, Vol. 15, No. 17. https://doi.org/10.1186/s41039-020-00137-5

Spink, A. and Cole, C. (2006) ‘Introduction: New Directions in Human Information Behaviour’, in Spink A., Cole C. (ed.) New Directions in Human Information Behaviour. Information Science and Knowledge Management, Vol. 8. Dordrecht: Springer. https://doi.org/10.1007/1-4020-3670-1

Takev, M., Rodriguez-Artacho, M. and Somova, E. (2019) ‘Creating interactive and traceable epub learning content from Moodle courses’, Mathematics and Informatics, Vol. 62, No. 4, pp. 459-470.

Wannemacher, K. (2016) ‘Digitale Lernszenarien im Hochschulbereich’, Vorgelegt von HIS-Institut für Hochschulentwicklung (HIS-HE). No. 15, 114 p. [Online], Available: https://www.uni-heidelberg.de/md/journal/2016/05/pub_hfd_digitale_lernszenarien.pdf [In German], [7 Jul 2020].

Wilhelm-Chapin, M. K. and Koszalka, T. A. (2020) ‘Graduate students’ use and perceived value of learning resources in learning the content in an online course’, TechTrends, Vol. 64, No. 3, pp. 361-372. https://doi.org/10.1007/s11528-019-00464-5

Wilson, T. (2000) ‘Human Information Behaviour’, Informing Science, Vol. 3, No. 2, pp. 49-55. https://doi.org/10.28945/57610.28945/576

Xing, W. and Du, D. (2019) ‘Dropout prediction in MOOCs: Using deep learning for personalized intervention’, Journal of Educational Computing Research, Vol. 57, No. 3, pp. 547-570. https://doi:10.1177/0735633118757015

Zojaji, S. and Peters, C. (2019) ‘Towards virtual agents for supporting appropriate small group behaviours in educational contexts’, Proceedings of the 11th International Conference on Virtual Worlds and Games for Serious Applications, VS-Games 2019, Vienna, 8864528. https://doi.org/10.1109/VS-Games.2019.8864528

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How to Cite

Noskova, T., Pavlova, T. and Yakovleva, O. (2021) ’A Study of Students’ Preferences in The Information Resources of The Digital Learning Environment’, Journal on Efficiency and Responsibility in Education and Science, vol. 14, no. 1, pp. 53–65. https://doi.org/10.7160/eriesj.2021.140105



Research Paper