Abstract
While education increasingly relies on social media technologies to provide richer learning experiences, the rigid and course-centric design of curricula still imposes a challenge for students to construct meaningful connections between social media and formal learning. Building on the knowledge graphs’ potential to establish semantic links among data entities, this paper investigates to what extent knowledge graph-based tools help students with integrating and accessing transdisciplinary social media content in formal courses, and contribute to constructivism in online learning environments? This study proposes a framework that includes a set of tools built on a novel knowledge graph designed to help educators in exposing detailed coverage of their formal courses through explicit concepts, which can serve as building blocks for students to integrate and access transdisciplinary social media content in formal learning settings. The framework is piloted in a business school where 180 students used these tools in an information systems (IS) course. The preliminary results indicate the majority (around 68%) of materials shared and accessed by students through this framework was connected to other disciplines beyond IS, reflecting the possible creation and exploration of transdisciplinary links between social media content and formal courses. Thirty-three students were interviewed to evaluate their opinion on the tools with respect to social constructivism in online learning environments. The interviews provide initial insights on the tools’ potential to promote constructivism by supporting collaborative, learner-centered, high-quality, authentic, facilitated, and interactive learning principles. The study helps students and educators better integrate and access emerging social media content in formal courses.
Similar content being viewed by others
Notes
At the time of writing this paper, cryptocurrencies (e.g., Bitcoin) were trending digital assets that were challenging conventional mediums of exchange, providing new investment and service opportunities.
The ontology schema source is available at https://linked.aub.edu.lb/ontologies/socioeducation.
The tool is accessible at https://linked.aub.edu.lb/apps/socialbookmarks/.
Courses available are accessible at https://linked.aub.edu.lb/collab/index.php/Category:Courses.
References
Alomari, J., Hussain, M., Turki, S., & Masud, M. (2015). Well-formed semantic model for co-learning. Computers in Human Behavior, 51(Part B), 821–828. https://doi.org/10.1016/j.chb.2014.09.047
Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. The International Review of Research in Open and Distributed Learning, 12(3), 80–97
Anderson, T., & Dron, J. (2017). Integrating learning management and social networking systems. Italian Journal of Educational Technology, 25(3), 5–19. https://doi.org/10.17471/2499-4324/950
Bazeley, P., & Jackson, K. (2013). Qualitative data analysis with NVivo (2nd ed.). Sage Publications Limited. )
Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The Semantic Web. Scientific American, 284(5), 28–37
Brickley, D., & Miller, L. (2010 August 9). FOAF vocabulary specification 0.98: Namespace document. http://xmlns.com/foaf/spec/20100809.html
Bull, G., Thompson, A., Searson, M., Garofalo, J., Park, J., Young, C., & Lee, J. (2008). Connecting informal and formal learning experiences in the age of participatory media. Contemporary Issues in Technology and Teacher Education, 8(2), 100–107
Chen, B., & Bryer, T. (2012). Investigating instructional strategies for using social media in formal and informal learning. The International Review of Research in Open and Distributed Learning, 13(1), 87–104
Cheniti Belcadhi, L. (2016). Personalized feedback for self assessment in lifelong learning environments based on semantic web. Computers in Human Behavior, 55(Part A), 562–570. https://doi.org/10.1016/j.chb.2015.07.042
Costa, A. L., & Liebmann, R. (1995). Process is as important as content. Educational Leadership, 52(6), 23–24
Courseware, R K B, Explorer (2012). https://lod-cloud.net/dataset/rkb-explorer-courseware (Consulted December 2021)
d’Aquin, M. (2016). On the use of linked open data in education: Current and future practices. In D. Mouromtsev, & M. d’Aquin (Eds.), Open Data for Education (pp. 3–15). Cham: Springer. https://doi.org/10.1007/978-3-319-30493-9_1
Dabbagh, N., & Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and Higher Education, 15(1), 3–8. https://doi.org/10.1016/j.iheduc.2011.06.002
Dietze, S., Sanchez-Alonso, S., Ebner, H., Yu, H. Q., Giordano, D., Marenzi, I., & Nunes, B. P. (2013). Interlinking educational resources and the web of data. Program, Electronic Library and Information Systems, 47(1), 60–91
Downes, S. (2010). Learning networks and connective knowledge. In H. H. Yang & S. C.-Y. Yuen (Eds.), Collective intelligence and e-learning 2.0: Implications of web-based communities and networking (pp. 1–26). IGI global. https://www.igi-global.com/gateway/chapter/37067
Fensel, D., Şimşek, U., Angele, K., Huaman, E., Kärle, E., Panasiuk, O. … Wahler, A. (2020). Knowledge graphs: Methodology, tools and selected use cases. Cham: Springer. https://doi.org/10.1007/978-3-030-37439-6
Fernández-Breis, J. T., Castellanos-Nieves, D., Hernández-Franco, J., Soler-Segovia, C., Robles-Redondo, M. del, & González-Martínez, C. (2012). R., & Prendes-Espinosa, M. P. A semantic platform for the management of the educative curriculum. Expert Systems with Applications, 39(5), 6011–6019. https://doi.org/10.1016/j.eswa.2011.11.123
Gladun, A., Rogushina, J., García-Sanchez, F., Martínez-Béjar, R., & Fernández-Breis, J. T. (2009). An application of intelligent techniques and semantic web technologies in e-learning environments. Expert Systems with Applications, 36(2, Part 1), 1922–1931. https://doi.org/10.1016/j.eswa.2007.12.019
Greenhow, C., & Lewin, C. (2016). Social media and education: Reconceptualizing the boundaries of formal and informal learning. Learning, Media and Technology, 41(1), 6–30. https://doi.org/10.1080/17439884.2015.1064954
Guarino, N., Oberle, D., & Staab, S. (2009). What is an ontology? In. In S. Staab, & R. Studer (Eds.), Handbook on Ontologies (pp. 1–17). Berlin, Heidelberg: Springer. https://doi.org/10.1007
Han, F., & Ellis, R. (2020). Personalised learning networks in the university blended learning context. Comunicar, 28(62), 19–30. https://doi.org/10.3916/C62-2020-02
Hay, D. B. (2007). Using concept maps to measure deep, surface and non-learning outcomes. Studies in Higher Education, 32(1), 39–57. https://doi.org/10.1080/03075070601099432
Heath, T., & Bizer, C. (2011). Linked data: Evolving the web into a global data space. In Y. Ding & P. Groth (Eds.), Synthesis Lectures on the Semantic Web: Theory and Technology 1(1), 1–136. Morgan & Claypool. https://doi.org/10.2200/S00334ED1V01Y201102WBE001
Heath, T., Singer, R., Shabir, N., Clarke, C., & Leavesley, J. (2012). April 17). Assembling and applying an education graph based on learning resources in universities [Paper Session 1]. Second International Workshop on Learning and Education with the Web of Data (LiLe2012), Lyons, France. http://ceur-ws.org/Vol-840/02-paper-20.pdf
Hogan, A., Blomqvist, E., Cochez, M., & d’Amato, C. (2021). Melo, G. de, Gutierrez, C., Kirrane, S., Gayo, J. E. L., Navigli, R., Neumaier, S., Ngomo, A.-C. N., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. Knowledge graphs. In Y. Ding & P. Groth (Eds.), Synthesis Lectures on Data, Semantics, and Knowledge, 12(2), 1–257. Morgan & Claypool. https://doi.org/10.2200/S01125ED1V01Y202109DSK022
Huang, H. M. (2002). Toward constructivism for adult learners in online learning environments. British Journal of Educational Technology, 33(1), 27–37. https://doi.org/10.1111/1467-8535.00236
Jonassen, D. H. (2006). On the role of concepts in learning and instructional design. Educational Technology Research and Development, 54(2), 177–196. https://www.jstor.org/stable/30221320
Jonassen, D. H., & Marra, R. M. (1994). Concept mapping and other formalisms as Mindtools for representing knowledge. Research in Learning Technology (RLT), 2(1), 50–56. https://doi.org/10.3402/rlt.v2i1.9573
Jong, B. S., Lai, C. H., Hsia, Y. T., Lin, T. W., & Liao, Y. S. (2014). An exploration of the potential educational value of Facebook. Computers in Human Behavior, 32, 201–211. https://doi.org/10.1016/j.chb.2013.12.007
Kennedy, J. (2018). Towards a model of connectedness in personal learning networks. Journal of Interactive Online Learning, 16(1), 21–40
Krötzsch, M., Vrandečić, D., & Völkel, M. (2006). Semantic mediawiki. In I. Cruz, et al. (Ed.), The Semantic Web-ISWC 2006 (4273 vol., pp. 935–942). Berlin, Heidelberg: Springer. Lecture Notes in Computer Sciencehttps://doi.org/10.1007/11926078_68
Kurilovas, E., Kubilinskiene, S., & Dagiene, V. (2014). Web 3.0—Based personalisation of learning objects in virtual learning environments. Computers in Human Behavior, 30, 654–662. https://doi.org/10.1016/j.chb.2013.07.039
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
Lockyer, L., & Patterson, J. (2008). Integrating social networking technologies in education: A case study of a formal learning environment. 2008 Eighth IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 529–533. https://doi.org/10.1109/ICALT.2008.67
Manca, S. (2020). Snapping, pinning, liking or texting: Investigating social media in higher education beyond Facebook. The Internet and Higher Education, 44, 100707. https://doi.org/10.1016/j.iheduc.2019.100707
Manca, S., & Ranieri, M. (2016). Is Facebook still a suitable technology-enhanced learning environment? An updated critical review of the literature from 2012 to 2015. Journal of Computer Assisted Learning, 32(6), 503–528. https://doi.org/10.1111/jcal.12154
Medin, D. L. (1989). Concepts and conceptual structure. American Psychologist, 44(12), 1469–1481. https://doi.org/10.1037/0003-066X.44.12.1469
Miranda, S., Orciuoli, F., & Sampson, D. G. (2016). A SKOS-based framework for subject ontologies to improve learning experiences. Computers in Human Behavior, 61, 609–621. https://doi.org/10.1016/j.chb.2016.03.066
Mott, J. (2010). Envisioning the Post-LMS Era: The Open Learning Network.Educause Quarterly, 33(1). https://maaz.ihmc.us/rid=1KCNR85HR-1TZLSG8-VZY/Mott%202010.pdf
Muñoz, A., Lasheras, J., Capel, A., Cantabella, M., & Caballero, A. (2015). OntoSakai: On the optimization of a Learning Management System using semantics and user profiling. Expert Systems with Applications, 42(15–16), 5995–6007. https://doi.org/10.1016/j.eswa.2015.04.019
Nahhas, S., Bamasag, O., Khemakhem, M., & Bajnaid, N. (2018). Added values of linked data in education: A survey and roadmap. Computers, 7(3), 45. https://doi.org/10.3390/computers7030045
Novak, J. D. (2010). Learning, creating, and using knowledge: Concept maps as facilitative tools in schools and corporations (2nd ed.). Routledge. https://doi.org/10.4324/9780203862001
Ouf, S., Abd Ellatif, M., Salama, S. E., & Helmy, Y. (2017). A proposed paradigm for smart learning environment based on semantic web. Computers in Human Behavior, 72, 796–818. https://doi.org/10.1016/j.chb.2016.08.030
Pereira, C. K., Siqueira, S. W. M., Nunes, B. P., & Dietze, S. (2018). Linked data in education: A survey and a synthesis of actual research and future challenges. IEEE Transactions on Learning Technologies, 11(3), 400–412. https://doi.org/10.1109/TLT.2017.2787659
Rani, M., Nayak, R., & Vyas, O. P. (2015). An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, 90, 33–48. https://doi.org/10.1016/j.knosys.2015.10.002
Richardson, W., & Mancabelli, R. (2011). Personal learning networks (3rd ed.). Solution Tree Press.Using the power of connections to transform education
Rüschoff, B., & Ritter, M. (2001). Technology-Enhanced language learning: Construction of knowledge and template-based learning in the foreign language classroom. Computer Assisted Language Learning, 14(3–4), 219–232. https://doi.org/10.1076/call.14.3.219.5789
Salkind, N. (Ed.). (2010). Encyclopedia of research design. SAGE Publications, Inc.
Selwyn, N. (2012). Social media in higher education. The Europa World of Learning (62nd ed.). Routledge
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning 2(1)
Styles, R., & Shabir, N. (2008). Academic Institution Internal Structure Ontology (AIISO). http://vocab.org/aiiso/schema
Kauppinen, T., Trame, J., & Westermann, A. (2012). Teaching Core Vocabulary Specification. http://linkedscience.org/teach/ns/
Twitter Developer Platform (2021). (n.d.). https://developer.twitter.com/ (Consulted December)
Ugander, J., Karrer, B., Backstrom, L., & Marlow, C. (2011). The anatomy of the Facebook social graph. ArXiv:1111.4503. https://arxiv.org/abs/1111.4503
Yaghmaie, M., & Bahreininejad, A. (2011). A context-aware adaptive learning system using agents. Expert Systems with Applications, 38(4), 3280–3286. https://doi.org/10.1016/j.eswa.2010.08.113
Zablith, F., Fernandez, M., & Rowe, M. (2015). Production and consumption of university Linked Data.Interactive Learning Environments, 23(1),55–78. https://doi.org/10.1080/10494820.2012.745428
Zachos, G., Paraskevopoulou-Kollia, E. A., & Anagnostopoulos, I. (2018). Social Media Use in Higher Education: A Review. Education Sciences, 8(4), 194. https://doi.org/10.3390/educsci8040194
Zarzour, H., & Sellami, M. (2017). A linked data-based collaborative annotation system for increasing learning achievements. Educational Technology Research and Development, 65(2), 381–397. https://doi.org/10.1007/s11423-016-9497-7
Zdravkova, K., Ivanović, M., & Putnik, Z. (2012). Experience of integrating web 2.0 technologies. Educational Technology Research and Development, 60(2), 361–381. https://www.jstor.org/stable/41488587
Zhuhadar, L., Kruk, S. R., & Daday, J. (2015). Semantically enriched Massive Open Online Courses (MOOCs) platform. ComputersinHumanBehavior,51(Part B), 578–593. https://doi.org/10.1016/j.chb.2015.02.067
Acknowledgements
I am grateful to the editor and anonymous reviewers for their time and effort in providing invaluable feedback that helped improve the paper. I also thank the students who volunteered to test and provide feedback on the tools, and the research assistants who helped with the development of the tools, data collection, and analysis.
Funding
This study was partially funded by the University Research Board of the American University of Beirut.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The author declares that he has no conflict of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix—Evaluation Protocol
Appendix—Evaluation Protocol
[ Action ] (1) Start the voice recorder. (2) Click on the “red dot” in CamStudio to start recording.
3. Ask the following questions, then pause and wait for the answer after each question.
-
1.
Generic Questions.
.
[Question] Do you think that courses at the School of Business are always up to date? Why?
[ Action ] Go to this link and play it: https://www.youtube.com/watch?v=Gc2en3nHxA4.
[Question] How do you think this could be relevant to what you are studying at the School of Business? In which course do you think this could be taught?
-
2.
Social Bookmarker.
.
Now I am going to show you again how bookmarking online material works.
[ Action ] (1) Go to this link: https://www.youtube.com/watch?v=HlBBdoYbzYA(2) Click on the “Bookmark Material” button within the browser. (3) Show the title, material type, cover concept, and description fields.
[Question] Do you have any questions about this feature before you bookmark a video?
[ Action ] Go to this link: https://www.youtube.com/watch?v=Gc2en3nHxA4.
[Question] Please bookmark this link.
[Question] What do you think about this feature? Why?
-
3.
Social LMS Explorer.
.
Now I am going to show you again how you can explore shared material within Moodle.
[ Action ] (1) Go to http://lms.aub.edu.lb. (2) Go to the Information Systems Course. (3) Click on the “Extract Material” button within the browser. (4) Click on the “Related Material” button next to “Chapter 1—The Importance of MIS.” (5) Click on “Moore’s Law Got Me” video (without playing it). (6) Show briefly one article. (7) Give the mouse to the student and give them time to explore Moodle with the new buttons.
[Question] Please check the material related to “Chapter 9—Business Intelligence Systems.” What do you think about this feature?
[Question] What do you think about the comments related to the “Big Data - Tim Smith” YouTube? What do you think about having comments like this shared with other students and professors?
[Question] Please go to this article: “The Deciding Factor: Big Data Decision Making Capgemini Worldwide.” A student shared this. Based on her input, this article will appear within Information Systems AND Management courses. What do you think of this?
[Question] How do you think those tools can help you in your courses at the School of Business? Why?
-
4.
Social Bookmarks Aggregator.
.
[ Action ] Go to: https://linked.aub.edu.lb/apps/socialbookmarks/and give the student the mouse to browse it.
[Question] What do you think about this page? Do you find it useful? How? Thank you!
Rights and permissions
About this article
Cite this article
Zablith, F. Constructing social media links to formal learning: A knowledge Graph Approach. Education Tech Research Dev 70, 559–584 (2022). https://doi.org/10.1007/s11423-022-10091-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11423-022-10091-2