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Integrating Digital Learning Resources in Classroom Teaching: Effects on Teaching Practices and Student Perceptions

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Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption (EC-TEL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13450))

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Abstract

During recent decades, technologies have been widely available for educational institutions, being just one step in the long process of adoption and integration. Despite the number of studies focusing on the adoption of technologies in education, they often focus on teachers’ perspectives, leaving out students’ perceptions. Given that student learning is the cornerstone of technology-enhanced learning, this oversight is a serious drawback in promoting fruitful integration of technology in education. In this paper, we have tracked the use of over 6000 digital learning resources in the authentic setting of secondary schools in Estonia. Using qualitative analysis of open answers by teachers about their teaching practices and a structural equation modelling of school students’ reactions to these teaching practices, we uncovered several influencing factors of students’ perceived usefulness and experiences of using Digital Learning Resources (DLRs). Results show that similar to teachers, the use of DLRs presents students with new challenges that they need to adapt to in their learning.

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Notes

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References

  1. OECD: ICT resources in school education: what do we know from OECD work? OECD (2020)

    Google Scholar 

  2. Fullan, M., Langworthy, M.: A Rich Seam: How New Pedagogies Find Deep Learning. Pearson, London (2014)

    Google Scholar 

  3. Cuban, L.: Why so many structural changes in schools and so little reform in teaching practices. J. Educ. Adm. 51(2), 109–125 (2013)

    Article  Google Scholar 

  4. Toh, Y.: Leading sustainable pedagogical reform with technology for student-centered learning: a complexity perspective. J. Educ. Change 17, 145–169 (2016). https://doi.org/10.1007/s10833-016-9273-9

    Article  Google Scholar 

  5. Glover, I., Hepplestone, S., Parkin, H., Rodger, H., Irwin, B.: Pedagogy first: realising technology enhanced learning by focusing on teaching practice. Br. J. Edu. Technol. 47(5), 993–1002 (2016)

    Article  Google Scholar 

  6. Genlott, A., Grönlund, A.Å., Viberg, O.: Disseminating digital innovation in school – leading second- order educational change. Educ. Inf. Technol. 24, 3021–3039 (2019)

    Article  Google Scholar 

  7. Rolfe, V.E., Alcocer, M., Bentley, E., Milne, D. Meyer-Sahling, J.: Academic staff attitudes towards electronic learning in arts and sciences. Eur. J. Open Dist. Learn. (EURODL) 1–6 (2008)

    Google Scholar 

  8. Mohammadi, F., Abrizah, A., Nazari, M., Attaran, M.: What motivates high school teachers to use web-based learning resources for classroom instruction? An exploratory case study in an Iranian smart school. Comput. Hum. Behav. 51, 373–381 (2015)

    Article  Google Scholar 

  9. Ley, T., Tammets, K., Sarmiento-Márquez, E.M., Leoste, J., Hallik, M., Poom-Valickis, K.: Adopting technology in schools: modelling, measuring and supporting knowledge appropriation. Eur. J. Teach. Educ. (2021). https://doi.org/10.1080/02619768.2021.1937113

  10. Aru-Chabilan, H.: Tiger Leap for digital turn in the Estonian education. Educ. Media Int. 57(1), 61–72 (2020). https://doi.org/10.1080/09523987.2020.1744858

    Article  Google Scholar 

  11. Beckman, K., Bennett, S., Lockyer, L.: Understanding students’ use and value of technology for learning. Learn. Media Technol. 39(3), 346–367 (2014)

    Article  Google Scholar 

  12. Stork, M.G.: Implementing a digital learning initiative: a case study in K-12 classrooms. J. Format. Design Learn. 2(1), 36–48 (2017). https://doi.org/10.1007/s41686-017-0013-1

    Article  Google Scholar 

  13. Pepin, B., Gueudet, G., Yerushalmy, M., Trouche, L., Chazan, D.: E-textbooks in/for teaching and learning mathematics: a disruptive and potentially transformative educational technology. In: English, L., Kirshner, D. (eds.) Handbook of International Research in Mathematics Education, 3rd edn., pp.636–661. Taylor & Francis (2015)

    Google Scholar 

  14. Hamel, C.J., Ryan-Jones, D.: Designing instruction with learning objects. Int. J. Educ. Technol. 3(1), 111–124 (2002)

    Google Scholar 

  15. Merrill, M.D.: First principles of instruction. Educ. Tech. Res. Dev. 50(3), 43–59 (2006)

    Article  Google Scholar 

  16. Churchill, D.: Learning object: an interactive representation and a mediating tool in a learning activity. Educ. Media Int. 42(4), 333–349 (2005)

    Article  Google Scholar 

  17. Lonka, K.: Phenomenal Learning from Finland. Edita Publishing (2018)

    Google Scholar 

  18. Lafuente, M.: Attuning pedagogies to the context of ‘new learners’ and technology. In: Understanding Innovative Pedagogies: Key Themes to Analyse New Approaches to Teaching and Learning. OECD Working paper nr 172 (2018)

    Google Scholar 

  19. OECD: How computers are related to students’ performance. In: Students, Computers and Learning: Making the Connection, pp. 145–164. OECD (2015)

    Google Scholar 

  20. Corrin, L., Kennedy, G., Mulder, R.: Enhancing learning analytics by understanding the needs of teachers. In: Proceedings of the Australian Society for Computers in Learning in Tertiary Education 30th Annual Conference (ASCILITE 2013), Sydney, Australia, pp. 201–205 (2013)

    Google Scholar 

  21. Taber, K.S.: The role of new educational technology in teaching and learning: A constructivist perspective on digital learning. In: Marcus-Quinn, A., Hourigan, T. (eds.) Handbook on digital learning for K-12 schools, pp. 397–412. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-33808-8_24

    Chapter  Google Scholar 

  22. Hair, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM). Sage Publications (2013)

    Google Scholar 

  23. Becker, J.-M., Klein, K., Wetzels, M.: Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Plan. 45(5–6), 359–394 (2012)

    Article  Google Scholar 

  24. Chin, W.W., Peterson, R.A., Brown, P.S.: Structural equation modelling in marketing: some practical reminders. J. Mark. Theory Pract. 16(4), 287–298 (2008)

    Article  Google Scholar 

  25. Hair, J.F., Sarstedt, M., Matthews, L.M., Ringle, C.M.: Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I—method. Eur. Bus. Rev. 28(1), 63–76 (2016). https://doi.org/10.1108/EBR-09-2015-0094

    Article  Google Scholar 

  26. Ghasemy, M., Teeroovengadum, V., Becker, J.-M., Ringle, C.M.: This fast car can move faster: a review of PLS-SEM application in higher education research. High. Educ. 80, 1121–1152 (2020)

    Article  Google Scholar 

  27. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2014). https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  28. Hair, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial least Squares Structural Equation Modeling (PLS-SEM). Sage Publications (2017)

    Google Scholar 

  29. Hu, L.-T., Bentler, P.M.: Fit Indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol. Methods 3(4), 424–453 (1998)

    Article  Google Scholar 

  30. Dijkstra, T.K., Henseler, J.: Consistent and asymptotically normal PLS estimators for linear structural equations. Comput. Stat. Data Anal. 81(1), 10–23 (2015)

    Article  MathSciNet  Google Scholar 

  31. Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Psychology Press (1988)

    Google Scholar 

  32. Sailer, M., Murböck, J., Fischer, F.: Digital learning in schools: what does it take beyond digital technology? Teach. Teach. Educ. 103, 103346 (2021)

    Article  Google Scholar 

  33. Sailer, M., et al.: Technology-related teaching skills and attitudes: validation of a scenario-based self-assessment instrument for teachers. Comput. Hum. Behav. 115, 106625 (2021)

    Article  Google Scholar 

  34. Chi, M.T., Wylie, R.: The ICAP framework: linking cognitive engagement to active learning outcomes. Educ. Psychol. 49(4), 219–243 (2014)

    Article  Google Scholar 

  35. Fraillon, J., Ainley, J., Schulz, W., Friedman, T., Duckworth, D.: Preparing for Life in a Digital Age. IEA, Amsterdam (2019)

    Google Scholar 

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Acknowledgments

This research was funded by the ETAG-funded grant PRG1634 and European Union’s Horizon 2020 research and innovation program, grant agreement No. 669074.

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Authors and Affiliations

  1. Tallinn University, Tallinn, Estonia

    Kairit Tammets, Edna Milena Sarmiento-Márquez, Manisha Khulbe & Mart Laanpere

  2. Danube University Krems, Krems an der Donau, Austria

    Tobias Ley

Authors
  1. Kairit Tammets
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  2. Edna Milena Sarmiento-Márquez
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  3. Manisha Khulbe
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  4. Mart Laanpere
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  5. Tobias Ley
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Corresponding author

Correspondence to Kairit Tammets .

Editor information

Editors and Affiliations

  1. Pontificia Universidad Católica de Chile, Santiago, Chile

    Isabel Hilliger

  2. Universidad Carlos III de Madrid, Madrid, Spain

    Pedro J. Muñoz-Merino

  3. KU Leuven, Leuven, Belgium

    Tinne De Laet

  4. Universidad de Valladolid, Valladolid, Spain

    Alejandro Ortega-Arranz

  5. The Open University, Milton Keynes, UK

    Tracie Farrell

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Tammets, K., Sarmiento-Márquez, E.M., Khulbe, M., Laanpere, M., Ley, T. (2022). Integrating Digital Learning Resources in Classroom Teaching: Effects on Teaching Practices and Student Perceptions. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol 13450. Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_28

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  • DOI: https://doi.org/10.1007/978-3-031-16290-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16289-3

  • Online ISBN: 978-3-031-16290-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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