banner

Deciphering Themes and Trajectories: A Bibliometric Study on Learning Design & Technology over Four Decades

Shikha Mann, Sakshi Mann, Yogesh Mahajan, Amruta Deshpande, Amit Mittal

Abstract


The intersection of learning design with technology continually transforms the educational scene prompting deepstudy. Through an exhaustive bibliometric analysis powered by the myriad features of the Biblioshiny toolset from dataprocured from Scopus vast CSV file resource spanning 1977 to 2023. The study maps the evolution of themes withinthis field. It uncovers how initial conversations about e-learning foundations segued into contemporary dialogues onmobile learning approaches as well as pedagogical design intricacies. Central to this research is the identification ofleading figures in the arena. Highlighting paramount authors or resources offers a tailored breakdown on texts crucial toshaping both past discussions as well as the directions learning design with technology might take in future. Analyzingscientific production trends helps understand shifts over time in the space between innovation bursts to periodsdemanding thoughtful consolidation. By intertwining theme progressions along with key contributors or resourcefindings with production pattern assessments, this research offers a holistic bibliometric panorama. It thereforecondenses learning design with its technology-rich history in conjunction with the current state to guide future researchdirections in this critical educational field.

Keywords


Learning Design;Technology; Bibliometric

Full Text:

PDF

References


1. Morrison G R, Ross S J, Morrison J R, et al. Designing effective instruction. John Wiley & Sons 2019.

2. Goodyear P, Retalis S. Technology-Enhanced learning: Design patterns and pattern languages. BRILL 2010.

3. Ertmer P A, Newby T J. Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective. Performance Improvement Quarterly 2013; 26(2): 43-71.

4. Reigeluth C M, Beatty B J, Myers R D. Instructional-Design theories and models volume IV: The learner-centered paradigm of education. Routledge 2017.

5. Johann D A, Nunes A D F P, Santos G B D, et al. Mapping of scientific production on design thinking as a tool for entrepreneurship education: A bibliometric study of a decade. World Journal of Entrepreneurship Management and Sustainable Development 1999; 16(4): 271-285.

6. Zupic I, Čater T. Bibliometric methods in management and organization. Organizational Research Methods 2015; 18(3): 429-472.

7. Haustein S. Grand challenges in altmetrics: Heterogeneity, data quality and dependencies. Scientometrics 2016; 108(1): 413-423.

8. Reiser R A. A history of instructional design and technology: Part I: A history of instructional media. Educational Technology Research and Development 2001; 49(1): 53-64.

9. Mishra P, Koehler M J. Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record 2006; 108(6): 1017-1054.

10. Wu T, Huang Y, Liu C, et al. A road map for exploring technologies for technology-enhanced learning and teaching: From augmented reality to educational robots. Educational Technology & Society 2012; 15(4): 232-247.

11. Johnson L, Becker S A, Cummins M, et al. NMC horizon report: 2016 higher education edition. The New Media Consortium 2016; pp: 1-50.

12. Roblyer M D, Doering A H. Integrating educational technology into teaching. Pearson 2007.

13. Marshall S J. Shaping the university of the future: Using technology to catalyse change in university learning and teaching. Springer 2018.

14. Mayer R E. Applying the science of learning. Pearson 2011.

15. Jonassen D H, Rohrer-Murphy L. Activity theory as a framework for designing constructivist learning environments. Educational Technology Research and Development 1999; 47(1): 61-79.

16. Dhawan S. Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems 2020; 49(1): 5-22.

17. Ertmer P A. Teacher pedagogical beliefs: The final frontier in our quest for technology integration? Educational Technology Research and Development 2005; 53(4): 25-39.

18. Fadel C, Holmes W, Bialik M. Artificial intelligence in education: Promises and implications for teaching and learning. The Center for Curriculum Redesign 2019.

19. Ferguson R. Learning analytics: Drivers, developments, and challenges. International Journal of Technology Enhanced Learning 2012; 4(5-6): 304-317.

20. Goldie J G S. Connectivism: A knowledge learning theory for the digital age? Medical Teacher 2016; 38(10): 1064-1069.

21. Graham C R. Blended learning systems. In C. J. Bonk & C. R. Graham (Eds.), The handbook of blended learning: Global perspectives, local designs. John Wiley & Sons 2006; pp: 3-21.

22. Holmes W, Bialik M, Fadel C. Artificial intelligence in education: Promises and implications for teaching and learning. The Center for Curriculum Redesign 2019.

23. Huang H M, Rauch U, Liaw S S. Investigating learners' attitudes toward virtual reality learning environments: Based on a constructivist approach. Computers & Education 2010; 55(3); 1171-1182.

24. Adtani R, Neelam N, Raut R, et al. Embracing ICT in academia: Adopting and adapting to the new normal pedagogy. Global Knowledge, Memory and Communication 2023.

25. Jonassen D H, Rohrer-Murphy L. Activity theory as a framework for designing constructivist learning environments. Educational Technology Research and Development 1999; 47(1): 61-79.

26. Laurillard D. Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge 2012.

27. Liu X. Empirical testing of a theoretical extension of the technology acceptance model: An exploratory study of educational wikis. Communications of the Association for Information Systems 2010; 26(1): 14.

28. Luckin R, Bligh B, Manches A, et al. Learning at the crossroads of theory and practice: Research on innovative learning practices. Springer 2016.

29. Means B, Toyama Y, Murphy R, et al. The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record 2013; 115(3): 1-47.

30. Kaul N, Deshpande A, Mittal A, et al. Mapping the research landscape of ICT and environmental sustainability: A bibliometric approach. In 2023 7th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE 2023; pp: 1-7.

31. Radu I. Augmented reality in education: A meta-review and cross-media analysis. Personal and Ubiquitous Computing 2014; 18: 1533-1543.

32. Siemens G. Learning analytics: The emergence of a discipline. American Behavioral Scientist 2013; 57(10): 1380-1400.

33. Sharples M, de Roock R, Ferguson R, et al. Innovating pedagogy 2016: Open University innovation report 5. Institute of Educational Technology, The Open University.

34. Mayer R E, Moreno R. Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist 2003; 38(1): 43-52.

35. Singh V. Examining the impact of digital technologies on education: A review of the literature. Educational Technology Research and Development 2021; 69(4): 985-1009.

36. Tlili A, Shehata B, Essalmi F, et al. A bibliometric analysis on learning design and technology. Educational Technology Research and Development 2022; 70(1): 65-84.

37. Toquero C M. Challenges and opportunities for higher education amid the COVID-19 pandemic: The Philippine context. Pedagogical Research 2020; 5(4): 1-5.

38. Vygotsky L S. Mind in society: The development of higher psychological processes. Harvard University Press 1978.

39. Zawacki-Richter O, Bäcker E M, Vogt S. Review of distance education research (2000 to 2008): Analysis of research areas, methods, and authorship patterns. International Review of Research in Open and Distributed Learning 2009; 10(6): 21-50.

40. Zupic I, Čater T. Bibliometric methods in management and organization. Organizational Research Methods 2015; 18(3): 429-472.

41. Kaul N, Deshpande A, Mittal A, et al. Analytics in higher education: Scoping the landscape of research in the area. In 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE 2022; pp: 1034-1039.

42. Deshpande A, Raut R, Gupta K, et al. Predictors of continued intention of working professionals for pursuing E-learning courses for career advancement. Information Discovery and Delivery 2024; 52(2): 175-184.

43. Deshpande A, Kaul N, Mittal A, et al. Breaking barriers: A review of career transition trends for women. The Open Psychology Journal 2023; 16(1).

44. Kaul N, Deshpande A, Mittal A, et al. The intersection of AI and blockchain in education: A bibliometric and thematic analysis. In 2023 7th International Conference on Computing, Communication, Control and Automation(ICCUBEA). IEEE 2023; pp: 1-6.




DOI: https://doi.org/10.32629/jai.v7i5.1697

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Shikha Mann, Sakshi Mann, Yogesh Mahajan, Amruta D. Deshpande, Amit Mittal

License URL: https://creativecommons.org/licenses/by-nc/4.0