Science for Education Today, 2024, vol. 14, no. 3, pp. 44–69
UDC: 
37.01+004+37.03+378.046.4

Principles of instructional design in adult education: Vectors of change and modelling opportunities based on educational technologies

Kicherova M. N. 1 (Tyumen, Russian Federation), Trifonova I. S. 1 (Tyumen, Russian Federation), Payusova T. I. 1 (Tyumen, Russian Federation)
1 University of Tyumen
Abstract: 

Introduction. The issue of instructional design development is examined, with a particular focus on the potential for developing variable models based on technological solutions which facilitate the synchronisation of adult learning with the demands of the labour market. The aim of this article is to determine the principles of the instructional design for adults, and to identify the key vectors of change influenced by educational technology (EdTech).
Materials and Methods. The methodology was based on ecosystem and socio- environmental approaches, as well as the methods of content analysis, expert interviews and modelling. The method of a qualitative content analysis was used to examine scientific sources with a search depth of 10 years. The selection of experts for interviews was carried out on a criterion sample: work experience in adult education, continuing professional development, consulting, and EdTech. The data were analysed on 15 expert interviews. The authors employed the modelling method to construct a conceptual model of instructional design.
Results. The authors have identified and revealed the differences between instructional design and classical didactics, presented in the educational paradigm shift towards a greater learner agency, an open multidimensional learning environment, and ecosystem connections. As a result, the authors have pointed out three stages of instructional design development, revealed its peculiarities, and identified potential avenues for change. The authors have summarised and formulated the principles of a modern data-driven instructional design, based on the examples of EdTech companies Skillbox, Skyeng, Stepik, Synergy, SkillFactory, Universalium, Synchronisation. The principles are as follows: personalisation, customisation, variability, reduction of a feedback loop, analysis of group and individual educational experiences, immersion in practice and social context. Furthermore, the authors have constructed and described a conceptual model of the instructional design for adults.
Conclusions. In conclusion, the authors present a summary of the principles identified in the field of the modern data-driven instructional design for adult education. Instructional design is regarded as a scientific discipline and practice. The model of instructional design developed by the authors provides adaptability and the capacity for redesigning educational programmes for adults in continuing professional development and EdTech, thereby contributing to the creation of a lifelong learning ecosystem.

Keywords: 

Instructional design; Education technology (EdTech); Adult education; Variable models; Educational programmes; Personalisation of learning; Ecosystem connections.

For citation:
Kicherova M. N., Trifonova I. S., Payusova T. I. Principles of instructional design in adult education: Vectors of change and modelling opportunities based on educational technologies. Science for Education Today, 2024, vol. 14, no. 3, pp. 44–69. DOI: http://dx.doi.org/10.15293/2658-6762.2403.03
References: 
  1. Asmolov A. G., Guseltseva M. S. Value sense of sociocultural modernization of education: From reforms to reformation. RSUH Bulletin. Psychology. Pedagogics. Education Series, 2019, no. 1, pp. 18–43. (In Russian) DOI: https://doi.org/10.28995/2073-6398-2019-1-18-43 URL: https://www.elibrary.ru/item.asp?id=39143022
  2. Asmolov A. G., Rabinovich P. D., Zavedensky K. E. The anthropological turn: Cultural practices for the development of human complexity. Integration of Education, 2023, vol. 27 (4), pp. 591–610. (In Russian)DOI: https://doi.org/10.15507/1991-9468.113.027.202304.591-610 URL: https://www.elibrary.ru/item.asp?id=56660187
  3. Podobed M. S. Didactics in modern professional education for graphic designers. The World of Science, Culture and Education, 2020, no. 1, pp. 67–70. (In Russian) URL: https://elibrary.ru/item.asp?id=42507465
  4. Osmolovskaya I. M. Interplay of didactics and educational practice. Domestic and Foreign Pedagogy, 2022, no. 1, pp. 30–42. (In Russian) URL: https://www.elibrary.ru/item.asp?id=47970862 
  5. Mangaroska K., Giannakos M. Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning. IEEE Transactions on Learning Technologies, 2019, vol. 12 (4), pp. 516–534. DOI: https://doi.org/10.1109/TLT.2018.2868673
  6. Bodily R., Leary H., West R. E. Research trends in instructional design and technology journals. British Journal of Educational Technology, 2018, vol. 50 (1), pp. 64–79. DOI: https://doi.org/10.1111/bjet.12712
  7. Blau I., Shamir-Inbal T., Avdiel O. How does the pedagogical design of a technology-enhanced collaborative academic course promote digital literacies, self-regulation, and perceived learning of students? The Internet and Higher Education, 2020, vol. 45, pp. 100722. DOI: https://doi.org/10.1016/j.iheduc.2019.100722   
  8. Mamun M. A. A., Lawrie G., Wright T. Instructional design of scaffolded online learning modules for self-directed and inquiry-based learning environments. Computers & Education, 2020, vol. 144, pp. 103695. DOI: https://doi.org/10.1016/j.compedu.2019.103695
  9. Engeness I. Developing teachers’ digital identity: Towards the pedagogic design principles of digital environments to enhance students’ learning in the 21st century. European Journal of Teacher Education, 2021, vol. 44 (1), pp. 96–114. DOI: https://doi.org/10.1080/02619768.2020.1849129
  10. Korshunov I. A., Lubnikov S. V., Shirkova N. N. Adult education and training for the development of problem-solving skills. The Education and Science Journal, 2023, vol. 25 (6), pp. 166–192. (In Russian) DOI: https://doi.org/10.17853/1994-5639-2023-6-166-192 URL: https://www.elibrary.ru/item.asp?edn=vrveas
  11. Raikhelgauz L. B. Modernization of didactic theories: Answer to the present challenges. Yaroslavl Pedagogical Bulletin, 2021, no. 4, pp. 19–27. (In Russian) DOI: https://doi.org/10.20323/1813-145X-2021-4-121-19-27 URL: https://www.elibrary.ru/item.asp?id=47446111
  12. Vayndorf-Sysoeva M. E., Vorobchikova E. O. “instructional design” as a system-forming category: Approaches and definitions. Vestnik of Minin University, 2023, vol. 11 (1), pp. 3. (In Russian) DOI: https://doi.org/10.26795/2307-1281-2023-11-1-3 URL: https://www.elibrary.ru/item.asp?edn=hpfzfb
  13. Mallillin L. L. D., Mallillin J. B., Ampongan Y., Ampongan Y. D., Lipayon I. C., Mejica M. M., Burabo J. Z. Instructional design for effective classroom pedagogy of teaching. Eureka: Journal of Educational Research, 2023, vol. 1 (2), pp. 41–52. DOI: https://doi.org/10.56773/ejer.v1i2.6
  14. Stefaniak J., Xu M. An examination of the systemic reach of instructional design models: A systematic review. TechTrends, 2020, vol. 64 (5), pp. 710–719. DOI: https://doi.org/10.1007/s11528-020-00539-8
  15. Leushina I. V., Leushina L. I. Pedagogical design and foreign language training in a non-linguistic university. Tomsk State University Journal, 2023, no. 489, pp. 181–192. (In Russian) URL: https://www.elibrary.ru/item.asp?edn=oidqzv
  16. McDonald J. K., Yanchar S. C. Towards a view of originary theory in instructional design. Education Technology Research and Development, 2020, vol. 68 (2), pp. 633–651. DOI: https://doi.org/10.1007/s11423-019-09734-8
  17. Sobina E. V., Starchenko T. A. Practice-oriented learning as mechanism of interaction between educational organizations and employers. Transport Technician: Education and Practice, 2023, no. 4, pp. 385–391. (In Russian) DOI: https://doi.org/10.46684/2687-1033.2023.4.385-391 URL: https://www.elibrary.ru/item.asp?id=56661588
  18. Saçak B., Bozkurt A., Wagner E. Down the rabbit hole: Revisiting etymology, epistemology, history and practice of instructional and learning design. eLearn, 2022, vol. 2022 (3), pp. 3527485. DOI: https://doi.org/10.1145/3529516.3527485
  19. Anggraeni D., Binar K., Suprapto N., Shofiyah N., Jatmiko B. Systematic review of problem based learning research in fostering critical thinking skills. Thinking Skills and Creativity, 2023, vol. 49 (3), pp. 101334. DOI: https://doi.org/10.1016/j.tsc.2023.101334  
  20. Almulla M. A. the effectiveness of the project-based learning (PBL) approach as a way to engage students in learning. Sage Open, 2020, vol. 10 (3), pp. 215824402093870.  DOI: https://doi.org/10.1177/2158244020938702
  21. Børte K., Nesje K., Lillejord S. Barriers to student active learning in higher education. Teaching in Higher Education, 2020, vol. 28 (3), pp. 597–615. DOI: https://doi.org/10.1080/13562517.2020.1839746
  22. Muhajirah M. Basic of learning theory: (Behaviorism, cognitivism, constructivism, and humanism). International Journal of Asian Education, 2020, vol. 1 (1), pp. 37–42. DOI: https://doi.org/10.46966/ijae.v1i1.23
  23. Means A. Platform learning and on-demand labor: Sociotechnical projections on the future of education and work. Learning, Media and Technology, 2018, vol. 43 (3), pp. 326–338. DOI: https://doi.org/10.1080/17439884.2018.1504792
  24. Abraukhova V. V., Pomakhina L. I. Updating the content of teacher retraining programs. Innovative Science: Psychology, Pedagogy, Defectology, 2022, vol. 5 (2), pp. 51–69. (In Russian) DOI: https://doi.org/10.23947/2658-7165-2022-5-2-51-69 URL: https://www.elibrary.ru/item.asp?id=49418903
  25. Fidan M., Gencel N. Supporting the instructional videos with chatbot and peer feedback mechanisms in online learning: The effects on learning performance and intrinsic motivation. Journal of Educational Computing Research, 2022, vol. 60 (7), pp. 1716–1741. DOI: https://doi.org/10.1177/07356331221077901
  26. Jiang L. Virtual reality action interactive teaching artificial intelligence education system. Complexity, 2021. vol. 2021 (3), pp. 1–11. DOI: https://doi.org/10.1155/2021/5553211 
  27. Mirchi N., Bissonnette V., Yilmaz R., Ledwos N., Winkler-Schwartz A., Del Maestro R. The virtual operative assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine. PLOS ONE, 2020, vol. 15 (2), pp. e0229596. DOI: https://doi.org/10.1371/journal.pone.0229596
  28. Zotou M., Tambouris E., Tarabanis K. Data-driven problem based learning: Enhancing problem based learning with learning analytics. Educational Technology Research and Development, 2020, vol. 68 (6), pp. 3393–3424. DOI: https://doi.org/10.1007/s11423-020-09828-8
  29. Dolgikh A. D. Using heat maps to optimize educational business processes in the skill box company. Modelling and Data Analysis, 2023, vol. 13 (3), pp. 144–157. (In Russian) DOI: https://doi.org/10.17759/mda.2023130310 URL: https://www.elibrary.ru/item.asp?id=54637227
  30. Zalata О. А., Eremenko Yu. А. Assessing the perception of educational content at various levels of multimedia. Integration of Education, 2020, vol. 24 (4), pp. 678–691. (In Russian) DOI: https://doi.org/10.15507/1991-9468.101.024.202004.678-691 URL: https://www.elibrary.ru/item.asp?id=44389219
Date of the publication 30.06.2024