Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
A Model of a Cooperative Learning Technique in a Flipped International Marketing Management Classroom Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Effective Blended Learning – A Taxonomy of Key Factors Impacting Design Decisions

Authors : Hanlie Smuts, Corlia Smuts

Published in: Innovative Technologies and Learning

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

One of the keys to effective 21st century teaching is to integrate traditional pedagogical methods with the effective use of technology to foster student-centred learning. These increasingly sophisticated technologies are deployed in learning solutions, blending teaching techniques, learning styles, and delivery methods while creating a need for educators to gain new skills to meaningfully engage with these tools. The requirement is to scale blended learning and to design learning experiences that take full advantage of the digital platforms. This study presents a taxonomy with its dimensions and characteristics of the key factors impacting blended learning design. Such a taxonomy is useful not only for describing key factors impacting blended learning design, but also as a professional development tool for educators to increase efficacy of teaching and learning design. We constructed the taxonomy through a classification process following the taxonomy development approach of Nickerson et al.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Effect Analysis and Method Suggestions of Online Learning Under the Public Epidemic Crisis
next chapter Effective Utilization of the Constructivist Web-Based Learning Environment Model to Enhance Human Learning Efficiency Based on Brain-Based Learning
Appendix
Available only for authorised users
Literature
1.
Badri, A., Boudreau-Trudel, B., Souissi, A.S.: Occupational health and safety in the industry 4.0 era: a cause for major concern?. Safety Sci. 109, 403–411 (2018)
2.
3.
Ding, B.: Pharma Industry 4.0: literature review and research opportunities in sustainable pharmaceutical supply chains. Process Safety Environ. Prot. 119, 115–130 (2018)
4.
5.
Fadiran, O., Van Biljon, J., Schoeman, M.: How can visualisation principles be used to support knowledge transfer in teaching and learning?. In: Proceedings of the 2018 Conference on Information Communications Technology and Society (ICTAS 2018), Proceedings of the 2018 Conference on Information Communications Technology and Society (ICTAS 2018), Durban, South Africa. IEEE1 (2018)
6.
Eppler, M., Burkhard, R.: Visual representations in knowledge management: framework and cases. J. Knowl. Manage. 11(4), 112–122 (2007)CrossRef
7.
Saulnier, B.M.: Towards a 21st century information systems education: high impact practices and essential learning outcomes. Issues Inf. Syst. 17(1), 168–177 (2016)
8.
Horizon Report: Higher Education Edition, Educause (2019)
9.
Roscoe, R.D., et al.: End-User Considerations in Educational Technology Design. IGI Global, New York (2018)CrossRef
10.
Zientek, L., et al.: Technology Priorities and Preferences of Developmental Mathematics Instructors. Community College Enterp. 21(1), 27–46 (2015)
11.
Sigaroudi, P.S., Mirroshandel, S.A.: A survey on electronic learning at smart schools. Int. J. Comput. Sci. Netw. Solutions 3(6), 27–41 (2015)
12.
Schneider, M., Stern, E.: The developmental relations between conceptual and procedural knowledge: a multimethod approach. Am. Psychol. Assoc. 46(1), 178–192 (2010)
13.
Gibson, R.T.: The experiences of high school English home language educators in preparing and delivering e- learning lessons to Further Education and Training (FET) learners: a qualitative study, University of KwaZulu Natal, Pietermaritzburg (2019)
14.
Kinshuk, A.M., et al.: Teacher facilitation support in ubiquitous learning environments. Technol. Pedagogy Educ. 27(5), 549–570 (2018)CrossRef
15.
Nickerson, R., Varshney, U., Muntermann, J.: A method for taxonomy development and its application in IS. Eur. J. Inf. Syst. 22, 336–359 (2013)CrossRef
16.
Sangra, A., Vlachopoulos, D., Cabrera, N.: Building an inclusive definition of e- learning: an approach to the conceptual framework. Int. Rev. Res. Open Distrib. Learn. 13(2), 146–160 (2012)
17.
Protsiv, M., Atkins, S.: The experiences of lecturers in African, Asian and European universities in preparing and delivering blended health research methods courses: a qualitative study. Global Health Action 9(1), 20–49 (2016)CrossRef
18.
Garrison, D.R., Kanuka, H.: Blended learning: uncovering its transformative potential in higher education. Internet Higher Educ. 7(2), 95–105 (2004)CrossRef
19.
Basal, A.: The implementation of a flipped classroom in foreign language teaching. J. Distance Educ. 16(4), 28–38 (2015)
20.
Iqbal, M.D., Akter, B.: Technogagement: enhancing Student Engagement through edTech tools. In: Nordin, M.S., et al. (ed.) Humanising Technologies, pp. 29–32 (2018)
21.
Reigeluth, C.M.: Instructional-Design Theories and Models: a New Paradigm of Instructional Theory. Routledge, Abingdon (2013)
22.
23.
Watson, S.L., Watson, W.R.: The role of technology and computer-based instruction in a disadvantaged alternative school’s culture of learning. Comput. Schools 28, 39–55 (2011)CrossRef
24.
Adegbenro, J., Gumbo, T.M.: Exploring the conceptual relationship between teachers’ procedural functional knowledge and pedagogical content knowledge. South Afr. J. Higher Educ. 29(5), 29–47 (2015)
25.
De George-Walkera, L., Keeffe, M.: Self-determined blended learning: a case study of blended learning design. Higher Educ. Res. Dev. 29(1), 1–13 (2010)CrossRef
26.
Hollands, F.M., Escueta, M.: EdTech Decision-making in higher education. In: Working Group B for the EdTech Efficacy Research Academic Symposium, Center for Benefit-Cost Studies of Education (2017)
27.
Bass, R.: The impact of technology on the future of human learning. Change Mag. Higher Learn. 50(3–4), 34–39 (2018)
28.
Mishra, P., Koehler, M.J.: Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers Coll. Record 108(6), 1017–1054 (2006)CrossRef
29.
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)CrossRef
30.
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)CrossRef
31.
Venkatesh, V., et al.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)CrossRef
32.
Romrell, D., Kidder, L.C., Wood, E.: The SAMR model as a framework for evaluating mLearning. Online Learn. J. 18(2), 1–15 (2014)
33.
Remane, G., et al.: The business model pattern database: a tool for systematic business model innovation. Int. J. Innov. Manage. 21(1), 1–61 (2017)CrossRef
34.
Nakatsu, R.T., Grossman, E.B., Iacovou, C.L.: A taxonomy of crowdsourcing based on task complexity. J. Inf. Sci. 40(6), 823–834 (2014)CrossRef
35.
Vaismoradi, M., Turunen, H., Bondas, T.: Content analysis and thematic analysis: implications for conducting a qualitative descriptive study. Nurs. Health Sci. 15(3), 398–405 (2013)CrossRef
36.
Alhojailan, M.I.: Thematic analysis: a critical review of its process and evaluation. West East J. Soc. Sci. 1(1), 39–47 (2012)
37.
Leedy, P.D., Ormrod, J.E.: Practical Research: Planning and Design. 12th (edn.) Pearson, London (2018)
38.
Fernandez, V., Simo, P., Sallan, J.M.: Podcasting: a new technological tool to facilitate good practice in higher education. Comput. Educ. 53(2009), 385–392 (2009)CrossRef
39.
Chen, L.: A model for effective online instructional design. Literacy Inf. Comput. Educ. J. (LICEJ) 6(2), 2303–2308 (2016)
40.
Makuu, M., Ngaruko, D.: Innovation and development in blended learning mode in higher learning institutions: interactive experiences from OUT’s postgraduate students and instructors. Huria J. 18, 42–47 (2014)
Metadata
Title
Effective Blended Learning – A Taxonomy of Key Factors Impacting Design Decisions
Authors
Hanlie Smuts
Corlia Smuts
Copyright Year
2020
Book
Innovative Technologies and Learning

Print ISBN: 978-3-030-63884-9

Electronic ISBN: 978-3-030-63885-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-63885-6_48

Premium Partner

    Image Credits