Blended learning in higher education

Delivery methods selection

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Blending online delivery methods with traditional face-to-face
instruction has emerged in an effort to accommodate an increasingly diverse student population whilst adding value to the learning environment. A large number of research studies have shown a positive effect of blended learning for teaching and learning. However, designing a successful blended learning course is still challenging for many academics in the higher education sector. A major design problem is selecting the most appropriate delivery methods to achieve the course outcomes. This study contributes to addressing this problem by: (i) identifying criteria that teachers should consider when selecting delivery methods for their blended learning courses; and (ii) rating the importance of each of these criteria. It employs a two-round online modified Delphi survey to achieve its aims.
Original languageEnglish
Title of host publication24th European Conference on Information Systems, ECIS 2016
EditorsMeltem Ozturan, Matti Rossi, Daniel Veit
PublisherAssociation for Information Systems
Number of pages13
Publication statusPublished - 2016
EventEuropean Conference on Information Systems 2016 - Boğaziçi University, Istanbul, Turkey
Duration: 12 Jun 201615 Jun 2016
Conference number: 24th
http://www.ecis2016.com/

Conference

ConferenceEuropean Conference on Information Systems 2016
Abbreviated titleECIS 2016
CountryTurkey
CityIstanbul
Period12/06/1615/06/16
Internet address

Keywords

  • Blended learning
  • Blended instruction
  • Delivery methods
  • Instructional methods
  • Blended course design

Cite this

Alammary, A., Carbone, A., & Sheard, J. (2016). Blended learning in higher education: Delivery methods selection. In M. Ozturan, M. Rossi, & D. Veit (Eds.), 24th European Conference on Information Systems, ECIS 2016 Association for Information Systems.
Alammary, Ali ; Carbone, Angela ; Sheard, Judy. / Blended learning in higher education : Delivery methods selection. 24th European Conference on Information Systems, ECIS 2016. editor / Meltem Ozturan ; Matti Rossi ; Daniel Veit. Association for Information Systems, 2016.
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Alammary, A, Carbone, A & Sheard, J 2016, Blended learning in higher education: Delivery methods selection. in M Ozturan, M Rossi & D Veit (eds), 24th European Conference on Information Systems, ECIS 2016. Association for Information Systems, European Conference on Information Systems 2016, Istanbul, Turkey, 12/06/16.

Blended learning in higher education : Delivery methods selection. / Alammary, Ali; Carbone, Angela; Sheard, Judy.

24th European Conference on Information Systems, ECIS 2016. ed. / Meltem Ozturan; Matti Rossi; Daniel Veit. Association for Information Systems, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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AB - Blending online delivery methods with traditional face-to-faceinstruction has emerged in an effort to accommodate an increasingly diverse student population whilst adding value to the learning environment. A large number of research studies have shown a positive effect of blended learning for teaching and learning. However, designing a successful blended learning course is still challenging for many academics in the higher education sector. A major design problem is selecting the most appropriate delivery methods to achieve the course outcomes. This study contributes to addressing this problem by: (i) identifying criteria that teachers should consider when selecting delivery methods for their blended learning courses; and (ii) rating the importance of each of these criteria. It employs a two-round online modified Delphi survey to achieve its aims.

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Alammary A, Carbone A, Sheard J. Blended learning in higher education: Delivery methods selection. In Ozturan M, Rossi M, Veit D, editors, 24th European Conference on Information Systems, ECIS 2016. Association for Information Systems. 2016