Modelling and Managing Learner Satisfaction: Use of Learner Feedback to Enhance Blended and Online Learning Experience-Reference-Cited by-同舟云学术

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Modelling and Managing Learner Satisfaction: Use of Learner Feedback to Enhance Blended and Online Learning Experience

Published:2016-04 Issue:2 Volume:14 Page:216-242
ISSN:1540-4595
Container-title:Decision Sciences Journal of Innovative Education
language:en
Short-container-title:Decision Sciences Journal of Innovative Education

Author:

Li Nai¹,Marsh Vicky¹,Rienties Bart¹

Affiliation:

1. Institute of Educational Technology; Open University UK; Jennie Lee Building MK76AA Milton Keynes UK

Funder

Quality Assurance Agency for Higher Education (QAA)

Open University UK

Publisher

Wiley

Subject

Decision Sciences (miscellaneous),Education,Business, Management and Accounting (miscellaneous)

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/dsji.12096/fullpdf

Reference43 articles.

1. System, scholar, or students? Which most influences online MBA course effectiveness?;Arbaugh;Journal of Computer Assisted Learning,2014

2. Technological and structural characteristics, student learning and satisfaction with web-based courses: an exploratory study of two on-line MBA programs;Arbaugh;Management Learning,2002

3. National student feedback surveys in distance education: an investigation at the UK Open University;Ashby;Open Learning,2011

4. Guarding against potential bias in student evaluations: what every faculty member needs to know;Baldwin;College Teaching,2003

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1. Development and validation of the online learner satisfaction instrument;Educational technology research and development;2024-06-05

2. The roles of online courses’ design and evaluation in nursing student satisfaction with online learning;E-Learning and Digital Media;2024-03-15

3. Examining the Digital Divide in Online Learning During the Covid-19 Pandemic: Evidence from Undergraduates at 28 Research Universities;2024

4. Novel Machine Learning Approach for an Adaptive Learning System Based on Learner Performance;Lecture Notes in Networks and Systems;2024

5. Prediction of Learner Performance Based on Self-esteem Using Machine Learning Techniques: Comparative Analysis;Lecture Notes in Networks and Systems;2024

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