What are the key themes associated with the positive learning experience in MOOCs? An empirical investigation of learners’ ratings and reviews

被引:0
作者
Ruiqi Deng
Pierre Benckendorff
机构
[1] Hangzhou Normal University,Department of Educational Technology, School of Education
[2] The University of Queensland,UQ Business School
来源
International Journal of Educational Technology in Higher Education | / 18卷
关键词
Massive open online courses (MOOCs); Learning experience; Student ratings; Student reviews; Perceived quality of instruction; Text mining;
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摘要
Past MOOC research has tended to focus on learning outcomes valued in traditional higher education settings, such as achievement and retention. This study recognises that student ratings are an important alternative outcome measure in MOOCs. This paper adopted a semiautomatic text mining approach to collect and analyse 8475 ratings and reviews submitted for 1794 MOOCs. The analysis revealed six important themes that contributed to positive ratings: ‘learning’, ‘understanding’, ‘interesting’, ‘videos’, ‘recommend’, and ‘questions’. The paper then investigated the characteristics of each identified theme based on the proximity of themes, distribution of concepts within themes, and important connections. Based on research findings, the paper presents the following propositions to assist educators and providers to enhance the learning experience in MOOCs: (1) provide realistic learning contexts and instructional conditions in MOOCs to facilitate the acquisition of knowledge that transfers more readily to real-world practices; (2) carefully design the instructional conditions so that some mental challenge and stimulation is required for learners to achieve a full understanding of the content, rather than making MOOCs too simple or effortless to complete; (3) design the course content, materials, and communications to generate interest; (4) allocate sufficient resources to create high-quality video lectures; (5) employ video lectures to elicit positive emotions from MOOC learners and simplify complex, difficult concepts; and (6) incorporate discussion boards in MOOCs and invest in human and digital resources to address learners’ queries.
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  • [31] Jones CA(2016)MOOCs and persistence: Definitions and predictors New Directions for Institutional Research 2015 69-85
  • [32] Burdsal PD(2018)So how big is big? Investigating the impact of class size on ratings in student evaluation Assessment & Evaluation in Higher Education 43 175-184
  • [33] Harrison M(2007)Students’ perceptions of teaching quality in higher education: the perspective of currently enrolled students Studies in Higher Education 32 603-615
  • [34] Carlozzi WE(2016)Evaluate to improve: Useful approaches to student evaluation Assessment & Evaluation in Higher Education 41 1-14
  • [35] Cashin RG(2013)Student voice: using qualitative feedback from students to enhance their university experience Teaching in Higher Education 18 606-618
  • [36] Downey D(2015)MOOC & b-learning: Students' barriers and satisfaction in formal and non-formal learning environments Journal of Interactive Online Learning 13 88-111
  • [37] Caspersz D(2018)Physical classroom environment and student satisfaction with courses Assessment & Evaluation in Higher Education 43 110-125
  • [38] Olaru CJ(1991)Dimensions of satisfaction with college education Assessment & Evaluation in Higher Education 16 95-107
  • [39] Chen VS(2015)Cross-check for completeness: Exploring a novel use of Leximancer in a grounded theory study The Qualitative Report 20 1029-1045
  • [40] Wong CS(2005)The dea(r)th of student responsibility College Teaching 53 2-13