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Sökning: (id:"swepub:oai:DiVA.org:lnu-67463") > An Analysis of Lear...

An Analysis of Learner Experience with MOOCs in Mobile and Desktop Learning Environment

Dalipi, Fisnik (författare)
Norwegian University of Science and Technology (NTNU), Norway
Imran, Ali Shariq (författare)
University of Science and Technology (NTNU), Norway
Idrizi, Florim (författare)
Tetovo University, Macedonia
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Aliu, Hesat (författare)
Tetovo University, Macedonia
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 (creator_code:org_t)
2016-07-27
2017
Engelska.
Ingår i: Learning and Collaboration Technologies. LCT 2016. - Orlando, USA : Springer. - 9783319394824 - 9783319394831 ; , s. 393-402
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • Massive Open Online Courses (MOOCs) are now the most recent topic within the field of e-learning. They have the potential to influence the higher education environments significantly worldwide by creating a completely new and large market of educational resources by overpassing the traditional universities market share due to their physical limitations. However, due to the many differences between mobile devices and desktop environments, the introduction of mobile technology in MOOC environment is challenging. Hence, the main objective of this paper is to study and compare the learner’s experience in different learning environments by using mobile devices and PCs while performing given tasks related to MOOCs. To achieve this goal, we conduct a subjective experiment with various MOOCs related tasks to be performed in mobile and desktop learning environment. The results of the findings show that the difficulties learners have experienced in the mobile environment are more expressed. Moreover, their satisfactory level is much higher in the desktop environment.

Ämnesord

SAMHÄLLSVETENSKAP  -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
SOCIAL SCIENCES  -- Media and Communications -- Information Systems, Social aspects (hsv//eng)

Nyckelord

Computer Science
Datavetenskap

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