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Exploring the E-lea...
Exploring the E-learning State of Art : A Holistic Evaluation
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- Kahiigi Kigozi, Evelyn, 1974- (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Ekenberg, Love (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Danielson, Mats (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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visa fler...
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- Hansson, Henrik (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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visa färre...
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(creator_code:org_t)
- Reading : Academic Conferences Limited, 2007
- 2007
- Engelska.
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Ingår i: Proceedings of ECEL 2007. - Reading : Academic Conferences Limited. - 9781905305575 ; , s. 349-355
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- e-Learning implementation is a work in progress that continues to evolve with time and further research. Researchers in the field still argue that e-Learning is still in its infancy stage resulting into numerous implementation strategies across a wide e-Learning spectrum, a scope that requires identification and understanding. This paper explores e-Learning state of art in higher education. It provides a general overview of the learning process, evaluates the current e-Learning implementation trends eliciting a range of frameworks and strategies in the past decade. This is followed by an identification of current implementation challenges and emerging issues. According to our findings, applying social presence factors of communication, interactivity and feedback at all levels of the e-Learning the implementation process can create a successful e-Learning experience for diverse learners.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- e-Learning
- e-Learning implementation
- higher education
- e-Learning evolution
- ubiquitous learning
- Computer and systems science
- Data- och systemvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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