SN‐Learning: An exploratory study beyond e‐learning and evaluation of its applications using EV‐SNL framework.
Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between studen...
| Publicado en: | Journal of Computer Assisted Learning Vol. 35; no. 2; pp. 168 - 178 |
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| Autores principales: | , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135292589&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135292589 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2019 vid: 35 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 135292589 135292589 135292589 10.1111/jcal.12330 135292589 ppf: 168 ppct: 10 formats: tig: atl: SN‐Learning: An exploratory study beyond e‐learning and evaluation of its applications using EV‐SNL framework. aug: au: Krouska, Akrivi Troussas, Christos Virvou, Maria affil: Software Engineering Laboratory, Department of Informatics, University of Piraeus, Piraeus Greece sug: subj: Education, Non-Traditional Evaluation Learning Methods Social Networks Educational Technology Diffusion of Innovation Teaching Methods Communication Collaboration Faculty-Student Relations Artificial Intelligence Literature Review Mentorship Comparative Studies Computer-Assisted Instruction ab: Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e‐learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e‐learning is the threshold of Social Networking‐based Learning (SN‐Learning). SN‐Learning consists of a new term, introduced in this paper, and involves e‐learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV‐SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN‐Learning systems focus mainly on the incorporation of social features and do not provide yet personalized and adaptive tutoring. This research provides guidelines to computer science researchers on the design and implementation of SN‐Learning platforms using artificial intelligence and modelling techniques. Moreover, it can support teachers of different fields so that they can enhance their instruction with new technologies. There is scope for a lot of improvement. Lay Description: What is currently known about the subject matter: The vast majority of Internet users uses social networks.Social networks offer a fertile ground for research.Social networks are adopted in education. What the paper adds: Introduction of SN‐Learning as a new trend of digital learning.Review of literature using a methodological framework tailored to SN‐Learning.Guideline for CAL incorporating pedagogical and social features. The implications of study findings: SN‐Learning provides mainly communication and collaboration features.SN‐Learning does not yet emphasize on adaptive and personalized learning.The incorporation of pedagogical theories can enhance SN‐Learning. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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