%0 Book Section %1 abu_atif2016 %A AbuKhousa, Eman %A Atif, Yacine %B State-of-the-Art and Future Directions of Smart Learning %C Singapore %D 2016 %E Li, Yanyan %E Chang, Maiga %E Kravcik, Milos %E Popescu, Elvira %E Huang, Ronghuai %E Kinshuk, %E Chen, Nian-Shing %I Springer Singapore %K CoP %P 409--414 %R 10.1007/978-981-287-868-7_49 %T Virtual Social Spaces for Practice and Experience Sharing %U https://doi.org/10.1007/978-981-287-868-7_49 %X Higher education learners are increasingly seeking educational experiences that are directly relevant to their professional interests and aspiration, especially, while aiming at career success and employability. This creates the need for practice-oriented learning approaches that focus on workforce skills. In this paper, we propose virtual social space structures which cluster learners into communities of practice (CoPs) to complement academic pathways with career-specific competencies' development. Clustering employs social learning analytics (SLA) techniques to predict group together similar career-aspiration patterns into CoPs, and to subsequently track domain-related practice acquisitions. Our approach considers both personal preferences and career predispositions of learners as they join CoPs and thrive throughout CoPs life cycle. We discuss our three-module model: (1) career readiness to assert general professional dispositions, (2) career prediction to identify a targeted domain of employment, and (3) a career development process to raise the skills that are relevant to the predicted domain of employment. %@ 978-981-287-868-7

@inbook{abu_atif2016, abstract = {Higher education learners are increasingly seeking educational experiences that are directly relevant to their professional interests and aspiration, especially, while aiming at career success and employability. This creates the need for practice-oriented learning approaches that focus on workforce skills. In this paper, we propose virtual social space structures which cluster learners into communities of practice (CoPs) to complement academic pathways with career-specific competencies' development. Clustering employs social learning analytics (SLA) techniques to predict group together similar career-aspiration patterns into CoPs, and to subsequently track domain-related practice acquisitions. Our approach considers both personal preferences and career predispositions of learners as they join CoPs and thrive throughout CoPs life cycle. We discuss our three-module model: (1) career readiness to assert general professional dispositions, (2) career prediction to identify a targeted domain of employment, and (3) a career development process to raise the skills that are relevant to the predicted domain of employment.}, added-at = {2017-12-09T19:29:31.000+0100}, address = {Singapore}, author = {AbuKhousa, Eman and Atif, Yacine}, biburl = {https://www.bibsonomy.org/bibtex/25491cc72bb0990b1cd1a059f79d5137a/antje}, booktitle = {State-of-the-Art and Future Directions of Smart Learning}, doi = {10.1007/978-981-287-868-7_49}, editor = {Li, Yanyan and Chang, Maiga and Kravcik, Milos and Popescu, Elvira and Huang, Ronghuai and Kinshuk and Chen, Nian-Shing}, interhash = {fa811bf40548043e29955094609b6e41}, intrahash = {5491cc72bb0990b1cd1a059f79d5137a}, isbn = {978-981-287-868-7}, keywords = {CoP}, pages = {409--414}, publisher = {Springer Singapore}, timestamp = {2017-12-09T19:29:31.000+0100}, title = {Virtual Social Spaces for Practice and Experience Sharing}, url = {https://doi.org/10.1007/978-981-287-868-7_49}, year = 2016 }