Abstract
In smart learning ecosystems, online communities act as informal learning environments in which members share their interests, challenges, and knowledge on a specific topic. The life span of such communities depends on sociability and usability, and therefore also on the addition and successful integration of newcomers. This study focuses on the automated classification of blog communities into integrative and non-integrative based on features derived from time series analyses applied to the distribution of contributions in time and of participants’ pauses within the community. The generated features can be used to support learners with insights on which communities should be targeted in order to maximize their chance of integration. Our study is focused on 20 communities which were classified with an 85% accuracy into integrative and non-integrative. For educational research, our findings provide a starting point to follow up investigations on the impact of pauses in learning processes or learners’ behavior.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Scardamalia, M., Breiter, C.: Knowledge building: theory, pedagogy and technology. In: Sawyer, K. (ed.) Cambridge Handbook of the Learning Sciences, pp. 97–118. Cambridge University Press, New York (2006)
Preece, J.: Sociability and usability in on-line communities: determining and measuring success. Behav. Inf. Technol. 20(5), 347–356 (2001)
Levine, J.M., Moreland, R.L.: Knowledge transmission in work groups: helping newcomers to succeed. In: Levine, J.M., Thompson, L.L., Messick, D.M. (eds.) Series in Organization and Management. Shared Cognition in Organizations. The Management of Knowledge, pp. 267–296 (1999)
Nistor, N., Dascălu, M., Stavarache, L.L., Serafin, Y., Trăușan-Matu, Ș.: Informal learning in online knowledge communities: predicting community response to visitor inquiries. In: Proceedings of EC-TEL 2015, Toledo, Spain, pp. 447–452. Springer, New York (2015)
Nistor, N., Dascălu, M., Serafin, Y., Trăușan-Matu, S.: Automated dialog analysis to predict blogger community response to newcomer inquiries. Comput. Hum. Behav. 89, 349–354 (2018). https://doi.org/10.1016/j.chb.2018.08.034
Eberle, J., Stegmann, K., Fischer, F.: Legitimate peripheral participation in communities of practice: participation support structures for newcomers in faculty student councils. J. Learn. Sci. 23(2), 216–244 (2014)
Dascalu, M., Trausan-Matu, S., McNamara, D.S., Dessus, P.: ReaderBench—automated evaluation of collaboration based on cohesion and dialogism. Int. J. Comput. Support. Collab. Learn. 10(4), 395–432 (2015)
Kalman, Y.M., Rafaeli, S.: Online pauses and silence: chronemic expectancy violations in written computer-mediated communication. Commun. Res. 38, 54–69 (2011)
Walther, J.B.: Interpersonal effects in computer-mediated interaction: a relational perspective. Commun. Res. 19(1), 52–90 (1992)
Pasov, I., Dascalu, M., Nistor, N., Trausan-Matu, S.: Automated prediction of student participation in collaborative dialogs using time series analyses. In: 3rd International Conference on Smart Learning Ecosystems and Regional Development (2018)
Acknowledgements
This work was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI–UEFISCDI, project number PN-III-P1-1.2-PCCDI-2017-0689/“Lib2Life-Revitalizarea bibliotecilor si a patrimoniului cultural prin tehnologii avansate”/“Revitalizing Libraries and Cultural Heritage through Advanced Technologies”, within PNCDI III.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pasov, I., Dascalu, M., Nistor, N., Trausan-Matu, S. (2020). Prediction of Newcomer Integration in Online Knowledge Building Communities Using Time Series Analyses. In: Rehm, M., Saldien, J., Manca, S. (eds) Project and Design Literacy as Cornerstones of Smart Education. Smart Innovation, Systems and Technologies, vol 158. Springer, Singapore. https://doi.org/10.1007/978-981-13-9652-6_14
Download citation
DOI: https://doi.org/10.1007/978-981-13-9652-6_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9651-9
Online ISBN: 978-981-13-9652-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)