Predicting Academic Performance Based on Students’ Blog and Microblog Posts

Mihai Dascalu, Elvira Popescu, Alexandru Becheru, Scott Crossly, Stefan Trausan-Matu

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected from six student cohorts, from six consecutive installments of the Web Applications Design course, comprising of 343 students. A significant model was obtained by relying on the textual complexity and longitudinal analysis indices, applied on the English contributions of 148 students that were actively involved in the undertaken projects.
Original languageEnglish
Title of host publication11th European Conference on Technology Enhanced Learning (EC-TEL 2016)
Subtitle of host publicationAdaptive and Adaptable Learning
EditorsKatrien Verbert, Mike Sharples, Tomaž Klobucar
PublisherSpringer
Pages370-376
Volume9891
ISBN (Electronic) 978-3-319-45153-4
ISBN (Print)978-3-319-45152-7
DOIs
Publication statusPublished - 27 Sep 2016
Externally publishedYes
Event11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning - Lyon, France
Duration: 13 Sep 201616 Sep 2016
http://ectel2016.httc.de/index.php?id=753

Conference

Conference11th European Conference on Technology Enhanced Learning (EC-TEL 2016)
Abbreviated titleEC-TEL 2016
CountryFrance
CityLyon
Period13/09/1616/09/16
Internet address

Fingerprint

weblog
performance
student
scenario
learning

Keywords

  • social media
  • textual complexity assessment
  • longitudinal analysis
  • academic performance

Cite this

Dascalu, M., Popescu, E., Becheru, A., Crossly, S., & Trausan-Matu, S. (2016). Predicting Academic Performance Based on Students’ Blog and Microblog Posts. In K. Verbert, M. Sharples, & T. Klobucar (Eds.), 11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning (Vol. 9891, pp. 370-376). Springer. https://doi.org/10.1007/978-3-319-45153-4_29
Dascalu, Mihai ; Popescu, Elvira ; Becheru, Alexandru ; Crossly, Scott ; Trausan-Matu, Stefan. / Predicting Academic Performance Based on Students’ Blog and Microblog Posts. 11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning. editor / Katrien Verbert ; Mike Sharples ; Tomaž Klobucar. Vol. 9891 Springer, 2016. pp. 370-376
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Dascalu, M, Popescu, E, Becheru, A, Crossly, S & Trausan-Matu, S 2016, Predicting Academic Performance Based on Students’ Blog and Microblog Posts. in K Verbert, M Sharples & T Klobucar (eds), 11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning. vol. 9891, Springer, pp. 370-376, 11th European Conference on Technology Enhanced Learning (EC-TEL 2016), Lyon, France, 13/09/16. https://doi.org/10.1007/978-3-319-45153-4_29

Predicting Academic Performance Based on Students’ Blog and Microblog Posts. / Dascalu, Mihai ; Popescu, Elvira; Becheru, Alexandru; Crossly, Scott; Trausan-Matu, Stefan.

11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning. ed. / Katrien Verbert; Mike Sharples; Tomaž Klobucar. Vol. 9891 Springer, 2016. p. 370-376.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Dascalu M, Popescu E, Becheru A, Crossly S, Trausan-Matu S. Predicting Academic Performance Based on Students’ Blog and Microblog Posts. In Verbert K, Sharples M, Klobucar T, editors, 11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning. Vol. 9891. Springer. 2016. p. 370-376 https://doi.org/10.1007/978-3-319-45153-4_29