Predicting Academic Performance Based on Students’ Blog and Microblog Posts

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

doi:10.1007/978-3-319-45153-4_29

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 proceeding › Conference Article in proceeding › Academic › peer-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 language	English
Title of host publication	11th European Conference on Technology Enhanced Learning (EC-TEL 2016)
Subtitle of host publication	Adaptive and Adaptable Learning
Editors	Katrien Verbert, Mike Sharples, Tomaž Klobucar
Publisher	Springer
Pages	370-376
Volume	9891
ISBN (Electronic)	978-3-319-45153-4
ISBN (Print)	978-3-319-45152-7
DOIs	https://doi.org/10.1007/978-3-319-45153-4_29
Publication status	Published - 27 Sept 2016
Externally published	Yes
Event	11th European Conference on Technology Enhanced Learning (EC-TEL 2016): Adaptive and Adaptable Learning - Lyon, France Duration: 13 Sept 2016 → 16 Sept 2016 http://ectel2016.httc.de/index.php?id=753

Conference

Conference	11th European Conference on Technology Enhanced Learning (EC-TEL 2016)
Abbreviated title	EC-TEL 2016
Country/Territory	France
City	Lyon
Period	13/09/16 → 16/09/16
Internet address	http://ectel2016.httc.de/index.php?id=753

Keywords

social media
textual complexity assessment
longitudinal analysis
academic performance

Access to Document

10.1007/978-3-319-45153-4_29

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Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

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

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abstract = "This study investigates the degree to which textual complexity indices applied on students{\textquoteright} 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.",

keywords = "social media, textual complexity assessment, longitudinal analysis, academic performance",

author = "Mihai Dascalu and Elvira Popescu and Alexandru Becheru and Scott Crossly and Stefan Trausan-Matu",

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day = "27",

doi = "10.1007/978-3-319-45153-4_29",

language = "English",

isbn = "978-3-319-45152-7",

volume = "9891",

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editor = "Verbert, {Katrien } and Sharples, {Mike } and Klobucar, {Toma{\v z} }",

booktitle = "11th European Conference on Technology Enhanced Learning (EC-TEL 2016)",

publisher = "Springer",

note = "11th European Conference on Technology Enhanced Learning (EC-TEL 2016) : Adaptive and Adaptable Learning, EC-TEL 2016 ; Conference date: 13-09-2016 Through 16-09-2016",

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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 et al.
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 proceeding › Conference Article in proceeding › Academic › peer-review

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AB - 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.

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U2 - 10.1007/978-3-319-45153-4_29

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Predicting Academic Performance Based on Students’ Blog and Microblog Posts

Abstract

Conference

Keywords

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Rage: Realising an Applied Gaming Eco-system

Cite this