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Cross-System validation of engagement prediction from log files

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Cross-System validation of engagement prediction from log files. / Cocea, Mihaela; Weibelzahl, S.

Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings. ed. / E. Duval; R. Klamma; M. Wolpers. 4753. ed. Springer, 2007. p. 14-25 (Lecture notes in computer science; No. 4753).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Cocea, M & Weibelzahl, S 2007, Cross-System validation of engagement prediction from log files. in E Duval, R Klamma & M Wolpers (eds), Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings. 4753 edn, Lecture notes in computer science, no. 4753, Springer, pp. 14-25, EC-TEL, 1/01/07. <http://dx.doi.org/10.1007/978-3-540-75195-3_2>

APA

Cocea, M., & Weibelzahl, S. (2007). Cross-System validation of engagement prediction from log files. In E. Duval, R. Klamma, & M. Wolpers (Eds.), Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings (4753 ed., pp. 14-25). (Lecture notes in computer science; No. 4753). Springer. http://dx.doi.org/10.1007/978-3-540-75195-3_2

Vancouver

Cocea M, Weibelzahl S. Cross-System validation of engagement prediction from log files. In Duval E, Klamma R, Wolpers M, editors, Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings. 4753 ed. Springer. 2007. p. 14-25. (Lecture notes in computer science; 4753).

Author

Cocea, Mihaela ; Weibelzahl, S. / Cross-System validation of engagement prediction from log files. Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings. editor / E. Duval ; R. Klamma ; M. Wolpers. 4753. ed. Springer, 2007. pp. 14-25 (Lecture notes in computer science; 4753).

Bibtex

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title = "Cross-System validation of engagement prediction from log files",
abstract = "Engagement is an important aspect of effective learning. Time spent using an e-Learning system is not quality time if the learner is not engaged. Tracking the student disengagement would give the possibility to intervene for motivating the learner at appropriate time. In previous research we showed the possibility to predict engagement from log files using a web-based e-Learning system. In this paper we present the results obtained from another web-based system and compare them to the previous ones. The similarity of results across systems demonstrates that our approach is system-independent and that engagement can be elicited from basic information logged by most e-Learning systems: number of pages read, time spent reading pages, number of tests/quizzes and time spent on test/quizzes.",
author = "Mihaela Cocea and S. Weibelzahl",
year = "2007",
language = "English",
isbn = "9783540751946",
series = "Lecture notes in computer science",
publisher = "Springer",
number = "4753",
pages = "14--25",
editor = "E. Duval and R. Klamma and M. Wolpers",
booktitle = "Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings",
edition = "4753",
note = "EC-TEL ; Conference date: 01-01-2007",

}

RIS

TY - CHAP

T1 - Cross-System validation of engagement prediction from log files

AU - Cocea, Mihaela

AU - Weibelzahl, S.

PY - 2007

Y1 - 2007

N2 - Engagement is an important aspect of effective learning. Time spent using an e-Learning system is not quality time if the learner is not engaged. Tracking the student disengagement would give the possibility to intervene for motivating the learner at appropriate time. In previous research we showed the possibility to predict engagement from log files using a web-based e-Learning system. In this paper we present the results obtained from another web-based system and compare them to the previous ones. The similarity of results across systems demonstrates that our approach is system-independent and that engagement can be elicited from basic information logged by most e-Learning systems: number of pages read, time spent reading pages, number of tests/quizzes and time spent on test/quizzes.

AB - Engagement is an important aspect of effective learning. Time spent using an e-Learning system is not quality time if the learner is not engaged. Tracking the student disengagement would give the possibility to intervene for motivating the learner at appropriate time. In previous research we showed the possibility to predict engagement from log files using a web-based e-Learning system. In this paper we present the results obtained from another web-based system and compare them to the previous ones. The similarity of results across systems demonstrates that our approach is system-independent and that engagement can be elicited from basic information logged by most e-Learning systems: number of pages read, time spent reading pages, number of tests/quizzes and time spent on test/quizzes.

M3 - Chapter (peer-reviewed)

SN - 9783540751946

T3 - Lecture notes in computer science

SP - 14

EP - 25

BT - Creating new learning experiences on a global scale: second European conference on technology enhanced learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007, proceedings

A2 - Duval, E.

A2 - Klamma, R.

A2 - Wolpers, M.

PB - Springer

T2 - EC-TEL

Y2 - 1 January 2007

ER -

ID: 223291