Cross-System validation of engagement prediction from log files

Mihaela Cocea; S. Weibelzahl

Cross-System validation of engagement prediction from log files

Mihaela Cocea
, S. Weibelzahl

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

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.

Original language	English
Title of host publication	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
Editors	E. Duval, R. Klamma, M. Wolpers
Publisher	Springer
Pages	14-25
Number of pages	12
Edition	4753
ISBN (Print)	9783540751946
Publication status	Published - 2007
Event	EC-TEL - Duration: 1 Jan 2007 → …

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Number	4753

Conference

Conference	EC-TEL
Period	1/01/07 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Access to Document

http://dx.doi.org/10.1007/978-3-540-75195-3_2

Disengagement detection in online learning environments
Haig, E. (PI) & Weibelzahl, S. (CoI)
2/01/06 → 30/09/07
Project: Research

Cite this

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

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).

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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",

address = "Netherlands",

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note = "EC-TEL ; Conference date: 01-01-2007",

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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>

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 proceeding › Chapter (peer-reviewed) › peer-review

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 -

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).

Cross-System validation of engagement prediction from log files

Abstract

Publication series

Conference

UN SDGs

Access to Document

Fingerprint

Projects

Disengagement detection in online learning environments

Cite this