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Analysing Learner Behaviour through Log-Files for Quality Assurance and Student Evaluation

Hauber, Ralf (2000):
Analysing Learner Behaviour through Log-Files for Quality Assurance and Student Evaluation.
In: In: European Journal of Open and Distance Learning, 2000, approx. 12 pages (HTML), ISSN 1027-5207, [Article]

Abstract

Learning environments provide extensive logging capabilities that document learner activities. Careful interpretation of these logs can be used for quality assurance and student evaluation. We present a logfile processor that reads Toolbook logfiles and collects data for determining “hot spots” (i.e. particularly good or bad spots) in a course or in learner behaviour. Hot spots show up as extreme values during the analysis; they are candidates to be looked at by instructional design experts. The logfile processor’s methods for data collection can be customised using an event mechanism. Its output — either flat ASCII or structured XML — is further analysed: We present exemplary diagrams based on logfiles from a sample course.

Item Type: Article
Erschienen: 2000
Creators: Hauber, Ralf
Title: Analysing Learner Behaviour through Log-Files for Quality Assurance and Student Evaluation
Language: German
Abstract:

Learning environments provide extensive logging capabilities that document learner activities. Careful interpretation of these logs can be used for quality assurance and student evaluation. We present a logfile processor that reads Toolbook logfiles and collects data for determining “hot spots” (i.e. particularly good or bad spots) in a course or in learner behaviour. Hot spots show up as extreme values during the analysis; they are candidates to be looked at by instructional design experts. The logfile processor’s methods for data collection can be customised using an event mechanism. Its output — either flat ASCII or structured XML — is further analysed: We present exemplary diagrams based on logfiles from a sample course.

Journal or Publication Title: In: European Journal of Open and Distance Learning, 2000, approx. 12 pages (HTML), ISSN 1027-5207
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Date Deposited: 31 Dec 2016 12:59
Identification Number: tk2430
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