TU Darmstadt / ULB / TUbiblio

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.
Conference or Workshop Item, Bibliographie

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: Conference or Workshop Item
Erschienen: 2000
Creators: Hauber, Ralf
Type of entry: Bibliographie
Title: Analysing Learner Behaviour through Log-Files for Quality Assurance and Student Evaluation
Language: German
Date: 2000
Book Title: In: Third International Workshop on Interactive Computer aided Learning - Applications and Experiences (ICL), Villach, Austria, September 28-29, ISBN 3-933146-43-7
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.

Identification Number: tk2450
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Date Deposited: 31 Dec 2016 12:59
Last Modified: 03 Jun 2018 21:30
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details