Mining the log files of Moodle: towards Moodle analytics
Authors: Kytagias, Christos 
Psaromiligkos, Ioannis (Yannis) 
Liomas, Ioannis 
Livanis, T. 
Dimakos, George 
Issue Date: 1-Sep-2015
Conference: eRA – 10 International Scientific Conference, The SynEnergy Forum, 23- 25 September 2015, Piraeus, Greece 
Abstract: 
The process of obtaining feedback in e-learning courses constitutes a critical task not only during the implementation of the course (formative feedback) but also during its final assessment (summative feedback) and its redesign. The educator needs specialized tools that can provide smart reports about the use and the exploitation of the various educational resources and activities that the learning environment monitors. In this paper we present a tool that we have developed in Moodle, one of the most popular Learning Management Systems, which provides the ability to display for a particular course various usage statistics either by user or by group. In particular, the user-educator can form a well focused statistical report regarding: different types of learning activities and resources in specified time periods. The statistics are equipped with suitable graphics helping further the teacher to monitor the course progress.
URI: https://uniwacris.uniwa.gr/handle/3000/1662
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια

CORE Recommender
Show full item record

Page view(s)

22
checked on Dec 22, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.