Data Mining User Activity in Free and Open Source Software (FOSS)/ Open Learning Management Systems

2010 ◽  
Vol 2 (1) ◽  
pp. 65-75
Author(s):  
Owen McGrath
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Software ◽  
Adaptive Learning ◽  
Educational Data Mining ◽  
Learning Management Systems ◽  
Management Systems ◽  
Open Learning ◽  
User Activity ◽  
Learning Management

Free and Open Source Software (FOSS)/Open Educational Systems development projects abound in higher education today. Many universities worldwide have adopted open source software like ATutor and Moodle as an alternative to commercial or homegrown systems. The move to open source learning management systems entails many special considerations, including usage analysis facilities. The tracking of users and their activities poses major technical and analytical challenges within web-based systems. This paper examines how user activity tracking challenges are met with data mining techniques, particularly web usage mining methods, in four different open learning management systems: ATutor, LON-CAPA, Moodle, and Sakai. As examples of data mining technologies adapted within widely used systems, they represent important first steps for moving educational data mining outside the research laboratory. Moreover, as examples of different open source development contexts, exemplify the potential for programmatic integration of data mining technology processes in the future. As open systems mature in the use of educational data mining, they move closer to the long-sought goal of achieving more interactive, personalized, adaptive learning environments online on a broad scale.

Data Mining User Activity in Free and Open Source Software (FOSS)/ Open Learning Management Systems

2011 ◽  
pp. 120-131
Author(s):  
Owen McGrath
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Software ◽  
Educational Data Mining ◽  
Learning Management Systems ◽  
Management Systems ◽  
Open Learning ◽  
User Activity ◽  
Learning Management ◽  
Usage Analysis

Free and Open Source Software (FOSS)/Open Educational Systems development projects abound in higher education today. Many universities worldwide have adopted open source software like ATutor and Moodle as an alternative to commercial or homegrown systems. The move to open source learning management systems entails many special considerations, including usage analysis facilities. The tracking of users and their activities poses major technical and analytical challenges within web-based systems. This paper examines how user activity tracking challenges are met with data mining techniques, particularly web usage mining methods, in four different open learning management systems: ATutor, LON-CAPA, Moodle, and Sakai. As examples of data mining technologies adapted within widely used systems, they represent important first steps for moving educational data mining outside the research laboratory. Moreover, as examples of different open source development contexts, exemplify the potential for programmatic integration of data mining technology processes in the future. As open systems mature in the use of educational data mining, they move closer to the long-sought goal of achieving more interactive, personalized, adaptive learning environments online on a broad scale.

Role of Indian Print and Digital Media in Learning Analytics

2022 ◽  
pp. 199-218
Author(s):  
Chandana Aditya
Keyword(s):  
Data Mining ◽  
Digital Media ◽  
News Media ◽  
Learning Analytics ◽  
Educational Data Mining ◽  
Learning Management Systems ◽  
Educational Programs ◽  
Mass Scale ◽  
Management Systems ◽  
Learning Management

There is a pressing need for data management and learning management systems. Educational data mining and learning analytics are two related aspects of educational technology that promote an overall effective teaching-learning system. The news media has the potential to act as a tool of learning analytics since they can easily access information at a mass scale. There are instances of leading newspapers organizing different educational programs where students from all the social layers have an opportunity to participate. A review of the programs reveals that all the programs collect and analyze educational data, which can form a research base of learning analytics. This chapter presents the description of three such educational programs organized by the leading media houses of India. This chapter also reflects on the contribution to learning management systems and educational data mining for the improvement of the overall educational system.

scholarly journals On the need for open teaching on the JamStack

2021 ◽  
Author(s):  
William Billingsley
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Learning Management Systems ◽  
Management Systems ◽  
Course Materials ◽  
Software Documentation ◽  
The Subject ◽  
Learning Management

Typical university Learning Management Systems (LMSs) place an enrolment paywall between students and the content within a unit. This has the effect not only of preventing access from potential students, but also of locking past students out from accessing updated materials as the subject develops over subsequent years to their enrolment. In this and many regards, the mechanisms by which academics can produce and publish content face limitations that open source software documentation sites do not. This provocation paper describes some of these limitations and gives an overview of the JamStack – common techniques that have developed within the software development community that allow convenient self-publishing of sites and materials. The paper then gives a brief introduction to Doctacular: a course-oriented static site generator that is under development (but already used for two live sites) to bring JamStack-style publishing to academic course materials.

GRAPPLE: Learning Management Systems Meet Adaptive Learning Environments

2013 ◽  
pp. 133-160 ◽  
Author(s):  
Paul De Bra ◽  
David Smits ◽  
Kees van der Sluijs ◽  
Alexandra I. Cristea ◽  
Jonathan Foss ◽  
...  
Keyword(s):  
Learning Environments ◽  
Adaptive Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Learning Management
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