scholarly journals Developing adaptive learning management systems - An open IMS-based user modelling approach

2007 ◽  
Vol 2007 (1) ◽  
pp. 2 ◽  
Author(s):  
Jesus G. Boticario ◽  
Olga C. Santos
Keyword(s):  
Adaptive Learning ◽  
Learning Management Systems ◽  
User Modelling ◽  
Management Systems ◽  
Learning Management ◽  
Modelling Approach

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

Through the Looking Glass

2013 ◽  
pp. 446-465
Author(s):  
Phil Ice ◽  
Melissa Burgess
Keyword(s):  
Virtual Environments ◽  
Learning Environments ◽  
Adaptive Learning ◽  
Emerging Technologies ◽  
Learning Management Systems ◽  
Digital Publishing ◽  
Management Systems ◽  
On Demand ◽  
Learning Management ◽  
Looking Glass

This chapter explores how emerging technologies may challenge the CoI framework to evolve and account for new types of learner and instructor interactions. An exploration of processes inherent within the three presences is contextualized against the architecture of learning management systems, with attention given to those elements that are most likely to be impacted moving forward. As examples, innovations in digital publishing, multi-screen, multi-user virtual environments, on-demand education, adaptive learning environments and analytics are discussed, with a focus on how advancements in these areas may require rethinking and realignment of some aspects of the CoI framework.

scholarly journals From LMS to adaptive training systems

2019 ◽  
pp. 58-64 ◽  
Author(s):  
Y. B. Popova
Keyword(s):  
Learning Process ◽  
Adaptive Learning ◽  
Learning Management Systems ◽  
Individual Characteristics ◽  
Educational Process ◽  
Learning Systems ◽  
Learning System ◽  
Management Systems ◽  
Artificial Neural ◽  
Learning Management

The use of information technology and, in particular, learning management systems, increases the ability of both the teacher and the learner to achieve their goals in the educational process. Such systems provide educational content, help organize and monitor training, collect progress statistics, and can also take into account the individual characteristics of each user of the system. The purpose of this study is to determine the direction of development of modern learning systems and technologies for their implementation. The evolution of learning management systems, the transition to intelligent learning systems, the main stages of such systems were reviewed, the types of learning sequences were analyzed, the transformationinto adaptive learning systems was identified, and the scheme of the system and its mathematical model were presented. Expertise systems, the theory of fuzzy sets and fuzzy logic, cluster analysis, as well as genetic algorithms and artificial neural networks are defined as the mechanisms for implementing the learning systems. An artificial neural network in an adaptive learning system will allow you to create a unique training program that will build on existing knowledge and the level of perception of educational material by students. By formalizing the intellectual processes that both the teacher and the student carry out, it is possible to automate a certain part of the teacher’s functions, reduce the cost of manual labor, which will make it easier to monitor the learning process and also make the learning process more efficient.

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.

Readiness of Universities for 21st Century Digital Economies: Case of Selected Lecturers from Universities in Buffalo City Metropolitan in Eastern Cape Province South Africa

10.31355/42 ◽  
2019 ◽  
Vol 3 ◽  
pp. 065-077
Author(s):  
Agyei Fosu
Keyword(s):  
Higher Education ◽  
21St Century ◽  
Teaching And Learning ◽  
Learning Management Systems ◽  
Management Systems ◽  
Eastern Cape ◽  
Next Generation ◽  
Web Based ◽  
Web Based Learning ◽  
Learning Management

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose...................................................................................................................................................................................................... The purpose of this study is to expand the knowledge base on factors likely to impede implementation and adoption of web-based learning management systems to blend with traditional methods of lecturing in universities to cater for the next generation of learners in Africa and Eastern Cape Province South Africa in particular. Background........................................................................................................................................................................................................ The shift from the industrial economies to 21st century digital and knowledge-based economies, fueled by rapid Information and Communication Technologies (ICTs) such as Internet, YouTube, Chartrooms, Skype, Social media networks and its introduction to the educational system not only resulted in a new teaching approach globally but also paved way to usher in new generation of learners (anytime, anywhere learners) in the higher education system. Despite the fact that universities and other institutions of higher education in developed countries and some Africa countries have since recognized that the 21st century global digital and knowledge-based economies evolution has ushered in the next generation of learners, and as a result have taken the necessary steps to blend the traditional method of lecturing in higher education with web-based learning management systems in order to accommodate these learners. However, in Africa not much research have been done on the readiness of higher education institutions in terms of blending web-based learning management systems with the traditional method of lecturing to cater for the next generation of learners. Methodology....................................................................................................................................................................................................... Quantitative and two non-probability sampling methods, namely, quota and purposive sampling was used to investigate the technological skills of selected lecturers from universities within Buffalo City Metropolitan as one of the core component to check the readiness of their faculty for the next generation of learners. Contribution........................................................................................................................................................................................................ This research will add to the growing knowledge about the blending of web-based learning management with the traditional style of lecturing in higher education in the 21st century digital economies. Findings.............................................................................................................................................................................................................. The results indicated that the participating lecturers need to be trained and sup-ported in the skills of using of the ICTs and computer programs applicable to enhance web-based learning in teaching and learning environment in higher education in order to cater for the next generation of learners associated with the 21st century digital economies. Recommendations for Practitioners................................................................................................................................................................. Much as there is a need for increased in investment in infrastructure within higher education institutions to support teaching and learning, continuous sup-port and training for academics to be technologically literate and also be abreast on rapidly evolving field of ICTs is paramount as it can expedite the teaching and learning process in higher education. Recommendation for Researchers................................................................................................................................................................... There is the need to explore in depth the other two components suggested by Mishra and Koehler (2007) which can serve as barriers for successfully integration of technology into teaching and learning by locus of knowledge. Impact on Society............................................................................................................................................................................................... The research will assist stakeholders, policy makers and agencies tasked with transforming institutions of higher learning to identify the barriers likely to hinder transformation efforts and address them accordingly. Future Research................................................................................................................................................................................................. Conducting research on technological skills of students are critical in this context.

scholarly journals An analysis of users’ preferences on learning management systems: a case on German versus Spanish students

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Hasan Tinmaz ◽  
Jin Hwa Lee
Keyword(s):  
Information And Communication Technologies ◽  
Age Groups ◽  
Learning Management Systems ◽  
Content Management ◽  
Ease Of Use ◽  
Management Systems ◽  
Smart Learning ◽  
School Year ◽  
Design For All ◽  
Learning Management

Abstract The recent advancements in information and communication technologies have altered instructional contexts and re-shaped them into smart learning environments. One of the most common practices of these environments are learning management systems (LMS) where the learners and instructors utilize a software platform to fulfill, support and manage instructional activities around predefined objectives. Successful implementations of LMS have brought a variety on its usage from different cultures, genders, age groups or schooling levels. Hence, this study focuses on understanding the role of culture on LMS design, in along with the effects of gender, age and school year variables. The study participants were German (n = 83) and Spanish (n = 83) university students attending a fully online course offered by a South Korean university. At the end of the course, the students were asked to fulfill a survey on effective LMS design by pointing which features of LMS were more important for them. The survey included twenty questions on four major design factors; content management (six items), ease of use (five items), communication within LMS (four item) and screen design (five items). The dataset was analyzed by non-parametric statistical techniques around four variables on four dimensions (and their related survey questions). The most important result was insufficiency of one unique LMS design for all students which demonstrates the necessity of student demographics tailored smart systems. Additionally, age and gender variables were not making significant differences on LMS design as much as culture and school year variables. The study also revealed that while German students would appreciate goal-oriented individual learning, Spanish students would value process-oriented group learning with active communication. Furthermore, many features of LMS were highly valued by the freshman students more than other levels. The paper discusses these variables with possible explanations from the literature and depicts implementations for future design practices.

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