In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students. In this research work, different data mining classification models are applied to analyse and predict students’ feedback based on their Moodle usage data. The models described in this paper surely assist the educators, decision maker, mentors to early engage with the issues as address by students. In this research, real data from a semester has been experimented and evaluated. To achieve the better classification models, discretization and weight adjustment techniques have also been applied as part of the pre – processing steps. Finally, we conclude that for efficient decision making with the student’s feedback the classifier model must be appropriate in terms of accuracy and other important evaluation measures. Our experiments also shows that by using weight adjustment techniques like information gain and support vector machines improves the performance of classification models.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the
benefits of the students.
The e-learning contained many educational resources are generally used in learning systems like Moodle, It’s free open source software packages designed and flexible platform to create Learning Objects (LOs) and users’ accounts. The author demonstrates how to use semantic web technologies to improve online learning environments and bridge the gap between learners and LOs. The ontological construction presented here helps formalize LOs context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse between learner and LOs. On top of this construction, the author implemented several feedback channels for educators to improve the delivery of future Web-based learning. The particular aim of this paper was to provide a solution based in the Moodle Platform. The main idea behind the approach presented here is that ontology which can not only be useful as a learning instrument but it can also be employed to assess students’ skills. For it, each student is prompted to express his/her beliefs by building own discipline-related ontology through an application displayed in the interface of Moodle. This paper presents the ontology for an e-Learning System, which arranges metadata, and defines the relationships of metadata, which are about learning objects; belong to academic courses and user profiles. This ontology has been incorporated as a critical part of the proposed architecture. By this ontology, effective retrieval of learning content, customizing Learning Management System (LMS) is expected. Metadata used in this paper are based on current metadata standards. This ontology specified in human and machine-readable formats. In implementing it, several APIs were defined to manage the ontology. They were introduced into a typical LMS such as Moodle. Proposed ontology maps user preferences with learning content to satisfy learner requirements. These learning objects are presented to the learner based on ontological relationships. Hence it increases the usability and customizes the LMS. In conclusion, ontologies have a range of potential benefits and applications in further and higher education, including the sharing of information across e-learning systems, providing frameworks for learning object reuse, and enabling information between learner and system parts.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students. In this research work, different data mining classification models are applied to analyse and predict students’ feedback based on their Moodle usage data. The models described in this paper surely assist the educators, decision maker, mentors to early engage with the issues as address by students. In this research, real data from a semester has been experimented and evaluated. To achieve the better classification models, discretization and weight adjustment techniques have also been applied as part of the pre – processing steps. Finally, we conclude that for efficient decision making with the student’s feedback the classifier model must be appropriate in terms of accuracy and other important evaluation measures. Our experiments also shows that by using weight adjustment techniques like information gain and support vector machines improves the performance of classification models.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the
benefits of the students.
The e-learning contained many educational resources are generally used in learning systems like Moodle, It’s free open source software packages designed and flexible platform to create Learning Objects (LOs) and users’ accounts. The author demonstrates how to use semantic web technologies to improve online learning environments and bridge the gap between learners and LOs. The ontological construction presented here helps formalize LOs context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse between learner and LOs. On top of this construction, the author implemented several feedback channels for educators to improve the delivery of future Web-based learning. The particular aim of this paper was to provide a solution based in the Moodle Platform. The main idea behind the approach presented here is that ontology which can not only be useful as a learning instrument but it can also be employed to assess students’ skills. For it, each student is prompted to express his/her beliefs by building own discipline-related ontology through an application displayed in the interface of Moodle. This paper presents the ontology for an e-Learning System, which arranges metadata, and defines the relationships of metadata, which are about learning objects; belong to academic courses and user profiles. This ontology has been incorporated as a critical part of the proposed architecture. By this ontology, effective retrieval of learning content, customizing Learning Management System (LMS) is expected. Metadata used in this paper are based on current metadata standards. This ontology specified in human and machine-readable formats. In implementing it, several APIs were defined to manage the ontology. They were introduced into a typical LMS such as Moodle. Proposed ontology maps user preferences with learning content to satisfy learner requirements. These learning objects are presented to the learner based on ontological relationships. Hence it increases the usability and customizes the LMS. In conclusion, ontologies have a range of potential benefits and applications in further and higher education, including the sharing of information across e-learning systems, providing frameworks for learning object reuse, and enabling information between learner and system parts.
On the way towards Personal Learning Environments: Seven crucial aspectseLearning Papers
Authors: Sandra Schaffert, Wolf Hilzensauer.
The practice of learning and teaching is not pre-determined, but always related to the tools and systems used in the process. The development and rising success of social software applications such as weblogs and wikis and so-called Personal Learning Environments (PLE) changes, enables and challenges learning with the Internet.
Although of the semantic web technologies utilization in the learning development field is a new research area, some authors have already proposed their idea of how an effective that operate. Specifically, from analysis of the literature in the field, we have identified three different types of existing applications that actually employ these technologies to support learning. These applications aim at: Enhancing the learning objects reusability by linking them to an ontological description of the domain, or, more generally, describe relevant dimension of the learning process in an ontology, then; providing a comprehensive authoring system to retrieve and organize web material into a learning course, and constructing advanced strategies to present annotated resources to the user, in the form of browsing facilities, narrative generation and final rendering of a course. On difference with the approaches cited above, here we propose an approach that is modeled on narrative studies and on their transposition in the digital world. In the rest of the paper, we present the theoretical basis that inspires this approach, and show some examples that are guiding our implementation and testing of these ideas within e-learning. By emerging the idea of the ontologies are recognized as the most important component in achieving semantic interoperability of e-learning resources. The benefits of their use have already been recognized in the learning technology community. In order to better define different aspects of ontology applications in e-learning, researchers have given several classifications of ontologies. We refer to a general one given in that differentiates between three dimensions ontologies can describe: content, context, and structure. Most of the present research has been dedicated to the first group of ontologies. A well-known example of such an ontology is based on the ACM Computer Classification System (ACM CCS) and defined by Resource Description Framework Schema (RDFS). It’s used in the MOODLE to classify learning objects with a goal to improve searching. The chapter will cover the terms of the semantic web and e-learning systems design and management in e-learning (MOODLE) and some of studies depend on e-learning and semantic web, thus the tools will be used in this paper, and lastly we shall discuss the expected contribution. The special attention will be putted on the above topics.
LearnIT: Technology Trends in Education (5/14/13)Kristen T
See Wiki with resources:
http://techtrendsineducation.wikispaces.com/home
Slides used during talk given at Fordham University:
In a world where technology is changing faster than ever it's important not to just keep up with what's currently available, but to be thinking ahead. The New Media Consortium just released their 2013 Horizon Project Short List report that includes 12 coming technology trends in higher education. During the LearnIT, we discussed 6 of the top trends (additional slides to follow).
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
Focuses on the Postgraduates' (Gen X) acceptance of Blackboard as an Online Teaching and Learning Platform before Online Teaching and Leaning became the Norm
Neural Network Model for Predicting Students' Achievement in Blended Courses ...ijaia
Educator’s knowledge about the likely students’ achievement in blended courses prior to sitting for
examinations provides room for early intervention on students’ learning process, especially to those at risk.
Unfortunately, Leaning Management Systems (LMSs), Moodle in particular lacks an environment to assist
educators access such knowledge from time to time before undertaking their examinations. This raised the
need to propose a model, of which from time to time would be providing the likely students’ achievement
based on activities in Moodle and previous achievement, taking a case of postgraduate programmes at the
University of Dar es Salaam.
This study applied artificial neural networks in building a prediction model. Simulations were conducted in
Matrix Laboratory (MATLAB) utilizing seventy eight instances (78) of students’ logs of three blended
courses extracted from Moodle for 2013/2014 and 2014/2015 academic years.
Mean Square Error (MSE) and Coefficient of Determination (R
2
) performance metrics were used to find
the best prediction model considering ten possible models. The study revealed a model with architecture of
4:10:1 trained with Bayesian Regularization (BR) to be the best model resulting to least MSE of 0.0170 and
high R
2
of 0.93 on training. During testing, the model successfully predicted 78% of the students’
achievement with risk and pass status.
On the way towards Personal Learning Environments: Seven crucial aspectseLearning Papers
Authors: Sandra Schaffert, Wolf Hilzensauer.
The practice of learning and teaching is not pre-determined, but always related to the tools and systems used in the process. The development and rising success of social software applications such as weblogs and wikis and so-called Personal Learning Environments (PLE) changes, enables and challenges learning with the Internet.
Although of the semantic web technologies utilization in the learning development field is a new research area, some authors have already proposed their idea of how an effective that operate. Specifically, from analysis of the literature in the field, we have identified three different types of existing applications that actually employ these technologies to support learning. These applications aim at: Enhancing the learning objects reusability by linking them to an ontological description of the domain, or, more generally, describe relevant dimension of the learning process in an ontology, then; providing a comprehensive authoring system to retrieve and organize web material into a learning course, and constructing advanced strategies to present annotated resources to the user, in the form of browsing facilities, narrative generation and final rendering of a course. On difference with the approaches cited above, here we propose an approach that is modeled on narrative studies and on their transposition in the digital world. In the rest of the paper, we present the theoretical basis that inspires this approach, and show some examples that are guiding our implementation and testing of these ideas within e-learning. By emerging the idea of the ontologies are recognized as the most important component in achieving semantic interoperability of e-learning resources. The benefits of their use have already been recognized in the learning technology community. In order to better define different aspects of ontology applications in e-learning, researchers have given several classifications of ontologies. We refer to a general one given in that differentiates between three dimensions ontologies can describe: content, context, and structure. Most of the present research has been dedicated to the first group of ontologies. A well-known example of such an ontology is based on the ACM Computer Classification System (ACM CCS) and defined by Resource Description Framework Schema (RDFS). It’s used in the MOODLE to classify learning objects with a goal to improve searching. The chapter will cover the terms of the semantic web and e-learning systems design and management in e-learning (MOODLE) and some of studies depend on e-learning and semantic web, thus the tools will be used in this paper, and lastly we shall discuss the expected contribution. The special attention will be putted on the above topics.
LearnIT: Technology Trends in Education (5/14/13)Kristen T
See Wiki with resources:
http://techtrendsineducation.wikispaces.com/home
Slides used during talk given at Fordham University:
In a world where technology is changing faster than ever it's important not to just keep up with what's currently available, but to be thinking ahead. The New Media Consortium just released their 2013 Horizon Project Short List report that includes 12 coming technology trends in higher education. During the LearnIT, we discussed 6 of the top trends (additional slides to follow).
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
Focuses on the Postgraduates' (Gen X) acceptance of Blackboard as an Online Teaching and Learning Platform before Online Teaching and Leaning became the Norm
Neural Network Model for Predicting Students' Achievement in Blended Courses ...ijaia
Educator’s knowledge about the likely students’ achievement in blended courses prior to sitting for
examinations provides room for early intervention on students’ learning process, especially to those at risk.
Unfortunately, Leaning Management Systems (LMSs), Moodle in particular lacks an environment to assist
educators access such knowledge from time to time before undertaking their examinations. This raised the
need to propose a model, of which from time to time would be providing the likely students’ achievement
based on activities in Moodle and previous achievement, taking a case of postgraduate programmes at the
University of Dar es Salaam.
This study applied artificial neural networks in building a prediction model. Simulations were conducted in
Matrix Laboratory (MATLAB) utilizing seventy eight instances (78) of students’ logs of three blended
courses extracted from Moodle for 2013/2014 and 2014/2015 academic years.
Mean Square Error (MSE) and Coefficient of Determination (R
2
) performance metrics were used to find
the best prediction model considering ten possible models. The study revealed a model with architecture of
4:10:1 trained with Bayesian Regularization (BR) to be the best model resulting to least MSE of 0.0170 and
high R
2
of 0.93 on training. During testing, the model successfully predicted 78% of the students’
achievement with risk and pass status.
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A critical examination of the effects of learning management systems on university teaching and learning.pdf
1. HAMISH COATES, RICHARD JAMES AND GABRIELLE BALDWIN
A CRITICAL EXAMINATION OF THE EFFECTS OF
LEARNING MANAGEMENT SYSTEMS ON UNIVERSITY
TEACHING AND LEARNING
ABSTRACT. The rapid uptake of campus-wide Learning Management Systems
(LMS) is changing the character of the on-campus learning experience. The trend
towards LMS as an adjunct to traditional learning modes has been the subject of
little research beyond technical analyses of alternative software systems. Drawing on
Australian experience, this paper presents a broad, critical examination of the
potential impact of these online systems on teaching and learning in universities. It
discusses in particular the possible effects of LMS on teaching practices, on student
engagement, on the nature of academic work and on the control over academic
knowledge.
INTRODUCTION
There is a significant change taking place in higher education that has
received surprisingly little analysis. In the last few years, integrated
computer systems known as Learning Management Systems (LMS)
have rapidly emerged and are having, and will increasingly have,
profound effects on university teaching and learning. LMS are
enterprise-wide and internet-based systems, such as WebCT and
Blackboard, that integrate a wide range of pedagogical and course
administration tools. These systems have the capacity to create virtual
learning environments for campus-based students, and are even being
used to develop fully online virtual universities. They are becoming
ubiquitous at universities around the world, adding a virtual dimen-
sion to even the most traditional campus-based institutions.
Unlike other financial or human resources management systems
recently introduced into universities, online LMS have the potential
to affect the core business of teaching and learning in unanticipated
ways. Despite this, research into the ramifications of LMS, in par-
ticular the pedagogical issues, is still in its infancy. In spite of wide-
spread levels of adoption, and although the systems are essentially
devices for teaching, attention has been most often focussed on their
Tertiary Education and Management 11: 19–36, 2005.
Ó 2005 Springer
2. technical, financial and administrative aspects. In this paper, there-
fore, we explore implications arising from the incorporation of LMS
into university teaching and learning programmes. After critically
examining the significance of these online learning systems in con-
temporary higher education, we will discuss four specific academic
issues associated with their implementation.
THE RAPID EVOLUTION OF LEARNING MANAGEMENT SYSTEMS
An overview of online Learning Management Systems
While it is not our intention to present a technical analysis of LMS, it
is helpful to give some background for those who are less familiar
with the systems. LMS grew from a range of multimedia and internet
developments in the 1990s. In the last four years, the systems have
matured and been adopted by many universities across the world.
Also referred to as ‘‘learning platforms’’, ‘‘distributed learning sys-
tems’’, ‘‘course management systems’’, ‘‘content management
systems’’, ‘‘portals’’, and ‘‘instructional management systems’’, they
combine a range of course or subject management and pedagogical
tools to provide a means of designing, building and delivering online
learning environments. LMS are scalable systems which can be used
to support an entire university’s teaching and learning programmes.
With appropriate elaboration, they can also be used to drive virtual
universities.
International standards for LMS are only starting to be developed
(ADL SCORM 2003; IMS 2003; OKI 2003), and the various vendor
products currently available vary in terms of their conformity with
these. While the precise specifications vary from system to system,
they typically provide tools for course administration and pedagog-
ical functions of differing sophistication and potential:
asynchronous and synchronous communication (announcement
areas, e-mail, chat, list servers, instant messaging and discussion
forums);
content development and delivery (learning resources, develop-
ment of learning object repositories and links to internet
resources);
formative and summative assessment (submission, multiple choice
testing, collaborative work and feedback); and
HAMISH COATES ET AL.
20
3. class and user management (registering, enrolling, displaying
timetables, managing student activities and electronic office
hours).
Within limits, the structures, processes and online appearance of
the systems can be customised. The systems can be linked with others
within an institution. Different types and levels of support and
training are offered with particular systems, and in commercial
systems these typically constitute significant parts of a package.
While many of the commercial and technological aspects of online
LMS are in the relatively early stages of development, a number of
systems have assumed prominence in international markets. Exam-
ples of commercial systems include: Topclass/Firstclass (WBT Sys-
tems 2003), NextEd (NextEd 2003), WebCT Vista (WebCT 2003),
Blackboard (Blackboard 2003) and LearningSpace from Lotus (IBM
Lotus 2003). Most LMS were commercialised after originally being
university development projects, rather than as direct results of
business development activities. In recent years, several major USA
universities have chosen to release their LMS under open source
rather than commercial licenses. The most prominent open source
systems have been gathered together in the Sakai Project (Sakai
Project, 2004), and include CHEF (University of Michigan 2003),
Stellar (MIT 2003) and Coursework (Stanford University 2003).
These have grown in collaboration with a standards development
programme called the Open Knowledge Initiative (OKI) (OKI 2003).
The Open Knowledge Initiative has drawn much interest due to its
potential to forge genuine industry-wide standards for the first time.
Global and Australian trends in Learning Management System
adoption
The adoption of LMS across the world has been swift. A briefing in
the Observatory on Borderless Higher Education (OBHE 2002) pro-
vides an overview of the spread of the WebCT and Blackboard LMS.
In around five years, these two products have grown from inhouse
developments in North American universities to dominate interna-
tional markets. In Australia, the United Kingdom and Canada, over
70% of institutions hold licenses for at least one of these products. In
South Africa, Finland, the Netherlands and the USA, between 55%
and 62% of institutions use WebCT or Blackboard. The figures in the
briefing demonstrate the seriousness with which universities around
the world are treating the need to deploy LMS. Indeed, in a recent
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 21
4. discussion of distance education, Oblinger and Kidwell (2000) com-
ment on the almost herd-like mentality underpinning the attraction of
universities to online teaching.
There has been a remarkable level of adoption of LMS at Aus-
tralian universities. A survey of adoption trends was conducted in
2002 (Smissen Sims 2002). Despite the new and relatively unstable
nature of the market, the WebCT and Blackboard brands have a
clear market dominance, and are being used at three quarters of
Australia’s 39 universities. Results from the same evaluation indicate
no obvious patterns of brand selection in terms of university char-
acteristics such as size, type, history or discipline focus. While such
trends may reflect the developing global LMS market and the rela-
tively small size of the Australian market, they are somewhat sur-
prising in a sector which claims to strive for diversity and innovation.
Being relatively new technologies, there have been no large scale
studies of the actual uses and pedagogical effects of LMS. In a recent
study of online education, however, Bell, Bush, Nicholson, O’Brien
and Tran (2002) found widespread incorporation of online technol-
ogies into programmes at Australian universities. Although pene-
tration is greatest in the areas of commerce, education and health,
where there is often strong demand for mixed-mode or off-campus
delivery, the study found that around 60% of Australian post-
graduate subjects and around 25% of undergraduate subjects are
using some form of online technology. Overall it was found that
around 54% of subjects contain an online component. The report
concluded that ‘‘even though the percentage of fully online courses
and units is low, the percentage of web supplemented and web
dependent units seems to be a clear statement that many institutions
are using online technology to add value to teaching and learning’’
(Bell et al. 2002: 27).
It seems likely that the use of LMS will increase. These systems are
simplifying the development of basic online materials and making
possible the creation of virtual content by an increasing number of
academic staff. Within limits imposed by particular systems, staff are
able to develop interactive web pages, upload and integrate digital
resources, and develop assessment tasks and spaces for online dis-
cussion. Templates are often provided to guide and standardise such
activities, and to help reduce workload demands placed on individual
staff. Universities are encouraging or requiring each subject to have
some kind of web presence, and some have policies and incentives to
stimulate content development activities. Enterprise-wide LMS are
HAMISH COATES ET AL.
22
5. providing a context and impetus for the development of highly
structured ‘‘single-entry-point’’ online teaching and learning.
THE DRIVERS BEHIND LEARNING MANAGEMENT SYSTEM
ADOPTION
Universities have been quick to adopt LMS, despite the costs,
complexities, and risks involved. From a university planning point
of view, the initial selection of an enterprise-wide LMS is a high
stakes and high risk decision which involves a great deal of tech-
nological and institutional forecasting. It can involve dealing with
intertwined educational, administrative and technological issues, the
interests of a large and diverse range of stakeholders, and consid-
ering new dimensions of established institutional policies and pro-
cedures. The management and use of LMS can require developing
new forms and lines of accountability and control, and considering
dimensions of the interface between the academic and the admin-
istrative.
Clearly, there is something so seductive about LMS that, despite
their complexities and risks, almost every university seems compelled
to have one. Access, cost and quality are three commonly given
reasons for the contemporary importance of information technology
to higher education and the paradigm shift in delivery modes that is
underway (Daniel 2003). It is possible to isolate far more specific
drivers, however, which have enhanced the attractiveness of the
systems to universities and driven their rapid uptake.
First, LMS suggest a means of increasing the efficiency of teach-
ing. They offer institutions a means for delivering large-scale resource
based learning programmes. They help to facilitate flexible course
delivery, the identification and use of resources, communication and
conferencing, activities and assessments, collaborative work, and
student management and support (Ryan, Scott, Freeman Patel
2000). More general claims are often made that LMS will bring new
efficiencies to teaching. Despite the large upfront capital investments
required, universities are attracted by opportunities to reduce course
management overheads, reduce physical space demands, enhance
knowledge management, unify fragmented information technology
initiatives within institutions, expedite information access, set audit-
able standards for course design and delivery and improve quality
assurance procedures (Bates 1995; Brown 2001; Dutton Loader
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 23
6. 2002; Johnstone 1995; Katz 2003; King 2001; McCann Christmass,
Nicholson Stuparich 1998; Turoff 1997; van Dusen 1997). It is also
often argued that LMS will offer universities new economies of scale,
although it is still too early to confirm such claims.
Second, the attractiveness of LMS is associated with the promise
of enriched student learning. These systems, and online learning in
general, are seen to reinforce and enhance a diverse suite of con-
structivist pedagogics (Gillani 2000; Jonassen 1995; Jonassen Land
2000; Relan Gillani 1996). Constructivist theorists contend, for
instance, that online modes can enrich learning by allowing students
to access a greater range of resources and materials. It is further
argued that internet technologies can be used to make course con-
tents more cognitively accessible to individual learners by allowing
them to interact with diverse, dynamic, associative and ready-to-hand
knowledge networks. LMS may also enrich learning by providing
automated and adaptive formative assessment which can be indi-
vidually initiated and administered.
Third, universities are also driven by new student expectations. It
is possible that student expectations for advanced technologies are
increasing almost as quickly as the technologies are developing.
Green and Gilbert (1995: 12) write that ‘‘growing numbers of
college-bound students come to campus with computer skills and
technology expectations’’. Frand (2000) further argues that con-
temporary students have an ‘‘information-age mindset’’, and that
these skills and expectations are tacit and profound. In the
increasingly competitive higher education marketplace in which
students are increasingly perceived as some type of client (Gilbert,
2001), these expectations need to be matched or exceeded. It is
increasingly expected that institutions embrace leading-edge tech-
nologies. Green and Gilbert (1995: 12) write that ‘‘The old com-
petitive reference points describing information resources that used
to distinguish between institutions – the numbers of science labs and
library books – are being replaced by a new one: information
resources and tools available to students’’.
This brings us to the fourth point. Put simply, competitive pressure
between institutions has been a driver behind the adoption of LMS, at
least in Australia. Predictably, traditionally distance-learning orien-
tated institutions have embraced new generation technologies and
opportunities to reconfigure and expand their programmes (Garrison
Anderson 2003). But more traditionally campus-based teaching
institutions have also seen the adoption of new technologies as
HAMISH COATES ET AL.
24
7. necessary for developing the campus environment. The University of
Melbourne Strategic Plan, for instance, asserts that ‘‘despite the magic
of the campus... for the campus-based university to survive, the
campus experience will have to capture all the pedagogical richness of
the new teaching and learning technologies and modalities’’ (Uni-
versity of Melbourne 2001). Almost regardless of their history or
strategic direction, institutions have seen LMS as a means of lever-
aging the internet to offer some kind of competitive advantage. Uni-
versities are being forced to offer the best of both worlds, real and
virtual.
Fifth, LMS are sometimes proposed as a key means of respond-
ing to massive and increasing demands for greater access to higher
education, though we are doubtful about the extent to which this is a
serious influence at the institutional level. The development of vir-
tual places for learning has been regularly heralded as a key means
of overcoming access limitations caused by the lack of physical
infrastructure. Perhaps more significantly, however, LMS have also
been identified as a means of qualitatively reforming higher educa-
tion so that it can most effectively confront new types of demand.
Analysts contend that without substantial change, traditionally
structured universities will be unable to deal with a new era in which
they no longer monopolise the provision and certification of tertiary
education (Daniel 1998; Dearing 1997; Gilbert 2001; Hanna 1998;
Johnstone 1995; Moe 2002). Contemporary learning technologies,
and LMS in particular, are placed at the heart of these calls for
renewal.
Finally, and not least, LMS are part of an important culture
shift taking place in teaching and learning in higher education.
LMS offer universities a hitherto undreamt-of capacity to control
and regulate teaching. From a managerial perspective, the dis-
order associated with academic independence and autonomy in the
teaching and learning process can appear chaotic and anarchic. The
management and leadership of academic communities requires,
correspondingly, a high tolerance of uncertainty, but such tolerance
is in increasingly short supply in an era of attention to quality
assurance and control. LMS may appear to offer a means of reg-
ulating and packaging pedagogical activities by offering templates
that assure order and neatness, and facilitate the control of quality.
The perceived order created in teaching and learning by LMS is,
we suspect, one of the more persuasive reasons for their rapid
uptake.
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 25
8. THE EDUCATIONAL ISSUES
There is limited educational research into the pedagogical impact of
LMS. In efforts to identify salient topics for research, there has been
an explosion of small-scale, localised and descriptive case studies
looking at the effects of information and communication technologies
in teaching and learning (Kezar 2000; Merisotis Phipps 1999).
These studies typically focus on the use of specific technologies in
particular classes or subjects (Flowers Pascarella Pierson 2000;
Kuh Hu 2001; Kuh Vesper 2001). With technological and eco-
nomic factors often the primary drivers behind the adoption of the
technologies, researchers have frequently produced post hoc obser-
vations and explanations of their pedagogical qualities. Despite
considerable practical impact and much exploratory attention in the
research literature, therefore, researchers are only just beginning to
identify the underpinning practical and theoretical issues. With this
context in mind, we will examine four general issues related to
Learning Management Systems.
The influence of Learning Management Systems on teaching and
learning
Analyses of LMS in undergraduate programmes often devote atten-
tion to economic and technical issues. Such research tends to reduce
the analysis of LMS to an examination of the deficits they eliminate
in current pedagogical practices, or to the institutional efficiencies
they claim to offer. LMS are primarily tools for teaching and learn-
ing, however, and it is essential that discussions about LMS are
informed by pedagogical considerations.
On paper, LMS are described as supporting an extensive range of
teaching and learning activities. It appears that features which enable
access to learning resources, communication between staff and stu-
dents, conferencing, interactive multimedia, personal bookmarking
and note taking can well support the discursive interactions under-
pinning individual students’ learning (Britain Liber 1999; Lauril-
lard 2002). A recurrent message arising from the study of educational
technologies, however, is that it is not the provision of features but
their uptake and use that really determines their educational value.
It seems that, to this point, LMS have been largely based on
training-type models, even though many have emerged from uni-
versities. Used in their most utilitarian form, it could be argued that
HAMISH COATES ET AL.
26
9. LMS are based on an overly simplistic understanding of the rela-
tionship between teachers, knowledge and student learning. In-built
functions may not encourage awareness of or experimentation with
sophisticated pedagogical practices. Indeed, the textual nature of the
internet may reinforce conceptions of teaching as the transmission of
decontextualised and discrete pieces of information. It has been
argued that the flexibility and nuance essential to effective teaching
can be compromised once pedagogy is coded and compiled into
software (Lessig 1999). At the extreme, under the label of self-paced
learning, LMS might even be encouraging a movement towards
preprogrammed forms of teaching.
One of the most obvious limitations of LMS is their reliance on
forms of assessment which can be automatically ‘‘corrected’’, such as
multiple choice and short response tests. While there is obviously a
place for multiple choice tests, and they can be designed to test rea-
sonably complex understandings, it would be a matter of grave
concern if this form of testing and feedback became dominant in
higher education. It reinforces positivist epistemological assumptions
about the convergent nature of knowledge (Kolb 1984) which run
counter to the approaches to knowledge adopted in many academic
disciplines. The danger is that, if this is the most prominent aspect of
the assessment function in LMS, it will drive pedagogy towards a
simplistic, mechanical form of the vitally important assessment and
feedback loop.
LMS are not pedagogically neutral technologies, but rather,
through their very design, they influence and guide teaching. As the
systems become more incorporated into everyday academic practices,
they will work to shape and even define teachers’ imaginations,
expectations and behaviours. This may be particularly the case for
academics with only a few years experience. The age of such teachers
may mean that they are more likely to have an ‘‘information-age
mindset’’ (Frand 2000) and consider online learning as a normal and
necessary rather than optional part of teaching. Regardless of their
personal characteristics, however, the incorporation of LMS into
universities makes it likely that such academics will gain most of their
experience in teaching contexts saturated by such systems. These are
important considerations given the possibility that, increasingly,
LMS will play a major role in how academics learn to teach.
At present, there have been few if any generalisable studies on the
pedagogical effects of LMS. While it is ideal if not essential that
LMS encourage effective pedagogical practices beyond the mere
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 27
10. transmission of text, this may indeed be the dominant current use of
online learning resources. Our concern is whether it is possible for
LMS to stay simple enough to be a component of everyday teaching,
while at the same time supporting sophisticated and diverse educa-
tional practices. Given the commitment made by the higher education
community to LMS, this is an important question.
The uncertain effects of Learning Management Systems on students’
engagement
If LMS are having widespread effects on the structure of university
teaching, they are obviously affecting student study habits and learn-
ing. Investigating this point involves analysing the general dynamics of
students’ engagement or interaction with their institutions. Student
engagement refers to the intellectual, emotional and practical inter-
actions students have with educationally purposeful activities and
conditions (Kuh 2001; McInnis 2002). Despite growing recognition of
the importance of student engagement, little research has been done
into how the adoption of LMS as a vehicle for independent resource-
based learning is creating new patterns of engagement.
One dimension of engagement is the broad out-of-class interac-
tions students have with their universities. There is a plethora of
unanswered questions: Are LMS affecting how students’ understand
their higher education community and their self-identification within
those communities? By packaging universities into an online envi-
ronment, do LMS make it easier for students to identify and explore
institutional resources and services? How do LMS influence students’
feelings of inclusion in broader academic communities? What are
their perceptions of LMS-mediated interactions with staff and other
students?
A further dimension of engagement concerns students’ interac-
tions with the online learning systems themselves. There is not yet a
general understanding of students’ use of or attitudes towards the
systems. Indeed, most of the discussion about LMS seems to occur
without consideration of their effects on students. It is likely that
students see the systems as a general part of university infrastructure
rather than as special tools which add value to their learning. On a
practical level, it will be important to develop an understanding of
how LMS influence the practical dynamics of students’ learning.
As LMS become more established in teaching programmes, it will
be essential to examine their effects on students’ engagement with
HAMISH COATES ET AL.
28
11. fundamental learning activities. On a cognitive level, there is interest
in how LMS affect the way students explore and contextualise
learning resources, summarise, synthesise and make judgements
about their knowledge, confront complexity and work through con-
fusion, and get summative and formative feedback. LMS may
influence students’ confidence with and motivation for learning, or
their understanding of the significance of what they have learned.
Practically, they may mediate the academic conversations students
conduct with their peers and with staff, the management of their
learning, how they document, distribute and apply their knowledge,
or the time they spend really trying to understand a topic.
Undoubtedly, It will be valuable for research to explore the new
patterns and processes of engagement of campus-based undergrad-
uate students who are extensive users of online LMS. In addition to
the ramifications for academic and administrative staff and peda-
gogy, it can be anticipated that LMS are having significant effects on
student learning. Do students use LMS to negotiate more nuanced
forms of involvement with their university study, or are LMS en-
abling students to develop more virtual forms of presence in and
interaction with their university learning communities? Alternatively,
do they encourage increasingly independent and perhaps isolated
forms of study?
The new dynamics in academic work and the organisation of teaching
University teaching has traditionally been the primary responsibility
of academics, often working quite independently. While varying
greatly with discipline, student characteristics and institutional con-
texts, effective teaching and learning is an essentially adaptive process
involving ongoing interaction between students and staff. Tradi-
tionally, it has been the teacher’s role to ‘‘make student learning
happen’’ (Ramsden 1992), and untangle and draw together the dif-
ferentiated understandings students bring to a course (Laurillard
2002). Reducing this discrepancy, which Moore (1993) refers to as
‘‘transactional distance’’, involves teachers developing structure and
content for their course, and then seeding and managing the peda-
gogical conversations and feedback dynamics instrumental for
learning.
As may be expected of systems designed as comprehensive uni-
versity teaching and learning machines, LMS bring new structures
and practices to teaching. While many of these structures augment
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 29
12. and integrate conventional pedagogics, others add new dimensions
and expectations to teaching. Regardless of personal experience and
institutional context, teachers need to become adept at new forms of
communication and online dynamics, familiar with new delivery
methods, even perhaps assume new virtual identities and develop
sensitivity to the rhythms of just-in-time learning. Such changes
might require substantial restructuring of established routines and
procedures.
The introduction of new technologies into the university teaching
programmes has a tendency to create new relationships between
academic and administrative staff. One important change is a con-
vergence of the academic and administrative responsibilities for
teaching. The incorporation of LMS into university teaching pro-
grammes leads to new kinds of organisation in the development of
learning resources and the management of learning. As well as
playing a support role, technical and administrative staff are often
much more directly involved in the development of teaching and
learning activities. While ‘‘academic-free’’ teaching may seem only a
very distant prospect, major online delivery ventures already have
business plans based on the employment of limited numbers of aca-
demic staff who create content with the support of larger numbers of
less expensive student support staff.
LMS are creating new and complex divisions of labour between
administrators and teachers which are in need of exploration. The
preparation of sophisticated online learning materials frequently
involves collaborations between academic and instructional staff.
Where once academics worked independently to develop lecture
notes, course materials and assessment tasks, producing artefacts for
online learning can involve ongoing work in teams of multimedia and
software developers.
Organisational changes linked with LMS resonate with a mana-
gerial desire for total quality teaching. Along with the synergies that
new forms of collaboration might bring to the preparation and
conduct of teaching, come new forms of control and accountability.
The more engineered materials produced by such collaborative teams
reflect increased technological and administrative input over teaching
content and practices. Further, unlike less formalised traditional
materials, the sophisticated results of such collaborations are also
more open to various forms of monitoring, inspection and control.
Institutional research needs to explore these emerging forms of
administration. What are the pedagogical effects, for instance, of the
HAMISH COATES ET AL.
30
13. more explicit and less nuanced forms of relationship between students
and staff? To what extent are academic staff being constrained in the
teaching process? What are the implications of ‘‘academic-free’’
teaching on campus-based universities? What are the consequences of
students increasingly seeking learning assistance from technology
support staff rather than from teachers?
The possible corporatisation of academic knowledge
LMS impose particular structures on the development of online
resources, opening up certain possibilities while constraining others.
As the systems develop, staff are offered an increasing range of fea-
tures they can use to build and deliver their courses. It is important to
question, however, whether such offerings are an encouragement or
limitation to the diversity and distinctiveness of discipline focuses and
teaching approaches found across an institution. In incorporating
online learning systems into university teaching programmes, it is
important to consider whether commercially available systems are
adaptable to the needs of diverse academic cultures and communities.
It would be a retrograde rather than progressive step if the adoption
of an online learning system resulted in the overly systematised
compression of different disciplines and styles of learning.
Restrictions on the migration of content appear to be a major
issue with LMS. Technical and financial factors can make it difficult
for institutions to migrate between different systems. Although
vendor products are starting to incorporate tools which allow stan-
dards-based distribution of content between systems, the standards
themselves are only being defined, and effective and transparent tools
are still some time away. However, the key questions in this area are
not about delays in the development of software, but about the
overall control institutions have over content. Without ultimate
control over the source code that runs the programme, pedagogical
content may no longer be in the hands of individual teachers, or
universities, but transnational corporations.
The commercialisation of content appears to be a goal of LMS
vendors. By establishing web-based delivery mechanisms, such com-
panies have developed the foundations for selling online content.
Many systems are owned by large publishing houses which are
understandably interested in the development and distribution of
copyrighted material. Gaining access to large libraries of online
learning objects can be a major reason for selecting a particular
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 31
14. system. With the development of portable learning objects still some
distance in the future, however, commitment to one system can mean
exclusion from others. Whether it is at all possible, let alone desirable,
to standardise content across institutions, nations or cultures is a
matter which institutions will need to consider carefully.
Balancing such trends towards the possible commercialisation of
academic knowledge is the development of a number of open source
LMS. Unlike commercial systems, open source programmes are
distributed with the source code used to run a programme, making it
possible for users to adapt and develop the software. Open source
software is produced in collaborative international developer net-
works which operate in parallel and are open to peer validation and
review. By adopting open source LMS, institutions can join together
to form their own developer communities. Rather than giving control
of pedagogical content over to third party commercial organisations,
therefore, universities retain the ability to shape the contents and
operations of their online learning systems.
Through making the internet a more seductive and accessible tool
for teaching, LMS may also be homogenising the creation, style and
ownership of pedagogical knowledge. Educational research might
investigate how the parsimonies offered by LMS balance with a
possible standardisation and ‘‘shrink-wrapping’’ of knowledge.
Having been drawn into a ‘‘unified national system’’ in the late 1980s
(DEET 1988), are three quarters of Australia’s universities now
slipping into a unified pedagogical system? What are the possible
effects of the commercialisation of academic content on university
teaching? What are the consequences of such an intimate alignment
of pedagogy with technology? How tolerable, or indeed attractive,
are the risks, uncertainties and possibilities of open source LMS
compared with a possible future of franchise universities?
DEVELOPING ONLINE LEARNING MANAGEMENT SYSTEMS IN
HIGHER EDUCATION
The future of LMS in higher education needs to be the subject of
vigorous and broad educationally focused discussion and debate.
These online systems have tended to attract the attention of techni-
cians, administrators and a typically small number of academic staff
with a direct interest in online learning. Given the likely effects of the
systems, however, it is essential that discussions about online learning
HAMISH COATES ET AL.
32
15. systems involve a wide range of people and perspectives. Decisions
about university teaching and learning should not be restricted to
checklist evaluations of technical and organisational factors. It is vital
to maintain the educational perspective rather than emphasise any
technological determinism which takes specific characteristics of
online systems or teaching for granted. In particular, discussions
about the adoption, implementation, use and review of LMS should
involve ongoing iterative dialogue with the large and diverse group of
academic stakeholders who are, and will increasingly be, affected by
the systems.
Institutional managers and leaders need to play key roles in such
discussions. Institutional leadership needs to ensure that staff are
educated in online pedagogy, and that they are exposed to more
general debates and questions surrounding online LMS. At the same
time, institutional leaders need to develop support for the staff who
use LMS by, for example, developing best practice models and setting
up fora in which staff can share ideas and discuss their experience
with the systems. It is important that steps are taken to identify how
online LMS can be used to augment and complement rather than
substitute for an institution’s core teaching objectives.
The adoption and deployment of a LMS underlines the impor-
tance of a cluster of high-level reviews and investigations. It is
important, for example, that leadership initiates and endorses
ongoing evaluation of the educational and organisational effects of
online learning systems. It is also important, as discussed, that
institutions adapt their quality feedback mechanisms or undertake
specific reviews to investigate the influence of online learning systems
on students’ learning and general engagement. There may be a
further need to explore and develop strategies to manage new pat-
terns and dynamics of academic work, and to conduct curricula re-
views which consider educational as well as operational risks and
opportunities arising from the increasing commercialisation of aca-
demic content.
It is important that institutions adopt and deploy LMS in ways
which are open, inclusive and educationally informed. Institutional
managers and leaders can play a key role in setting the parameters
and tone for the complex adoption processes. Indeed, leadership can
play a formative role in promoting the institutional research and
reflective practice required to develop understanding of the educa-
tional role of LMS in institutions, and in higher education in
general.
EFFECTS OF LEARNING MANAGEMENT SYSTEMS 33
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Hamish Coates, Richard James and Gabrielle Baldwin
Centre for the Study of Higher Education
University of Melbourne
Victoria 3010
E-mail: hamishc@unimelb.edu.au
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