Adaptive Learning Sequencing for Course Customization: A Web Service Approach

Madjarov, Ivan; Betari, Abdelkader

doi:10.1109/apscc.2008.297

Cited by 8 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Madjarov and Betari [7] describe the network service-based learning infrastructure that uses SCORM content model. The learning objects are organized into a learning cluster tree and are ordered according to learner's actions and responses to the questions and exercises.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

Vagale

Niedrite

2016

Communications in Computer and Information Science

View full text Add to dashboard Cite

Abstract. In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher's pedagogical experience; learner's free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners' experience. With the help of the optimal topic sequence method, data about previous learners' course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

show abstract

Section: Related Workmentioning

confidence: 99%

“…For example, in the articles [2,6,7], description of relationships between unities of learning content is made using hierarchical structures. Their creation and maintenance takes a lot of time and system resources.…”

Section: Related Workmentioning

confidence: 99%

The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

Vagale

Niedrite

2016

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…Madjarov and Betari introduced a model based on Petri Net in the form of a hierarchical structure of learning activities (LOs) [6] . Learning material is organized as a cluster tree and the sequence in it depends at the disposal of the learner or the response to exercises designed to determine the level of the student, which can be determined through the examination at that stage or level.…”

Section: Course Sequencing Behavior Model Presented By Petri Netmentioning

confidence: 99%

“…Service provided to students through LOs are more suitable to the level of knowledge of the student. This form is more dynamism in the sequential behavior and sequencing rules of schema ,which ensures more integration of various types of LOs in the sequencing rules of schema [6] . The course cluster sequencing is illustrated in figure 2 .…”

Section: Course Sequencing Behavior Model Presented By Petri Netmentioning

confidence: 99%

Intelligent Adaptive Presentation and E-testing System based on User Modeling and Course Sequencing in Virtual Classroom

MJabari¹,

Hariadi²,

Purnomo³

2012

IJCA

View full text Add to dashboard Cite

This paper introduces a solution for the problem of dealing with the student personalization in e-learning and virtual classrooms. Dual problem relating to LOs presentation in the best appropriate way to the student and conduct the tests in a way that allows him to answer according to his cognitive style and giving him more trials to answer. IMS SS describes the organization of LOs in hierarchical manner, as a tree allows to deliver LOs in sequence and more verifiable. Petri Net offers the ability of using conditions within the learning process and then respond to the result of the condition. learning environment is divided into three layers. DM, AM and RM. Through the relationship and interaction between these three layers we can control the sequence and organization of the learning process. Student model is the core of adaptive learning since it determines the behavior of the system adaptive process. It has been studied the most important student characteristics required in the adaptive process mainly the different patterns of cognitive styles. This paper discussed the design of the adaptive learning process basing on these concepts. We got integrated design provides learning activities either LOs or tests in sequence and adaptive to the student cognitive style. This system evaluates the knowledge of the student beside his new cognitive style which should be used in the next concept presentation. The paper discusses also the full environment of this system through the design of models required to achieve the objective as well as services, infrastructure, and some additional services that can get benefit from the system such as adaptive chat room .

show abstract

“…Some concentrated on the tools for courseware's construction with providing more simple methods, which were almost through describing activity sequence by visual graph, such as state-chart diagram [5], Petri net [6], self-defined graph [7,8]. There were also researches on extension of the SCORM to get more adaptability, which involved the extensions on API [9] or IMS SS rules [10], but these extensions most need to change the sequence engine of IMS SS.…”

Section: Introductionmentioning

confidence: 99%

Dynamic generation of the adaptive courseware based on learning technology standards

Zhang

2010

2010 5th International Conference on Computer Science &Amp; Education

View full text Add to dashboard Cite

The purpose of this paper is to generate the adaptive courseware for distance education which supports the learning technology standards SCORM adopts. Since the issues have been found during the application of the standards, this paper tries to construct the courseware at the pedagogy layer, and takes the standards as a bottom layer. The idea is to provide a learning model based on pedagogy and then give the realization model based on standards. Using the method, the learning strategy can separate from the content, so the adaptive courseware can be assembled dynamically.

show abstract

Adaptive Learning Sequencing for Course Customization: A Web Service Approach

Cited by 8 publications

References 6 publications

The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

The Application of Optimal Topic Sequence in Adaptive e-Learning Systems

Intelligent Adaptive Presentation and E-testing System based on User Modeling and Course Sequencing in Virtual Classroom

Dynamic generation of the adaptive courseware based on learning technology standards

Contact Info

Product

Resources

About