An Object Oriented Approach to Improve the Precision of Learning Object Retrieval in a Self Learning Environment

Raghuveer, V. R.; Tripathy, B. K.

doi:10.28945/1740

Cited by 10 publications

(10 citation statements)

References 13 publications

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“…Such an approach to technologically-enhanced education is considered to be promising and popular, as it supports reusability in different contexts, leading to a minimisation of production cost (Chawla, Gupta and Singla 2012). Recently, LO development has been inclined to move towards achieving closer compliance with Object-oriented Programming principles (Raghuveer and Tripathy 2012), one of the most successful paradigms in the software engineering discipline.…”

Section: Review Of the Literaturementioning

confidence: 99%

Influencing mathematics students' academic success through online intervention: A case study

Adamiak

Sauls

2017

SAJHE

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Open distance learning (ODL), by the definition, subscribes to the limited direct engagement of the students with the learning institution. The University of South Africa (UNISA), Western Cape, has placed key emphasis on providing an array of electronic support platforms to assist students with their needs in quantitative literacy skills. Consequently, as a part of this additional learning support, an online environment was designed in which the students, enrolled for various mathematics modules, were able to access an array of educational resources. Findings from similar studies suggest, that the utilisation of employment of additional learning support could show a positive effect on students' academic achievement in distance learning. Therefore, a quasiexperimental research study was conducted to investigate this supposition by comparing the assessment outcomes among various student groups subjected to the additional learning support interventions. It has been found that online intervention might affect the success rate of the students, however, not necessarily in a simple or in the anticipated way.

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Section: Review Of the Literaturementioning

confidence: 99%

Influencing mathematics students' academic success through online intervention: A case study

Adamiak

Sauls

2017

SAJHE

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“…It is important that materials of the highest quality are produced, in this era of rapidly increasing use of e-learning, in order to achieve effective learning. (Rubin, Fernandes, Avgerinou, & Moore, 2010;Kay & Knaack, 2009;Gutierrez y Restrepo, Benavidez, & Gutierrez, 2012;Raghuveer & Tripathy, 2012).…”

Section: Introductionmentioning

confidence: 99%

Developing a Conceptual Framework for Evaluation of E-Content of Virtual Courses: E-Learning Center of an Iranian University Case Study

Akhavan

Arefi²

2014

IJELL

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The purpose of this study is to obtain suitable quality criteria for evaluation of electronic content for virtual courses. We attempt to find the aspects which are important in developing e-content for virtual courses and to determine the criteria we need to judge for the quality and efficiency of learning objects and e-content. So we can classify the criteria and formulate conceptual framework for evaluation of e-content. Considering the literature, we identify suitable quality criteria and then apply Delphi for polling the experts' opinions. By developing the suggested conceptual framework, the contents of two courses which have been developed in an e-learning center of an Iranian University are evaluated by the related experts by using questionnaire and surveying. After reviewing the literature, frameworks and various models for evaluation of electronic content and polling the professors and experts' opinions in different fields including virtual learning, information technology, instructional technology and system engineering, 22 criteria were identified and they were classified in 4 groups as the following: quality of content and information, appropriateness of content with strategy, appropriateness of content with standard, appropriateness of content with instructional design. Network Security Essentials and Human Resource Management courses in an Iranian University were evaluated using the framework, and the findings indicated areas in design that were weak. The suggested framework in this study is shown to be a suitable tool for evaluating the virtual courses content in virtual universities and institutes. This framework can evaluate any virtual course content in 4 aspects: quality, strategy, standard and instructional design. This study helps virtual Learning service providers and electronic content developers in identifying the drawbacks and strengths in content development and in improving the content quality.

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“…interface layer, process layer and data layer. The data layer stores the granular LOs created based on the Learning Object Content Assembly Interface (LOCAI) proposed by [9]. These LOs are properly attributed, categorized and stored inside the LOR.…”

Section: Proposed Systemmentioning

confidence: 99%

“…With the LOs offered through the eLearning environments are mostly in the large granular form like documents, presentations, or videos, the explicit reflection of the learners in the form of ratings may not help to precisely identify the portion(s) of the content that addressed the requirement of the learner in a specific learning instance [9]. The RILS proposed in this paper addresses the issues with recommending LOs in environments like MOOCs by presenting the small granular LOs with appropriate metadata and then determines the most suitable LOs to be presented in each learning instance based on the feedback of the learners.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement learning approach towards effective content recommendation in MOOC environments

Raghuveer¹,

Tripathy

Singh

et al. 2014

2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE)

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Understanding the Learner requirements is an important aspect of any learning environment as it helps to recommend the LOs in a more personalized manner. With the growing demand for MOOCs offered by coursera, edx, etc. the learner information plays a vital role in understanding the extent to which the learners can gain out of such courses. The Learning Management Systems (LMS) across the web uses the explicit (rating, performance, etc.) and implicit feedback (LOs used) obtained through interaction with the learners to derive such information. As the requirements of the learners varies with the individual's interest and learning background, a common approach for recommending LOs may not cater the needs of all the learners. To overcome this issue, this paper proposes reinforcement learning based algorithm to analyze the learner information (derived from both implicit and explicit feedback) and generate the knowledge on the learner's requirements and capabilities inside a specific learning context. The reinforcement learning system (RILS) implemented as a part of this work utilizes the knowledge thus generated in order to recommend the appropriate LOs for the learners. The results have highlighted that the knowledge derived from the learning information analysis proved to effective in generating personalized recommendation policies that can cater the context specific requirements of the learners.

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An Object Oriented Approach to Improve the Precision of Learning Object Retrieval in a Self Learning Environment

Cited by 10 publications

References 13 publications

Influencing mathematics students' academic success through online intervention: A case study

Influencing mathematics students' academic success through online intervention: A case study

Developing a Conceptual Framework for Evaluation of E-Content of Virtual Courses: E-Learning Center of an Iranian University Case Study

Reinforcement learning approach towards effective content recommendation in MOOC environments

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