scholarly journals Modeling of Pedagogical Patterns in an E-learning System

2021 ◽  
Vol 16 (24) ◽  
pp. 205-219
Author(s):  
Emil Hadzhikolev ◽  
Stanka Hadzhikoleva ◽  
Hristo Hristov ◽  
Emil Yonchev ◽  
Vladimir Tsvetkov
Keyword(s):  
Learning System ◽  
Software System ◽  
Video Content ◽  
Learning Content ◽  
Imple Mentation ◽  
Different Types ◽  
E Learning ◽  
Learning Software ◽  
Teaching Ideas ◽  
Specific Learning

Pedagogical patterns describe teaching ideas that can be applied in different ways in teaching in different disciplines, and for different types of students. They are a tool for sharing experience and good practices between teachers. The use of pedagogical patterns in online learning is a challenge that can be met by using an appropriate software system for learning management. The article proposes a model of educational objects, suitable for software imple-mentation, which we call pedagogical pattern instances, or for short - in-stances. One instance combines specific learning content with additional fea-tures. Learning content can have different “views” that present knowledge in different ways, for example, through text files of presentations, audio or video content, interactive content, etc. Logical categories of characteristics and activities form the “aspects” of the instance, such as methodology, adap-tivity, assessment, etc. The proposed pattern instance model is flexible. It can be expanded with new features and adapted to specific goals and designs. The paper also outlines a conceptual framework of an e-learning software system using the presented model of a pattern instance.

scholarly journals Personalized E-Learning System Based on User’s Performance and Knowledge: An Adaptive Technique

2019 ◽  
Vol 8 (4) ◽  
pp. 8695-8699 ◽  
Keyword(s):  
Learning Style ◽  
Adaptive Learning ◽  
Learning System ◽  
Initial Assessment ◽  
Specific Domain ◽  
Learning Content ◽  
Adaptive Technique ◽  
E Learning ◽  
Adaptive Learning System ◽  
Specific Learning

The Learning style of every individual is unique. We require some adaptive and personalization techniques to extract required learning content from enormous content available. Here we build up an adaptive learning approach so that the personalization is conceivable. An adaptive learning system is developed by considering learner’s knowledge. We develop this by considering a specific domain. It takes the individual’s performance into consideration and modifies constantly by responding with student specific learning content. We categorize learners based on the initial assessment conducted. Based on the results obtained and on his/her choice of content displayed. Learner’s performance is observed and modelled, adaption is done accordingly through continuous appraisals conducted after each module and tweaked during interactions. The essential goal of this paper is to incorporate the revelation of ideal settings, where the students can improve their learning capacities.

Automatic Organization and Generation of Presentation Slides for E-Learning

2012 ◽  
Vol 10 (3) ◽  
pp. 35-52 ◽  
Author(s):  
K. Sathiyamurthy ◽  
T. V. Geetha
Keyword(s):  
Distance Education ◽  
Language Processing ◽  
Learning System ◽  
Learning Material ◽  
Content Creation ◽  
Learning Content ◽  
E Learning ◽  
Processing Techniques ◽  
The Web ◽  
Extract Information

The effectiveness of an e-learning system for distance education to a large extent depends on the relevancy and presentation of learning content to the learner. The ability to gather documents on a particular topic from the web and adapt the contents of the document to suit the learner is an important task from the content creation perspective of e-learning. For the developer of e-learning material the provision to automatically extract, organize, and present content material would improve its effectiveness. This paper proposes to extract information from documents using language processing techniques and organizing the content into appropriate presentation slides for learning purposes using domain ontology and learning oriented pedagogy ontology.

Intelligent Adaptable e-Assessment for Inclusive e-Learning

2020 ◽  
pp. 1185-1199
Author(s):  
Lilyana Nacheva-Skopalik ◽  
Steve Green
Keyword(s):  
Human Rights ◽  
Learning Environment ◽  
Open Source ◽  
Learning System ◽  
Access To Education ◽  
Education Systems ◽  
Learning Content ◽  
E Learning ◽  
Individual Needs ◽  
The Individual

Access to education is one of the main human rights. Everyone should have access to education and be capable of benefiting from it. However there are a number who are excluded, not because of a lack of ability but simply because they have a disability or specific need which current education systems do not address. A learning system in which content, tools and interfaces can be personalised and adapted to the individual needs and preferences of a variety of learners, including those with disabilities, becomes inclusive. Assessment is an integral part of an e-learning environment and therefore it has to provide not only inclusive e-learning content but also inclusive e-assessment. The proposed research investigates an intelligent adaptable e-learning system for assessing students' level of skill, knowledge and understanding regardless of their disabilities or accessibility needs. It is based on an innovative use of world's first open source adaptable widget design and authoring toolkit (WIDGaT) as the prototyping environment.

A New Method for Measuring Text Similarity in Learning Management Systems Using WordNet

2014 ◽  
Vol 9 (2) ◽  
pp. 1-13
Author(s):  
Bassel Alkhatib ◽  
Ammar Alnahhas ◽  
Firas Albadawi
Keyword(s):  
Learning Management Systems ◽  
Learning System ◽  
New Method ◽  
Management Systems ◽  
Similarity Learning ◽  
Text Similarity ◽  
Learning Content ◽  
E Learning ◽  
Learning Management ◽  
Automatic Collection

As text sources are getting broader, measuring text similarity is becoming more compelling. Automatic text classification, search engines and auto answering systems are samples of applications that rely on text similarity. Learning management systems (LMS) are becoming more important since electronic media is getting more publicly available. As LMS continuously needs content enrichment and the web is getting richer, automatic collection of learning materials becomes an innovative idea. Intelligent agents can be used with a similarity measurement method to implement the automatic collection process. This paper presents a new method for measuring text similarity using the well-known WordNet Ontology. The proposed method assumes that a text is similar to another if it represents a more specific semantic. This is more suitable for LMS content enrichment as learning content can usually be expanded by a more specific one. This paper shows how the hierarchy of WordNet can be taken advantage of to determine the importance of a word. It is also shown how similarity method within an e-learning system is exploited to achieve two goals. The first one is the enrichment of the e-learning content, and the second is the detection of semantically similar questions in e-learning questions banks.

scholarly journals Toward Social Media Content Recommendation Integrated with Data Science and Machine Learning Approach for E-Learners

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1798 ◽  
Author(s):  
Zeinab Shahbazi ◽  
Yung Cheol Byun
Keyword(s):  
Social Media ◽  
Computer Science ◽  
Data Science ◽  
Learning System ◽  
Local Context ◽  
Great Success ◽  
Learning Context ◽  
Wide Range ◽  
E Learning ◽  
Learning Software

Electronic Learning (e-learning) has made a great success and recently been estimated as a billion-dollar industry. The users of e-learning acquire knowledge of diversified content available in an application using innovative means. There is much e-learning software available—for example, LMS (Learning Management System) and Moodle. The functionalities of this software were reviewed and we recognized that learners have particular problems in getting relevant recommendations. For example, there might be essential discussions about a particular topic on social networks, such as Twitter, but that discussion is not linked up and recommended to the learners for getting the latest updates on technology-updated news related to their learning context. This has been set as the focus of the current project based on symmetry between user project specification. The developed project recommends relevant symmetric articles to e-learners from the social network of Twitter and the academic platform of DBLP. For recommendations, a Reinforcement learning model with optimization is employed, which utilizes the learners’ local context, learners’ profile available in the e-learning system, and the learners’ historical views. The recommendations by the system are relevant tweets, popular relevant Twitter users, and research papers from DBLP. For matching the local context, profile, and history with the tweet text, we recognized that terms in the e-learning system need to be expanded to cover a wide range of concepts. However, this diversification should not include such terms which are irrelevant. To expand terms of the local context, profile and history, the software used the dataset of Grow-bag, which builds concept graphs of large-scale Computer Science topics based on the co-occurrence scores of Computer Science terms. This application demonstrated the need and success of e-learning software that is linked with social media and sends recommendations for the content being learned by the e-Learners in the e-learning environment. However, the current application only focuses on the Computer Science domain. There is a need for generalizing such applications to other domains in the future.

scholarly journals Challenges of Transitioning to e-learning System with Learning Objects Capabilities

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Miroslava Raspopovic ◽  
Svetlana Cvetanovic ◽  
Aleksandar Jankulovic
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Information Systems ◽  
Open Source ◽  
Learning Objects ◽  
Learning System ◽  
Learning Content ◽  
Technological Advances ◽  
E Learning ◽  
Transitional Challenges

<p>In order for higher education institutions, which implements blended and/or online learning to remain competitive and innovative it needs to keep up with the cutting edge technological and educational advances. This task is usually very difficult, keeping in mind the budget constraints that many institutions have. This usually implies that existing open source solutions have to be used and adapted to individual needs of each institution. Keeping up with the current technological advances often brings not only financial challenges, but also transitional challenges that may put at risk learning quality and reputation of the institution, as well as performance of students. This work describes the features of the system, results and challenges of transitioning to e-learning system that displays learning materials through sequence of reusable learning objects (LOs) from the system that does not have these capabilities. The goal of such system is to increase reusability of learning content, and moreover, to increase online interactivity and communication between the instructor and students. Findings of this work reveal advantages, disadvantages and potential obstacle of implementation e-learning system with LOs and give an overview of suggestions for implementation improvements. These suggestions are given based on evaluation of implementation of new e-learning system with LOs, after the transition from the traditional e-learning system. Furthermore, based on the research of existing methodologies in the field of information systems, and the results of this research, this work proposes methodology for transferring into e-learning system with LOs. </p>

scholarly journals Pengukuran Tingkat Kesiapan E-learning Guru di Kota Jayapura di Masa Pandemik Covid-19

Techno Com ◽  
2021 ◽  
Vol 20 (4) ◽  
pp. 518-526
Author(s):  
Remuz Maurenz Bertho Kmurawak ◽  
Samuel Alexander Mandowen
Keyword(s):  
Rapid Change ◽  
Learning System ◽  
Teachers Perceptions ◽  
Learning Content ◽  
Learning Platform ◽  
E Learning ◽  
Level 3 ◽  
System Data ◽  
Content Availability ◽  
Quality Learning

E-learning is one of the revolutions in the education system that encourages the acceleration of quality learning. The Covid-19 pandemic has become a catalyst for accelerating the implementation of e-learning in Jayapura, Papua. Teachers are required to be able to adapt to this rapid change. Thus, E-learning becomes essential amid the pandemic, yet the ICT indicators reveal many barriers to implementing it. This study aims to assess the level of readiness of the teachers in implementing the e-learning system. Data was collected by distributing questionnaires to the teachers from elementary to high school in Jayapura City. Technology infrastructures, human resources, and e-learning content were the main variables to measure. This study indicated that based on teachers' perceptions, more than 70 percent were using google classroom as an e-learning platform. The level of readiness was level 3 (ready with minor improvements). Infrastructures, internet access, and e-learning content availability are the indicators that needed extra attention for improvement

scholarly journals The Usage of E-Learning Model To Optimize Learning System In Higher Education by Using Dick and Carey Design Approach

2016 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Anak Agung Gde Satia Utama
Keyword(s):  
Learning Model ◽  
Learning Objectives ◽  
Learning System ◽  
Learning Activities ◽  
Technology Enhanced Learning ◽  
Learning Content ◽  
E Learning ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Enhanced Learning

Abstract— Nowadays many universities in the world apply technology enhanced learning in order to help learning activities. Due to the potentials technology enhanced learning offers, recent education using it and universities in particular are trying to apply it. One of the subjects of this research is The Accounting Department of Airlangga University in Surabaya. The idea of this research is to investigate the students about how they know deeply about e-learning system and learning objectives as a first step to conduct e-learning model. After the model completed, the next step is to prepare database learning. Entity Relationship Diagram (ERD) can help to explain the model. The purpose of this research was done by using Dick and Carey Design Model. There are nine steps to conduct e-learning model. All steps can be categorized into three steps research: first is the introduction or empirical study, the next step is the design and the last is the feedback after the implementation. The methodology used in this research is using Qualitative Exploratory, by using questionnaire and interviews as data collection techniques. The analysis of the data shows organization requires information about e-learning content, user as a learning subject and information technology infrastructures. E-learning model as one of the alternative learning can help users to optimized learning. Keywords— E-learning Content, Database Learning, Entity Relationship Diagram, Dick and Carey Design, E-learning model and Optimize learning

scholarly journals An adaptive e-learning architecture: An experimental model for implementation and personalization of regional and English medium learners

2021 ◽  
Vol 23 (10) ◽  
pp. 306-317
Author(s):  
Dr. K. Bhagyalakshmi ◽  
◽  
Dr S. Manimaran ◽  
Dr. T. Muthupandian ◽  
◽  
...  
Keyword(s):  
English Language ◽  
Learning System ◽  
Individual Student ◽  
Social Implication ◽  
Learning Content ◽  
Regional Language ◽  
The Social ◽  
Core Subject ◽  
E Learning ◽  
And Performance

Traditional e-Learning system displays the same content to all the learners irrespective of their knowledge level and relevance. This paper enumerates insight into the learner‟s perspective and expectation on medium of study such as regional language verses English language at education institute in fathoming the core subject or e-content provided to them in English and proposes a design for developing an adaptive e-Learning system personalized to the learner. To investigate into the learner‟s individual desire the best cutting edge practice of applying statistical tools along with a plausible framework is being adapted. The results implied that the medium of instruction (Regional language / English) at school has greater impact on the performance compared to the region (Rural / Urban) the students hailed from, when the same content is given to them in English using traditional e- Learning. However, often there exists a widespread difference among regional language as a medium of learning in rural area and English as a medium of learning in urban area. Therefore, this study intend to develop e-learning content based on individual student capability to understand using systematic decision making and customized rules. The social implication of this study reveals that adaptive elearning based on individual personal capacity and customized e-learning content has been successfully implemented and effectively established a balanced trade-off between regional language as a medium students and English as a medium of learning student‟s knowledge and performance.

Application of Ontology from Course and Forum Discussion Learning Content

2015 ◽  
Vol 2 ◽  
pp. 24
Author(s):  
Hazalina Hashim
Keyword(s):  
Online Survey ◽  
Semantic Knowledge ◽  
Learning System ◽  
Three Dimensions ◽  
Positive Perception ◽  
Online Learners ◽  
Effective Learning ◽  
Learning Content ◽  
E Learning ◽  
Ontology Application

The capability of ontology application to add meaning to information, indexed in such a way that it can be reused, searched, processed and shared has been extensively explored and recognized in e-learning education. As such, it is the interest of this paper to apply the use of ontology from course module and forum discussion learning content in e-learning setting.  Thus, the ontology designed with SKOS specification is used to structure into concepts and relationships in order to develop and highlight the essential learning content. Furthermore, a semantic forum system is proposed as a mechanism to represent the ontology designed into semantic knowledge representation for learner to easily access, search and navigate the relevant knowledge of interest. This study evaluates the effectiveness of the proposed system along with three dimensions namely learners’ perceptions, system design perceptions, and system content perceptions. Accordingly, a close-ended online survey was developed and administered to 74 online learners. The findings demonstrate positive perception that contributes to effective learning system that able to enhance the understanding of course taught.

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