scholarly journals An Adaptive E-learning System for Teaching Mobile Applications

2021 ◽  
Vol 10 (9) ◽  
pp. 80-87
Author(s):  
George Pashev
Keyword(s):  
Mobile Applications ◽  
Learning Systems ◽  
Learning System ◽  
Software Implementation ◽  
Learning Goals ◽  
Abstract Model ◽  
Scientific Publications ◽  
Learning Path ◽  
E Learning ◽  
Software Prototype

Support for various aspects of personalization and adaptation of the reviewed tools is not at the desired level of abstraction - very often depends on the specific way in which it is assumed that a learning object will be combined, to build a learning path for going through an e-course, or to achieve learning goals. This document describes an innovative and more abstract model and related software system for adaptive e-learning. A software prototype for adaptive teaching of the disciplines "Mobile Applications" and "Programming applications for mobile devices", taught at Plovdiv University "Paisii Hilendarski” is presented. Objectives are discussed, based on an extensive overview in the field of adaptive e-learning systems and the software implementation of the e-learning tool is presented. Results of specific tests with study activities will be presented in future scientific publications.

scholarly journals A New Learning Path Model for E-Learning Systems

2021 ◽  
Vol 19 (2) ◽  
pp. 20-40
Author(s):  
David Brito Ramos ◽  
Ilmara Monteverde Martins Ramos ◽  
Isabela Gasparini ◽  
Elaine Harada Teixeira de Oliveira
Keyword(s):  
Student Behavior ◽  
Group Formation ◽  
Learning Systems ◽  
Learning System ◽  
Path Model ◽  
New Approach ◽  
Learning Path ◽  
E Learning ◽  
Learning Paths ◽  
Collaborative Activities

This work presents a new approach to the learning path model in e-learning systems. The model uses data from the database records from an e-learning system and uses graphs as representation. In this work, the authors show how the model can be used to represent visually the learning paths, behavior analysis, help to suggest group formation for collaborative activities, and thus assist the teacher in making decisions. To validate the practical utility of the model, the authors created two tools, one to visualize the learning paths and another to suggest groups of students for collaborative activities. Both tools were tested in a real environment, presenting useful results. The authors carried experiments with students from three programs: physics, electrical engineering, and computer science. Experiments show that it is possible to use the proposed learning path to analyze student behavior patterns and recommend group formation with positive results.

scholarly journals The choice of customisation strategies in training: An overview of parameters and their systematisation

2021 ◽  
pp. 170-186
Author(s):  
Marina Anikieva
Keyword(s):  
Learning Process ◽  
Learning System ◽  
Learning Goals ◽  
Individual Student ◽  
Educational Strategies ◽  
Learning Materials ◽  
Educational Activities ◽  
Learning Path ◽  
Large Numbers ◽  
E Learning

This paper discusses the factors that determine the customisation of e-learning programmes. The process of customisation depends on many parameters, such as the objectives of the programme, the quantity and order of the learning materials, the personality and abilities of the student, and the resources within the learning system. Curriculum developers are able to put together these parameters in varying combinations, reflecting differing educational strategies. Because of this possibility it has become important to study how one can determine an appropriate strategy or learning path for any individual student. This is becoming particularly relevant because curriculum developers have to consider large numbers of already developed learning courses, modules, and technologies. One of the approaches to addressing this problem is the classification, or taxonomy, of customisation parameters. This paper reviews published material from highly-rated journals dealing with customisation of learning. As a result of this review the groups of customisation parameters are identified and a generalised scheme of grouped parameters, and their sequence, corresponding to the inner logic of the learning process are developed. This taxonomy allows the educational activities to be arranged so that learners can achieve their learning goals more efficiently.

Career Goal-based E-Learning Recommendation Using Enhanced Collaborative Filtering and PrefixSpan

2018 ◽  
Vol 10 (3) ◽  
pp. 23-37 ◽  
Author(s):  
Xueying Ma ◽  
Lu Ye
Keyword(s):  
Collaborative Filtering ◽  
Cold Start ◽  
Personalized Learning ◽  
Learning System ◽  
Career Goals ◽  
Learning Goals ◽  
Background Information ◽  
Learning Path ◽  
E Learning ◽  
Cold Start Problem

This article describes how e-learning recommender systems nowadays have applied different kinds of techniques to recommend personalized learning content for users based on their preference, goals, interests and background information. However, the cold-start problem which exists in traditional recommendation algorithms are still left over in e-learning systems and a few of them have seriously affected the learning goals of users. Thus, an intelligent e-learning system have been developed which can recommend professional and targeted courses according to their career goals. First, an enhanced collaborative filtering (CF) approach is proposed considering users' career goals and background information. Then, the relevance between career goals and courses are calculated to alleviate the cold-start problem and recommend specialized courses for users. Finally, a PrefixSpan algorithm is combined with the above methods to generate a personalized learning path step by step. Some experiments are carried out with real users of different professions to test the performance of the hybrid algorithm.

Factors Associated with students’ Intention to use E-Learning System: A Study from Public Universities of Lahore

2021 ◽  
Vol 9 (2) ◽  
pp. 167-173
Author(s):  
Shagufta Shaheen ◽  
Mubasher Muhammad Kamran ◽  
Saira Naeem ◽  
Tahir Mahmood
Keyword(s):  
Undergraduate Students ◽  
Public Universities ◽  
Positive Impact ◽  
Cross Sectional Study ◽  
Learning Systems ◽  
Learning System ◽  
Policy Implications ◽  
Intention To Use ◽  
Cross Sectional ◽  
E Learning

The study's primary purpose is to explore the factors affecting the students' intention to use e-learning systems in the COVID pandemic. The model of the “Unified theory of acceptance and use of technology” (UTAUT) was used as a theoretical underpinning. The Independent variables include “performance expectancy, effort expectancy, social influence, facilitating condition,” and the dependent variable is the intention to use e-learning systems. The quantitative data were collected from the postgraduate and undergraduate students of the public universities of Lahore. A total of n=411 students were approached, out of which the responses of only 399 were considered valid and were used for Multiple linear regression through SPSS 25. It was a cross-sectional study. It was found that almost all constructs of the model have a significant positive impact on intention to use e-learning systems.  The study's main contribution is exposing the factors that affect the acceptance and use of e-learning systems. This study has several policy implications for policy experts of higher education”.

scholarly journals POSSIBILITIES OF DEVELOPING INTERACTIVE E-LEARNING SYSTEM FOR BORDER GUARDS TRAINING IN THE STATE BORDER GUARD COLLEGE OF THE REPUBLIC OF LATVIA

2020 ◽  
Vol 3 (8) ◽  
pp. 45-53
Author(s):  
Mārtiņš Spridzāns ◽  
Jans Pavlovičs ◽  
Diāna Soboļeva
Keyword(s):  
Scientific Literature ◽  
Online Communication ◽  
The State ◽  
Learning Systems ◽  
Learning System ◽  
Digital Learning ◽  
E Learning ◽  
Research Findings ◽  
The Republic ◽  
Learning Development

Efficient use of educational technology and digital learning possibilities has always been the strategic area of high importance in border guards training at the State Border Guard College of Latvia. Recently, issues related to training during the Covid-19, have spurred and revived the discussion, topicality and practical need to use the potential of e-learning opportunities which brought up unexpected, additional, previously unsolved, unexplored, challenges and tasks to border guards training. New opportunities and challenges for trainers, learners and administration of training process both in online communication and learning administration contexts. In order to find out and define further e-learning development possibilities at the State Border Guard College the authors of this research explore the scientific literature on the current research findings, methodologies, approaches on developing interactive e-learning systems in educational contexts, particularly within the sphere of law enforcement. Based on scientific literature research findings authors put forward suggestions on improving the e-learning systems for border guards training.

scholarly journals INCA: A cognitive multi-agents architecture for designing intelligent & adaptive learning systems

2005 ◽  
Vol 2 (2) ◽  
pp. 99-114 ◽  
Author(s):  
Thierry Nabeth ◽  
Liana Razmerita ◽  
Albert Angehrn ◽  
Claudia Roda
Keyword(s):  
Knowledge Sharing ◽  
Adaptive Learning ◽  
Management Practices ◽  
Learning Systems ◽  
Learning System ◽  
Cognitive Agents ◽  
E Learning ◽  
Personal Agent ◽  
Adaptive Learning Systems ◽  
Multi Agents

This paper presents a cognitive multi-agents architecture called Intelligent Cognitive Agents (InCA) that was elaborated for the design of Intelligent Adaptive Learning Systems. The InCA architecture relies on a personal agent that is aware of the user's characteristics, and that coordinates the intervention of a set of expert cognitive agents (such as story telling agents, assessment agents, stimulation agents or help agents). This InCA architecture has been applied for the design of K"InCA, an e-learning system aimed at helping people to learn and adopt knowledge-sharing management practices.

Role of Usability in E-Learning System

2015 ◽  
pp. 295-312
Author(s):  
Muhammad Ahmad Amin ◽  
Saqib Saeed
Keyword(s):  
Web Application ◽  
Learning Systems ◽  
Learning System ◽  
Web Application Security ◽  
Usability Problems ◽  
Future Version ◽  
E Learning ◽  
Testing Techniques ◽  
User Friendly

Amongst open-source e-learning systems, WebGoat, a progression of OWASP, provides some room for teaching the penetration testing techniques. Yet, it is a major concern of its learners as to whether the WebGoat interface is user-friendly enough to help them acquaint themselves of the desired Web application security knowledge. This chapter encompasses a heuristic evaluation of this application to acquire the usability of contemporary version of WebGoat. In this context of evaluation, the in-house formal lab testing of WebGoat was conducted by the authors. The results highlight some important issues and usability problems that frequently pop-up in the contemporary version. The research results would be pivotal to the embedding of an operational as well as user-friendly interface for its future version.

Value-Satisfaction Grid of E-Learning Systems

2006 ◽  
pp. 116-122
Author(s):  
Yair Levy
Keyword(s):  
System Approach ◽  
Two Dimensions ◽  
Learning Systems ◽  
Learning System ◽  
Assessment Tools ◽  
Mediated Learning ◽  
Perceived Effectiveness ◽  
E Learning ◽  
Significant Achievement ◽  
Complete Set

This chapter provides the rationale of the first of three tools suggested in this book to assess value and satisfaction of e-learning systems in order to provide an assessment of the effectiveness of such systems. The other two tools are presented in the following chapter. The first tool proposed by the conceptual model is the Value-Satisfaction grid which aggregates the learners’ value and satisfaction with e-learning systems in order to indicate the learners’ perceived effectiveness of e-learning systems. The Value-Satisfaction grid also helps indicate the action and improvement priorities that are needed for the characteristics and dimensions of an e-learning system under study. A proposed method of aggregation of learners’ perceived value of e-learning systems and satisfaction with e-learning systems to construct the Value-Satisfaction grid and the two tools presented in the following chapter is also presented in this chapter. The understanding of the Value-Satisfaction grid provides the first building block toward a complete set of assessment tools of learners’ perceived effectiveness of e-learning systems. The development of this set of tools is a significant achievement as scholars have suggested that prior research in technology mediated learning (TML) lacked the overall system approach and concentrated only on one or two dimensions at a time (Alavi & Leidner, 2001a, p. 9).

Towards Increasing the Efficiency of E-Learning Systems Using Recommendation System Approach

2020 ◽  
pp. 35-55
Author(s):  
Zameer Gulzar ◽  
L. Arun Raj ◽  
A. Anny Leema
Keyword(s):  
System Approach ◽  
Recommendation System ◽  
Learning Systems ◽  
Learning Objectives ◽  
Learning System ◽  
E Learning ◽  
Flexible Delivery ◽  
Algorithmic Techniques ◽  
Information Optimization ◽  
Almost All

Data mining approaches have been tried in e-learning systems for information optimization and knowledge extraction to make decisions. In recent years, the recommendation system has gained popularity in every field be it e-commerce, entertainment, sports, healthcare, news, etc. However, in e-learning system, the recommender systems were not effectively utilized in comparison to other domains and thus emerged as a bottleneck for almost all e-learning systems for not offering flexible delivery of the learning resources. Current e-learning systems lack personalization features, and the information is presented in a static way despite their varying learning objectives and needs. The aim of recommender system is to personalize the information with respect to learner interest. The objective of this study is to highlight various algorithmic techniques that can be used to improve information retrieval process to provide effective recommendations to learners for improving their performance and satisfaction level.

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