Enhanced Speech-Enabled Tools for Intelligent and Mobile E-Learning Applications

2012 ◽  
pp. 1913-1932
Author(s):  
S- A. Selouani ◽  
T-H. Lê ◽  
Y. Benahmed ◽  
D. O’Shaughnessy

Web-based learning is rapidly becoming the preferred way to quickly, efficiently, and economically create and deliver training or educational content through various communication media. This chapter presents systems that use speech technology to emulate the one-on-one interaction a student can get from a virtual instructor. A Web-based learning tool, the Learn IN Context (LINC+) system, designed and used in a real mixed-mode learning context for a computer (C++ language) programming course taught at the Université de Moncton (Canada) is described here. It integrates an Internet Voice Searching and Navigating (IVSN) system that helps learners to search and navigate both the web and their desktop environment through voice commands and dictation. LINC+ also incorporates an Automatic User Profile Building and Training (AUPB&T) module that allows users to increase speech recognition performance without having to go through the long and fastidious manual training process. New Automated Service Agents based on the Artificial Intelligence Markup Language (AIML) are used to provide naturalness to the dialogs between users and machines. The portability of the e-learning system across a mobile platform is also investigated. The findings show that when the learning material is delivered in the form of a collaborative and voice-enabled presentation, the majority of learners seem to be satisfied with this new media, and confirm that it does not negatively affect their cognitive load.

Author(s):  
S. A. Selouani ◽  
T. H. Lê ◽  
Y. Benahmed ◽  
D. O’Shaughnessy

Web-based learning is rapidly becoming the preferred way to quickly, efficiently, and economically create and deliver training or educational content through various communication media. This chapter presents systems that use speech technology to emulate the one-on-one interaction a student can get from a virtual instructor. A Web-based learning tool, the Learn IN Context (LINC+) system, designed and used in a real mixed-mode learning context for a computer (C++ language) programming course taught at the Université de Moncton (Canada) is described here. It integrates an Internet Voice Searching and Navigating (IVSN) system that helps learners to search and navigate both the web and their desktop environment through voice commands and dictation. LINC+ also incorporates an Automatic User Profile Building and Training (AUPB&T) module that allows users to increase speech recognition performance without having to go through the long and fastidious manual training process. New Automated Service Agents based on the Artificial Intelligence Markup Language (AIML) are used to provide naturalness to the dialogs between users and machines. The portability of the e-learning system across a mobile platform is also investigated. The findings show that when the learning material is delivered in the form of a collaborative and voice-enabled presentation, the majority of learners seem to be satisfied with this new media, and confirm that it does not negatively affect their cognitive load.


Biosfer ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 1-9
Author(s):  
Muhamad Nurdin Matondang Seribulan ◽  
Sri Rahayu ◽  
Hanum Isfaeni

Web-based learning has been widely used as learning resources. Developing these learning resources is believed to provide beneficial for students. Therefore, this research was aimed to develop a web-based learning source for General Biology Course. It was developed by Joomla software version 1.5.6. This program was run and supported by Xampp version 1.6.1. in which Apache 2.2.4.. MySQL 5.0.37., and PHP version 5.2.1. were also included to offline program running support. The research was conducted on September – November 2012 in General Biology Course, Biology Department, Faculty of Mathematics and Science, State University of Jakarta. Material contents developed in this web were limited to animal structure. Samples were consisted of students, media expert, and learning material expert. Data were obtained through questionnaires. According to students, the material classified as very good (82.5%), whether 5 five other components including content (79.48%), visual design (70.33%), structure and navigation (76.94%), and interaction (78.67%) were categorized as good. Based on media expert assessment, the web content was classified as very good (81.25%), while the other components including web material (75%), visual design (70%), structure and navigation (70.83%), and also interaction (80%) were categorized as good. Lastly, this product was assessed by the learning material expert who categorized good for the following components: web material (75%), content (78.13), visual design (75%), structure and navigation (79.19%). The only component which got fair score was interaction (50%). Although most of the components were classified as good, some aspects of this web must be repaired.


2020 ◽  
Vol 11 (2) ◽  
pp. 366-370
Author(s):  
Ilia Dinev ◽  
◽  
Nadka Dineva ◽  

E-learning refers to the e-learning process and includes: web-based learning, virtual classroom articles and digital collaboration. The advantage of communication between teachers and students via electronic media is the accessible variety of online resources that give engagement and conscious perception of the learning material.


2019 ◽  
Author(s):  
Abdul Haris Indrakusuma

This research was aimed to see the improvement of students’ mastery on concept in learning by using Sequential Learning Style type which was done by combining online instruction and face to face as the supplementary learning. The data was taken from 30 students who took Learning Material Development course in the Information and Technology Education Department of STKIP PGRI Tulungagung in the semester 4 on 2016. This learning was done by using Personalization of Web-Based Learning of Sequential Learning Style Type in which Dokeos was chosen as the e-learning program. The data was collected by using Likert scale of four categories, that is, excellent mastery, good mastery, fair mastery and poor mastery. Based on the data collected from the respondents, it can be concluded that students’ level of mastery is high. 70% of the students stated that they have excellent mastery on the material and 30% of the students stated that they have good mastery on the material. It showed that this strategy can improve the concept of mastery in learning. The finding, therefore, can be used as the basis to develop new strategy in the learning process by using web-based learning personalization


2019 ◽  
Author(s):  
Abdul Haris Indrakusuma

This research was aimed to see the improvement of students’ mastery on concept in learning by using Sequential Learning Style type which was done by combining online instruction and face to face as the supplementary learning. The data was taken from 30 students who took Learning Material Development course in the Information and Technology Education Department of STKIP PGRI Tulungagung in the semester 4 on 2016. This learning was done by using Personalization of Web-Based Learning of Sequential Learning Style Type in which Dokeos was chosen as the e-learning program. The data was collected by using Likert scale of four categories, that is, excellent mastery, good mastery, fair mastery and poor mastery. Based on the data collected from the respondents, it can be concluded that students’ level of mastery is high. 70% of the students stated that they have excellent mastery on the material and 30% of the students stated that they have good mastery on the material. It showed that this strategy can improve the concept of mastery in learning. The finding, therefore, can be used as the basis to develop new strategy in the learning process by using web-based learning personalization.


Author(s):  
M. Waseem Chughtai ◽  
Imran Ghani ◽  
Ali Selamat ◽  
Seung Ryul Jeong

Web-based learning or e-Learning in contrast to traditional education systems offer a lot of benefits. This article presents the Goal-based Framework for providing personalized similarities between multi users profile preferences in formal e-Learning scenarios. It consists of two main approaches: content-based filtering and collaborative filtering. Because only traditional content-based filtering is not sufficient to generate the recommendations for new-users, therefore, the proposed work hybridized multi user's collaborative filtering functionalities with personalized content-based profile preferences filtering. The main purpose of this proposed work is to (a) overcome the user-based cold-start profile recommendations and (b) improve the recommendations accuracy for new-users in formal e-learning recommendation systems. The experimental has been done by using the famous ‘MovieLens' dataset with 15.86% density of the user-item matrix with respect to ratings, while the evaluation of experimental results have been performed with precision mean and recall mean to test the effectiveness of Goal-based personalized recommendation framework. The Experimental result Precision: 81.90% and Recall: 86.56% show that the proposed framework goals performed well for the improvement of user-based cold-start issue as well as for content-based profile recommendations, using multi users personalized collaborative similarities, in formal e-Learning scenarios effectively.


2013 ◽  
Vol 11 (3) ◽  
pp. 12-31 ◽  
Author(s):  
Maria De Marsico ◽  
Andrea Sterbini ◽  
Marco Temperini

The educational concept of “Zone of Proximal Development”, introduced by Vygotskij, stems from the identification of a strong need for adaptation of the learning activities, both traditional classroom and modern e-learning ones, to the present state of learner’s knowledge and abilities. Furthermore, Vygotskij’s educational model includes a strong bent towards social and collaborative learning. The joint answer to these two trends can be concretely implemented through a tight integration between personalized learning paths and collaborative learning activities. Along this line, the authors designed the combination of the functions of two pre-existing prototypes of web-based systems, to investigate how the above integration can merge adaptive and social e-learning. LECOMPS is a web-based e-learning environment for the automated construction of adaptive learning paths. SOCIALX is a web-based system for shared e-learning activities, which implements a reputation system to provide feedback to its participants. The authors propose a two-way tunneling strategy to integrate the above prototypes. The result is twofold: on the one hand the use of the student model supported by LECOMPS in an adaptive e-learning course is extended to support choosing exercise activities delivered through SOCIALX; on the other hand the reputation and the skills gained during social-collaborative activities are used to update the student model. Under the social perspective induced by the integration, the authors present a mapping between the student model and the definition of Vygotskij’s Autonomous Problem Solving and Proximal Development regions, with the aim to provide the learner with better guidance, especially in the selection of available social learning activities.


Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.


2013 ◽  
Vol 427-429 ◽  
pp. 2870-2873
Author(s):  
Lian Xi Hong ◽  
Chuan Mu Li

This paper introduces a Web-based tutoring system for computer programming that provides an integrated environment for web programming. The proposed system is web-based. It provides an online editor for writing, editing, updating, and executing programming code, so the students can execute examples and practical exercises online, it can help a student navigate through the online course materials, recommend learning goals, and generate appropriate reading sequences.. In addition, it provides auto complete and syntax highlighting in editing code, which could help students to remember the syntax more easily. The proposed system provides communication and interactive forum among students and teachers. And it provides the teachers with an online exam system. It monitors, collects and keeps information about students performance and activities. Therefore, teachers can use the recorded information to keep tracking of the students progress.


2013 ◽  
Vol 19 (4) ◽  
pp. 287 ◽  
Author(s):  
Marie Heartfield ◽  
Andrea Morello ◽  
Melanie Harris ◽  
Sharon Lawn ◽  
Vincenza Pols ◽  
...  

Practice nurses in Australia are now funded to facilitate chronic condition management, including self-management support. Chronic disease management requires an established rapport, support and proactivity between general practitioners, patients and the practice nurses. To achieve this, training in shared decision making is needed. e-Learning supports delivery and achievement of such policy outcomes, service improvements and skill development. However, e-learning effectiveness for health care professionals’ is determined by several organisational, economic, pedagogical and individual factors, with positive e-learning experience linked closely to various supports. This paper reinforces previous studies showing nurses’ expanding role across general practice teams and reports on some of the challenges of e-learning. Merely providing practice nurses with necessary information via web-based learning systems does not ensure successful learning or progress toward improving health outcomes for patients.


Sign in / Sign up

Export Citation Format

Share Document