scholarly journals Integration of recommendations and adaptive hypermedia into java tutoring system

2011 ◽  
Vol 8 (1) ◽  
pp. 211-224 ◽  
Author(s):  
Aleksandra Klasnja-Milicevic ◽  
Boban Vesin ◽  
Mirjana Ivanovic ◽  
Zoran Budimac
Keyword(s):  
Recommender System ◽  
Learning System ◽  
Learning Material ◽  
Tutoring System ◽  
Adaptive Hypermedia ◽  
Web Based ◽  
Adaptive Programming ◽  
E Learning ◽  
Personalized Approach ◽  
Programming Courses

A way to improve the effectiveness in e-learning is to offer the personalized approach to the learner. Adaptive e-learning system needs to use different strategies and technologies to predict and recommend the most likely preferred options for further learning material. This can be achieved by recommending and adapting the appearance of hyperlinks or simply by recommending actions and recourses. This paper presents an idea for integration of such recommender system into existing web-based Java tutoring system in order to provide various adaptive programming courses.

Web Based E-Learning System for C-Language

2013 ◽  
Vol 427-429 ◽  
pp. 2870-2873
Author(s):  
Lian Xi Hong ◽  
Chuan Mu Li
Keyword(s):  
Learning System ◽  
Learning Goals ◽  
Online Course ◽  
Tutoring System ◽  
Web Based ◽  
C Language ◽  
Course Materials ◽  
Integrated Environment ◽  
E Learning ◽  
Exam System

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.

scholarly journals ANALISIS DAN EVALUASI REKOMENDASI E-LEARNING BERBASIS OPEN SOURCE (STUDI KASUS: SMKN XYZ BANDUNG)

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Arief Samuel Gunawan ◽  
Herastia Maharani ◽  
Karen K Tatuh
Keyword(s):  
Open Source ◽  
Online Discussion ◽  
Learning Systems ◽  
Learning System ◽  
Learning Activities ◽  
Learning Material ◽  
Web Based ◽  
Analysis And Evaluation ◽  
System Recommendation ◽  
E Learning

SMKN XYZ is a vocational institution located in Bandung. In performing learning activities, SMKN XYZ implemented e-learning systems, namely Edmodo and school website, to complement and support daily learning activities. E-learning system is used as a solution when teachers could not attend the class. But in reality, it was found that both Edmodo and school website have relatively similar features and functions in use. Furthermore, it was found from interviews and questionnaire results that both existing applications were lacking of several necessary features such as chatting and math equation features. Therefore, an analysis and evaluation of e-learning system recommendation will be conducted in this research. There are 5 main requirements of SMKN XYZ regarding e-learning implementation, which were found from the interviews and questionnaire, namely learning material online sharing, online discussion, online assignment, online quiz and online announcement. Moodle is a web-based open source e-learning application. Using Moodle could support online learning activities and meet the 5 main requirements of SMKN XYZ, by providing features such as access to learning materials, assignment, quiz, discussion and other important informations, including chatting and math equation features which were not available in Edmodo and school website.

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari
Keyword(s):  
Learning Style ◽  
Recommender System ◽  
Adaptive Learning ◽  
Learning Objects ◽  
Research Field ◽  
Learning System ◽  
K Nearest Neighbors ◽  
E Learning ◽  
Hybrid Recommender System ◽  
Hybrid Recommender

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.

scholarly journals Pengembangan Sistem Pembelajaran Berbasis Multimedia

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Suryanto Suryanto ◽  
Sunda Ariana ◽  
Syahril Rizal
Keyword(s):  
Information Technology ◽  
Positive Influence ◽  
Learning System ◽  
Learning Material ◽  
Literature Study ◽  
Multimedia Development ◽  
E Learning ◽  
The Media ◽  
Indispensable Tool ◽  
Audio Video

Currently the development of information technology has an important influence in the development of learning systems, one of which is technology in the multimedia field. Multimedia technology is an indispensable tool for the learning process. The use of text, images, audio, video, and animation in learning helps students to quickly understand learning material. Multimedia also provides opportunities for educators to develop learning methods so that they get maximum results. AMIK AKMI Baturaja is a computer college that has not fully utilized information technology in its learning, especially in the field of Multimedia. For this reason, researchers conducted this research for the development of learning at the Campus AMIK AKMI Baturaja. This study aims to produce a multimedia-based learning media at AMIK AKMI Baturaja which can be a driving force for student learning achievement. In this study using a research method of literature study, observation, questionnaires, and interviews. The media development method uses MDLC (Multimedia Development Life Cycle) which consists of six stages, namely concept (needs analysis), design (design), material collecting, assembly, testing, and distribution. . The result of this research is a multimedia-based learning system presented in the form of e-learning. This media is expected to have a positive influence in increasing student achievement and learning independence.

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.

Securing the Infrastructure for Service-Based E-Learning Environments

2011 ◽  
pp. 1-24
Author(s):  
Simon Schwingel ◽  
Gottfried Vossen ◽  
Peter Westerkamp
Keyword(s):  
Web Services ◽  
Learning Environment ◽  
Learning Environments ◽  
User Authentication ◽  
Learning Objects ◽  
Learning System ◽  
Learning Material ◽  
Single Sign On ◽  
User Data ◽  
E Learning

E-learning environments and their system functionalities resemble one another to a large extent. Recent standardization efforts in e-learning concentrate on the reuse of learning material only, but not on the reuse of application or system functionalities. The LearnServe system, under development at the University of Muenster, builds on the assumption that a typical learning system is a collection of activities or processes that interact with learners and suitably chosen content, the latter in the form of learning objects. This enables us to divide the main functionality of an e-learning system into a number of stand-alone applications or services. The realization of these applications based on the emerging technical paradigm of Web services then renders a wide reuse of functionality possible, thereby giving learners a higher flexibility of choosing content and functionalities to be included in their learning environment. In such a scenario, it must be possible to maintain user identity and data across service and server boundaries. This chapter presents an architecture for implementing user authentication and the manipulation of user data across several Web services. In particular, it demonstrates how to exploit the SPML and SAML standards so that cross-domain single sign-on can be offered to the users of a service-based learning environment. The chapter also discusses how this is being integrated into LearnServe.

Facilitating Learning Resource Retrieval for Students with Disabilities through an Ontology-Driven and Disability-Aware Virtual Learning Environment

2015 ◽  
Vol 5 (3) ◽  
pp. 75-98 ◽  
Author(s):  
Julius T. Nganji ◽  
Mike Brayshaw
Keyword(s):  
Students With Disabilities ◽  
Virtual Learning ◽  
Relevant Information ◽  
Virtual Learning Environment ◽  
Learning System ◽  
Educational Institutions ◽  
Technology In Education ◽  
Learning Materials ◽  
Web Based ◽  
E Learning

Existing virtual learning environments (VLEs) in educational institutions are not designed with the expectation that students with disabilities will use them. Consequently, retrieving relevant information by some students with disabilities is a challenging task. The focus of this study was to propose the design of VLEs to incorporate ontologies that facilitate information retrieval by students with disabilities in their learning, thus serving as a semantic web-based assistive technology in education. An Ontology-Driven Disability-Aware Personalised E-Learning System (ONTODAPS) was designed and then used to recommend specific learning materials to learners based on their learning goal and disability type. Preliminary results of the evaluation of ONTODAPS, by 30 students with disabilities, indicate that 70% of the participants found ONTODAPS to offer a better personalisation, better access to learning materials (68%) and is easier to use (63%) in retrieving learning materials than Sakai. Thus ONTODAPS serves as an assistive tool in their education through retrieval of relevant learning materials in a suitable format which is compatible with their disability.

An Intelligent System for Predicting a User Access to a Web Based E-Learning System Using Web Mining

2020 ◽  
Vol 15 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Data Analytics ◽  
Web Mining ◽  
Intelligent System ◽  
Learning System ◽  
Web Based ◽  
Challenging Tasks ◽  
E Learning ◽  
User Access ◽  
Near Future ◽  
A Company

In this Internet era, with ever-increasing interactions among participants, the size of the data is increasing so rapidly such that the information available to us in the near future is going to be unpredictable. Modeling and visualizing such data are one of the challenging tasks in the data analytics field. Therefore, business intelligence is the way in which a company can use data to improve business and operational efficiency whereas data analytics involves improving ways of making intelligence out of that data before acting on it. Thus, the proposed work focuses on prevailing challenges in data analytics and its application on social media like Facebook, Twitter, blogs, e-commerce, e-service and so on. Among all of the possible interactions, e-commerce, e-education, and e-services have been identified as important domains for analytics techniques. So, it focuses on machine learning technique in improving practice and research in such e-X domains. Empirical analysis is done to show the performance of proposed system using real-time datasets.

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