Improvement of Self-Assessment Effectiveness by Activity Monitoring and Analysis

2012 ◽  
pp. 1779-1798
Author(s):  
Dumitru Dan Burdescu ◽  
Marian Cristian Mihaescu
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Input Data ◽  
Software System ◽  
Business Logic ◽  
Self Assessment ◽  
Student Activities ◽  
Learning Platform ◽  
Engineering Department ◽  
E Learning

Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter is to present a recommender software system that runs along the e-learning platform. The recommender software system improves the effectiveness of self-assessment activities. The activities performed by learners represent the input data and the machine learning algorithms are used within the business logic of the recommender software system that runs along the e-learning platform. The output of the recommender software system is represented by advice given to learners in order to improve the effectiveness of self-assessment process. The methodology for obtaining improvement of self-assessment is based on embedding knowledge management into the business logic of the e-learning platform. Naive Bayes Classifier is used as machine learning algorithm for obtaining the resources (e.g., questions, chapters, and concepts) that need to be further accessed by learners. The analysis is accomplished for disciplines that are well structured according to a concept map. The input data set for the recommender software system is represented by student activities that are monitored within Tesys e-learning platform. This platform has been designed and implemented within Multimedia Applications Development Research Center at Software Engineering Department, University of Craiova. Monitoring student activities is accomplished through various techniques like creating log files or adding records into a table from a database. The logging facilities are embedded in the business logic of the e-learning platform. The e-learning platform is based on a software development framework that uses only open source software. The software architecture of the e-learning platform is based on MVC (model-view-controller) model that ensures the independence between the model (represented by MySQL database), the controller (represented by the business logic of the platform implemented in Java) and the view (represented by WebMacro which is a 100% Java open-source template language).

Improvement of Self-Assessment Effectiveness by Activity Monitoring and Analysis

2010 ◽  
pp. 198-217
Author(s):  
Dumitru Dan Burdescu ◽  
Marian Cristian Mihaescu
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Input Data ◽  
Software System ◽  
Business Logic ◽  
Self Assessment ◽  
Student Activities ◽  
Learning Platform ◽  
Engineering Department ◽  
E Learning

Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter is to present a recommender software system that runs along the e-learning platform. The recommender software system improves the effectiveness of self-assessment activities. The activities performed by learners represent the input data and the machine learning algorithms are used within the business logic of the recommender software system that runs along the e-learning platform. The output of the recommender software system is represented by advice given to learners in order to improve the effectiveness of self-assessment process. The methodology for obtaining improvement of self-assessment is based on embedding knowledge management into the business logic of the e-learning platform. Naive Bayes Classifier is used as machine learning algorithm for obtaining the resources (e.g., questions, chapters, and concepts) that need to be further accessed by learners. The analysis is accomplished for disciplines that are well structured according to a concept map. The input data set for the recommender software system is represented by student activities that are monitored within Tesys e-learning platform. This platform has been designed and implemented within Multimedia Applications Development Research Center at Software Engineering Department, University of Craiova. Monitoring student activities is accomplished through various techniques like creating log files or adding records into a table from a database. The logging facilities are embedded in the business logic of the e-learning platform. The e-learning platform is based on a software development framework that uses only open source software. The software architecture of the e-learning platform is based on MVC (model-view-controller) model that ensures the independence between the model (represented by MySQL database), the controller (represented by the business logic of the platform implemented in Java) and the view (represented by WebMacro which is a 100% Java open-source template language).

scholarly journals Multi-Agent System Observer: Intelligent Support for Engaged E-Learning

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1370
Author(s):  
Igor Vuković ◽  
Kristijan Kuk ◽  
Petar Čisar ◽  
Miloš Banđur ◽  
Đoko Banđur ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Algorithms ◽  
Intelligent Support ◽  
Course Success ◽  
States Of Emergency ◽  
Learning Platform ◽  
Rapid Spread ◽  
E Learning ◽  
Multi Agent ◽  
Observer System

Moodle is a widely deployed distance learning platform that provides numerous opportunities to enhance the learning process. Moodle’s importance in maintaining the continuity of education in states of emergency and other circumstances has been particularly demonstrated in the context of the COVID-19 virus’ rapid spread. However, there is a problem with personalizing the learning and monitoring of students’ work. There is room for upgrading the system by applying data mining and different machine-learning methods. The multi-agent Observer system proposed in our paper supports students engaged in learning by monitoring their work and making suggestions based on the prediction of their final course success, using indicators of engagement and machine-learning algorithms. A novelty is that Observer collects data independently of the Moodle database, autonomously creates a training set, and learns from gathered data. Since the data are anonymized, researchers and lecturers can freely use them for purposes broader than that specified for Observer. The paper shows how the methodology, technologies, and techniques used in Observer provide an autonomous system of personalized assistance for students within Moodle platforms.

Software Tools Used in Math Refresher Courses at the University of Alcalá, Spain

2012 ◽  
pp. 327-349
Author(s):  
J.G. Alcázar ◽  
M. Marvá ◽  
D. Orden ◽  
F. San Segundo
Keyword(s):  
Mathematics Education ◽  
The Other ◽  
Sufficient Information ◽  
Software System ◽  
General Description ◽  
Software Suite ◽  
Learning Platform ◽  
E Learning ◽  
The One ◽  
The University

We describe our experience of using the following mathematical tools: an e-learning platform (Moodle), several components of the WIRIS software suite for mathematics education (the formula editor, WIRIS CAS, and WIRIS-Quizzes), the dynamical geometry package GeoGebra, the computational knowledge engine Wolfram Alpha, and the mathematics software system SAGE. Our aim in this chapter is two-fold: on the one hand, we report the use of these tools in Math refresher courses. On the other, we provide sufficient information about them for readers to decide on the usefulness of these tools in their own particular context (maybe different from that of a refresher course). More specifically, for each tool we give a general description, some comments on its use in Math refresher courses, and a list of (general) advantages and drawbacks.

scholarly journals An e-Learning Model for Teaching Mathematics on an Open Source Learning Platform

2018 ◽  
Vol 19 (5) ◽  
Author(s):  
Jeong Yong Ahn ◽  
Akugizibwe Edwin
Keyword(s):  
Open Source ◽  
Social Constructivism ◽  
Learning Model ◽  
Learning Objects ◽  
Vital Role ◽  
Learning Theories ◽  
Learning Platform ◽  
Control Learning ◽  
E Learning ◽  
And Control

Throughout the world, mathematics plays a vital role for the educational and developmental aspirations of any country. The quest to teach mathematical knowledge in a viable and effective way so as to induce creativity and applicability among learners is an ongoing challenge, especially for developing countries. A better understanding of how students learn mathematics coupled with effective application of mathematical e-learning can enhance meaningful learning of mathematics and make the subject more exciting. In this note, we introduce a mathematical e-learning model suitable for the modern digital era based on the learning theories of social constructivism, social realism, and connectivity. We then discuss the feasibility of implementing the model on an open source e-learning platform. Our findings reveal that the platform offers a developer’s tool for coding and customizing templates to attain higher levels of usage and interactivity in which learners can create and control learning objects while they observe the results.   

OWLearn: An open source e-learning platform supporting adaptivity and personalization

2012 ◽  
Vol 6 (2) ◽  
pp. 97-104 ◽  
Author(s):  
Dimitrios Tsolis ◽  
Paraskevi Christia ◽  
Soultana Kampana ◽  
Eleftherios Polychronopoulos ◽  
Aglaia Liopa ◽  
...  
Keyword(s):  
Open Source ◽  
Learning Platform ◽  
E Learning

scholarly journals Textual and Visual Aids for E-learning Translation Courses*

2009 ◽  
Vol 50 (4) ◽  
Author(s):  
María Isabel Tercedor-Sánchez ◽  
Clara Inés López-Rodríguez ◽  
Bryan Robinson
Keyword(s):  
Information Society ◽  
Virtual Classroom ◽  
Visual Aids ◽  
Learning Context ◽  
Self Assessment ◽  
Translation Process ◽  
Learning Platform ◽  
E Learning ◽  
Previous Design ◽  
Learning Focused

Abstract The methodology of an e-learning course is based on the strategies of proactive learning, focused on the student as the key element of an approach to training in which the teacher acts as a facilitator of the learning process. Within the context of the design of a translation course in an e-learning context, the teacher must bear in mind that the student is faced with tasks that require the previous design of aids that help both in the translation process and in the acquisition of field knowledge to carry them out. Furthermore, the design should reflect the new multimedia structures that the information society has brought about. We present a series of activities generated with both visual and textual material implemented in the design of e-learning courses in audiovisual translation (subtitling and multimedia), technical and scientific translation. One of the courses is accessible through the WebCT e-learning platform, another uses the BSCWTM collaborative learning platform and the virtual classroom www.aulaint.ugr.es. The activities are intended to be of use for other subjects too, since they facilitate communication between students and act at the levels of lexical, phraseological, textual and cultural competence. Emphasis is put on the students’ self-assessment of their progress.

A Math E-Learning Course to Improve Pupils’ Performances

2013 ◽  
pp. 763-771
Author(s):  
Sandro Gallea ◽  
Roberto Gallea
Keyword(s):  
Open Source ◽  
Learning Activity ◽  
Cooperative Approach ◽  
School Year ◽  
Learning Platform ◽  
E Learning ◽  
The Subject ◽  
Teaching Learning ◽  
Academic Year

This chapter presents an e-learning teaching/learning activity to support the traditional activities at school. It was developed as a part of a P.O.R. project (Piano Operativo Regionale) of the Regione Sicilia for the Mathematics subject. The experiment was conducted at Libero Grassi school (Istituto Tecnico Commerciale Statale) in Palermo, Italy. The designated e-learning platform is the open source system, Moodle. The main purpose of the formative activity is to reduce students’ educational gap, which may generate “educational debits” at the end of the school year. If the students do not overcome these debits, they are not admitted to the next year. This activity took place during the second four-month term of the 2010/11 academic year. Results were excellent; no students had any educational debits. There was also an improvement in the students’ attitude towards the subject in the collaborative and cooperative approach between the students and the teacher. It was also positive for the rest of the class.

Open-Source Online Knowledge Portals for Education

2011 ◽  
pp. 684-688
Author(s):  
Phillip Olla ◽  
Rod Crider
Keyword(s):  
Open Source ◽  
Management Systems ◽  
Course Management Systems ◽  
Software System ◽  
Course Management ◽  
E Learning ◽  
Intuitive Interface

The open-source community has created a broad suite of educational and e-learning course management systems (CMS) referred to as educational knowledge portals (EKP). An EKP is a software system designed to aid instructors in the management of online educational courses for their students, especially by helping teachers and learners with course administration. These systems make it possible for a course designer to present to students, through a single, consistent, and intuitive interface, all the components required for a course of education or training.

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