scholarly journals A Knowledge Testing Production Model Based on a Cognitive Map for SWI-Prolog Applications

2015 ◽  
Vol 10 (6) ◽  
pp. 62
Author(s):  
Dmitry Ivanovich Popov ◽  
Olga Yurievna Lasareva
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Cognitive Map ◽  
Educational Process ◽  
Production Model ◽  
Student Knowledge ◽  
Tutoring Systems ◽  
E Learning ◽  
Electronic Education

In this paper, we describe the ways of improving knowledge assessment with the help of cognitive maps, made during the process of working with intelligent tutoring system “E-learning center — High-edu”. Cognitive map consists of didactic units — minimal units of knowledge about some discipline’s domain. This article shows, how they can be used in intelligent tutoring systems. The example of algorithm realization of forming the didactic units list from discipline cognitive map for consistency of test task presentation determining is shown. The operator model are presented in this paper, which can be helpful for researchers and engineers for using Prolog language for expert systems and knowledge management systems development as well as for support of educational process and the control of student knowledge that will allow achieving improvement of quality of electronic education.

scholarly journals Intelligent Tutoring Systems

2017 ◽  
Vol 26 (4) ◽  
pp. 717-727 ◽  
Author(s):  
Vladimír Bradáč ◽  
Kateřina Kostolányová
Keyword(s):  
Intelligent Tutoring Systems ◽  
Technological Development ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Point Of View ◽  
Tertiary Sector ◽  
Tutoring Systems ◽  
Number Of Ends ◽  
E Learning ◽  
Education Of Students

AbstractThe importance of intelligent tutoring systems has rapidly increased in past decades. There has been an exponential growth in the number of ends users that can be addressed as well as in technological development of the environments, which makes it more sophisticated and easily implementable. In the introduction, the paper offers a brief overview of intelligent tutoring systems. It then focuses on two types that have been designed for education of students in the tertiary sector. The systems use elements of adaptivity in order to accommodate as many users as possible. They serve both as a support of presence lessons and, primarily, as the main educational environment for students in the distance form of studies – e-learning. The systems are described from the point of view of their functionalities and typical features that show their differences. The authors conclude with an attempt to choose the best features of each system, which would lead to creation of an even more sophisticated intelligent tutoring system for e-learning.

scholarly journals Increasing the Adaptivity of an Intelligent Tutoring System with Educational Data Mining: A System Overview

2016 ◽  
Vol 11 (03) ◽  
pp. 67 ◽  
Author(s):  
Igor Jugo ◽  
Božidar Kovačić ◽  
Vanja Slavuj
Keyword(s):  
Data Mining ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Educational Data Mining ◽  
Knowledge Domain ◽  
Systems Architecture ◽  
Tutoring Systems ◽  
E Learning ◽  
Mining Tools

Intelligent Tutoring Systems (ITSs) are inherently adaptive e-learning systems usually created for teaching well-defined domains (e.g., mathematics). Their objective is to guide the student towards a predefined goal such as completing a lesson, task, or mastering a skill. Defining goals and guiding students is more complex in ill-defined domains where the expert defines the model of the knowledge domain or the students have freedom to follow their own path through it. In this paper we present an overview of our systems architecture that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.

scholarly journals The Acquisition of Context Data of Study Process and their Application in Classroom and Intelligent Tutoring Systems

2015 ◽  
Vol 18 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Janis Bicans
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Contextual Information ◽  
Sensor Data ◽  
Tutoring Systems ◽  
Handheld Device ◽  
Other Information ◽  
E Learning ◽  
Educational Paradigm ◽  
Study Process

Abstract Over the last decade, researchers are investigating the potential of the educational paradigm shift from the traditional “one-size-fits all” teaching approach to an adaptive and more personalized study process. Availability of fast mobile connections along with the portative handheld device evolution, like phones and tablets, enable teachers and learners to communicate and interact with each other in a completely different way and speed. The mentioned devices not only deliver tutoring material to the learner, but might also serve as sensors to provide data about the learning process itself, e.g., learning conditions, location, detailed information on learning of tutoring material and other information. This sensor data put into the context of the study process can be widely used to improve student experience in the classroom and e-learning by providing more precise and detailed information to the teacher and/or an intelligent tutoring system for the selection of an appropriate tutoring strategy. This paper analyses and discusses acquisition, processing, and application scenarios of contextual information.

scholarly journals Fuzzy Logic for Refining the Evaluation of Learners’ Performance in Online Engineering Education

2019 ◽  
Vol 4 (6) ◽  
pp. 50-56 ◽  
Author(s):  
Akrivi Krouska ◽  
Christos Troussas ◽  
Cleo Sgouropoulou
Keyword(s):  
Fuzzy Logic ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Educational Process ◽  
Logic Model ◽  
Traditional Learning ◽  
Student Centered ◽  
Student Centered Learning ◽  
Tutoring Systems

Intelligent tutoring systems have been widely used for optimizing the educational process by creating a student-centered learning environment. As a matter of fact, an integral part of intelligent tutoring systems is the evaluation of the learners’ performance. In traditional learning, the instructors calculate the grade of the students derived from the assessment units and other factors, such as the difficulty of the exercises or their effort, in order to produce the final students’ score in the course. However, in most cases, the evaluation of learners’ performance in intelligent tutoring systems takes place by calculating an average grade of students without taking into account the aforementioned factors. In view of the above, this paper presents a novel way for refining the evaluation of students’ performance using fuzzy logic. As a testbed for our research, we have designed and implemented an intelligent tutoring system holding social networking characteristic for teaching the engineering course of “Compilers”. More specifically, the system is responsible for acquiring information about students such as their grades, the kinds of misconceptions, the level of tests’ difficulty as well as their effort including their social interaction, i.e. participation in forums, making comments in posts and posting regarding the educational process. Taking these into consideration, fuzzy logic model diagnoses the accuracy of students’ grade and the system suggests that the instructor redefine students’ grade properly. Our system was evaluated using t-test and the results show high accuracy and objectivity in the evaluation of students’ performance.

scholarly journals A method for learning scenario determination and modification in intelligent tutoring systems

2011 ◽  
Vol 21 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Adrianna Kozierkiewicz-Hetmańska ◽  
Ngoc Nguyen
Keyword(s):  
Learning Styles ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Educational Process ◽  
Learning System ◽  
Optimal Learning ◽  
Tutoring Systems ◽  
Learning Path ◽  
E Learning ◽  
Using Data

A method for learning scenario determination and modification in intelligent tutoring systemsComputers have been employed in education for years. They help to provide educational aids using multimedia forms such as films, pictures, interactive tasks in the learning process, automated testing, etc. In this paper, a concept of an intelligent e-learning system will be proposed. The main purpose of this system is to teach effectively by providing an optimal learning path in each step of the educational process. The determination of a suitable learning path depends on the student's preferences, learning styles, personal features, interests and knowledge state. Therefore, the system has to collect information about the student, which is done during the registration process. A user is classified into a group of students who are similar to him/her. Using information about final successful scenarios of students who belong to the same class as the new student, the system determines an opening learning scenario. The opening learning scenario is the first learning scenario proposed to a student after registering in an intelligent e-learning system. After each lesson, the system tries to evaluate the student's knowledge. If the student has a problem with achieving an assumed score in a test, this means that the opening learning scenario is not adequate for this user. In our concept, for this case an intelligent e-learning system offers a modification of the opening learning scenario using data gathered during the functioning of the system and based on a Bayesian network. In this paper, an algorithm of scenario determination (named ADOLS) and a procedure for modifying the learning scenario AMLS with auxiliary definitions are presented. Preliminary results of an experiment conducted in a prototype of the described system are also described.

REQUIREMENTS FOR THE DEVELOPMENT OF ELECTRONIC EDUCATIONAL MATERIALS

2020 ◽  
Vol 20 (1) ◽  
pp. 9-17
Author(s):  
Aizhan Ibirayim kyzy ◽  
◽  
Askerbүbү Solpubashova ◽  
Salidin Kaldybaev ◽  
◽  
...  
Keyword(s):  
Electronic Materials ◽  
Educational Material ◽  
Educational Process ◽  
School Education ◽  
Quality Of Education ◽  
Kyrgyz Republic ◽  
Educational Materials ◽  
High Quality ◽  
E Learning

In the system of school education of the Kyrgyz Republic, the problem of developing electronic educational material and introducing it into the educational process of schools is becoming urgent. This goal allows the further implementation of the issue of computerization of school education. This article focuses on the quality of education. To achieve high-quality modern training, the use of electronic materials is required. Electronic materials must be designed in accordance with the rules. Therefore, the content of this article is aimed at revealing the importance of e-learning, at developing electronic materials, at characterizing the requirements for compiling electronic materials and the requirements for using electronic educational materials.

Using a Knapsack Model to Optimize Continuous Building of a Hybrid Intelligent Tutoring System

2016 ◽  
Vol 7 (2) ◽  
pp. 1-18 ◽  
Author(s):  
Maha Khemaja
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Time Budget ◽  
Core Competencies ◽  
Portable Devices ◽  
Dynamic Learning ◽  
Tutoring Systems ◽  
Fine Grained ◽  
Intelligent Decision Making ◽  
Knapsack Model

Intelligent Tutoring Systems (ITS) provide an alternative to the traditional “one size fits all” approach. Their main aim is to adapt learning content, activities and paths to support learners. Meanwhile, during the last decades, advances in lightweight, portable devices and wireless technologies had drastically impacted Mobile and Ubiquitous environments' development which has driven opportunities towards more personalized, context-aware and dynamic learning processes. Moreover, mobile and hand held devices could be advantageous to incremental learning, based on very short and fine grained activities and resources delivery. However, measuring efficiency and providing the most relevant combination/orchestration of learning activities, resources and paths remains and open and challenging problem especially for enterprises where choices and decisions face several constraints as time, budget, targeted core competencies, etc. This paper, attempts to provide a knapsack based model and solution in order to implement ITS's intelligent decision making about best combination and delivery of e-training activities and resources especially in the context of fast changing Information and Communication Technology (ICT) domain and its required skills. An android and OSGi based prototype is implemented to validate the proposal through some realistic use cases.

scholarly journals Intelligent Tutoring System

2020 ◽  
pp. 121-144
Author(s):  
Abhishek Singh Rathore ◽  
Siddhartha Kumar Arjaria
Keyword(s):  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
The Internet ◽  
Tutoring System ◽  
Time Data ◽  
Self Regulated Learning ◽  
Formal And Informal Learning ◽  
Real Time Data ◽  
E Learning ◽  
Teaching Learning

With digitization, a rapid growth is seen in educational technology. Different formal and informal learning contents are available on the internet. Intelligent tutoring system provides personalized e-learning to the learners. Different attributes like historical data, real-time data, behavioral, and cognitive are usually used for personalization. Based on the personalization, the intelligent tutoring system aims to provide easy and effective understanding. Recent research highlights the effect of learner's behavior and emotions on effective teaching-learning process. This chapter provides a brief description of the intelligent tutoring system, current developments, instructional techniques, proposed solution, and future recommendations. The emphasis of the study is to provide insights on self-regulated learning.

On quality assessment of electronic training course interfaces

2021 ◽  
pp. 11-17
Author(s):  
T. B. Larina
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Evaluation Criteria ◽  
Qualitative Evaluation ◽  
Educational Process ◽  
Educational Resources ◽  
Human Machine Interaction ◽  
Software Products ◽  
E Learning

The development of e-learning, both in distance and mixed forms, becomes especially relevant in the modern educational process. A high-quality e-learning course is developed through the efforts of two parties: the teacher, who creates the methodological content, and the programmer, who creates the electronic shell of the course. The article substantiates the importance of quality issues in the development of a user interface for electronic educational resources, since the user of an electronic course deals with the direct implementation of educational material. The indicators for assessing the quality of software products in accordance with international and Russian standards and their applicability for assessing user interfaces of electronic educational resources are analyzed. The conclusion is made about the importance of the indicator “practicality” in relation to this type of software product as an indicator of an individual evaluation of the use of a product by a certain user or circle of users. The classical methods for assessing the quality of the human-machine interaction interface and the applicability of experimental and formal methods for assessing quality are considered. The analysis of modern approaches to the design of user interfaces based on UX/UI design is given. An assessment of the requirements and criteria for assessing the user interface from the standpoint of modern design is given. The tasks and features of the UX and UI components of the design process are analyzed. The essence of the modern term “usability” as an indicator of the interface evaluation is explained, and the qualitative evaluation criteria for this indicator are considered. The concept of UX testing is given, the main stages of this process are considered. The importance of taking into account the subjective psychological factors of interface perception is substantiated. The indicators for assessing the quality of user interfaces, based on the cognitive factors of its perception by a person, are analyzed.

Sign in / Sign up

Export Citation Format

Share Document