scholarly journals Model of Adaptive Learning and His Implementation

2020 ◽  
Vol 10 (3) ◽  
pp. 39-52
Author(s):  
D.A. Pominov
Keyword(s):  
Web Service ◽  
Learning Process ◽  
Adaptive Learning ◽  
Adaptive Testing ◽  
Practical Skills ◽  
E Learning ◽  
Level Of Knowledge ◽  
Testing Approach ◽  
Level Of Training

The presented project is aimed at automating the e-learning process regarding the acquisition of practical skills for solving non-formalized tasks, determining the level of knowledge and reducing the duration of training by reducing the number of tasks depending on the level of training. To meet these requirements, an adaptive testing approach was implemented and “Adaptive trainer” web-service was implemented to demonstrate how it works.

Adaptive trainer for preparing students for math exams

2021 ◽  
Author(s):  
D.A. Pominov
Keyword(s):  
Learning Process ◽  
Creative Thinking ◽  
Markov Models ◽  
Standard Technique ◽  
Adaptive Testing ◽  
Self Study ◽  
Similar Theme ◽  
E Learning ◽  
Level Of Knowledge ◽  
Level Of Training

Due to the specificity of organizing the learning process in school classes, often students do not have enough time for a practice to solve tasks (like a math or in similar theme) under the supervision of a teacher. In this case, using the services of tutors or selftraining. In recent years, online educational services have become most popular for self-learning. This approach has some limitations, one of which is the inability to individually configure for a specific user. The presented project is aimed at automating the process of e-learning, regarding the acquisition of practical skills in solving mathematical tasks, determining the level of knowledge and reducing the duration of training by reducing the number of tasks depending on the level of training (adaptability). An adaptive testing approach has been implemented to satisfy these requirements. The created Markov models of adaptive testing became the basis for the development of an adaptive trainer for teaching nonformalized skills and abilities necessary for solving mathematical and other problems of sufficiently high complexity that require mastering both the standard technique of constructing reasoning and elements of creative thinking. A web service has been developed to demonstrate how it works. First of all, an adaptive trainer is considered the most effective in cases where it is necessary to order the knowledge and skills, such as to prepare for exams when solving non-formalized tasks (mathematical, technical, algorithmic, etc.). This service is not a substitute for a teacher, but rather complements the existing learning process, expanding the possibilities for self-study.

E-World

2011 ◽  
pp. 9-25
Author(s):  
Filomena Ferrucci ◽  
Giuseppe Scanniello ◽  
Genoveffa Tortora
Keyword(s):  
Web Service ◽  
Adaptive Learning ◽  
Reference Model ◽  
Visual Language ◽  
Learning Processes ◽  
Web Browser ◽  
Learning Platform ◽  
Adaptive Processes ◽  
E Learning ◽  
Content Object

In this chapter the authors present E-World, an e-learning platform able to manage and trace adaptive learning processes which are designed and created by means of a visual language based tool. To address the goal to have a platform easily extensible with new services, they have designed it selecting a software architecture based on the use of Web Services and a suitable Middleware component. To trace adaptive learning processes E-World also integrates as Web Service a suitable implementation of a Run- Time Environment compliant with the Sharable Content Object Reference Model (SCORM) standard. Their proposal also supports the “anytime and anywhere” learning paradigm as it enables learners to enjoy linear or adaptive processes using any device equipped with a standard Web browser. In the chapter they also report on the experiment we have carried out to assess the usability of the proposed e-learning platform.

Adaptive Learning Cycle to Improve the Competence-Building for Enterprise Systems in Higher Education

2013 ◽  
pp. 557-580
Author(s):  
Dirk Peters ◽  
Liane Haak ◽  
Jorge Marx Gómez
Keyword(s):  
Higher Education ◽  
Learning Process ◽  
Adaptive Learning ◽  
Professional Competence ◽  
Enterprise Systems ◽  
Learning Cycle ◽  
Technology Enhanced Learning ◽  
E Learning ◽  
The Individual ◽  
Actual Learning

Higher education institutes like universities cannot ignore the need to teach well known information systems, like ERP systems. Case studies are the most chosen way to introduce the handling of these systems to fulfill the needs of the international employment market and to provide a practical focus within the education. Effective teaching concepts have to improve this situation by considering the pedagogical aspects, which support the individual learning process of each student. This chapter discusses the changes and challenges of enterprise systems in higher education and provides an overview about the learning theory and the actual learning supporting technology as a basis for our concept. The approach considers actual needs of higher education, e.g. present learning in a lab as well as e-Learning courses supported by new methods in technology-enhanced learning by recording students’ behavior to guide them through the system. Therefore the authors introduce an Adaptive Learning Cycle which considers tracking and analyzing results deduced with mining methods to improve the learning progress. The aim is to achieve positive influences on the progress of the learning process to build up professional competence.

Adaptive Learning Cycle to Improve the Competence-Building for Enterprise Systems in Higher Education

2012 ◽  
pp. 76-99 ◽  
Author(s):  
Dirk Peters ◽  
Liane Haak ◽  
Jorge Marx Gómez
Keyword(s):  
Higher Education ◽  
Learning Process ◽  
Adaptive Learning ◽  
Professional Competence ◽  
Enterprise Systems ◽  
Learning Cycle ◽  
Technology Enhanced Learning ◽  
E Learning ◽  
The Individual ◽  
Actual Learning

Higher education institutes like universities cannot ignore the need to teach well known information systems, like ERP systems. Case studies are the most chosen way to introduce the handling of these systems to fulfill the needs of the international employment market and to provide a practical focus within the education. Effective teaching concepts have to improve this situation by considering the pedagogical aspects, which support the individual learning process of each student. This chapter discusses the changes and challenges of enterprise systems in higher education and provides an overview about the learning theory and the actual learning supporting technology as a basis for our concept. The approach considers actual needs of higher education, e.g. present learning in a lab as well as e-Learning courses supported by new methods in technology-enhanced learning by recording students’ behavior to guide them through the system. Therefore the authors introduce an Adaptive Learning Cycle which considers tracking and analyzing results deduced with mining methods to improve the learning progress. The aim is to achieve positive influences on the progress of the learning process to build up professional competence.

scholarly journals Content development approaches in e-learning lessons

2017 ◽  
Vol 2 (1) ◽  
pp. 342-348 ◽  
Author(s):  
Ştefania Kifor
Keyword(s):  
Adaptive Learning ◽  
Student Motivation ◽  
Online Courses ◽  
A Priori ◽  
Learning Objects ◽  
Management Systems ◽  
Content Development ◽  
E Learning ◽  
Level Of Knowledge ◽  
And Behavior

Abstract Developments in the IT field have led to the development and variety of e-learning objects so that video or gaming lessons are found in most online courses and are developed in order to maintain the student’s interest. The current Learning Management Systems challenges refer to how to generate a dynamic content that automatically adapts to the a priori level of a student’s knowledge and behavior during lessons. Starting from the model student, the component of adaptive learning, the aim of this paper is to keep student motivation by designing a course with content related to the level of knowledge of the students. At the same time, lessons combine elements of gamification with quizzes, textual contexts and infographics in order to make the content more varied, and in order for the student to be more engaged, to assimilate, to understand or to recall the concepts presented in the course.

scholarly journals A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms

2017 ◽  
Vol 7 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Khalid Colchester ◽  
Hani Hagras ◽  
Daniyal Alghazzawi ◽  
Ghadah Aldabbagh
Keyword(s):  
Artificial Intelligence ◽  
Learning Environments ◽  
Learning Process ◽  
Adaptive Learning ◽  
Educational Systems ◽  
Artificial Intelligence Techniques ◽  
Learning Capabilities ◽  
E Learning ◽  
Learning Platforms ◽  
Adaptive Educational Systems

Abstract The adaptive educational systems within e-learning platforms are built in response to the fact that the learning process is different for each and every learner. In order to provide adaptive e-learning services and study materials that are tailor-made for adaptive learning, this type of educational approach seeks to combine the ability to comprehend and detect a person’s specific needs in the context of learning with the expertise required to use appropriate learning pedagogy and enhance the learning process. Thus, it is critical to create accurate student profiles and models based upon analysis of their affective states, knowledge level, and their individual personality traits and skills. The acquired data can then be efficiently used and exploited to develop an adaptive learning environment. Once acquired, these learner models can be used in two ways. The first is to inform the pedagogy proposed by the experts and designers of the adaptive educational system. The second is to give the system dynamic self-learning capabilities from the behaviors exhibited by the teachers and students to create the appropriate pedagogy and automatically adjust the e-learning environments to suit the pedagogies. In this respect, artificial intelligence techniques may be useful for several reasons, including their ability to develop and imitate human reasoning and decision-making processes (learning-teaching model) and minimize the sources of uncertainty to achieve an effective learning-teaching context. These learning capabilities ensure both learner and system improvement over the lifelong learning mechanism. In this paper, we present a survey of raised and related topics to the field of artificial intelligence techniques employed for adaptive educational systems within e-learning, their advantages and disadvantages, and a discussion of the importance of using those techniques to achieve more intelligent and adaptive e-learning environments.

scholarly journals Incursions in the knowledge of online browsing

2021 ◽  
Author(s):  
Ecaterina Zubenschi ◽  
◽  
Mariana Zubenschi ◽  
◽  
Keyword(s):  
Distance Learning ◽  
Learning Process ◽  
Education System ◽  
Educational Process ◽  
Social Progress ◽  
The Internet ◽  
Practical Skills ◽  
Learning Materials ◽  
Software Products ◽  
E Learning

There are currently a lot of search tools and software products that allow you to search for the requested information on the Internet for various purposes. This involves improving the practical skills of online browsing, teachers, in streamlining the education system, in preparing e-learning materials, in organizing and managing the distance learning process, which would help ensure the economic and social progress of the country. This fact encourages the teacher to be “armed with the navigation tools to integrate them in the educational process.

A BPM-Based Agile Approach to Ensure Adaptive Learning

2021 ◽  
Author(s):  
Nisseb Bergaoui ◽  
Sonia Ayachi Ghannouchi
Keyword(s):  
Learning Process ◽  
Adaptive Learning ◽  
Process Management ◽  
Project Based Learning ◽  
Management Approach ◽  
Innovative Teaching ◽  
Team Members ◽  
Active And Collaborative Learning ◽  
E Learning ◽  
Agile Approach

In agile, students learn through the gradual implementation of iterative projects with information exchanges between team members. Various research works focused on the assessment of innovative teaching methods to promote the acquisition of professional skills (e.g. project-based learning, active and collaborative learning, flipped classes, digital assisted training, etc.). In addition, adaptive learning is a pedagogical method favoring tailor-made e-learning to respond to the acquisition of certain skills, through the adaptation of pedagogical resources according to the learners’ needs. Therefore, to establish a model based on these different methods in order to benefit from their advantages, we based our work on the BPM (Business Process Management) approach, which constitutes the means of implementing the desired agility in the learning process. Thanks to such a cyclical and continuous improvement approach, the learning process will evolve and take into account not only new needs but also the specificities of each involved actor (learner or teacher).

Service Based E-Learning System Model Using IRT

2012 ◽  
Vol 588-589 ◽  
pp. 2155-2158
Author(s):  
Hae Gill Choi ◽  
Hwa Young Jeong
Keyword(s):  
Web Service ◽  
Learning Process ◽  
Learning Effect ◽  
Learning System ◽  
System Model ◽  
E Learning ◽  
Efficient Learning ◽  
Learning Score

This paper aim to make a model for service based e-learning system. To consider the efficient learning process, we use web service technology as learning process logic. And we are also considering IRT to improve learning effect, and the method can help to analyze the user’s learning score and feedback their learning course.

A Survey on Utilizing Cloud Services in the E-learning Process

2015 ◽  
Vol 6 (9) ◽  
pp. 1606-1612
Author(s):  
Zaydoon Mohammad Hatamleh ◽  
Eslam Najim Badran ◽  
Bilal Mohammad Hatamleh
Keyword(s):  
Learning Process ◽  
Cloud Services ◽  
E Learning
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