scholarly journals Adaptive Learning Model Based on Ant Colony Algorithm

Author(s):  
Rongxia Li

To better respond to people’s demands for multimedia learning, appropriate learn-ing paths should be offered based on their actual learning demands and different knowledge levels. Adaptive online learning model integrates and improves exist-ing learning frameworks to offer a set of knowledge paths that can cater to dif-fer7ent preferences, tastes, and knowledge levels of learners, no need for them to be aware of this. Based on the improved ant colony algorithm, an adaptive learn-ing system model that can satisfy learners’ demands is built herein with reference to the foraging approach of ants to traverse the paths, thereby to find the best learning path, while the classification method for some learning objects can de-termine the search parameters. This innovative approach proposed hereof can help improve learners' academic performance and learning efficiency.

2014 ◽  
Vol 543-547 ◽  
pp. 2116-2119
Author(s):  
Qing Qing Zhang ◽  
Qian Zhang ◽  
Yue Jiang Feng

This paper mainly to the ant colony algorithm ant colony system (application pseudo-random proportional rules) and add adaptive learning, momentum BP algorithm of these three together was improved, established a hybrid algorithm, to a certain extent overcome the BP algorithm is easy to fall into local minimum value, slow convergence speed, and achieved satisfactory results. Generally speaking, the performance of BP network is composed of two components: the topology of the network and network learning algorithm. The topology of the network design especially hidden node number should be how to choose the number of neurons more reasonable there is no unified theory, the solution actual problem at present is more of the experience and the method of combining the test to determine the optimal number of hidden nodes. This paper mainly discussed the structure of neural network to determine later, network learning process problems.


2021 ◽  
Vol 25 (6) ◽  
pp. 36-44
Author(s):  
T. M. Shamsutdinova

Purpose of the study. The purpose of this article is to consider the theoretical and practical aspects of designing adaptive training courses aimed at creating an individual educational trajectory, taking into account various mechanisms of adaptation.Materials and methods. This study includes a review of bibliographic sources on the formation of an individual learning path and the implementation of adaptive learning in e-learning courses. It also includes constructing of a structural model of an adaptive learning management system with a description of possible adaptation mechanisms that act as parameters for the formation of a personalized learning path, and a description of an example of the implementation of an adaptive course in the LMS of the Bashkir State Agrarian University.Results. An analysis of factors that influence the choice of a professional educational trajectory is presented. At the same time, different levels of formation of factors are described, for instance, such groups as macrofactors, mesofactors and microfactors are distinguished and characterized. The concept of a flexible adaptive learning model is considered and possible resources (mechanisms) for its adaptation are analyzed. With regard to the management model of the formation of an individual trajectory of training, such parameters as the form of training, the content of training, training methods, the organization of e-learning in the electronic training course, the model of a student, and the trajectory of training are distinguished as adaptation resources. A structural model of an adaptive learning management system is being made, including the following series of structural elements: block of educational content; block of the knowledge control, skills and abilities; communicative block; reflection block; personal identification unit; navigation system; learning path control module. Various approaches to the concept of a learner’s model are also considered (in particular, scalar, overlay and cognitive models).To test the adaptive learning model, an electronic course in the discipline “Informatics and Information Technologies” was designed and implemented in the e-learning management system of the Bashkir State Agrarian University on the LMS Moodle platform. The e-course is used in the educational process for full-time and parttime education, as well as a form of support for distance learning during periods of self-isolation. A comparative analysis of the progress of students who study by using linear and adaptive versions of the e-course is carried out. Students studying with the adaptive version of the e-course showed better learning outcomes. From this, it is concluded that the adaptive course allowed students to better adapt to the conditions of forced distance learning in the new reality.Conclusion. An individual educational trajectory is one of the effective ways of realizing the professional and educational potential of an individual and is based on certain forms, methods, technologies and learning mechanisms. Modern e-learning technologies provide vast opportunities for implementing the concept of personalized flexible learning, in particular, using adaptive training courses. In this case, both the parameters of the learning management environment and the characteristics of the students can act as a resource (parameter) of adaptation.


10.28945/3211 ◽  
2008 ◽  
Author(s):  
Torsten Reiners ◽  
Heinz Dreher

In modem learning environments, the lecturer or educational designer is often confronted with multi-national student cohorts, requiring special consideration regarding language, cultural norms and taboos, religion, and ethics. Through a somewhat provocative example we demonstrate that taking such factors into account can be essential to avoid embarrassment and harm to individual learners’ cultural sensibilities and, thus, provide the motivation for finding a solution using a specially designed feature, known as adaptive learning paths, for implementation in Learning Management Systems (LMS). Managing cultural conflicts is achievable by a twofold process. First, a learner profile must be created, in which the specific cultural parameters can be recorded. According to the learner profile, a set of content filter tags can be assigned to the learning path for the relevant students. Example content filter tags may be “no sex” or “nudity ok, but not combined with religion”. Second, the LMS must have the functionality to select and present content based on the content filter tags. The design of learning material is presented via a meta-data based repository of learning objects that permits the adaptation of learning paths according to learner profiles, which include the cultural sensibilities in addition to prior knowledge and learning and categorized learning content - a detailed example is given.


Author(s):  
Elghouch Nihad ◽  
En-naimi El Mokhtar ◽  
Yassine Zaoui Seghroucheni

This paper presents the results of an experiment, conducted on a sample of computer science students, using the adaptive learning system called ALS_CORR[LP] 1. Indeed, unlike the traditional LMS, the adaptive learning systems provide a personalized learning experience based on the objectives, the prerequisites or even the learning styles generating thereafter a specific learning path. However their main issue remains the fact, that they assume that the generated learning path is necessarily the leading one, which is far from being true, since we can always detect some failure cases during the evaluation phase. In this paper we conduct a learning experience using the system ALS_CORR[LP] which has the ability to correct the generated learning path by recommending the most relevant learning objects, and update the learner model based on a calculation of similarity in behavior between the struggling learner and the succeeding ones. We analyze later the results of behavior tracking within the system.


2018 ◽  
Vol 7 (2.28) ◽  
pp. 129 ◽  
Author(s):  
Aleksandrs Gorbunovs ◽  
Zanis Timsans ◽  
Bruno Zuga ◽  
Viktors Zagorskis

Taking into account that each new day an amount of daily processed data grows exponentially, it is obvious that knowledge society needs flexible, effective and high performing tools to retrieve, learn and apply necessary information. Learning management systems become more and more intelligent and adaptive. Learning analytics instruments give course developers a possibility to assess and analyze learners’ activities and behavior patterns within e-learning environment, allowing to propose them personalized self-paced learning path and types of learning objects. This paper discusses challenges in development of adaptive learning management system and outlines its prospective models and properties.  


2020 ◽  
Vol 147 ◽  
pp. 103777 ◽  
Author(s):  
Amir Hossein Nabizadeh ◽  
Daniel Gonçalves ◽  
Sandra Gama ◽  
Joaquim Jorge ◽  
Hamed N. Rafsanjani

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