A Method for Adapting Learning Objects To Students Preferences

Author(s):  
Ana Sanz Esteban ◽  
Javier Saldaña Ramos ◽  
Antonio de Amescua Seco

The development of information and communications technologies (ICT) in recent years has led to new forms of education, and consequently, e-learning systems. Several learning theories and styles define learning in different ways. This chapter analyzes these different learning theories and styles, as well as the main standards for creating contents with the goal of developing a proposal for structuring courses and organizing material which best fits students’ needs, in order to increase motivation and improve the learning process.

2021 ◽  
Vol 11 (1) ◽  
pp. 6637-6644
Author(s):  
H. El Fazazi ◽  
M. Elgarej ◽  
M. Qbadou ◽  
K. Mansouri

Adaptive e-learning systems are created to facilitate the learning process. These systems are able to suggest the student the most suitable pedagogical strategy and to extract the information and characteristics of the learners. A multi-agent system is a collection of organized and independent agents that communicate with each other to resolve a problem or complete a well-defined objective. These agents are always in communication and they can be homogeneous or heterogeneous and may or may not have common objectives. The application of the multi-agent approach in adaptive e-learning systems can enhance the learning process quality by customizing the contents to students’ needs. The agents in these systems collaborate to provide a personalized learning experience. In this paper, a design of an adaptative e-learning system based on a multi-agent approach and reinforcement learning is presented. The main objective of this system is the recommendation to the students of a learning path that meets their characteristics and preferences using the Q-learning algorithm. The proposed system is focused on three principal characteristics, the learning style according to the Felder-Silverman learning style model, the knowledge level, and the student's possible disabilities. Three types of disabilities were taken into account, namely hearing impairments, visual impairments, and dyslexia. The system will be able to provide the students with a sequence of learning objects that matches their profiles for a personalized learning experience.


Author(s):  
Boryana Deliyska ◽  
Peter Manoilov

The intelligent learning systems provide a direct customized instruction to the learners without intervention of human tutor on the base of Semantic Web resources. The principal role ontologies play in these systems is as an instrument for modeling learning process, learner, learning objects, and resources. In the chapter, a variety of relationships and conceptualizations of ontologies used in the intelligent learning systems are investigated. The utilization of domain and application ontologies in learning object building and knowledge acquisition is represented. The conceptualization of domain ontologies in e-learning is presented by the upper levels of its taxonomies. Moreover, a method and an algorithm intended for generation of application ontologies of structural learning objects (curriculum, syllabus, topic plan, etc.) are developed. Examples of curriculum and syllabus application ontologies are given. Further these application ontologies are used for structural learning object generation.


1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.


Author(s):  
Francisco J. García ◽  
Adriana J. Berlanga ◽  
Maria N. Moreno ◽  
Javier García ◽  
Jorge Carabias

Author(s):  
María Del Milagro Granados-Montero

<p>Preventive confinement against COVID-19 changed the teaching-learning process of the Phytopathology course at the Faculty of Agronomy of the UCR. Information and Communications Technologies (ICT) were integrated into a program called ‘Phytopathology 2020, at the distance but together’. Each student received at her home a box of materials, including culture media and a paper microscope, that allowed her to set up and carry out different phytopathological techniques. The result obtained exceeded expectations and previous results in 16 years of teaching experience. The integration of the family into the educational project was surprising, fostering values of mutual commitment in education and prevention of COVID-19.</p>


Author(s):  
Eugenijus Kurilovas ◽  
Valentina Dagiene

The main research objective of the chapter is to provide an analysis of the technological quality evaluation models and make a proposal for a method suitable for the multiple criteria evaluation (decision making) and optimization of the components of e-learning systems (i.e. learning software), including Learning Objects, Learning Object Repositories, and Virtual Learning Environments. Both the learning software ‘internal quality’ and ‘quality in use’ technological evaluation criteria are analyzed in the chapter and are incorporated into comprehensive quality evaluation models. The learning software quality evaluation criteria are further investigated in terms of their optimal parameters, and an additive utility function based on experts’ judgements, including multicriteria evaluation, numerical ratings, and weights, is applied to optimize the learning software according to particular learners’ needs.


Author(s):  
Yingqin Zhong ◽  
John Lim

Globalization makes cultural diversity a pertinent factor in e-learning, as distributed learning teams with mixed cultural backgrounds become commonplace in most e-learning programs, which can be study-based (schools and universities) or work-based (training units) (Zhang & Zhou, 2003). In these programs, collaborative learning is supported via computermediated communication technologies and instructional technologies. The primary goal of enhancing learning with technology aids, aligning with the goal of education at all levels, is to engage students in meaningful learning activities, which require learners to construct knowledge by actively interpreting, acquiring, and analyzing their experience (Alavi, Marakas, & Yoo, 2002). In accordance, meaningful learning requires knowledge to be constructed by the learners but not by the teachers. In this regard, collaborative learning, an activity where two or more people work together to create meaning, explore a topic, or improve skills, is considered superior to other individualistic instructional methods (Lerouge, Blanton, & Kittner, 2004). The basic premise underlying this is the socio-learning theory, which advocates that learning and development occur during cooperative socialization among peers and emerge through shared understandings (Leidner & Jarvenpaa, 1995). This highlights the criticality of the communication and collaboration pertaining to an individual’s learning process. Since culture reflects the way one learns (Hofstede, 1997; Vygotsky, 1978), group members’ cultural backgrounds play a significant role in affecting the collaborative learning process (Chang & Lim, 2005). Language, cognitive style, and learning style are some aspects of culture that concern collaborative learning in the short term. Groups which have members of different cultural backgrounds are expected to be availed a wider variety of skills, information, and experiences that could potentially improve the quality of collaborative learning (Rich, 1997). In contrast, a group comprising members of similar backgrounds is vulnerable to the “groupthink” syndrome; when the syndrome operates, members could ignore alternatives, resulting in a deterioration of efficiency in making a group decision (Janis, 1982). Accordingly, it is conceivable that groups formed by members of different cultural backgrounds are inherently less prone to the “groupthink” syndrome. However, the advantages of cultural diversity in achieving meaningful collaborative learning are not easily realized, as the basic modes of communication may vary among different cultures and, in consequence, communication distortion often occurs (Chidambaram, 1992). Collaborative learning systems (CLS) are being increasingly researched owing to their potential capabilities and the associated new opportunities in supporting collaborative learning, in particular for distributed groups involving members of different cultural backgrounds (Alavi & Leidner, 2001). Collaborative learning systems provide the necessary medium to support interaction among learners, and therefore modify the nature and the ef- ficiency of the collaborative learning activities (Mandryk, Inkepn, Bilezikjian, Klemmer, & Landay, 2001). The current article looks into how collaborative learning systems may better accommodate cultural diversity in e-learning groups. In addition, this article discusses pertinent issues regarding the role of a leader in building the common ground among learners in order to maximize the potential of collaborative learning systems when cultural diversity is present.


Author(s):  
Wenhao David Huang ◽  
Steven R. Aragon

As E-learning is gaining popularity in higher education, its evaluation becomes more critical than ever, to ensure the achievement of intended learning outcome. The effectiveness of E-learning system evaluation under current practices, however, remains questionable. One reason for such uncertainty is the lack of direct measurement while learning occurs since most evaluation data is collected after the learning process. Thus this chapter proposes an integrated evaluation approach for E-learning systems based on Cognitive Load Theory and grounded in the 4C/ID-model. Both direct and indirect measurements will be deployed in the integrated approach in the context of cognitive load. Furthermore all evaluation data can be translated into practical E-learning design solutions by triangulating with the 4C/ID-model. This chapter also suggests that future evaluation framework on E-learning should include factors from attitudinal and social aspects of learning process.


Author(s):  
Diana M. Ragbir ◽  
Permanand Mohan

This chapter presents the IMS Learning Design Specification and explains how it can be used to enhance the effectiveness of e-Learning scenarios. It shows how to assemble a learning design using elements of the learning process and chunks of content known as learning objects. The chapter proposes several learning design services that can potentially improve the pedagogical expressiveness of the current Learning Design Specification. It also discusses the possibility of storing learning designs in a repository and adapting and personalizing learning designs according to the instructional needs of individual learners. It is hoped that researchers and practitioners will understand how it is possible to go beyond learning objects and create learning designs that more accurately reflect the actual learning process of students and thus appreciate the value in extending the learning design specification to improve pedagogical effectiveness.


Author(s):  
Jeong Yong Ahn ◽  
Akugizibwe Edwin

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.   


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