scholarly journals A Suggested Algorithm of Recommender System to Recommend Learning Objects from Digital Library to Learning Management System

2010 ◽  
Vol 9 (2) ◽  
pp. 37-44
Author(s):  
Jamil Itmazi
2020 ◽  
Vol 12 (34) ◽  
Author(s):  
Euis Setiawati

The rapid development of science and technology has not fully brought a new paradigm in learning mathematics, seen by a large number of internet users only limited to the use of social media in every circle. The purpose of writing this scientific paper is to describe elearning as a way of learning built by the Learning Management System (LMS), and how this system can play a role in personalizing mathematical concepts. The research method used is descriptive analysis by collecting data, compiling or classifying, analyzing, and interpreting several types of software commonly used in e-learning. The results of the analysis show that mathematical personalization can occur by utilizing the features contained in the topics of LMS and is very useful for building learning objects that are suitable to overcome various didactic obstacles in mathematics learning, encourage more semiotic coordination in presentations, and avoid bad classroom practices during mathematics learning. Personalization through LMS can also produce different didactic abilities by considering the profiles of students.  Keywords: personalization, mathematics, e-learning, learning management system.


Author(s):  
Sai Sabitha ◽  
Deepti Mehrotra ◽  
Abhay Bansal

To have a unique learning experience and a high learning impact, diverse courses should be incorporated in e-Learning. Learning Management System, a tool in e-Learning manages and delivers content to users. Learning Objects (LO), the course content is the fundamental unit of Learning Management System. Knowledge Object of Knowledge Management System can also be a viable resource in technology supported learning. A learning scenario for a given learner has to be identified. The course content (LO) has to match their learning skills. Data mining techniques can be widely used to find similar objects and K-Mean clustering technique can be used to produce more consistent clusters. The clusters can have strong and similar concepts of Learning Knowledge Objects. A new algorithm, a weighted cosine distance that gives real-valued distances between instances which further modifies the structure of the feature space is used for prioritising objects in clusters. These objects can be further mapped to learning approaches of the users. An experiment is conducted by using Learning and Knowledge Objects to understand the effectiveness of the weighted measure, thereby a personalized holistic learning environment is provided to the learners.


2019 ◽  
Vol 70 (2) ◽  
pp. 205
Author(s):  
Alina V. Dolyna

The article examines the suitability of using learning management system Moodle as tools for organizing pre-service English teachers' self-study work at improving their phonological competency. As a result of analysis of the main advantages and disadvantages of developing, programming and using the existing multimedia computer courses it was concluded that the revealed disadvantages can be solved by their adaptation and reproduction on distance learning platform Moodle. A reflexive model of improving phonological competency in self-study work is suggested as the basis for exercises and tasks arrangement to improve teachers' to be pronunciation. The structure of the multimedia computer course «Sound English» is analyzed in detail, and the ways of its implementation on learning management system Moodle are suggested, in particular, distribution of learning material into modules and their smaller structural units – cycles. The notion «learning objects» is examined; the advantages of their use and the peculiarities of combination on different levels are given. To implement the seven stages of improving phonological competency the available types of activities in learning management system Moodle were analyzed. The following activities suitable for pronunciation improvement in self-study work are picked out: Read aloud, Questionnaire, Workshop, Lesson, Quiz, Glossary, Assignment. These types of activities are correlated with the multimedia computer course «Sound English» cycle headings: Watch Video, Check Pronunciation, Review Pronunciation Rules, Do Exercises, See Progress. To optimize the process of control and self-control of students' self-study work it is suggested to use self-monitoring worksheets, training questionnaires, and learning diaries. An algorithm of doing the exercises and tasks for improving phonological competency with the use of the system of learning management Moodle is suggested.


2012 ◽  
pp. 353-370
Author(s):  
Gábor Kismihók ◽  
Barna Kovács ◽  
Réka Vas

This chapter describes the architecture of an ontology based content authoring system, developed according to the challenges emerging from Bologna process deployment in Hungary. Considering the needs of Hungarian academic sector, mobility of learners has also been treated as a key requirement. This system has several fundamental components: an educational ontology–which also serves as the domain of curricula development, a content developer, a content repository, and an adaptive knowledge testing engine with a test bank. The services and learning objects are distributed towards the students through a mobilized learning management system.


Author(s):  
Gábor Kismihók ◽  
Barna Kovács ◽  
Réka Vas

This chapter describes the architecture of an ontology based content authoring system, developed according to the challenges emerging from Bologna process deployment in Hungary. Considering the needs of Hungarian academic sector, mobility of learners has also been treated as a key requirement. This system has several fundamental components: an educational ontology–which also serves as the domain of curricula development, a content developer, a content repository, and an adaptive knowledge testing engine with a test bank. The services and learning objects are distributed towards the students through a mobilized learning management system.


Sign in / Sign up

Export Citation Format

Share Document