scholarly journals An Asynchronous, Personalized Learning Platform―Guided Learning Pathways (GLP)

2014 ◽  
Vol 05 (13) ◽  
pp. 1189-1204 ◽  
Author(s):  
Cole Shaw ◽  
Richard Larson ◽  
Soheil Sibdari
Keyword(s):  
Personalized Learning ◽  
Guided Learning ◽  
Learning Platform ◽  
Learning Pathways

scholarly journals The system of personalized instruction in school education: problems of implementation and adaptation

2020 ◽  
pp. 142-152
Author(s):  
Polina O. Kraynova ◽  
Alexey S. Obukhov
Keyword(s):  
General Education ◽  
Personal Characteristics ◽  
Personalized Learning ◽  
Educational Process ◽  
Learning System ◽  
High Quality Research ◽  
Global Trends ◽  
Learning Platform ◽  
The Usa ◽  
The Individual

In the context of global trends in the humanization of education, issues of differentiation, individualization and personalization of education are actively discussed. At the same time, the key question remains – how to preserve the individual capabilities, interests and needs of each student while maintaining collective learning formats? How to take into account the personal characteristics and capabilities of each when passing and mastering general education programs? One such solution was the PCBL personalized learning platform developed in the USA. Currently, the Khoroshevskaya school is introducing and adapting this platform to the Russian conditions of education. The article examines the specific case of implementing a system of personalized competency-based education in a separate school – what problems, barriers and difficulties are encountered in its implementation. The study is built in the logic of qualitative research on the basis of high-quality research interviews with the main participants in the educational process in the context of introducing a personalized learning system.

scholarly journals Methodological aspects of the web course of chemical disciplines for non-chemical specialties in universities

2020 ◽  
Vol 1 (1) ◽  
pp. 37-42
Author(s):  
Naila Guliyeva ◽  
Keyword(s):  
Inorganic Chemistry ◽  
Online Training ◽  
Personalized Learning ◽  
Learning System ◽  
Learning Platform ◽  
Web Course ◽  
Effective Use ◽  
Methodological Aspects ◽  
Theoretical Foundations ◽  
The Web

The article analyzes the possibilities of effective use of interactive learning elements, which is a learning platform designed to provide teachers, administrators and students with a reliable, safe and comprehensive learning system to create a personalized learning environment. It is acknowledged that the utilization of online training tools has shown to be effective for studying the “Theoretical Foundations of Chemistry” and “Inorganic Chemistry” disciplines.

COGNITIVE, AFFECTIVE AND CONATIVE MODEL FOR ANALYSING HIGHER EDUCATION STUDENTSq

2017 ◽  
Vol 10 (13) ◽  
pp. 133
Author(s):  
Priyaadharshini Manickavasag ◽  
Swati S Surwade
Keyword(s):  
Higher Education ◽  
Learning Environment ◽  
Student Performance ◽  
Learning Style ◽  
Management System ◽  
Research Work ◽  
Personalized Learning ◽  
Three Dimensions ◽  
Learning Abilities ◽  
Learning Platform

Many models are used in recent years to analyze behavior of the students in the higher education. Analyzing the learning style and student performance in academic studies are very essential to enhance their performance. This research work is focused on analyzing the learners behavior using three dimensions, i.e., cognitive, affective, and conative model. In this paper, we used Moodle learning management system which is a learning platform to create a personalized learning environment and to track learning abilities using activities. This model will be helpful to study the cognitive, conative, and emotions of students. 

scholarly journals Improvement of Adaptive Learning Service Recommendation Algorithm Based on Big Data

2021 ◽  
Author(s):  
Ya-zhi Yang ◽  
Yong Zhong ◽  
Marcin Woźniak
Keyword(s):  
Big Data ◽  
Adaptive Learning ◽  
Personalized Learning ◽  
Recall Rate ◽  
Learning Needs ◽  
Demand Model ◽  
Service Recommendation ◽  
Recommendation Algorithm ◽  
Learning Platform ◽  
The Individual

AbstractIn view of the problem that the traditional learning service recommendation does not fully consider the distinct differences between individuals, it is easy to lead to the contradiction between unchanging learning resources and learners’ personalized learning needs that are constantly improving, so an adaptive learning service recommendation improvement algorithm based on big data is proposed. Idea is based on adaptive learning platform and function modules. We consider the individual differences between students, to students as the center, collect students’ personalized learning demand data, and according to the data information to build student demand model. On the basis of using data mining methods for clustering recommendation service resources in learning, the adaptive recommend according to students’ individual need is proposed. The experimental results show that the adaptive learning service recommendation algorithm based on big data has high recommendation accuracy, coverage rate and recall rate, which is of great significance in the actual learning service recommendation.

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