scholarly journals Asynchronous Collaborative and Interactive Learning Support System

2021 ◽  
Vol 6 (3) ◽  
pp. 39-43
Author(s):  
A. Hadiana ◽  
L. Leiliawati ◽  
M. Muslih ◽  
R. Rohmanto ◽  
N. Natalia ◽  
...  
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Learning Environment ◽  
Support System ◽  
Learning Process ◽  
Web Technology ◽  
Shared Knowledge ◽  
Learning Support ◽  
Learning Support System ◽  
Level Of Knowledge

We propose in this paper an educational distance learning support system to provide learning environment in higher education especially it is very important during Covid-19 pandemic. This system provides the collaboration functions among students, in order to make students more active and interactive in learning process based on web technology without any restriction of time and place, and also in order to decrease teachers’ load. In this system students are endorsed to collaborate each other for constructing shared knowledge as much as possible according to their level of knowledge. Students can make discussions or ask some questions collaboratively to acquire more knowledge which cannot be gained through lessons. We describe the concept of this system including its architecture.

A typology of student diversity and an inclusive student learning support system: Insights for higher education

2020 ◽  
Vol 42 (1) ◽  
pp. 81-87
Author(s):  
Weng Marc Lim
Keyword(s):  
Higher Education ◽  
Student Learning ◽  
Support System ◽  
Life Experience ◽  
Student Diversity ◽  
Learning Support ◽  
Indigenous Students ◽  
Learning Support System ◽  
Education Today ◽  
Student Classification

Higher education today is characterized by a highly diversified student population. This, in turn, calls for greater inclusivity in higher education. To answer this call, this paper introduces a typology of student diversity in, and an inclusive student learning support system for, higher education. More specifically, the typology of student diversity suggests that students in higher education may comprise of adults, school leavers, indigenous students, low socio-economic background students, and international students. The typology explains each student classification in detail using five relevant factors, namely autonomy, anxiety, motivation, discipline, and life experience. Finally, the paper offers some pertinent insights to create an inclusive student learning support system for higher education based on the insights derived from the typology of student diversity in higher education.

scholarly journals An Examination of Open and Distance Learning Support System using Data Analytics: A Case Study of AIOU

2020 ◽  
Vol 5 (2) ◽  
pp. 58-73
Author(s):  
Muhammad Zafar Iqbal ◽  
Kamran Mir ◽  
Safia Janjua
Keyword(s):  
Distance Learning ◽  
Support System ◽  
Data Analytics ◽  
Mobile App ◽  
Learning Support ◽  
Descriptive Research ◽  
Time Period ◽  
Learning Support System ◽  
Open And Distance Learning ◽  
Using Data

This research paper was aimed to explore the trends in Allama Iqbal Open University (AIOU) open and distance learning support system (ODLSS). The study was quantitative in its approach and descriptive research design was adopted. Data were collected through Google data analytics software. In this research the data of ODLSS for four years were included from 2016-2019. To explore the trends in ODLSS the data were collected on number of visitors, visitors by time, city, country, technology, screen resolution, and language used. It was found that over the time period AIOU students increased in accessing the ODLSS using mobiles through android and windows sets. They mostly used chrome to access the website. At present no mobile APP has been developed by AIOU for the mobile users. So, it was recommended that AIOU should develop a mobile application for android users so that students may get information easily anywhere.

Specification of an Adaptable and Inclusive E-Learning Support System

2010 ◽  
pp. 207-227
Author(s):  
Steve Green
Keyword(s):  
Learning Environment ◽  
Support System ◽  
Learning Support ◽  
User Profiles ◽  
Personal Learning ◽  
Personal Learning Environment ◽  
Learning Support System ◽  
E Learning

The chapter outlines the problems associated with inclusive e-learning and the role that user profiles and an adaptation service can have to support personalization. The chapter introduces the idea of an Adaptable Personal Learning Environment (APLE) and looks at how one component, the Transformation, Augmentation and Substitution Service (TASS), can be formally specified using Prolog. The compliance with a range of standards is identified: in particular the IMS ACCLIP and ACCMD standards for accessible learner profiles and learner object metadata and the AccessForAll proposals. The chapter also considers issues of IMS and SCORM content packaging, learner information profiles and the JISC definitions for a Personal Learning Environment, all within the context of inclusive e-Learning support.

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