scholarly journals An Approach to Convert Conventional Laboratories Into IoT-Enabled Laboratories

Author(s):  
Prakash K. R. ◽  
Santhosh M. S. ◽  
Purushothama G. K. ◽  
Ramya M. V.

Practical learning methodologies have become the need of the hour in the education sector, in particular in engineering education, to achieve technical competencies and skills. Advancements in web-based learning strategies have evolved over the years, and technology has played a major role in creating e-learning resources, among which remote labs are the ones transforming engineering laboratory delivery structure. In the present work, the methodology of improvising an existing traditional automation laboratory into an internet of things (IoT)-enabled laboratory with remote operation is presented. The implementation process of industrial internet of things (IIoT) for enabling remote operation of automation laboratory at the NIE, India is described in this paper. This paper describes the implementation of novel learning platform for programmable logic controllers (PLC), industrial PC (IPC), and hydraulic laboratories using a common IIoT architecture and framework. Additionally, user-level web-based application is created to control the use of all laboratory equipment from remote locations.

Author(s):  
Andrina Granic ◽  
Maja Cukušic ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos

Web-based learning environments have become an integral part of learning. The way that they are employed in the learning process, or in other words the learning strategy followed in that respect, is an important issue that has to be carefully thought of, deciding upon topics such as suitable pedagogical approaches and appropriate assessment techniques for a given context. The chapter deals with this exact issue by visiting the relevant literature on the subject, describing selected learning strategies that have been employed in the use of an innovative eLearning platform in schools in Europe and finally outlining and comparing two real case studies from two European countries.


Author(s):  
Andrina Granic ◽  
Maja Cukušic ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos

Web-based learning environments have become an integral part of learning. The way that they are employed in the learning process, or in other words the learning strategy followed in that respect, is an important issue that has to be carefully thought of, deciding upon topics such as suitable pedagogical approaches and appropriate assessment techniques for a given context. The chapter deals with this exact issue by visiting the relevant literature on the subject, describing selected learning strategies that have been employed in the use of an innovative eLearning platform in schools in Europe and finally outlining and comparing two real case studies from two European countries.


2014 ◽  
Vol 536-537 ◽  
pp. 599-602
Author(s):  
Yang Nan

This paper attends to study Windows Server and SQL Server to form a combination of the two operating systems to establish an online learning platform. The platform basically completed the user needs to achieve functional, but also focuses on the application of Ajax technology, the use of this technology at the user level can be completed without page refresh can be achieved through video effects, the data layer, it reduces the data access to the database pressure, improve the overall performance of the overall learning platform, the results show that the techniques of this paper can be used in a very good application and online learning platform.


2018 ◽  
Vol 7 (4.38) ◽  
pp. 992
Author(s):  
Mohd Ramadan Ab Hamid ◽  
Emmy Hainida Khairul Ikram ◽  
Siti Sabariah Buhari ◽  
Farhanah Ahmad Shuhaimi ◽  
Norazmir Md Nor ◽  
...  

Electronic Learning (E-Learning) has been widely used as a complement to the traditional learning method. It includes the introduction of blended learning (BL) that fully utilises the use of Learning Management System (LMS). The aim of this study is to examine students’ acceptance of blended learning specifically with the use of Openlearning (OL) as an online learning platform to complement traditional teaching. 137 students had participated in this study. OL was introduced to the Health Sciences students, who enrolled in the Principles of Nutrition course. Students explored teaching materials, videos, activities, and several assessments in OL while facilitated by facilitators for 14 weeks. A self-administered questionnaire was given via online to the participants to evaluate their attitudes and acceptance towards OL. Descriptive statistic was used to describe the demographic data and t-test was performed to report the level of acceptance. Overall results showed students were very satisfied with blended learning using OpenLearning as a web-based tool. Students accepted OL as it is easy to use and convenient. They also agreed that the usage of OL in teaching and learning will improve their academic performance. In conclusion, it is proven that Health Sciences students accepted the use of OL in blended learning.    


2020 ◽  
Vol 17 (9) ◽  
pp. 4585-4592
Author(s):  
Nidhi Gupta ◽  
Neeraj Sharma ◽  
Sanjay Sood

The teaching-learning process, especially in higher education has always been a matter of great concern in developing countries as it makes the nation’s youth capable and is a mainstay towards its development. With the introduction of ICT, it has become even more important to change the learning methodology using the latest technologies like e-Learning, m-Learning, Cloud Computing etc., to match with the education standards of developed countries. This aim of this paper is to provide an insight about the use of e-Learning and cloud computing in HEIs. The paper also discusses the various cloud based adoption technologies used for HEIs and illustrates the comparative analysis of the web based and cloud based e-Learning system.


2020 ◽  
Author(s):  
Anu Thukral ◽  
Vaishnavi Gupta ◽  
Deepak Chawla ◽  
Praveen Kumar ◽  
Ashok Kumar Deorari

Abstract Background The largest proportion (amongst total newborns requiring inpatient care) is constituted by healthcare needs of small and sick neonates. This has to be delivered by a team of skilled and competent healthcare professionals. Very few comprehensive packages exist for management of premature and sick newborns. WHO-CC, AIIMS with the help of nearly thirty-five leaders in neonatology and nursing champions caring for preterm infants developed a multimodal educational package with philosophy of “Do No Harm” Methods The creation of the educational package included formative research for assessing health facility readiness, defining content deliverables and their layout. The modules thus developed were then field tested and validated. Each of the ten modules was then organized as pre-defined learning objectives, deliverables including text, videos, webinars, posters and job aids. The entire content is available as self-directed web based E-learning platform ( www.pretermcare-eliminatingrop.com ) designed to make users aware of the best care practices for preterm infants.Results The inputs from the field testing workshop on content, interaction and teaching learning methodology were incorporated in the educational package. The participants felt that the content was explicit and clearly defined and the workshop facilitated free interaction. The online platform has 2500 registered participants registered till date. Nearly 80% of the participants felt that quality of information presented, organization of content and the degree to which the examples related to real scenarios was excellent to exceptional. Discussion The learners are actively involved in the learning process and teachers are actually facilitators rather than ‘fact generators.’ The package focuses on the transformative learning strategies and the impact is likely to be revolutionary once it is taken to scale. In addition, the online web based learning platform along with its multimedia contents can be easily used for distance learning following which the participant can come for skill learning.


2021 ◽  
Vol 9 (1) ◽  
pp. 24-32
Author(s):  
Naily Kamaliah ◽  
Alpha Fadila Juliana Rahman

[MAINTAINING THE QUALITY OF LEARNING DATA PROCESSING PRACTICUM IN SUBJECT OF TRAINING DATA ANALYSIS AND INTERPRETATION]. Online learning during the SARS-CoV2 virus pandemic is a necessity in order to avoid the spread of the virus. But in its implementation, it becomes a challenge, especially in practicum learning. The implementation of online training is a response to the situation and conditions in the SARS-CoV2 virus pandemic which forces classical training to migrate to online training. The purpose of this study was conducted to find out what factors support the achievement of learning objectives, in classical learning, e-learning, and whether the learning strategies that have been applied in e-learning can maintain the quality of training. The instrument in this study was an assessment of the evaluation of learning from participants for the facilitator, on 3 waves of classical PPJFP and 3 waves of PPJFP e-learning, with a total of 126 training participants as respondents. Data processing and analysis were carried out by simple regression analysis, to find out the factors that influence the achievement of learning objectives; as well as an independent sample t-test to compare classical learning methods (face to face) and e-learning. The results showed that the systematic presentation of learning materials and the ability to present the material were the spearheads in the achievement of face-to-face learning. In synchronous learning through the E-learning Platform, aspects of how the facilitator answers questions are important points in learning through e-learning; and e-learning at the syncronus stage is able to maintain the quality of learning.


2021 ◽  
Author(s):  
Vinay Kumar Yadav ◽  
Sanjeev Yadav

Abstract Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organisational alignment, instructor, and student support. This paper aims to identify the critical barriers to the Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of the driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology was used to classify interrelationships between barriers for improved understanding and relationships between these barriers, and Management Cross Impact Multiplications were conducted to estimate the magnitude of these relationships. Applied to classification analysis, which is used for analysing the driving power and dependence power of E-learning barriers.


2020 ◽  
Vol 12 (15) ◽  
pp. 6074
Author(s):  
Syed Muhammad Raza Abidi ◽  
Wu Zhang ◽  
Saqib Ali Haidery ◽  
Sanam Shahla Rizvi ◽  
Rabia Riaz ◽  
...  

Ubiquitous online learning is continuing to expand, and the factors affecting success and educational sustainability need to be quantified. Procrastination is one of the compelling characteristics that students observe as a failure to achieve the weaker outcomes. Past studies have mainly assessed the behaviors of procrastination by describing explanatory work. Throughout this research, we concentrate on predictive measures to identify and forecast procrastinator students by using ensemble machine learning models (i.e., Logistic Regression, Decision Tree, Gradient Boosting, and Forest). Our results indicate that the Gradient Boosting autotuned is a predictive champion model of high precision compared to the other default and hyper-parameterized tuned models in the pipeline. The accuracy we enumerated for the VALIDATION partition dataset is 91.77 percent, based on the Kolmogorov–Smirnov statistics. Additionally, our model allows teachers to monitor each procrastinator student who interacts with the web-based e-learning platform and take corrective action on the next day of the class. The earlier prediction of such procrastination behaviors would assist teachers in classifying students before completing the task, homework, or mastery of a skill, which is useful and a path to developing a sustainable atmosphere for education or education for sustainable development.


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