Green Computing practice in ICT Based Method

Green computing is the system of implementing virtual computing technology that ensure minimum energy consumption and reduces environmental waste while using computer. ICT Based Teaching and Learning (ICT-BTL) tools can be implemented for effective and quality education especially during the pandemic like Covid 19. The researchers collect the data from original sources with their personal experiences and eagerness to understand the concept in depth and the applicability for prospective mankind. The results include positive impacts of developing and implementing the green computing for ICT-BTL tools in smart class rooms. ICT experts and entrepreneurs believe in initiating the virtual classroom operations for the betterment of future and protecting from the faster growing technology era in education and research industry. The present study can be initiated for developing modern classrooms and ICT based education system with 3D presentation, demonstration of practical examples in the realistic manner.

Meta-Analysis of EMF-Induced Pollution by COVID-19 in Virtual Teaching and Learning With an Artificial Intelligence Perspective

Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. Present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning process by suppressing the immune system. During COVID-19 pandemic the increased usage of internet due to online education and online office leads to more detrimental effects of EMF radiation. Further inculcation of soft computing techniques in EMF radiation has been presented. A literature review focusing on the usage of soft computing techniques in the domain of EMF radiation has been presented in the article. An online survey has been conducted targeting Indian academic stakeholders’ (Specially Teachers, Students and Parents termed as population in paper) for analyzing the awareness towards the bio hazards of EMF exposure.

Enhancing Effective Teaching and Learning of ICT in the Schools for the Blind in Ghana.

The paper examines role of the Information and Communication Technology (ICT) in Special Education in Ghana. Taking the relevant literature as the guiding principle, the paper addresses the opportunities, barriers and challenges posed by the integration of Assistive Technologies devices in schools for the blind and visually impaired in the teaching and learning process. The paper shows that inadequacies of teachers’ knowledge and skills in Assistive Technologies coupled with lack of these technologies are some of the greatest hindrances to effective teaching in the schools for the Blind in Ghana. Educators and policy makers acknowledge Evidence-Based Teaching as one of the most effective strategies for teaching the blind and the visually impaired.The paper highlights that effective integration of Assistive Technologies into schools will help bridge the digital gap between the blind and the sighted in Ghana

Toward a Framework for Teaching Artificial Intelligence to a Higher Education Audience

Artificial Intelligence and its sub-disciplines are becoming increasingly relevant in numerous areas of academia as well as industry and can now be considered a core area of Computer Science [ 84 ]. The Higher Education sector are offering more courses in Machine Learning and Artificial Intelligence than ever before. However, there is a lack of research pertaining to best practices for teaching in this complex domain that heavily relies on both computing and mathematical knowledge. We conducted a literature review and qualitative study with students and Higher Education lecturers from a range of educational institutions, with an aim to determine what might constitute best practices in this area in Higher Education. We hypothesised that confidence, mathematics anxiety, and differences in student educational background were key factors here. We then investigated the issues surrounding these and whether they inhibit the acquisition of knowledge and skills pertaining to the theoretical basis of artificial intelligence and machine learning. This article shares the insights from both students and lecturers with experience in the field of AI and machine learning education, with the aim to inform prospective pedagogies and studies within this domain and move toward a framework for best practice in teaching and learning of these topics.

Enhancing Effective Teaching and Learning of ICT in the Schools for the Blind in Ghana

The paper examines role of the Information and Communication Technology (ICT) in Special Education in Ghana. Taking the relevant literature as the guiding principle, the paper addresses the opportunities, barriers and challenges posed by the integration of Assistive Technologies devices in schools for the blind and visually impaired in the teaching and learning process. The paper shows that inadequacies of teachers’ knowledge and skills in Assistive Technologies coupled with lack of these technologies are some of the greatest hindrances to effective teaching in the schools for the Blind in Ghana. Educators and policy makers acknowledge Evidence-Based Teaching as one of the most effective strategies for teaching the blind and the visually impaired.The paper highlights that effective integration of Assistive Technologies into schools will help bridge the digital gap between the blind and the sighted in Ghana

A Study on Reinforcement of Self Directed Learning using Controlling Face Emotion

This paper deals with emotion-based self-directed teaching and learning in online education. Teachers and learners cannot understand how much their communication exchanges well with each other. So, their teaching and learning efficiency decreases than their expectation. To increase teaching and learning efficiency, this paper analyzes face emotional patterns to figure out which emotion segments have dominant facts in teaching and learning through Korean women’s face data. These dominant factors are sent to control for improving self-directed learning. In the control system, deep learning compares face data with reference data and finally decides the control signal to improve self-directed learning. Keywords: Face Emotion, Online Education, Self-Directed Teaching and Learning, Emotion Reinforcement.