scholarly journals Moving From Dumb To Smart Classrooms: Technology Options And Implementation Issues

2006 ◽  
Vol 3 (6) ◽  
Author(s):  
Charles Skipton ◽  
Erika Matulich ◽  
Raymond Papp ◽  
John Stepro
Keyword(s):  
Implementation Challenges ◽  
Smart Classroom ◽  
Smart Classrooms

What are “Smart Classrooms” and why do we need them? What technology components are necessary for a smart classroom, and what are the implementation challenges?

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

scholarly journals Design of a Smart Classroom with Audio Visual (AV) Infrastructure for academic institutions to Enable Collaborative Learning

2021 ◽  
Vol 10 (1) ◽  
pp. 378-381
Keyword(s):  
Collaborative Learning ◽  
Public Spaces ◽  
Interactive Learning Environment ◽  
Smart Classroom ◽  
Shared Space ◽  
Effective Manner ◽  
Class Room ◽  
Primary Focus ◽  
Smart Classrooms ◽  
Technological Platforms

Smart classrooms are basically the rooms wherein students come together in a shared space to construct, manipulate, and negotiate meaning around a canvas. This enables collaborative learning in the most effective manner. The environments become immersive learning happens on walls, desks, tables, and in conversations. The interactive surfaces become shared perceptual spaces where students discuss meaning and clarity and come to a collective understanding. When there is an environment with touch screens dedicated to creating opportunities for shared perceptual meaning, the students could dig down and construct knowledge in a deeper way. If you want students exchanging, collaborating, and talking synchronously in class then shared public spaces should be the primary focus of work. There are many techniques and options for setting up a smart classroom. Depending on the requirement and fund availability, the features and technology can be chosen. The requirements in a school would be less in terms of cost and technology as the school student would not be much well versed with the technological platforms. In this paper we have discussed about a smart class room that could provide an automated interactive learning environment for a modernized classroom of a school.

scholarly journals Effect of smart classroom on learners’ performance in organic chemistry: A case study of senior five students in Kicukiro district- Rwanda

2021 ◽  
Vol 16 (2) ◽  
pp. 204-211
Author(s):  
Celestin Ngendabanga ◽  
Pascal Nsanzimana ◽  
Faustin Nduwayezu ◽  
Violette Umuhoza ◽  
Jean Baptiste Nkurunziza
Keyword(s):  
Organic Chemistry ◽  
Teaching And Learning ◽  
Linear Regression Analysis ◽  
Educational Stakeholders ◽  
Smart Classroom ◽  
Instructional Activities ◽  
Research Findings ◽  
Smart Classrooms ◽  
Positive Effect

The present study was conducted to explore the effect of smart classroom on learners’ performance in chemistry. This study was carried out on 71 senior five students selected randomly. After collecting data, t-test and linear regression analysis were used to analyze the data. Based on the research findings, it has been discovered that smart classroom motivated learners in teaching and learning organic chemistry. The results showed a significance difference between leaners taught through smart classroom and those not taught through smart classroom. These results also demonstrated that there is a positive effect of smart classroom on learners’ performance in chemistry. This indicated that an effort should be put in increasing adequate smart classrooms across the country to improve the teaching and learning process. Furthermore, other researchers should emphasize on the effect of smart classroom on other units in chemistry. In addition, educational stakeholders should emphasis on the use of smart classroom in instructional activities in education.

scholarly journals Smart Classroom – A Stepping Stone in Making Digital India

2019 ◽  
Vol 8 (4) ◽  
pp. 8775-8778
Keyword(s):  
Internet Of Things ◽  
Classroom Environment ◽  
Information Transfer ◽  
Recent Progress ◽  
The Internet ◽  
Stepping Stone ◽  
Noticeable Change ◽  
Smart Classroom ◽  
Smart Classrooms ◽  
The Internet Of Things

Recent progress in learning indicates the importance of students to be active in invents things rather than passive recipients. Smart Classrooms can make a noticeable change in how teachers can teach and learners can learn. The objective of the project presented in this paper is to propose a smart algorithm that provides a means of achieving a smart classroom environment in which most of the manual processes are automated and provides an efficient way of interconnecting multiple classes, thereby providing a unique way for information transfer. The proposed algorithm uses the Internet of Things to communicate between various classrooms and transmit/receive the required information. An embedded module installed in each classroom can collect information such as attendance detail, teacher’s location, and updates the information in the server for future use. These details are then used for some critical purposes, such as sending circulars, calling a particular teacher immediately to the office, etc

Preliminary Inquiry on Elementary School Mathematics Wisdom Class Evaluation System

2021 ◽  
Vol 8 (S1) ◽  
pp. 3
Author(s):  
Haizhou Lu
Keyword(s):  
Elementary School ◽  
Evaluation System ◽  
Dominant Position ◽  
Elementary School Mathematics ◽  
Mathematics Classrooms ◽  
Smart Classroom ◽  
Depth Analysis ◽  
Smart Education ◽  
Classroom Evaluation ◽  
Smart Classrooms

Smart classrooms attach great importance to autonomy, investigation, thoughts, and diversity. Therefore, smart mathematics teaching is influenced by smart education claims that the teaching activities are carried out aided by information technology and advocates students solve problems through innovative cooperation learning. As a result, creating a student-oriented and teacher-directed teaching model highlights the student’s dominant position. The mathematics smart classroom evaluation in elementary school is an in-depth analysis of the pupil’s cognitive characteristics and wisdom class essence. This article actively explores the standards for teaching design and implementation through the evaluation of smart mathematics classrooms. It preliminarily draws up an evaluation scale to make the first-step explorations for future elementary school math smart classroom design.

Improved LSTM data analysis system for IoT-based smart classroom

2020 ◽  
Vol 39 (4) ◽  
pp. 5141-5148
Author(s):  
Yingjie Li ◽  
Lianjun Chen
Keyword(s):  
Data Analysis ◽  
Data Storage ◽  
Carbon Dioxide Concentration ◽  
Environmental Parameters ◽  
Activation Function ◽  
Smart Classroom ◽  
Analysis System ◽  
Data Analysis System ◽  
Smart Classrooms ◽  
The Internet Of Things

To reduce the resource and energy waste of colleges and universities more accurately and efficiently, this paper has developed a smart classroom data analysis system based on the Internet of Things, which realizes a variety of sensor information (temperature, humidity, smoke). Environmental parameters such as carbon dioxide concentration and light intensity), remote collection of equipment information, data storage and data analysis functions, and intelligent control of smart classrooms. Data analysis uses an improved LSTM model to predict energy consumption. The model uses LSTM and bidirectional LSTM and uses the ELU activation function instead of the sigmoid and tanh activation functions of the LSTM. Compared with the standard LSTM model and the LSTM model without the ELU activation function, the model improves the prediction accuracy, better avoid the gradient disappearance, and reduces the over-fitting. The system implementation results show that the system can effectively reduce school energy waste.

How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies

2020 ◽  
Vol 52 (6) ◽  
pp. 1-28 ◽  
Author(s):  
Mukesh Kumar Saini ◽  
Neeraj Goel
Keyword(s):  
Smart Classroom ◽  
Smart Classrooms

scholarly journals Smart Sterilization System pada Ruang Kelas Berbasis UVC

2021 ◽  
Vol 7 (3) ◽  
pp. 43-52
Author(s):  
Annisa Zulfa Nur Azza ◽  
Dawam Faizul Amal ◽  
Farrastika Rey Pinestiti ◽  
Ndaru Nuridho Alfian ◽  
Syifaa Safiinatunnajah ◽  
...  
Keyword(s):  
The Other ◽  
Learning Activities ◽  
Ministry Of Education ◽  
Face To Face ◽  
Smart Classroom ◽  
Ultraviolet C ◽  
Sterilization Process ◽  
The Republic ◽  
Opening And Closing ◽  
Smart Classrooms

The number of people confirmed positive for Coronavirus Disease 2019 (COVID-19) in Indonesia reached 605,243 people as of December 11, 2020, of which 18,511 people died. COVID-19 is caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) which can spread rapidly through droplets and is viable under certain conditions. On the other hand, the Ministry of Education and Culture of the Republic of Indonesia plans to allow face-to-face lectures starting in January 2021. Of course this requires strict health protocols and facilities that support learning activities without increasing cases of COVID-19 transmission. Therefore, in this paper an innovation is designed in the form of a smart classroom consisting of a sterilization system based on ultraviolet C (UVC) light with a wavelength of 254 nm. Smart classrooms are also equipped with a security system in the form of automatic locks, contactless sensors for opening and closing doors, automatic lighting, and a real-time Internet of Things (IoT) based monitoring system. In this paper, a system simulation is carried out using Tinkercad and the Thingspeak web server. The sterilization process is designed to be carried out for 30 minutes with a UVC dose of 220 J / m2. For a classroom with an area of ​​64.17 m2, a dosage of 14,117.4 J is needed, so it takes 2 Philips UVC TMS030 1xTUV T8 18W HFP which has an irradiation of 0.09 W / m2.

scholarly journals How to Implement Game-Based Learning in a Smart Classroom? A Model Based on a Systematic Literature Review and Delphi Method

2021 ◽  
Vol 12 ◽  
Author(s):  
Liuxia Pan ◽  
Ahmed Tlili ◽  
Jiaping Li ◽  
Feng Jiang ◽  
Gaojun Shi ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Process ◽  
Delphi Method ◽  
Learning Objective ◽  
Game Based Learning ◽  
Smart Classroom ◽  
Learning Evaluation ◽  
Process Learning ◽  
Smart Classrooms

Game-based learning (GBL) can allow learners to acquire and construct knowledge in a fun and focused learning atmosphere. A systematic literature review of 42 papers from 2010 to 2020 in this study showed that the current difficulties in implementing GBL in classrooms could be classified into the following categories: infrastructure, resources, theoretical guidance, teacher’s capabilities and acceptance of GBL. In order to solve the above problems, the study constructs a technology enhanced GBL model, from the four parts of learning objective, learning process, learning evaluation, and smart classroom. In addition, this study adopted the Delphi method, inviting a total of 29 scholars, experts, teachers and school managers to explore how to implement GBL in smart classrooms. Finally, the technology enhanced GBL model was validated and the utilization approaches were provided at the conclusion part.

Investigation of Sound-Absorbing Material Configuration of a Smart Classroom Utilizing Computer Modeling

2005 ◽  
Vol 12 (3) ◽  
pp. 175-188 ◽  
Author(s):  
Sabeer H. Mir ◽  
Adel A. Abdou
Keyword(s):  
Computer Modeling ◽  
Room Acoustics ◽  
Efficient Manner ◽  
Smart Classroom ◽  
Transmission Index ◽  
Absorbing Material ◽  
New Type ◽  
Typical Layout ◽  
The Impact ◽  
Smart Classrooms

Advancements in information and instruction technology have led to the evolution of a new type of classroom referred to as “smart classrooms”. These have enhanced audio-visual equipment, computers and seating layouts designed to facilitate interactive learning. Placement of different sound-absorbing finishes in an efficient manner improves the listening conditions within the classroom and reduces the amplification of internally generated noise such as that from computers and instructional equipment. This study investigates the best overall configuration of sound-absorbing material placement and characteristics of surface treatment in an attempt to enhance the listening conditions in smart classrooms. A typical layout of a smart classroom was modeled and simulated using room acoustics computer modeling. Acoustics indicators such as Reverberation Time (RT), Sound Clarity (C50) and Speech Transmission Index (STI) were used for comparing alternative cases in optimising sound-absorbing material characteristics and placement. Additionally, measurements were conducted in similar classrooms to assess the magnitude and characteristics of generated noise. To determine the impact of the resulting background noise simulations were carried out. The resulting configuration of sound-absorbing material for a typical smart classroom can also be utilized by architects and educational institutions to enhance the acoustics of existing conventional classrooms in the process of being converted or upgraded.

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