Online teaching development By Using the program Google Class Room About infrared sensors courses Microcontroller and Internet of Things Bachelor of Industrial Education Program

2021 ◽  
Author(s):  
Korrapat Chalermwong ◽  
Nutjired Kheowsakul ◽  
Bussarakam Tongpet ◽  
Wichan Petchmenee ◽  
Saran Nakornprai ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Education Program ◽  
Online Teaching ◽  
Infrared Sensors ◽  
Industrial Education ◽  
Teaching Development ◽  
Class Room

scholarly journals Perceptions of English Education Program Students Towards The Profesionalism of English Education Lecturers in Online Learning at IAIN Parepare

2020 ◽  
Vol 2 (2) ◽  
pp. 70-76
Author(s):  
Mujahidah ◽  
Nur Afiah ◽  
Syaiful
Keyword(s):  
Online Learning ◽  
Data Analysis ◽  
Quantitative Study ◽  
Education Program ◽  
Online Teaching ◽  
English Education ◽  
Teaching Skills ◽  
High Level ◽  
Survey Approach

Perception can be interpreted as a process of giving meaning to a phenomenon, event or object. professionalism is interpreted as a professional trait. Those traits are mastering the Science in their field and have high skills in carrying out their duties. This Study aimed to describe the students' perceptions of professionalism lecturer English Education Program, State Islamic Institute of Parepare. To achieve this goal a questionnaire was distributed to 50 students (40% of the population). This Research is a descriptive quantitative study with a survey approach. The data processed using simple tabulation techniques and the data qualitatively interpreted. There are five aspects of the professionalism observed, namely: the ability to speak English, online teaching skills, insights, timeliness and using of online learning application. By the results of data analysis found that, the lecturers of English Education Program, State Islamic Institute of Parepare has a high level of professionalism.

Developing and Testing of the Efficiency of Electrical Test Kits for Electric Circuit Analysis Course in Bachelor of Industrial Education Program

2021 ◽  
Author(s):  
Narongrit Sanajit ◽  
Nutjired Kheowsakul ◽  
Korrapat Chalermwong ◽  
Bussarakam Tongpet ◽  
Pinis Thongmeekwan ◽  
...  
Keyword(s):  
Education Program ◽  
Electric Circuit ◽  
Circuit Analysis ◽  
Industrial Education ◽  
Electrical Test

scholarly journals Research and Application of the Interactive English Online Teaching System Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huani Chen ◽  
Jian Huang
Keyword(s):  
Internet Of Things ◽  
Online Teaching ◽  
Internal Consistency Reliability ◽  
Teaching Quality ◽  
The Internet ◽  
Teaching System ◽  
Topological Structures ◽  
English Teaching ◽  
Short Period ◽  
The Internet Of Things

Nowadays, due to the pandemic and other problems, the establishment of physical classes is a big headache for both students and teachers, due to which the education system all over the world is shifted to the online system from the physical system. Advance technologies such as the Internet of Things (IoT) are playing a significant part in various sectors of life such as health, business, and education. In order to effectively improve the effect of online English teaching, this study designed an interactive online English teaching system based on the IoT technology. This study proposes three topological structures for the establishment of the proposed IoT-based online English teaching system. Based on the analysis of the three topological structures of the IoT, this study chooses to design each submodule of the front and back of the system in the network IoT environment to realize the daily operation and various functions of the system and to realize the interactive design of both of the teacher and student side. Based on this approach, an online English teaching system is designed, and the teaching quality based on this system is evaluated with the help of an algorithm known as grey relational analysis algorithm. The experimental results show that, after the application of this system, students have access to the teaching materials and content in a short period of time; and the English test scores were improved and were significantly higher as compared to the traditional teaching system. In addition, at the same time, the internal consistency reliability of the proposed system is very high which fully demonstrates the effectiveness of the proposed system.

scholarly journals Teaching Online Versus Teaching hybrid and in class

2014 ◽  
Vol 2 (9) ◽  
pp. 1-9
Author(s):  
Khamis M Bilbeisi ◽  
Barbara Minsky
Keyword(s):  
Learning Style ◽  
Online Teaching ◽  
Classroom Instruction ◽  
Online Courses ◽  
Traditional Classroom ◽  
Online Discussions ◽  
Internet Technology ◽  
Face To Face ◽  
Traditional Classroom Instruction ◽  
Class Room

This paper deals with the question: How is hybrid teaching different from online and conventional teaching? In this paper we compare hybrid, face-to-face class-room and online teaching. We found that the numbers of students enrolled in online courses are significantly higher than the number of students enrolled in face-to-face courses. Furthermore, online degrees now offer the same exact course work as hybrid and traditional classroom courses. So the choice of mode of learning comes down to students’ personal preferences. Some students often try out an online course only to find that they like hybrid or traditional classroom instruction better. We believe hybrid courses better meet the needs of most students: they provide a learning style that requires students participate in classroom instruction where they can visually and verbally interact with the instructor and their peers, but yet has the convenience of reducing the need for driving, which saves gas, and also serve to develop students’ Internet, technology and virtual team skills by participating in online discussions, tests and other virtual learning activities.

Device Based Real-Time Single User Indoor Localization Using Internet of Things

2021 ◽  
Vol 14 ◽  
Author(s):  
Bhagwan S. Meena ◽  
Kattamanchi Hemachandran
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Radio Frequency Identification ◽  
Indoor Localization ◽  
Wireless Sensor ◽  
Infrared Sensors ◽  
Frequency Identification ◽  
Single User ◽  
Passive Infrared

Background: Localization is an important area of implementation of internet of things based Wireless Sensor networks. Outdoor user tracking is possible using the global positioning system; however, the global positioning system accuracy decreases in indoor environments. The wireless sensor network is used on the internet of things based technology for localization to overcome this problem. Objective: The wireless sensor network-based indoor localization is categorized into two categories; range-based and range-free localization. In range-based localization, first, it computes the relative distance, and then it calculates relative coordinates. In range-based techniques, distance and position are calculated. The internet of things-based localization used the range-based and range-free techniques of a wireless sensor network to localize any object. The Light-Dependent Resistor-based localization work has been proposed in previous research. In this research, the light-dependent register traces a person’s entry /exit event as the person switches ON/OFF lights of the building. It was not a sufficient effort to localize a person using a light-dependent register. The two PIR have been used in each room, along with one RFID-based approach proposed in this study to overcome light-dependent records. Methods: An Indoor scenario has been considered in this study. The hardware setup has been configured to trace the user. When a user enters inside a building, he will switch on the lights, and the light sensor records the light intensity and gives some reading. The difference in light sensor reading (before switching ON the light and after switching OFF the light) gives some clue about a user in an indoor scenario. Nevertheless, if the lights of many rooms remain switched ON, the user cannot be localized using the above method. Two passive infrared sensors in each room and one radio frequency identification-based model have been proposed in the present study to sort out this ambiguity of light sensors. Implementing the single-user localization using light dependent resistor sensor becomes erroneous if a person moves from one room to another and the lights are turned ON/OFF. Moreover, the LDR-based model is affected by sunlight during the daytime. Results: As the implementation of passive infrared sensors and one RFID-based localization technique gives efficiency 93 %, the light-dependent register-based localization system provides an efficiency of 35%. Conclusion: The light-dependent register-based approach is prone to more errors because the user may enter multiple rooms while the lights of each room remain ON. A passive infrared sensor and radio frequency identification-based approach for a single user indoor localization has been proposed to overcome this problem. The proposed techniques are easy and cost-effective for implementation. The results show that the proposed method provides better localization accuracy than the light-dependent sensor-based technique for single indoor localization.

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