scholarly journals The Opinions of Field Experts on Usability of Internet of Things Technology in Open and Distance Learning Environments

Within the scope of this study, it is aimed to determine the usability of the Internet of Things Technology in open and distance learning environments. In this context, the phenomenology method was used in order to get the opinions of field experts. The criterion sampling method, which is one of the purposeful sampling methods, was used in determining the participants. As a criterion, it is taken into account that the participants are experts in the field of open and distance learning. In this context, 8 field experts contributed to the study. The findings obtained at the end of the study, internet of things technology; It clarifies how it can be used in traditional face-to-face learning environments and open and distance learning environments, what benefits it can provide, what are its limitations, its future usage trends, and how it can be used outside of learning environments.

2017 ◽  
Vol 5 (9) ◽  
pp. 146 ◽  
Author(s):  
M. Betul Yilmaz

The relation between assignment and exam performances of the university students and their academic procrastination behaviors in distance and face-to-face learning environments was investigated in this study. Empirical research carried out both in face-to-face and online environments have generally shown a negative correlation between academic procrastination and academic performance. However, the effect of academic procrastination on assignments in distance learning setting has not been analyzed extensively. To understand the interaction between academic procrastination and the learning environment; assignment and exam performances of eighty-eight university students in face-to-face (FtF) and distance learning (DL) environments were investigated. According to the findings of the study, students’ academic procrastination and assignment scores were negatively correlated in both environments but especially in DL setting. Contrary to this, academic procrastination and exam scores were correlated to each other only in FtF environment. On the other hand, there was no correlation between total assignment and exam scores for DL group, while a medium positive correlation was found in FtF group. The findings of binary logical regression analysis demonstrated that predictive value of the DL environment for assignment score is much stronger than academic procrastination behavior of students.


Author(s):  
R J Singh

This article reports on the use of blended learning in higher education. Blended learning has become popular in higher education in recent years. It is a move beyond traditional lecturing to incorporate face-to-face learning with e-learning, thereby creating a blend of learning experiences. The problem is that learning in higher education is complex and learning situations differ across contexts. Whilst there is face-to-face contact at some institutions, others offer distance learning or correspondence learning. In each context, the mode of learning may differ. The challenge is to cater for various learning opportunities through a series of learning interactions and to incorporate a blended approach. The aim of this study was to examine various ways of defining blended learning in different contexts. This was done through an examination of experiences of the use of blended learning in different higher education contexts. The study presents a case of blended learning in a postgraduate course. The experiences from all these cases are summarised and conclusions and recommendations are made in the context of blended learning in higher education in South Africa.


Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.


Author(s):  
Kai Zhang

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.


Author(s):  
Haiting Huang

In order to explore the application of IoT technology in robots and the promotion of IoT robot technology to the economy, by comparing traditional technology and IoT intelligent robot technology, this article combines it with economic development to analyze the promotion of IoT robot to economic development. Based on the ultra-wideband ranging method, this paper designs an ultra-wideband radio frequency positioning system and applies it to the robot’s positioning process. Moreover, this article combines the application of robots in the current social and economic development to construct the system structure, and conducts functional analysis with manufacturing robots and monitoring robots as the main body. After constructing an intelligent robot based on the Internet of Things technology, by comparing the traditional technology and the intelligent robot technology of the Internet of Things, this article combines it with economic development to analyze the promotion of IoT robot to economic development. From the analysis results of this article, it can be seen that the advancement of IoT robot technology can effectively promote economic development.


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