A comparison of achievement resulting from learning electronics concepts by computer simulation versus traditional laboratory instruction

This study was designed to compare student achievement resulting from learning electronics concepts by computer simulation versus traditional laboratory instruction (manipulating actual components). The purpose of this study was to enhance the student knowledge about passive-devices electronics circuitry. Two groups of college students participated in this study over an academic year;The review of literature indicated three types of results from the computer simulation and its effects on students: (1) positive effect; (2) negative effect; (3) no effect. The majority of researches indicated that computer simulation enhances the student knowledge of the subject matter;Pretests were given to both groups in the first two weeks of this study. Twelve topics were covered in duration of this study. Each group received one hour of lecture and four hours of laboratory instruction per topic. The experimental group received two hours of computer simulation laboratory instructions followed by two hours of traditional laboratory instructions. The control groups received four hours of traditional laboratory instructions. Twelve quizzes, twelve homework assignments, a midterm and a final examination were given to the participants. All quizzes, homework assignments in addition to the midterm and final examinations were based on multiple-choice questions;Findings indicated that there were no significant differences between the control group and the experimental group for homework assignments, midterm and final, however, there were significant differences for the quizzes at [alpha]-.05. The control group scored significantly for the first (Ohm\u27s law and power), fifth (alternating current and voltages), sixth (capacitors) and eleventh (frequency response of RLC circuits) quizzes. Interactions between the students were detected for the homework variable. Interactions between the midterm and the final examination were also detected;The results of this study revealed that the computer simulation should be applied to complex topics, however, this learning process should begin with the beginning courses. This study also concluded that more time is needed for students who do not have computer literacy. Overall findings were in favor of using computer simulation in industrial/electronics technology and its related areas

Virtual Maintenance, Reality, and Systems: A Review

Virtual Reality is a computer-generated, mock environment that can allow people to interact with it in a seemingly real way by using certain types of specialized equipment. It is mainly used for training or educational purposes and allows for “real-life” training in a safe and monitored environment. Virtual training can be used in many different fields such as medical, military, biomedical research, aviation, and many others. However, this paper reviews the most cited publications related to the application of virtual reality for training in the United States Military. As a result, researchers can find research venues based on the challenges, risk, and infrastructures

Company Performance Improvement by Quality Based Intelligent-ERP

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers’ decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP

Company performance improvement by quality based intelligent-ERP

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers’ decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP

Automated Adaptive Mobile Learning System using Shortest Path Algorithm and Learning Style

A directed graph represents an accurate picture of course descriptions for online courses through computer-based implementation of various educational systems. E-learning and m-learning systems are modeled as a weighted, directed graph where each node represents a course unit. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose a system prototype that implements a propose adaptive learning path algorithms that uses the student’s information from their profile and their learning style in order to improve the students’ learning performances through an m-learning system that provides a suitable course content sequence in a personalized manner.https://doi.org/10.3991/ijim.v12i5.818

Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation

Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is, generally, a very difficult, tedious and time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC) systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. The aim of this paper is to survey the progress and challenges in various existing Electroencephalogram (EEG) signal-based methods used for sleep stage identification at each phase; including pre-processing, feature extraction and classification; in an attempt to find the research gaps and possibly introduce a reasonable solution. Many of the prior and current related studies use multiple EEG channels, and are based on 30 s or 20 s epoch lengths which affect the feasibility and speed of ASSC for real-time applications. Thus, in this paper, we also present a novel and efficient technique that can be implemented in an embedded hardware device to identify sleep stages using new statistical features applied to 10 s epochs of single-channel EEG signals. In this study, the PhysioNet Sleep European Data Format (EDF) Database was used. The proposed methodology achieves an average classification sensitivity, specificity and accuracy of 89.06%, 98.61% and 93.13%, respectively, when the decision tree classifier is applied. Finally, our new method is compared with those in recently published studies, which reiterates the high classification accuracy performance.https://doi.org/10.3390/e1809027

A comparison of achievement resulting from learning electronics concepts by computer simulation versus traditional laboratory instruction

This study was designed to compare student achievement resulting from learning electronics concepts by computer simulation versus traditional laboratory instruction (manipulating actual components). The purpose of this study was to enhance the student knowledge about passive-devices electronics circuitry. Two groups of college students participated in this study over an academic year;The review of literature indicated three types of results from the computer simulation and its effects on students: (1) positive effect; (2) negative effect; (3) no effect. The majority of researches indicated that computer simulation enhances the student knowledge of the subject matter;Pretests were given to both groups in the first two weeks of this study. Twelve topics were covered in duration of this study. Each group received one hour of lecture and four hours of laboratory instruction per topic. The experimental group received two hours of computer simulation laboratory instructions followed by two hours of traditional laboratory instructions. The control groups received four hours of traditional laboratory instructions. Twelve quizzes, twelve homework assignments, a midterm and a final examination were given to the participants. All quizzes, homework assignments in addition to the midterm and final examinations were based on multiple-choice questions;Findings indicated that there were no significant differences between the control group and the experimental group for homework assignments, midterm and final, however, there were significant differences for the quizzes at [alpha]-.05. The control group scored significantly for the first (Ohm's law and power), fifth (alternating current and voltages), sixth (capacitors) and eleventh (frequency response of RLC circuits) quizzes. Interactions between the students were detected for the homework variable. Interactions between the midterm and the final examination were also detected;The results of this study revealed that the computer simulation should be applied to complex topics, however, this learning process should begin with the beginning courses. This study also concluded that more time is needed for students who do not have computer literacy. Overall findings were in favor of using computer simulation in industrial/electronics technology and its related areas.</p

Design for six sigma: A review

Six Sigma is recognized as an essential tool for continuous improvement of quality. A large num-ber of publications by various authors reflect the interest in this technique. Reviews of literature on Six Sigma have been done in the past by a few authors. However, considering the contributions in the recent times, a more comprehensive review is attempted here. The authors have examined vari-ous papers and have proposed a different scheme of classification. In addition, certain gaps that would provide hints for further research in Six Sigma have been identified. As a results the rela-tionship between Six Sigma, Design for Six Sigma (DFSS), and how these two concepts support the quality system for organizational learning and innovation performance have been discussed that would help researchers, academicians and practitioners to take a closer look at the growth, devel-opment and applicability of Six Sigma in Design

Web-Based Distance Learning System For Opportunities For Hearing Impaired Students

Various models of distance learning are being used for deaf students at post-secondary levels. The web-based distance learning that enhances classroom instruction, synchronous videoconferencing that supports staff development, admissions and recruitment efforts, and desktop videoconferencing are valid modes for deaf student. Included in the discussion are recommendations for innovative uses of distance learning with deaf students, and the opportunity for continuing this discussion through the use of distance learning technologies. © American Society for Engineering Education, 2007