Assessment of readiness for learning and academic success on computer assisted learning: A study on computer integrated manufacturing with lathe

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Betül Erdoğdu Şakar ◽  
İnci Zaim Gökbay ◽  
Adem Karahoca
Keyword(s):  
Academic Success ◽  
Time Management ◽  
Classification Problem ◽  
Computer Integrated Manufacturing ◽  
Support Vector ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
Integrated Manufacturing ◽  
Learning And Teaching ◽  
Lathe Machine

With the improvements in technology, computers are being used for assistance in learning and teaching in different fields. Therefore, Computer Assisted Learning is used for our study to teach operating computer numerical controlled lathe machine in computer integrated manufacturing lab. Our education is planned in major phases: traditional teaching and computer assisted learning. Before the education students took a questionnaire with different subscales to determine the level of readiness for learning. And after the education they took a test on operating the lathe machine to measure the success of the education. Then the students were asked to design a project. This education is a comprehensive one and it is not always possible to make all students use the lathe machine since there can be some issues on safety, time management and waste of products. So with this study it is intended to determine the effect of readiness for learning and academic success on the students and give this education accordingly. A dichotomous classification problem is constructed with the subscales of readiness for learning questionnaire and academic success as features and lathe test result as class labels. Consequently, a model that can determine whether a student would be successful in learning to operate the lathe machine with the subscales of the readiness for learning questionnaire (motivation, health – nutrition, learning, planned working, efficient reading, writing, listening, note taking, attending a course, preparation and attending an exam) and GPA is constructed with Support Vector Machines and leave-one-out cross validation.Keywords: 

scholarly journals An Arabic Mispronunciation Detection System Based on the Frequency of Mistakes for Asian Speakers

2021 ◽  
Vol 40 (2) ◽  
pp. 279-297
Author(s):  
Faria Nazir ◽  
Muhammad Nadeem Majeed ◽  
Mustansar Ali Ghazanfar ◽  
Muazzam Maqsood
Keyword(s):  
Language Learning ◽  
Second Language Learners ◽  
Positive Impact ◽  
Detection System ◽  
Confusion Matrix ◽  
Classification Problem ◽  
Support Vector ◽  
Svm Classifier ◽  
Computer Assisted ◽  
Detection Model

Over the last few decades, the field of artificial intelligence and machine learning has evolved. Due to the advancement in these fields, much work has been done to assist language learning with the help of computers called Computer-Assisted Language Learning (CALL). Mispronunciation detection is one of the significant tasks of the CALL system. An efficient mispronunciation detection model has a positive impact on the life of second language learners by providing phoneme level feedback. In this paper, we introduce the phone grouping technique for mispronunciation detection that is based on mistakes probability. We consider mispronunciation detection as a classification problem, traditionally for this purpose, a separate classifier is trained for each phoneme mistake that requires a lot of memory and time. Instead of training a separate classifier, we group the phoneme based on their mistakes probability that helps in reducing the number of the classifiers to be trained and also saves memory and time. We use the Support Vector Machine (SVM) classifier and test the results on the Arabic dataset (28 Phonemes). The performance of our proposed method is evaluated by using accuracy. The results of the model are evaluated using the confusion matrix and gives an accuracy of 88%. Our approach outperforms the existing systems developed for Arabic phonemes in terms of accuracy and is also time/memory efficient.

scholarly journals Computer-Assisted Education

2020 ◽  
pp. 231-235
Author(s):  
Meka Srivani ◽  
Advin Manhar
Keyword(s):  
Academic Success ◽  
Review Paper ◽  
New Technology ◽  
Integrated Approach ◽  
Traditional Education ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
The World ◽  
Computer Based ◽  
Education Today

The purpose of this review paper is to explore and learn boundlessly about computer-assisted education, and its impact on students and their academic success. Computer-assisted learning provides academics with various teaching information and multimedia platforms for easy learning of students. It interprets the innovation of computer-assisted education and its success in today’s era. Computer-aided education signifies the integrated approach of the computer and its devices. Nevertheless, it does not mean online learning will eventually replace traditional education and teachers, rather teachers using computer-based platforms, and their applications to teaching, like smart classes, videos, and web tutoring with improved resources and reduced teacher workloads. By which, students can arrive, grasp, and engage themselves at their own pace in a co-relational environment. Moreover, in the situation of a pandemic like this, we all are choosing computer-assisted education. Therefore, without computer-facilitated education today, it would have been merely impossible for us to study, and attain education. The world has widely opened and accepted the new technology of computer-assisted education. This paper is done to distinguish the success of computer-assisted education

Design and Application of Modern Educational System Used in Vocational Schools

2012 ◽  
Vol 479-481 ◽  
pp. 1610-1613
Author(s):  
Wei Guo Zhang ◽  
Shi Long Tang
Keyword(s):  
Educational System ◽  
Multimedia Applications ◽  
Vocational Schools ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
Learning And Teaching ◽  
Network Support ◽  
Language Classroom ◽  
The World

Multimedia Computer Assisted Learning which is made up of the modern multimedia applications and network-support technology can offer vigorous and vivid learning and teaching environment. A decade ago, the use of computers in the language classroom was only concern to a number of specialists and experts; however, the developments of these things have resulted in the increased use of multimedia applications for education and the advent of multimedia usages. With the emergency of multimedia usages in vocational schools, the role of computers becomes an important issue meeting a large number of teachers all over the world.

scholarly journals E-Learning

2018 ◽  
Vol 3 (S1) ◽  
pp. 11 ◽  
Author(s):  
A. Pauline Chitra ◽  
M. Antoney Raj
Keyword(s):  
New Media ◽  
Communication Systems ◽  
Online Courses ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
Learning And Teaching ◽  
Learning Content ◽  
Information And Communication ◽  
E Learning ◽  
Traditional Setting

Abstract E-learning presents an entirely new learning environment for students, thus requiring a different skill set to be successful (Romiszowski, 2004). Critical thinking, research, and evaluation skills are growing in importance as students have increasing volumes of information from a variety of sources to sort through (New Media Consortium, 2007). Also, particularly in courses that are entirely electronic, students are much more independent than in the traditional setting. This requires that they be highly motivated and committed to teach (Huynh et al., 2003), with less social interaction with peers or an instructor. Students in online courses tend to do as well as those in classrooms, but there is higher incidence of withdrawal or incomplete grades (Zhang, Zhou and Briggs, 2006). E- Learning can be viewed as computer assisted learning, and as pedagogy for studentcentered and collaborative learning. Early developments in e-learning focused on computer assisted learning, where part or all of the learning content is delivered digitally. More recently the pedagogical dimension of e-learning has become prominent. E-learning comprises all forms of electronically supported learning and teaching. The information and communication systems, whether networked learning or not, serve as specific media to implement the learning process. 

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