Issues and Challenges in Applying Computer-Based Distance Learning system as an alternative to traditional training methods
نویسندگان
چکیده
Many scholars have listed the problems that prevent organizations’ employees to attend face to face training methods. Additionally, they have presented Information and Communication Technology (ICT) especially distance learning system as important way to overcome these obstacles. However, they did not depend on empirical studies to mention those problems and to compare between traditional training method and applying computer-based distance learning system. Therefore, this survey aims to distinguish between the traditional training methods and computer-based distance learning system as an important way to overcome employees’ problems with traditional training, including the challenges and some issues.
منابع مشابه
The social presence theory in distance education; the role of social presence in web-based educational environment
Dear editor-in-chief, The Future of Medical Education Journal The emergence of new theories of learning and education and a paradigm shift from being teacher-centered to student-centered alongside with advancement of novel communication technologies have set the grounds for modern human to use new methods of teaching-learning and free himself of the chains of time and place and keep on learning...
متن کاملImproving Accuracy in Intrusion Detection Systems Using Classifier Ensemble and Clustering
Recently by developing the technology, the number of network-based servicesis increasing, and sensitive information of users is shared through the Internet.Accordingly, large-scale malicious attacks on computer networks could causesevere disruption to network services so cybersecurity turns to a major concern fornetworks. An intrusion detection system (IDS) could be cons...
متن کاملIRDDS: Instance reduction based on Distance-based decision surface
In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...
متن کاملA New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملDistance Education in the Digital Era and Connectivism Theory
Background: With the arrival of the industrial Century, the educational system changed and different forms of education, including distance Education were created. Firstly, distance education based on traditional learning theories, but because that these theories are not able to respond and solve the challenges facing the education system in the modern century connectivism theory was creat...
متن کامل