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Full-Text Articles in Education
The Reality Of Psychological Preparation Among The Jordanian National Teams For Individual Games During The Coronavirus Outbreak, Ayed Zureigat, Osama Abdel Fattah
The Reality Of Psychological Preparation Among The Jordanian National Teams For Individual Games During The Coronavirus Outbreak, Ayed Zureigat, Osama Abdel Fattah
Jordan Journal of Applied Science-Humanities Series
This study aimed to identify the reality of psychological preparation among the Jordanian national team's players for individual games during the Coronavirus outbreak. In addition, to identify the depression and anxiety level among the Jordanian national team's players for individual games during the Coronavirus outbreak. To achieve this, we used the descriptive method on a sample consisting of (n = 54). In addition, to reduce face-to-face interaction, an electronic questionnaire was built by using (Google Form), as it consisted of (28) paragraph that dealt with depression, anxiety, and psychological methods used with players. Where (12) paragraph was related to depression …
Obstacles Of Using E-Learning In The Light Of Spreading Coronavirus (Covid-19) From The Perspective Of Public Schools' Teachers At Bani Obeid District, Osama Al-Masarwah
Obstacles Of Using E-Learning In The Light Of Spreading Coronavirus (Covid-19) From The Perspective Of Public Schools' Teachers At Bani Obeid District, Osama Al-Masarwah
Jordan Journal of Applied Science-Humanities Series
This study aimed to show the obstacles degree of using e-learning in the light of spreading coronavirus from the perspective of public schools' teachers at Bani Obeid district, and if there were significant statistical differences due to the variables (gender, years of experience and qualification). on teachers' estimations to the obstacles degree of using e-learning in the light of spreading coronavirus. The researcher used the descriptive survey methodology, and the sample of the study consisted of (433) teachers. To achieve the above, a questionnaire consisting of (32) items was built. The results showed that the teachers' estimations in Bani Obeid's …
Identifying Informative Coronavirus Tweets Using Recurrent Neural Network Document Embedding, Rami Yousuf
Identifying Informative Coronavirus Tweets Using Recurrent Neural Network Document Embedding, Rami Yousuf
Palestine Technical University Research Journal
The coronavirus pandemic has led to the spread of tremendous fake news and misleading information through tweets. Hence, an interesting task of classifying tweets into informative and uninformative has motivated researchers to employ machine learning techniques. The state-of-the-art studies showed high dependency on transformers architecture. However, the transformers architecture suffers from the catastrophic forgetting problem where important contextual information is being forgotten by the gradients. Therefore, this paper proposes a document embedding using Recurrent Neural Network. Lastly, three classifiers of LR, SVM and MLP have been used to classify documents into Informative and Uninformative. Using the benchmark dataset of WNUT-2020 …