scholarly journals Sentiment Analysis of Arabic Tweets Regarding Distance Learning in Saudi Arabia during the COVID-19 Pandemic

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5431
Author(s):  
Malak Aljabri ◽  
Sara Mhd. Bachar Chrouf ◽  
Norah A. Alzahrani ◽  
Leena Alghamdi ◽  
Reem Alfehaid ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Distance Learning ◽  
General Education ◽  
Ministry Of Education ◽  
Inverse Document Frequency ◽  
Social Distancing ◽  
Document Frequency ◽  
The University ◽  
Negative Sentiment ◽  
Logistic Regression Classifier

The COVID-19 pandemic has greatly impacted the normal life of people worldwide. One of the most noticeable impacts is the enforcement of social distancing to reduce the spread of the virus. The Ministry of Education in Saudi Arabia implemented social distancing measures by enforcing distance learning at all educational stages. This measure brought about new experiences and challenges to students, parents, and teachers. This research measures the acceptance rate of this way of learning by analysing people’s tweets regarding distance learning in Saudi Arabia. All the tweets analysed were written in Arabic and collected within the boundary of Saudi Arabia. They date back to the day that the distance learning announcement was made. The tweets were pre-processed, and labelled positive, or negative. Machine learning classifiers with different features and extraction techniques were then built to analyse the sentiment. The accuracy results for the different models were then compared. The best accuracy achieved (0.899) resulted from the Logistic regression classifier with unigram and Term Frequency-Inverse Document Frequency as a feature extraction approach. This model was then applied on a new unlabelled dataset and classified to different educational stages; results demonstrated generally positive opinions regarding distance learning for general education stages (kindergarten, intermediate, and high schools), and negative opinions for the university stage. Further analysis was applied to identify the main topics related to the positive and negative sentiment. This result can be used by the Ministry of Education to further improve the distance learning educational system.

General Education Curricula in Saudi Arabia: A Study of Trends and Methods

2021 ◽  
Vol 7 (5) ◽  
pp. 3787-3794
Author(s):  
Ayed T. Alharbi
Keyword(s):  
Saudi Arabia ◽  
General Education ◽  
Agricultural Sector ◽  
Individual Growth ◽  
Ministry Of Education ◽  
Scientific Concepts ◽  
Practical Applications ◽  
Current Trends ◽  
Social Decisions ◽  
Qualitative Technique

Objectives: This research aims to examine contemporary trends and methods to improve general education curricula in Saudi Arabia. The study employs a qualitative technique based on recent research, books, journals, and other publications. The findings of this study show that the ministry of education in Saudi Arabia must follow current trends and approaches in improving general education curricula that strive to afford educated individuals with a suitable scientific education that prepares them for life in the twenty-first century, which leads them to the acquisition and mastery of advanced and usable scientific concepts. There is, also, a greater understanding and mastery of advanced scientific concepts, as well as the ability to apply science skills and processes, which led to an improvement in students’ innovative and creative abilities, positive scientific attitudes towards science, and the ability to make sound personal and social decisions. It is possible to develop an educational curriculum in a variety of ways, such as by staying abreast of changes in the work environment which also ensures professional and individual growth. The changes in the economy, the agricultural sector, culture, education, availability of suitable logistics, and a balance between theoretical themes and practical applications are all components of the general education curricula in Saudi Arabia.

scholarly journals English Writing Errors Committed by Saudi Students: A Study of Two Female University Groups

2020 ◽  
Vol 10 (3) ◽  
pp. 124
Author(s):  
Islam Ababneh
Keyword(s):  
Social Media ◽  
Saudi Arabia ◽  
Social Life ◽  
Writing Skills ◽  
Educational Material ◽  
Ministry Of Education ◽  
English Writing ◽  
Saudi Students ◽  
The University ◽  
Writing Errors

The main aim of this study is to highlight the writing errors made by Saudi students majoring in English. The study selected a sample of two groups of female Saudi students residing in two Saudi regions: Tabuk and Hafr Al Batin. The students were requested to write approximately three to four paragraphs about one of three topics related to Saudi Arabia: social media and its effects on Saudi social life, marriage customs in Saudi Arabia, or the economy of Saudi Arabia. In analyzing the collected writing data, the students’ writing errors were identified and classified into four categories: grammar type, syntax type, mechanics type, and lexical type errors. Then, the frequency and error percentages of each subcategory were calculated for both groups. The findings show that both groups produced most errors in the subcategory of spelling followed by tenses subcategory even though the students from the University of Hafr Al Batin made overall higher percentages of errors than the errors’ percentages made by the students from the University of Tabuk. Further investigation reveals that all students in both regions hardly practice English writing and that Arabic interference contributes to the students’ English writing errors. The findings also imply that the curricula specialists at the Saudi ministry of education might consider including more educational material to improve the English writing skills of Saudi university students.

Sistem Perekomendasi Dosen Pembimbing berdasarkan Relevansi Topik Tugas Akhir menggunakan Metode Okapi BM25

Repositor ◽  
2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Meilina Agustina ◽  
Yufiz Azhar ◽  
Nur Hayatin
Keyword(s):  
Recommendation System ◽  
School Teacher ◽  
Primary School Teacher ◽  
Education Department ◽  
Inverse Document Frequency ◽  
Term Frequency ◽  
Document Frequency ◽  
Teacher Education Department ◽  
Primary School Teacher Education ◽  
The University

AbstrakSistem rekomendasi adalah sebuah perangkat lunak untuk memberikan rekomendasi kepada pengguna mengenai produk yang dapat digunakannya. Masalah administrasi di kantor jurusan Pendidikan Guru Sekolah Dasar Universitas Muhammadiyah Malang merupakan salah satu permasalahan yang selalu dihadapi oleh para staf TU dan part timer. Penggunaan sistem manual yang masih berjalan saat ini dinilai kurang efektif terhadap waktu, tempat, dan tenaga sehingga diperlukan adanya bantuan berupa sistem informasi. Pada perancangan sistem informasi ini akan menggunakan metode Okapi BM25 dimana metode ini merupakan fungsi peringkat yang digunakan oleh mesin pencari (search engine) untuk peringkat dokumen pencocokan sesuai relevansinya dengan permintaan pencarian yaitu berupa topik tugas akhir. BM25 memiliki fungsi yang sesuai dengan 3 prinsip pembobotan yang baik, yaitu memiliki inverse document frequency (idf), term frequency (tf), dan memiliki fungsi normalisasi dari panjang dokumen (document length normalization).Abstract The recommendation system is a software to provide recommendations to users about the products they can use. The administrative problem in the office of the Primary School Teacher Education department at the University of Muhammadiyah Malang is one of the problems faced by the Administration staff and part timers. The use of manual systems that are still running at this time is considered to be less effective against time, place, and energy, so that assistance in the form of information systems is needed. In designing this information system will use the Okapi BM25 method where this method is a ranking function used by search engines for matching document rankings according to their relevance to search queries, namely in the form of final assignment topics. BM25 has functions that are in accordance with the 3 principles of good weighting, which has an inverse document frequency (idf), term frequency (tf), and has a document length normalization function.

scholarly journals A New Model for Enhancing Student Portal Usage in Saudi Arabia Universities

2021 ◽  
Vol 11 (3) ◽  
pp. 7158-7171
Author(s):  
S. S. T. Alatawi ◽  
S. Miskon ◽  
N. S. Abdullah ◽  
F. Ghabban ◽  
F. Saeed ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Rapid Development ◽  
Quantitative Methodology ◽  
Ministry Of Education ◽  
Information And Communication ◽  
The University ◽  
Different Sources ◽  
Significant Factors

Portals are gateways that provide users with the information they need from different sources and display it on a single page. It is important to see that universities utilize the resources and services provided by their student portals. With the rapid development of Information and Communication Technology (ICT), the Ministry of Education in Saudi Arabia aims to develop and improve student portals by providing high-quality teaching services through the university portal systems. This paper discusses the importance of student portal usage in Saudi Arabian universities and investigates the factors that influence the utilization of student portals as perceived by the students of the Saudi universities. Based on these factors, a model is proposed which identifies students’ expectations about the Saudi university portals. A quantitative methodology was employed to develop the model. The results revealed that 8 out of 10 factors of the model are significant and positively affect student portal usage. The enhancement of student portals based on the identified significant factors will assist the universities to increase their utilization and their provided services.

scholarly journals THE EXPERIENCE OF THE FOREIGN LANGUAGE TEACHING AT KRASNOYARSK STATE AGRARIAN UNIVERSITY ON ZOOM PLATFORM IN THE PANDEMIC CONDITIONS

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
Z.N SHMELEVA ◽  
Keyword(s):  
Distance Learning ◽  
General Education ◽  
Information And Communication Technologies ◽  
World Health ◽  
Educational Institutions ◽  
Advantages And Disadvantages ◽  
Current Events ◽  
The University ◽  
Short Time ◽  
The Impact

At the present stage of the development of world civilization, it is problematic to find a field of activity that is not affected to some extent by the consequences of the spread of a new coronavirus infection. The previously unthinkable situation has become a serious and critical test of readiness not only for the world health service, but also for educational institutions at all levels. General education schools, colleges and universities were forced to transform the education process into a new format, experimenting with mass “remote learning”. One can assert that the impact of the pandemic on education, including higher education, has radically changed its foundations. all educational institutions, including universities, found themselves in difficult conditions and were forced to adapt to the current events in a short time, spend significant financial and human resources for accelerated digitalization of education, trying to maintain the quality of education in the current conditions. Educational information and communication technologies, which seemed to be a form of education of the future, also changed their former essence and purpose. Universities were forced to solve many pressing issues in a short time: in what forms to conduct distance learning; what technical means to use for this; how to assess the assimilation of students of the material received; how to conduct final exams, defense of diploma projects, and how to conduct the enrollment for the next academic year. Krasnoyarsk State Agrarian University did not stay away from the events. And if in March 2020, the university mainly conducted remote training on the Moodle platform, designed more for independent work of students, then during the second wave, the university successfully conducts distance learning on the modern Zoom platform. The purpose of the article is to show the experience of using the above-mentioned platform in teaching foreign languages, considering its advantages and disadvantages.

scholarly journals UNIVERSITY OF CINCINNATI: CASE STUDY OF ONLINE STUDENT SUCCESS

2019 ◽  
Vol 13 (3) ◽  
Author(s):  
Melody Clark ◽  
Lisa Holstrom ◽  
Ann M. Millacci
Keyword(s):  
Distance Learning ◽  
General Education ◽  
21St Century ◽  
Professional Education ◽  
Research University ◽  
Degree Programs ◽  
Baccalaureate Degrees ◽  
Learning Programs ◽  
University Of Cincinnati ◽  
The University

The University of Cincinnati (UC) is a premier, public, urban research university dedicated to undergraduate, graduate, and professional education, experience-based learning, and research. The University also maintains a deep commitment to accessible education. Distance learning is an integral part of the University’s 21st century approach to meeting diverse educational needs of students - increasing access to high quality educational programs and offerings and meeting mounting workforce and student demands and expectations for customized curriculum, flexible delivery and use of 21st century technology.UC has entire degree programs available online, as well as a variety of stand-alone distance learning courses, such as General Education courses. These courses are offered quarterly to serve students in distance learning programs, as well as students in on-campus programs.In a recent review UC students matriculated in online undergraduate degree programs (two associate and five baccalaureate degrees) taking 100 and 200 level courses during Autumn quarter 2008, it was noted that 85.15% of these learners successfully completed courses with a grade of C- or better for each course. The strategic framework of success is grounded in the University’s academic strategic plan and commitment to provide quality learning experiences for all students. Noted are examples of strategies that align with Sloan-C Pillars of Success.

scholarly journals Case Study on Distance Learning for K-12 Education in Japan: The Nagasaki-Takaoka Model

2021 ◽  
pp. 123-136
Author(s):  
Masaki Umejima ◽  
Cherry H. Y. Wong ◽  
Jiro Kokuryo ◽  
Jun Murai ◽  
David Farber ◽  
...  
Keyword(s):  
Public Schools ◽  
Distance Learning ◽  
Reference Model ◽  
The Internet ◽  
Ministry Of Education ◽  
Ict System ◽  
K 12 ◽  
Education Culture ◽  
The University ◽  
Ict Policy

AbstractA pre-existing partnership between the Japanese Government and Keio University paved the way for K-12 education to embrace distance learning. The university has been engaging in the revision of educational ICT policies in Japan for many years. In Japan, universities have been accumulating knowledge in distance learning practices since the emergence of the Internet, though earlier educational ICT policy required the ICT system in K-12 education to depend on dedicated Internet lines. In December 2019, the Japanese Ministry of Education, Culture, Sports, Science, and Technology (MEXT) announced a new ICT policy to allow K-12 education to launch distance learning classes via public cloud on the Internet. The university’s experience with running distance learning, bundled with the stipulations of the new educational ICT policy, enabled K-12 education to carry out distance learning. New subjects can be taught daily, and continuity of education is ensured in disaster situations, such as the Covid-19 pandemic. The research team at Keio University built the “Nagasaki-Takaoka Model” as a reference model with the added aim of ensuring data security and trust in the open network. In December 2020, Takaoka City successfully deployed the “Nagasaki-Takaoka Model” across all public schools.

scholarly journals Disquisition of Sentiment Inquiry with Hashing and Counting Vectorizer using Machine Learning Classification

2019 ◽  
Vol 9 (1) ◽  
pp. 737-743
Keyword(s):  
Sentiment Analysis ◽  
Data Cleaning ◽  
Bayes Classifier ◽  
Frequency Method ◽  
Inverse Document Frequency ◽  
Machine Learning Classification ◽  
Review Analysis ◽  
Document Frequency ◽  
Resampled Dataset ◽  
Logistic Regression Classifier

With the rapid growth in technology, analysis of feedback and reviews by the customers in companies and industries becomes a major challenge. The profit of the company mainly depends on the customer satisfaction. The view of the customer can be analyzed only through feedback. The review analysis can be utilized for the prediction of current sales and future sales of the company. With this overview, the paper aims in performing the sentiment analysis of the movie review. The Type of comment given by the customer is predicted and categorized into classes. The sentiment Analysis on movie Review dataset taken from the KAGGLE leading Dataset repository is used for implementation. The categorization of sentiment classes is achieved in five categories. Firstly, the target count for each sentiment is portrayed. The Resampling is done for equalizing the target sentiment count. Secondly, the extraction of sentiment feature words for each target is displayed and the data cleaning is done with Term Frequency Inverse document Frequency method. Thirdly, the resampled dataset is then fitted with the various classifiers like Multinomial Naives Bayes Classifier, Logistic Regression Classifier, KNearest Neighbors Classifier, Bernoulli Naives Bayes Classifier, Complement Naives Bayes Classifier, Nearest Centroid Classifer, Passive Aggressive Classifier, SGD Classifier, Ridge Classifier, Perceptron Classifier. Fourth, the feature extraction is done with Hashing Vectorizer and Counting Vectorizer. The vocabulary features are also displayed from the dataset. Fifth, the Performance analysis of clasifier is done with metrics like Accuracy, Recall, FScore and Precision. The implementation is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that the sentiment prediction and classification done by Ridge classifier is found to be effective with Precision of 0.89, Recall of 0.88, FScore of 0.87 and Accuracy of 89%.

scholarly journals Providing accessible distance learning for students with disabilities in Saudi Arabia

2022 ◽  
Vol 9 (1) ◽  
pp. 34-40
Author(s):  
Alsamiri et al. ◽  
Keyword(s):  
Saudi Arabia ◽  
Distance Learning ◽  
Students With Disabilities ◽  
Educational Television ◽  
Traditional Learning ◽  
Electronic Systems ◽  
Ministry Of Education ◽  
National Education ◽  
Policies And Programs ◽  
The Individual

After the COVID-19 outbreak, Saudi Arabia’s Ministry of Education transformed the education system from traditional learning to distance learning (DL). The aim of this study is to share the Saudi experience including plans, policies, and programs regarding the use of DL for students at various levels of education. This is the pioneer study from Saudi Arabia, which evaluates DL impact on special students and provides recommendations for such students regarding DL. The Saudi Ministry of Education released one of the most powerful and diverse electronic systems with fully interactive technology options through the following platforms: Madrasati School, the IEN National Education Portal, IEN educational television, and virtual kindergarten. The same platforms are accessible for students with disabilities and we have found that such students can equally benefit from them with some modifications. These modifications are on the individual needs of special students. This article presents the details of various tools and programs available for DL to students in Saudi Arabia. Furthermore, we have analyzed the suitability of these programs for special students in our discussion. Finally, we have made our recommendation and provided future directions to improve the DL experience for students with disabilities.

scholarly journals Students Query Classification System

2021 ◽  
Vol 9 (5) ◽  
pp. 191-194
Author(s):  
S Nithish Kumar ◽  
M Sai Subhakar ◽  
K Veeresh
Keyword(s):  
Machine Learning ◽  
Classification System ◽  
Inverse Document Frequency ◽  
Term Frequency ◽  
Document Frequency ◽  
Educational Institute ◽  
Query Classification ◽  
The University

A University or educational institute generally receives a bulk of complaints posted by students every day. The issues relate to their academics or any issues related to their education or related to exam sections etc., because of these bulk of complaints received from the students every day, makes it difficult for the university to sort out them and classify them and send them to their respective departments for resolving the issues. In this project, we work on classifying these complaints based on the classes or departments they belong to, using. By using TF-IDF (term frequency-inverse document frequency) it finds terms which are more related to a specific document by converting to vectors. By capturing some keywords in the complaints, adding some weight to the keywords and using different Machine Learning classification’s we are classifying the complaint based on these keywords. This classification makes the works easier for the university and saves time which is used to sort them and gives better service for the students. Now they can directly send the complaints to the respective departments with ease.

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