Publisher: CCSE   (Total: 43 journals)   [Sort by number of followers]

Showing 1 - 43 of 43 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 6)
Asian Culture and History     Open Access   (Followers: 17)
Asian Social Science     Open Access   (Followers: 8)
Cancer and Clinical Oncology     Open Access   (Followers: 9)
Computer and Information Science     Open Access   (Followers: 14)
Earth Science Research     Open Access   (Followers: 10)
Energy and Environment Research     Open Access   (Followers: 14)
Engineering Management Research     Open Access   (Followers: 7)
English Language and Literature Studies     Open Access   (Followers: 25)
English Language Teaching     Open Access   (Followers: 32)
Environment and Natural Resources Research     Open Access   (Followers: 7)
Environment and Pollution     Open Access   (Followers: 12)
Global J. of Health Science     Open Access   (Followers: 10, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 68)
Intl. Business Research     Open Access   (Followers: 7)
Intl. Education Studies     Open Access   (Followers: 10)
Intl. J. of Biology     Open Access   (Followers: 2)
Intl. J. of Business and Management     Open Access   (Followers: 21)
Intl. J. of Chemistry     Open Access   (Followers: 12)
Intl. J. of Economics and Finance     Open Access   (Followers: 18)
Intl. J. of English Linguistics     Open Access   (Followers: 12)
Intl. J. of Marketing Studies     Open Access   (Followers: 21)
Intl. J. of Psychological Studies     Open Access   (Followers: 6)
Intl. J. of Statistics and Probability     Open Access   (Followers: 5)
Intl. Law Research     Open Access   (Followers: 2)
J. of Agricultural Science     Open Access   (Followers: 14)
J. of Education and Learning     Open Access   (Followers: 3)
J. of Educational and Developmental Psychology     Open Access   (Followers: 19)
J. of Food Research     Open Access   (Followers: 4)
J. of Geography and Geology     Open Access   (Followers: 15)
J. of Management and Sustainability     Open Access   (Followers: 9)
J. of Materials Science Research     Open Access   (Followers: 8)
J. of Mathematics Research     Open Access   (Followers: 6)
J. of Molecular Biology Research     Open Access   (Followers: 3)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 11)
J. of Sustainable Development     Open Access   (Followers: 31)
Mechanical Engineering Research     Open Access   (Followers: 19)
Modern Applied Science     Open Access   (Followers: 2)
Network and Communication Technologies     Open Access   (Followers: 4)
Public Administration Research     Open Access   (Followers: 1)
Review of European Studies     Open Access   (Followers: 12)
Sustainable Agriculture Research     Open Access   (Followers: 3)
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Higher Education Studies
Number of Followers: 68  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1925-4741 - ISSN (Online) 1925-475X
Published by CCSE Homepage  [43 journals]
  • Design on Big data Platform-based in Higher Education Institute

    • Abstract: According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the security and privacy of Big Data and Big Data analysis in organizations, government agencies, and educational institutions also have an impact on the aspect of designing a Big Data platform for higher education institute (HEi). It is a digital learning platform that is an online instruction and the use of digital media for educational reform including a module provides information on functions of various modules between computers and humans. 1) Big Data architecture is a framework for an architecture of numerous data which consisting of Big Data Infrastructure (BDI), Data Storage (Cloud-based), processing of a computer system that uses all parts of computer resources for optimal efficiency (High-Performance Computing: HPC), a network system to detect the target device network. Thereafter, according to Hadoop’s tools and techniques, when Big Data was introduced with Hadoop's tools and techniques, the benefits of the Big Data platform would provide desired data analysis by retrieving existing information, to illustrate, student information and teaching information that is large amounts of information to adopt for accurate forecasting.
      PubDate: Thu, 08 Oct 2020 01:14:03 +000
       
  • Values and Dispositions of Omani Novice Teachers as Perceived by School
           Principals and Assistant Principals

    • Abstract: Equipping teacher candidates with values and dispositions has become an important part of the conversation about effective teaching and teacher preparation programs are increasingly expected to integrate dispositions in their agenda. The purpose of the present study is two-folded. It aims at investigating the kind of dispositions of novice Omani teachers as perceived by school principals and assistant principals. It also aims to identify the type of factors that affect the shaping of novice teachers’ dispositions/values. Interviews were conducted with ten school principals and five assistant principals from various public schools in two different directorates of education in Oman. Data of the interviews were analyzed qualitatively by identifying the most emerging themes in terms of the most and least developed dispositions as well as factors shaping them. Findings revealed that dispositions related to ambition and flexibility were highly observed among novice teachers while dispositions related to sense of belonging and commitment and responsibility were less observed. The study also showed that there was a range of factors shaping the development of novice teachers dispositions ranging from broader macro factors such as how the society views a teacher and the appointment situation in Oman to more micro institutional factors such as the huge demands of the job and the type and level of support that schools provide to novice teachers. The paper makes recommendations relevant to both teacher preparation programs and the Ministry of Education.
      PubDate: Thu, 08 Oct 2020 01:08:49 +000
       
  • A Machine Learning-Based Computational System Proposal Aiming at Higher
           Education Dropout Prediction

    • Abstract: In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course leaving the educational institution without finishing the course. This paper describes the proposal of the architecture of a computational system, PDE (Predicting Dropout Events), based on machine learning (ML) algorithms and specifically designed for predicting dropout events in a higher level educational environment. PDE’s main subsystem implements a group of instance-based learning (IBL) algorithms which, taking into account a particular university-course environment, and based on log files containing descriptions of previous dropouts events, is capable to predict when a student already engaged in the course, is prone to dropout, so preventive measures could be quickly implemented.
      PubDate: Thu, 10 Sep 2020 02:24:05 +000
       
  • The Process-oriented Assessment Model of Business English Translation
           Course in a Flipped Learning Context

    • Abstract: Based on the preliminary research findings in the project-based flipped learning model in Business English Translation course, this study designed a process-oriented assessment model for this course and tested its efficacy by an empirical study on 181 third-year English major students divided into three experimental class and three control class under a flipped learning context. The process-oriented assessment model in Business English Translation course is both synchronic and diachronic, by incorporating multiple assessment subjects including both the teacher and the students and the complete learning activities before, during and after class. This study conducted a pre-test and an after-test to examine the students’ command of key translation knowledge and skills, and meanwhile, to evaluate the improvement of students’ translation competence after the implementation of the process-oriented assessment mode. Questionnaires and surveys were also employed in this study so as to collected students’ response to the new assessment model. The data and results collected from the above-mentioned research methods indicate that the process-oriented assessment model can significantly enhance students’ motivation and performance in Business English Translation course.
      PubDate: Fri, 28 Aug 2020 01:36:14 +000
       
 
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