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Artículos de revistas sobre el tema "Data processing in higher education"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 20 de febrero de 2023

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1

Zörög, Zoltán, Tamás Csomós, and Csaba Szűcs. "ERP systems in higher education." Applied Studies in Agribusiness and Commerce 6, no. 3-4 (November 30, 2012): 103–9. http://dx.doi.org/10.19041/apstract/2012/3-4/14.

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In the past few decades data processing and in-company communication has changed significantly. First there were only a few computers purchased at companies, therefore departments developed applications that covered corporate administration which lead to so called isolated solutions. These days with the spread of electronic data processing the greatest problem for companies is not gaining information – since they can be found in all sorts of databases and data warehouses as internal or external information – rather producing information that is necessary in a given situation. What can help to

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García-Vélez, Roberto Agustín, Martín López-Nores, Gabriel González-Fernández, Vladimir Espartaco Robles-Bykbaev, Manolis Wallace, José J. Pazos-Arias, and Alberto Gil-Solla. "On Data Protection Regulations, Big Data and Sledgehammers in Higher Education." Applied Sciences 9, no. 15 (July 31, 2019): 3084. http://dx.doi.org/10.3390/app9153084.

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Universities in Latin America commonly gather much more information about their students than allowed by data protection regulations in other parts of the world. We have tackled the question of whether abundant socio-economic data can be harnessed for the purpose of predicting academic outcomes and, thereby, taking proactive actions in student attention, course planning and resource management. A study was conducted to analyze the data gathered by a private university in Ecuador over more than 20 years, to normalize them and to parameterize a Multi-Layer Perceptron neural network, whose best-p

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3

Pratsri, Sajeewan, and Prachyanun Nilsook. "Design on Big data Platform-based in Higher Education Institute." Higher Education Studies 10, no. 4 (October 8, 2020): 36. http://dx.doi.org/10.5539/hes.v10n4p36.

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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 learni

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Amare, Meseret Yihun, and Stanislava Simonova. "Learning analytics for higher education: proposal of big data ingestion architecture." SHS Web of Conferences 92 (2021): 02002. http://dx.doi.org/10.1051/shsconf/20219202002.

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Research background: Higher education institutions are generating multiple formats of data from diverse sources across the globe. The data ingestion layer is responsible for collecting data and transform for analysis. Learning analytics plays a vital role in providing decision-making support and selection of suitable timely intervention. The lack of tailored big-data ingestion architectures for academics led to several implementation challenges. Purpose of the article: The purpose of this article is to propose data ingestion architecture enabled for big data learning analytics. Methods: The st

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5

Zhang, Guolei, Jia Li, and Li Hao. "Cloud Computing and Its Application in Big Data Processing of Distance Higher Education." International Journal of Emerging Technologies in Learning (iJET) 10, no. 8 (December 14, 2015): 55. http://dx.doi.org/10.3991/ijet.v10i8.5280.

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In the development of information technology the development of scientific theory has brought the progress of science and technology. The progress of science and technology has an impact on the educational field, which changes the way of education. The arrival of the era of big data for the promotion and dissemination of educational resources has played an important role, it makes more and more people benefit. Modern distance education relies on the background of big data and cloud computing, which is composed of a series of tools to support a variety of teaching mode. Clustering algorithm can

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Prykhodko, Kseniia, Olena Khil, Olena Pobirchenko, Oksana Umrixina, Vera Kalabska, and Olha Bobyr. "Art education on big data and digital platforms base of higher education institutions." International journal of health sciences 6, no. 1 (February 21, 2022): 357–65. http://dx.doi.org/10.53730/ijhs.v6n1.4440.

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The study aimed to identify Big Data components and the role of the digital platform used for art education. In addition, the aim can be considered a definition of participants' role in the educational process in a broad application of Big Data and digital platforms. In conducting the research, a comprehensive approach was actively used, as well as descriptive methods, qualitative and quantitative ways of monitoring. We used questionnaires to get the necessary information, studied the essential literary sources, collected and analyzed data, and summarized the results. After summarizing the inf

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Matto, George. "Big Data Analytics Framework for Effective Higher Education Institutions." Tanzania Journal of Engineering and Technology 41, no. 1 (July 16, 2022): 10–18. http://dx.doi.org/10.52339/tjet.vi.768.

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There has been an increased dependency on Information and Communication Technologies (ICTs) in undertaking various activities in Higher Education Institutions (HEIs) ecosystems. Because of that, huge volumes of data have increasingly been generated. There have been, for instance, considerable amounts of data generated through electronic platforms involved in students’ admission and registration process, students’ academic records management, teaching and learning data, curriculum related data, and several other administrative data. Analysis of data generated from these platforms stands to give

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8

Handayani, Erna, Siswoyo Haryono, and Akhmad Darmawan. "Transformation of entrepreneur education programs (EEPS) of Indonesia’s higher education." International Journal of Research in Business and Social Science (2147- 4478) 10, no. 1 (February 11, 2021): 180–88. http://dx.doi.org/10.20525/ijrbs.v10i1.976.

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The Entrepreneurship Education Program (EEPs) of Indonesia’s higher education has not been effective. The study aims to identify the extent to which EEPs in Indonesia was developed and propose several alternative schemes. The research uses the methodology of traditional narrative literature review and interviews with young entrepreneurs as the output of the EEPs higher education program in Indonesia. The analysis technique is done with an interactive model with steps of data collection, data reduction, data presentation, verification, and conclusions. The literature study is intended for the l

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9

Zhang, Xining. "Big Data Model of Higher Education Online Teaching Based on Intelligent Algorithm." Mobile Information Systems 2022 (August 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/2492952.

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With the continuous development of society, the demand for processing large-scale data in many fields is increasing. Traditional processing training techniques have many limitations for big data analysis applications. Therefore, how to transform big data into general-purpose information becomes particularly important. This research mainly discusses the big data model analysis of higher education online teaching based on intelligent algorithms. The process of the experiment is to access how trainers interact or receive information stimulation in videos and courseware and how to cause relatively

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Said, Hanna Mohammad. "Data Mining and Knowledge Discovery in Big Data for Decision Making in Higher Education." Bioscience Biotechnology Research Communications 14, no. 4 (December 25, 2021): 2013–19. http://dx.doi.org/10.21786/bbrc/14.4.93.

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Artificial intelligence and data mining plays a fundamental role in improving the intelligence of education through special standards for improving teaching quality, better learning experience, predictive teaching, assessment method, effective decision-making, and improved data analysis. BD (Big Data) are also used to assess, detect, and anticipate decision-making, failure risk, and consequences to improve decision-making and maintain high-quality standards. According to the findings of this study, certain universities and governments have adopted BD to help students transition from traditiona

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Daraio, Cinzia, Renato Bruni, Giuseppe Catalano, Alessandro Daraio, Giorgio Matteucci, Monica Scannapieco, Daniel Wagner-Schuster, and Benedetto Lepori. "A Tailor-made Data Quality Approach for Higher Educational Data." Journal of Data and Information Science 5, no. 3 (July 9, 2020): 129–60. http://dx.doi.org/10.2478/jdis-2020-0029.

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AbstractPurposeThis paper relates the definition of data quality procedures for knowledge organizations such as Higher Education Institutions. The main purpose is to present the flexible approach developed for monitoring the data quality of the European Tertiary Education Register (ETER) database, illustrating its functioning and highlighting the main challenges that still have to be faced in this domain.Design/methodology/approachThe proposed data quality methodology is based on two kinds of checks, one to assess the consistency of cross-sectional data and the other to evaluate the stability

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Jurgena, Inese, and Dagnija Cēdere. "Students’ Ideas on Innovations in Higher Education." Journal of Pedagogy and Psychology "Signum Temporis" 8, no. 1 (December 1, 2016): 30–36. http://dx.doi.org/10.1515/sigtem-2016-0014.

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Abstract The academic staff plays a key role in the implementation of innovations, striving to introduce changes in the process of education and involving students in this process. The aim of this article is to analyse the ideas of students and pre-service teachers, on the role of innovations in the work of the academic staff at the institutions of higher education. The research is based on the analysis of scientific literature, regulatory documents, studies and surveys. The analytical data processing software SPSS was used for the analysis of the data. Having analysed the data of the survey i

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Pidbutska, Nina, and Anastasia Knysh. "ASSESSMENT OF RESEARCH SKILLS AND SKILLS OF MATHEMATICAL PROCESSING OF DATA OF STUDENTS OF I-III LEVELS OF HIGHER EDUCATION SPECIALTY “PSYCHOLOGY”." Theory and practice of social systems management, no. 3 (October 4, 2021): 106–15. http://dx.doi.org/10.20998/2078-7782.2021.3.09.

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The article is devoted to the topical problem of researching the level of development of research skills and abilities of mathematical data processing in future psychologists studying at different levels of higher education. The study involved three levels of higher education and five doctors ofpsychology as experts. Respondents (n = 75) were asked to perform a practical task aimed at demonstrating their ability to transform a simple practical question into a research model that would take into account all the necessary steps and methods of mathematical data processing. The analysis of the res

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Abe, Shota, Akio Ishida, Jun Murakami, and Naoki Yamamoto. "Development of Online Learning Materials for Tensor Data Processing Exercises." International Journal of Information and Education Technology 12, no. 3 (2022): 194–202. http://dx.doi.org/10.18178/ijiet.2022.12.3.1604.

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Tensor decomposition is used in a wide range of research fields; however, its theory is difficult to understand. Therefore, basic education is essential when using it in programming. Currently, there are few Japanese universities that provide education on tensor decomposition; however, some overseas universities have already conducted it, and online learning materials are also substantial. Therefore, in this paper, we have developed online learning materials for basics and programming exercises of higher-order singular value decomposition (HOSVD), which is one of tensor decomposition, for the

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Vincze, Szilvia, and Zoltán Bács. "International students in Hungarian higher education." Applied Studies in Agribusiness and Commerce 14, no. 3-4 (December 31, 2020): 113–32. http://dx.doi.org/10.19041/apstract/2020/2-3/13.

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Overall, higher education in Hungary is popular with students from abroad, even if there are significant differences in terms of its structure. The ever-faster increase in the annual headcount of the international student body serves as proof to this statement. The expansion of the size of the body of international students is of special importance in higher education since in 2016 the Hungarian government set the objective of having 40,000 international students by 2023 (EMMI, 2016). Numerous studies have been published on this topic, usually focusing on specific issues, including, for

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Aliyev, Ulukbek, and Nurlan Kurmanov. "HIGHER EDUCATION IN THE REPUBLIC OF KAZAKHSTAN: PROBLEMS AND IMPROVEMENT METHODS." CBU International Conference Proceedings 3 (September 19, 2015): 141–49. http://dx.doi.org/10.12955/cbup.v3.595.

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The paper investigated the current state of higher (business) education in the Republic of Kazakhstan. The research methodology is based on the processing of secondary data, which allows a preliminary analysis of the problems of the education system. The authors give an estimate of the current system of business education in Kazakhstan. The authors conclude that the education system of Kazakhstan is currently under development, competitiveness of the economy largely depends on the quality of education and further growth is impossible without well-educated and trained personnel.

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Gapon, Valentyna, and Olena Barabash. "MONITORING OF INDICATORS OF EQUIPMENT AND MATERIAL PROCUREMENT OF HIGHER EDUCATION INSTITUTIONS." Educational Analytics of Ukraine, no. 1 (2021): 39–54. http://dx.doi.org/10.32987/2617-8532-2021-1-39-54.

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The authors studied the legal documents on the collection and processing of sectoral reports on the logistics of higher education institutions (HEI). The purpose of the article is to conduct a comparative analysis of the state of logistics of the HEIs of the Ministry of Education and Science of Ukraine using specific statistical and financial indicators. The method of system and structural-hierarchical analysis is applied in the work, it was used to develop the information model of information collection and processing, the methodology and technology of information databases formation; a stati

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Tarigan, Thomas Edison, Robby C. Buwono, and Sri Redjeki. "Extraction Opinion of Social Media in Higher Education Using Sentiment Analysis." bit-Tech 2, no. 1 (October 30, 2019): 11–19. http://dx.doi.org/10.32877/bt.v2i1.92.

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The purpose of this research is to extract social media Twitter opinion on a tertiary institution using sentiment analysis. The results of sentiment analysis will provide input to universities as a form of evaluation of management performance in managing institutions. Sentiment analysis generated using the Naïve Bayes Classifier method which is classified into 4 classes: positive, normal, negative and unknown. This study uses 1000 data tweets used for training data needs. The data is classified manually to determine the sentiment of the tweet. Then 20 tweet data is used for testing. The

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Lorenzo de Reizábal, Margarita, and Manuel Benito Gómez. "Learning Analytics and Higher Music Education: Perspectives and Challenges." ARTSEDUCA, no. 34 (December 7, 2022): 219–28. http://dx.doi.org/10.6035/artseduca.6831.

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Continually monitoring student learning, improving tutoring, predicting academic risks such as performance drops or dropouts, assessing more objectively or understanding the behavior of student groups are some of the tasks that have been beyond the reach of music teachers. The current technology of massive data processing (Big Data) and its analysis (Learning Analytics-LA) allows to achieve these goals with relative ease. The possibility of extracting individual behavior patterns facilitates attention to diversity, reduces school dropout and failure, and opens the possibility of implementing n

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Xu, Baoliang. "Application of Edge Computing and Data Mining Processing System in Preschool Education Courses." Mobile Information Systems 2022 (September 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/7872897.

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With the deepening of reform and opening up, my country’s preschool education has entered a vigorous development. At the same time, higher requirements are put forward for the field of preschool education. Preschool education is an important part of education, and preschool education is the foundation of basic education. However, the informatization construction in the field of preschool education in my country has just started. In order to implement the planning requirements of the Ministry of Education on strengthening the informatization construction of preschool education, build a digital

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Crompton, Helen, and Donggil Song. "The Potential of Artificial Intelligence in Higher Education." Revista Virtual Universidad Católica del Norte, no. 62 (January 2021): 1–4. http://dx.doi.org/10.35575/rvucn.n62a1.

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Artificial Intelligence (AI) is seeping into many aspects of our everyday lives, with common internet applications, smartphones and even household appliances. Within education, AI is a rapidly emerging field and there is a strong potential for AI to greatly extend and enhance teaching and learning in higher education (Crompton et al., 2020). AI is defined as “computing systems that are able to engage in human-like processes such as learning, adapting, synthesizing, self-correction and use of data for complex processing tasks” (Popenici & Kerr, 2017). In the Horizon Report 2020 report (Brow

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Gunawan, I. Ketut, Ninda Lutfiani, Qurotul Aini, Fitria Marwati Suryaman, and Abas Sunarya. "Smart Contract Innovation and Blockchain-Based Tokenization in Higher Education." Journal of Education Technology 5, no. 4 (November 26, 2021): 636. http://dx.doi.org/10.23887/jet.v5i4.40665.

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Blockchain which includes smart contract and tokenization features is the latest technology in the world, especially Indonesia. Smart contracts and tokenization make it very easy for users and can maintain valid data security, but there are still many universities that have not implemented the system so they have to involve many parties and costs. The problem taken in this study is the payment process for transactions such as credit and data processing that is vulnerable to illegal data leakage. This study aims to develop a smart contract system and blockchain tokenization in universities in t

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Galyna, PIATNYTSKA. "HIGHER EDUCATION BRANDING." Herald of Kyiv National University of Trade and Economics 138, no. 4 (September 10, 2021): 118–36. http://dx.doi.org/10.31617/visnik.knute.2021(138)10.

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Background. The increasing intensity of competition in the international market for higher education services leads to an increase in the importance of brands of higher education institutions (HEIs) and the branding of national higher education in general. The aim of this study is to determine the target setting and the main objectives of the country’s higher education branding in the international market of educational services. Materials and methods. Methods of comparative and critical analysis, analytical processing of the collected data, graphical display of trends and interrelations, synt

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Irwan, Irwan, Rusnardi Rahmat Putra, Krismadinata Krismadinata, and Nizwardi Jalinus. "Introduction to questionnaire data patterns using Perceptron Algorithm for lecturer improvement and development in higher education." INVOTEK: Jurnal Inovasi Vokasional dan Teknologi 21, no. 1 (February 2, 2021): 1–10. http://dx.doi.org/10.24036/invotek.v21i1.743.

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This artificial neural network research article aimed to overview the current teaching process focusing on lecturer performance using the perceptron algorithm, improving the teaching process, developing the lecturer based on the perceptron algorithm's results, evaluating the speed and accuracy of the perceptron algorithm in evaluating performance lecturer and learning the rules of the perceptron algorithm in processing assessment criteria for lecturers in tertiary institutions. In this case, the perceptron algorithm was used to recognize the questionnaire data input patterns. The perceptron al

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Arma Putra, Feby, and Bambang Dwi Suseno. "Industrial Revolution 4.0 as a Strategic Issue of Higher Education." International Journal of Scientific Research and Management 10, no. 02 (February 16, 2022): 3045–51. http://dx.doi.org/10.18535/ijsrm/v10i2.em05.

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This study aims to explore strategic issues of the industrial revolution 4.0 in the higher education environment, accompanied by an in-depth analysis with the perspective of change management and how they adapt. The method used is SWOT analysis by scanning the environment through non-probability sampling using snowball data collection with the help of Google forms so that stakeholders can respond through a multimedia platform. The results of data processing in the form of index numbers by contrasting strengths and weaknesses as well as opportunities and threats. The final result is the ordinat

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Utari, Nadia, and Riki Mukhaiyar. "ALTERNATIVE CONCEPTS TO IDENTIFY THE CHARACTERISTICS OF VOCATIONAL TECHNOLOGY EDUCATION CURRICULUM." JURNAL PENDIDIKAN TEKNOLOGI KEJURUAN 3, no. 1 (February 24, 2020): 60–63. http://dx.doi.org/10.24036/jptk.v3i1.4323.

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Higher education is expected to produce excellent graduates to meet the needs of educated and skilled personnel in the era of industry 4.0. One way of higher education to adjust the development of Science and Technology in the era of industry 4.0 is by enriching the curriculum. Curriculum enrichment can be done by adding a new course, the Image Processing course. Image Processing is a course in Electrical Engineering which discusses data processing and analyze data in the form of images to be used as important information as requested. Image processing courses are widely used in daily life, im

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Sharma, Hari Maya. "Gender in Nepalese Higher Education Curriculum: An Example from Tribhuvan University." Educator Journal 10, no. 1 (July 27, 2022): 93–104. http://dx.doi.org/10.3126/tej.v10i1.46732.

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This paper analyses the course entitled 'English Language Teaching (ELT) practices and materials' offered by Tribhuvan University for Master's level in English education from a gender perspective. The main objective of the paper is to explore and analyse gender inequalities underlying in the processing and production of the course. Taking the course documents as the primary source of data, this paper found that the course falls short in gender mainstreaming and has revealed gender-blindness in content selection and recommended/reference materials encouraging gender inequality during the course

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Agustiani, Riza, Hartatiana Hartatiana, and Ambarsari Kusuma Wardani. "Mathematics students’ writing skills: Assesment in higher education with Rasch model." International Journal on Teaching and Learning Mathematics 1, no. 2 (December 22, 2018): 90–102. http://dx.doi.org/10.18860/ijtlm.v1i2.6749.

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The aim of this research is to describe the students’ scientific writing skills of mathematics education. This research is descriptive qualitative research. Research subject is choosen by using purposive sampling technique. Research subject is choosen based on variety of batch, grade point average (GPA) dan Thesis Processing Duration (TPD). Data collection techniques in this research are document studies (documentation methods) and interviews. The document study was carried out by 2 researchers (chairman and researcher members) and 2 other lecturers of Mathematics Education Study Program to ob

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Anastasia, Lenshy Aprisilia, Benny Pinontoan, and Luther Alexander Latumakulita. "Design Web-Based Information System of Tri Dharma Higher Education for Lecturer." Operations Research: International Conference Series 3, no. 1 (February 6, 2022): 23–31. http://dx.doi.org/10.47194/orics.v3i1.130.

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Tri dharma of higher education consisting of education & teaching, research, and community service which must upheld by every lecturer at universities in Indonesia. Lecturer who has implemented the tri dharma of higher education need these tri dharma files for promotion and lecturer performance report to get allowance. It is important to have an online system to store those files. In this research we develop a web-based information system for processing lecturer tri dharma activities data using Rapid Application Development (RAD) Method which started from requirement planning, system desig

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Harjadi, Dikdik, and Dewi Fatmasari. "Implementation of Integrated Marketing Communication in Image of Private Higher Education." TRIKONOMIKA 16, no. 2 (December 28, 2017): 63. http://dx.doi.org/10.23969/trikonomika.v16i2.638.

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This study aimed to examine the implementation of integrated marketing communication conducted by private universities in Kuningan Regency and analyze the influence of integrated marketing communication performance which includes advertising, sales promotion, personal selling, public relation, and direct marketing on private university image. The method used was descriptive and verificative method conducted by collecting primary data in the field from private university students in Kuningan Regency. Based on the results of data processing and hypothesis testing, it was known that integrated ma

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Mohamed Nafuri, Ahmad Fikri, Nor Samsiah Sani, Nur Fatin Aqilah Zainudin, Abdul Hadi Abd Rahman, and Mohd Aliff. "Clustering Analysis for Classifying Student Academic Performance in Higher Education." Applied Sciences 12, no. 19 (September 21, 2022): 9467. http://dx.doi.org/10.3390/app12199467.

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There are three income categories for Malaysians: the top 20% (T20), the middle 40% (M40), and the bottom 40% (B40). The government has extended B40′s access to higher education to eliminate socioeconomic disparities and improve their lives. The number of students enrolled in bachelor’s degree programmes at universities has risen annually. However, not all students who enrolled graduated. Machine learning approaches have been widely used and improved in education. However, research studies related to unsupervised learning in education are generally lacking. Therefore, this study proposes a clu

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Aris, Aris, Tiya Puspita Firdaus, and Neha Nurseha. "APLIKASI PROGRAM QUALITY CONTROL BARANG UNTUK MENUNJANG PELAPORAN PADA BAGIAN TEKNIK PERGURUAN TINGGI RAHARJA." Journal CERITA 4, no. 2 (August 1, 2018): 159–68. http://dx.doi.org/10.33050/cerita.v4i2.639.

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Data processing system of Higher Education Raharja needs the best and integrated to facilitate decision making and create good service standard. Especially if the data is related to Control and Quality. Data and information easily accessible to support the performance of each section. As in theEngineering section, In data processing Engineering section still can not provide the best service to meet the strategic information needs required to support reporting on the management of Higher Education Raharja. It takes a long time to generate information data items as required, this happens because

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Nasir, Muhammad, Syeh Hawib Hamzah, and Muhammad Khairul Rijal. "ANATOMICAL ANALYSIS OF ISLAMIC RELIGIOUS EDUCATION CURRICULUM AT GENERAL HIGHER EDUCATION IN INDONESIA." Ta'dib 24, no. 1 (June 28, 2021): 53. http://dx.doi.org/10.31958/jt.v24i1.2827.

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This article explores the anatomical characteristics of the Islamic Education Curriculum based on personal and community development in General Higher Education in Indonesia. This research is a qualitative study, words or actions of people observed and interviewed are the main data sources. The primary data sources of this study were elements of faculty leaders, heads of study programs, students, and lecturers of Islamic Religious Education. This study illustrates how the anatomical characteristics of Islamic Higher Education of General Islamic Education curriculum support strengthening person

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Fu, Xinyi. "Design of a Higher Education Question and Answer System Based on Multimodal Adversarial Networks." Mathematical Problems in Engineering 2022 (September 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/7453653.

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Higher education question and answer system is a current research hotspot in the field of natural language processing and artificial intelligence, which can return accurate answers directly and also allow users to input in natural language, avoiding the need to return large collections of valid and invalid data links for users to filter twice. In recent years, deep learning techniques have made great progress in the field of natural language processing, thus making it possible to apply it in the field of teaching and learning in junior high school. Most of the traditional quiz systems based on

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Yamamoto, Naoki, Akio Ishida, Kazuki Ogitsuka, Nobuhiro Oishi, and Jun Murakami. "Development of Online Learning Material for Data Science Programming Using 3D Puzzle." International Journal of Information and Education Technology 11, no. 4 (2021): 154–63. http://dx.doi.org/10.18178/ijiet.2021.11.4.1505.

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In multidimensional data processing, one of the important data structures is a higher-order tensor or a multidimensional array. In general, the processing related to the higher-order tensor is so complicated that we have been developing understanding support tools for it using 3D puzzles from the viewpoint of making students interested. However, although these tools have been tried by students in graduation studies and other some occasions, their introduction into lectures was one issue. Therefore, in this study, we developed a new programming exercise material for the higher-order tensor, whi

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Parnikova, Galina, and Svetlana Antsupova. "Individual Educational Trajectories in Higher Education Institution - Global Challenges for Regions." E3S Web of Conferences 291 (2021): 05017. http://dx.doi.org/10.1051/e3sconf/202129105017.

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The need to introduce individualization of education in the universities of Yakutia is dictated by the need to find optimum solutions for preserving human capital in the northern territories, attracting applicants to regional universities and the labor market’s need for competitive specialists from the local population. The purpose of the study is to develop innovative approaches to the educational process in regional universities in the context of global challenges. Research methods: analysis and processing of data from an array of theoretical sources and educational practice; modeling. Scien

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Alsuwaiket, M., A. H. Blasi, and R. A. Al-Msie'deen. "Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education." Engineering, Technology & Applied Science Research 9, no. 3 (June 8, 2019): 4287–91. http://dx.doi.org/10.48084/etasr.2794.

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The choice of an effective student assessment method is an issue of interest in Higher Education. Various studies [1] have shown that students tend to get higher marks when assessed through coursework-based assessment methods which include either modules that are fully assessed through coursework or a mixture of coursework and examinations than assessed by examination alone. There are a large number of educational data mining (EDM) studies that pre-process data through conventional data mining processes including data preparation process, but they are using transcript data as they stand withou

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Murialti, Neng, Dwi Widiarsih, Ranti Darwin, Muhammad Hidayat, M. Fikry Hadi, and Mizan Asnawi. "UPAYA MENINGKATKAN KOMPETENSI GURU DALAM TEKNIK PENGOLAHAN DATA PENELITIAN." Jurnal Pengabdian UntukMu NegeRI 3, no. 1 (May 30, 2019): 33–39. http://dx.doi.org/10.37859/jpumri.v3i1.1106.

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Higher Education other than as an educational institution that has the main task of carrying out the process of education and teaching, also has other tasks namely carrying out research and community service. Quality improvement of human resources of a nation means encouraging the improvement of the quality of the nation itself so that it has the ability to compete with countries in the world. The education world is one of the spearheads in the effort to improve the quality of human resources. So improving the quality of human resources must be supported by improving the quality of educators (

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Bahar, Abdulkadir, and Mehmet Ali Ozturk. "An Exploratory Study on the Relationship between Creativity and Processing Speed for Gifted Children." International Education Studies 11, no. 3 (February 25, 2018): 77. http://dx.doi.org/10.5539/ies.v11n3p77.

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This study explored the relationship between processing speed and five dimensions of creativity, which were fluency, originality, elaboration, abstractness of titles, and resistance to premature closure (RPC). It is the first empirical study that examines this relationship, also relating it to gender and level of giftedness. Data came from 133 gifted students at grades one through four in three private schools in Istanbul, Turkey. Creativity was measured through the Torrance Test of Creative Thinking – Figural. Scores from the Coding subtest of the Wechsler Intelligence Scale for Children were

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Pidbutska, Nina, Anastasiia Knysh, Yulia Chebakova, Iryna Shtuchenko, and Olena Babchuk. "Motivation Behind the Preference of Distance Education of Higher Education Students." Journal of Education Culture and Society 13, no. 1 (June 30, 2022): 201–10. http://dx.doi.org/10.15503/jecs2022.1.201.210.

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Aim. The aim of the study is to investigate into the motives of learning that are inherent in students with different attitudes to distance learning. The main objectives of the study are as follows: to analyze the attitude to different forms of distance learning of students of higher education institutions; to investigate the main forms of scientific motivation of students of higher education institutions; to compare how the scientific motivation of students with different attitudes to distance learning differs. Methods. The study involved 211 students majoring in science (physics, chemi

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Lu, Liping, and Jing Zhou. "Research on Mining of Applied Mathematics Educational Resources Based on Edge Computing and Data Stream Classification." Mobile Information Systems 2021 (March 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/5542718.

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Facing the massive data of higher education institutions, data mining technology is an intelligent information processing technology that can effectively discover knowledge from the massive data and can discover important information that people have previously ignored from the huge data information. This article is dedicated to the development of applied mathematics education resource mining technology based on edge computing and data stream classification. First of all, this article establishes a resource system architecture suitable for existing applied mathematics education through edge co

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Sun, Xiaokang, Xiangshu Huang, Hui Yu, and Xirui Liu. "Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education." Journal of Electrical and Computer Engineering 2022 (June 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/4348613.

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As a public basic course in the system of higher vocational colleges, mathematics has received more and more attention from education administrators. However, there are still problems in higher education that mathematics teaching resources are scatter and data are difficult to integrate. Big data (DT) and smart clouds are the burgeon of intelligent technology, which has provided support for teaching informatization and teaching data integration in colleges and universities. This article aims to solve the problems of mathematics teaching in higher vocational education, such as more content and

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Grammenou, Kassiani, Karagiorgos Ioannis, Nikolaos Blanas, Heidy Tzika, Kleio Tzoumerkioti, and Alexandra-Antonia Sideridou. "Marketing in Higher Education: Postgraduate Programs in Technological Educational Institute of Thessaly." Academic Journal of Interdisciplinary Studies 6, no. 3 (November 27, 2017): 65–72. http://dx.doi.org/10.1515/ajis-2017-0022.

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Abstract The Departments of Higher Education that have incorporated postgraduate courses in their curriculum must acquire provision and adaptability mechanisms so that the courses can correspond to the current and future needs of their students. Important factors, such as many disadvantages that the extremely competitive postgraduate courses abroad face, compared to the postgraduate courses in Greece, lead the potential students to choose the Greek ones. This research paper aims to find the right methodology for the postgraduate courses to attract more students. Specifically the research will

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Miguel-Eguía, Valentin, Juana Coello, Alberto Martínez, M. Carmen Manjabacas, and Antonio Calatayud. "Learning Strategies for Deep-Drawing Processes in the European Higher Education Area Context." Materials Science Forum 692 (July 2011): 74–82. http://dx.doi.org/10.4028/www.scientific.net/msf.692.74.

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A traditional educational strategy for teaching sheet stamping processes consists in theoretical planning. Having experimental media available to conduct stamping processes in university teaching laboratories is not that usual. In this work Problem Based Learning is carried out. Students must evaluate some data from deep-drawing experiences that have been previously done by the teaching team. The innovation proposal starts with deep-drawing experimental demonstrations performed by an experimental device that has been designed in the laboratory for researching and teaching aims. Processing the

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Basri, Muhammad, and Muhammad Azwar Paramma. "EFL Students’ Perspective on the Usefulness of ICT based Learning in Indonesian Higher Education." ELT Worldwide: Journal of English Language Teaching 6, no. 2 (October 31, 2019): 105. http://dx.doi.org/10.26858/eltww.v6i2.10515.

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The study explores the perception of the EFL students in English Language Teaching through ICT based learning at Universitas Negeri Makassar. It employs a descriptive study using purposive sampling techniques by taking 57 respondents from university students. The online questionnaire used to collect data on the perception of students on the ICT based Learning of English Language Teaching. The method of descriptive in terms of percentage has been used for data processing, and the deduction method has been used to analyze and interpret data. The result of this study indicates the positive percep

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Ahrens, Andreas, Jelena Zascerinska, Parulkumari P. Bhati, Mihails Zascerinskis, and Anastasija Aleksejeva. "COMPARATIVE STUDIES OF COVID-19 IMPACT ON STUDENTS’ VIEWS ON DIGITAL HIGHER EDUCATION." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 28, 2021): 19–29. http://dx.doi.org/10.17770/sie2021vol5.6277.

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Higher education sector has been significantly adapting to the new situation created by the COVID-19 pandemic. Despite students are often referred to, students are rarely at the centre of the concerns being raised. The research aim is to compare students’ views on digital higher education in light of COVID-19 underpinning the identification of issues in digital higher education in light of COVID-19. The research implies theoretical and empirical methods. The exploratory empirical study was carried out. Semi-structured interviews serves as the data collection method. Content analysis was applie

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Saputri, Agatha, and Endang Mulyani. "The Impact of Academic Information System to Students’ Satisfaction in Higher Education." Studies in Educational Management 12 (September 2022): 1–9. http://dx.doi.org/10.32038/sem.2022.12.01.

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Academic information systems reflect the quality of management of a college and are one of the efforts of educational institutions to provide quality services to provide convenience and comfort to students. There are obstacles such as the difficulty of controlling the scheduling of courses and information that is less updated on academic information systems. This study aims to determine how much influence the academic information system has on student satisfaction. This study uses a type of research based on a quantitative approach. The research subjects were bachelor and graduate school stude

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Sutanto, Sutanto, Yul Hendra, and Miftahul Jannah. "SISTEM INFORMASI PENGOLAHAN DATA KULIAH KERJA MAHASISWA DI LP3M UNIVERSITAS BANTEN JAYA BERBASIS WEB." Journal of Innovation And Future Technology (IFTECH) 3, no. 1 (February 4, 2021): 19–30. http://dx.doi.org/10.47080/iftech.v3i1.1144.

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Student Work Lecture (KKM) is one of the programs in higher education at Banten Jaya University (UNBAJA). Thematic KKM activities, is one form of integrating education, research, and community service activities. The current KKM data processing system is that students come directly to the relevant work units to register and report, Field Supervisors are also parties associated with KKM participants when collecting KKM assessments and their journals must come directly to the relevant work units. The purpose of this research is to design a system for KKM data processing in order to facilitate st

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Lin, Wenjun, Haiyu Song, Gonçalo Almeida, and António Godinho. "Latent trait analysis for teacher career development and capacity improvement in higher education institutions." CADMO, no. 2 (January 2022): 46–62. http://dx.doi.org/10.3280/cad2021-002005.

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This study shows the influence of human resource management practices on the academic and non-academic staff and its impact on the higher education institution's goals. A questionnaire based on the Cranet survey was used to gather data from 240 employees (academic and non-academic staff) from a public higher education institution. A phi-k correlation algorithm was used to verify the underlying correlation coefficients, statistical significance, and outliers within multiple data types. This algorithm allows a more personalized, understandable approach to reveal the human resource management pra

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Saal, Leah Katherine, Takashi Yamashita, Donita M. Shaw, and Kristen H. Perry. "An exploration of U.S. adults’ information processing skills and political efficacy." Journal of Adult and Continuing Education 26, no. 2 (June 4, 2019): 178–202. http://dx.doi.org/10.1177/1477971419852750.

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As recent debates about the role of social media in election outcomes suggest, understanding the association between information processing skills and political efficacy in the U.S. is a significant inquiry for adult and continuing education. Data from the Programme for the International Assessment of Adult Competencies were used to explore relationships between U.S. participants’ information processing skills and political efficacy. Given the impact of certain demographic characteristics on political efficacy, the study also analyzed whether the relationship between information processing ski

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