Relevant bibliographies by topics / Data science applications in education

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data science applications in education'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Data science applications in education"

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DE VEAUX, RICHARD, ROGER HOERL, RON SNEE, and PAUL VELLEMAN. "TOWARD HOLISTIC DATA SCIENCE EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 21, no. 2 (2022): 2. http://dx.doi.org/10.52041/serj.v21i2.40.

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Holistic data science education places data science in the context of real world applications, emphasizing the purpose for which data were collected, the pedigree of the data, the meaning inherent in the daa, the deploying of sustainable solutions, and the communication of key findings for addressing the original problem. As such it spends less emphasis on coding, computing, and high-end black-box algorithms. We argue that data science education must move toward a holistic curriculum, and we provide examples and reasons for this emphasis.
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. "Data science: opportunities to transform education." CTE Workshop Proceedings 6 (March 21, 2019): 48–73. http://dx.doi.org/10.55056/cte.368.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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Hursen, Cigdem, and Cizem Bas. "Use of Gamification Applications in Science Education." International Journal of Emerging Technologies in Learning (iJET) 14, no. 01 (2019): 4. http://dx.doi.org/10.3991/ijet.v14i01.8894.

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In this research, the impact of gamification applications in science education on the science learning motivation of students has been determined and the opinions of students and parents on applications have been discussed. A total of 16 students and their parents partic-ipated in the study. The research was conducted on 4th grade primary students and em-ployed a mixed method consisting of both qualitative and quantitative elements. The moti-vation of students for learning science was obtained through quantitative data, whereas the opinions of students and parents on the usage of gamification
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Keßler, Carsten, Mathieu d'Aquin, and Stefan Dietze. "Linked Data for science and education." Semantic Web 4, no. 1 (2013): 1–2. http://dx.doi.org/10.3233/sw-120091.

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ilhan, Nail. "Education and artificial intelligence." International Journal of Education and Artificial Intelligence 1, no. 1 (2024): 1–3. https://doi.org/10.5281/zenodo.14867972.

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Abstract Research in the field of education has an important place in science and society. In recent years, there has been a significant increase in the number of researches in the field of educational sciences and artificial intelligence, and many journals publish special issues in this field. The reflections of artificial intelligence, from preschool to graduate education, are revealed by many studies.  Academic journals on artificial intelligence and education contribute to this field. The aim of the "International Journal of Educational and Artificial Intelligence" (IJEDAI), the first
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Virkus, Sirje, and Emmanouel Garoufallou. "Data science and its relationship to library and information science: a content analysis." Data Technologies and Applications 54, no. 5 (2020): 643–63. http://dx.doi.org/10.1108/dta-07-2020-0167.

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PurposeThe purpose of this paper is to present the results of a study exploring the emerging field of data science from the library and information science (LIS) perspective.Design/methodology/approachContent analysis of research publications on data science was made of papers published in the Web of Science database to identify the main themes discussed in the publications from the LIS perspective.FindingsA content analysis of 80 publications is presented. The articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the
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Alonso-Fernández, Cristina, Antonio Calvo-Morata, Manuel Freire, Iván Martínez-Ortiz, and Baltasar Fernández-Manjón. "Applications of data science to game learning analytics data: A systematic literature review." Computers & Education 141 (November 2019): 103612. http://dx.doi.org/10.1016/j.compedu.2019.103612.

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Rogers, L., and P. Wild. "Data-logging: effects on practical science." Journal of Computer Assisted Learning 12, no. 3 (1996): 130–45. http://dx.doi.org/10.1111/j.1365-2729.1996.tb00046.x.

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Fodouop Kouam, Arthur William. "My Data Are Ready, How Do I Analyze Them: Navigating Data Analysis in Social Science Research." International Journal of Scientific Research and Management (IJSRM) 12, no. 03 (2024): 1730–41. http://dx.doi.org/10.18535/ijsrm/v12i03.sh03.

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This paper offers a practical guide for researchers to effectively analyze their data in social science research, addressing the challenges and pitfalls commonly encountered in data analysis. By exploring various data analysis techniques, highlighting key challenges such as data quality issues and statistical assumptions violations, and providing practical tips and guidelines, this study fills a gap in the existing literature by offering a comprehensive approach to navigating data analysis in social science research. The significance of this study lies in its potential to improve the quality a
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İlik, Ş. Şenay, and Esme Hacieminoglu. "Evaluation of Elementary Science Teachers’ Perceptions Regarding Inclusive Education Applications." Journal of Education and Training Studies 7, no. 10 (2019): 19. http://dx.doi.org/10.11114/jets.v7i10.4396.

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The purpose of this study is to investigate the problems and suggestions of the elementary science teachers having students with special needs in the inclusive education applications. The present study is a descriptive study which determines the opinions of elementary science teachers regarding inclusive education. Thirty seven in-service science teachers who have been working in schools where inclusive education is applied in different cities of Turkey participated in the study. Data were collected throughstructured interview form. Thirty-seven interview forms were completed with thirty-seven
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Dissertations / Theses on the topic "Data science applications in education"

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Songar, Poonam. "Learning Assessment Data Collection from Educational Game Applications." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353900797.

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Cherian, Mathew Sam. "A semantic data federation engine : design, implementation & applications in educational information management." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65501.

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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 87-90).<br>With the advent of the World Wide Web, the amount of digital information in the world has increased exponentially. The ability to organize this deluge of data, retrieve it, and combine it with other data would bring numerous benefits to organizations th
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Zhu, Qing. "From a Developer's Perspective to a User-Centered Perspective: Developing Usable Mobile Educational Applications." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1406738627.

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Johansson, Emma. "Applying Gamification to a Mobile Application to Motivate Children to Learn Math." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301618.

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Understanding math is an important part of school, yet it is a common source of anxiety as many children find the subject difficult to grasp. One approach to encourage children to learn math is to implement game elements (gamification) in technology-enhanced learning (TEL) systems. However, designers must consider what motivates children to use such systems to better encourage them to learn. Therefore, the aim of this paper was to investigate how gamification can be implemented in the design of a mobile TEL application, in this case the Albert application, to motivate children to learn math. T
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Hultqvist, Andreas, and Tobias Hultqvist. "Developing an Analysing a Web Application made for Teachers to Evaluate Students' Performance : Utveckling och analys av en webbapplikation för examinatorers analys av elevers lärande." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176985.

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The need to learn programming increases as more jobs require basic programming skills and computer knowledge. Compulsory school is adding programming to the curriculum, which leads to challenges due to both teachers and students are new to this subject. Even at the university level some students get in touch with programming for the first time in their lives.  This thesis aim to develop a web application that can be used by teachers as a reliable and informative tool when evaluating the learning process of its students, by combining data collected through user interactions while solving progra
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Lu, Haihao Ph D. Massachusetts Institute of Technology. "Large-scale optimization Methods for data-science applications." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122272.

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Thesis: Ph. D. in Mathematics and Operations Research, Massachusetts Institute of Technology, Department of Mathematics, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 203-211).<br>In this thesis, we present several contributions of large scale optimization methods with the applications in data science and machine learning. In the first part, we present new computational methods and associated computational guarantees for solving convex optimization problems using first-order methods. We consider general convex optimization problem, where we presume
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Presbrey, Joe (Joseph Warren). "Linked data platform for web applications." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91861.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 47-50).<br>Most of today's web applications are tightly coupled to proprietary server backends that store and control all user data. This thesis presents Linked Data as a decentralized web app platform, eliminating vendor lock-in, and separating user data from web apps giving users control over their data and where it's stored, independent of choice of application. Linked Data architecture
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Ma, Yu. "A composable data management architecture for scientific applications." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3243773.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2006.<br>Title from PDF t.p. (viewed Nov. 18, 2008). Source: Dissertation Abstracts International, Volume: 67-12, Section: B, page: 7170. Adviser: Randall Bramley.
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Chi, Wen-Hsiang. "Computer applications in counselor education /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487259125219338.

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Lloyd, Alyson S. "The applications of loyalty card data for social science." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10060364/.

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Large-scale consumer datasets have become increasingly abundant in recent years and many have turned their attention to harnessing these for insights within the social sciences. Whilst commercial organisations have been quick to recognise the benefits of these data as a source of competitive advantage, their emergence has been met with contention in research due to the epistemological, methodological and ethical challenges they present. These issues have seldom been addressed, primarily due to these data being hard to obtain outside of the commercial settings in which they are often generated.
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Books on the topic "Data science applications in education"

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0.

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1946-, Miller Marvin J., ed. Computer applications in mental health: Education and evaluation. Haworth Press, 1992.

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Karris, Steven T. Circuit Analysis I with MATLAB Applications. Orchard Publications, 2006.

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Zanakis, S. H. Decision Making: Recent Developments and Worldwide Applications. Springer US, 2000.

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N, Freed Melvyn, and Hess Robert K, eds. Handbook of statistical procedures and their computer applications to education and the behavioral sciences. American Council on Education, Macmillan, 1991.

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Zhou, Mark. Advances in Computer Science and Education Applications: International Conference, CSE 2011, Qingdao, China, July 9-10, 2011. Proceedings, Part II. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Xiong, Huang, and SpringerLink (Online service), eds. Advances in Computer Science, Environment, Ecoinformatics, and Education: International Conference, CSEE 2011, Wuhan, China, August 21-22, 2011. Proceedings, Part IV. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Xiong, Huang, and SpringerLink (Online service), eds. Advances in Computer Science, Environment, Ecoinformatics, and Education: International Conference, CSEE 2011, Wuhan, China, August 21-22, 2011. Proceedings, Part II. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Xiong, Huang, and SpringerLink (Online service), eds. Advances in Computer Science, Environment, Ecoinformatics, and Education: International Conference, CSEE 2011, Wuhan, China, August 21-22, 2011. Proceedings, Part I. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Xiong, Huang, and SpringerLink (Online service), eds. Advances in Computer Science, Environment, Ecoinformatics, and Education: International Conference, CSEE 2011, Wuhan, China, August 21-22, 2011. Proceedings, Part V. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Book chapters on the topic "Data science applications in education"

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Datta, Meera S., and Vijay V. Mandke. "Data Science in Education." In Data Science and Its Applications. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003102380-7.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "Introduction to Mechanistic Data Science." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_1.

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Thanassoulis, Emmanuel, Kristof De Witte, Jill Johnes, Geraint Johnes, Giannis Karagiannis, and Conceição S. Portela. "Applications of Data Envelopment Analysis in Education." In International Series in Operations Research & Management Science. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4899-7684-0_12.

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Gobinath, V. M., D. Nagarajan, Said Broumi, and Shaima Abdullah Amer Al Shanfari. "Applications of Neutroscopic Sets in Science, the Humanities, and Education." In Data-Driven Modelling with Fuzzy Sets. CRC Press, 2024. http://dx.doi.org/10.1201/9781003487104-1.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "Multimodal Data Generation and Collection." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_2.

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Kanti Podder, Suplab, Benny Thomas, and Debabrata Samanta. "Impact of Innovative Technology on Quality Education: The Resourceful Intelligence for Smart Society Development." In Machine Intelligence and Data Science Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2347-0_22.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "Knowledge-Driven Dimension Reduction and Reduced Order Surrogate Models." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_5.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "Optimization and Regression." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_3.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "Extraction of Mechanistic Features." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_4.

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Liu, Wing Kam, Zhengtao Gan, and Mark Fleming. "System and Design." In Mechanistic Data Science for STEM Education and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87832-0_7.

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Conference papers on the topic "Data science applications in education"

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Vu, Thi. "Towards a KD4LA Framework to Support Learning Analytics in Higher Education." In 14th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013571000003967.

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Halaweh, Mohanad, and Ghaleb El Refae. "Examining the Accuracy of AI Detection Software Tools in Education." In 2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA). IEEE, 2024. http://dx.doi.org/10.1109/idsta62194.2024.10747004.

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Geng, Yue. "Classification of Aesthetic Education Groups Based on Bayesian Optimization." In 2024 IEEE 4th International Conference on Data Science and Computer Application (ICDSCA). IEEE, 2024. https://doi.org/10.1109/icdsca63855.2024.10859378.

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Chen, Yuxiu, and Zhenhua Wen. "Computer Software Application in Blockchain and Big Data Technology." In 2024 5th International Conference on Information Science and Education (ICISE-IE). IEEE, 2024. https://doi.org/10.1109/icise-ie64355.2024.11025479.

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Felicia, Anna, W. K. Wong, W. N. Loh, and Filbert H. Juwono. "Data Science in Education: Applications and Challenges." In 2021 International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2021. http://dx.doi.org/10.1109/icdabi53623.2021.9655969.

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Konkolova, V., and J. Paralic. "Active Learning in Data Science Education." In 2018 16th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2018. http://dx.doi.org/10.1109/iceta.2018.8572219.

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Yashodhar Rangaraj, Anshuman, Theodore P Langdon, and Hazem Said. "Systematic Literature Review of the Development of Data Science Applications in Healthcare." In InSITE 2025: Informing Science + IT Education Conferences: Hiroshima. Informing Science Institute, 2025. https://doi.org/10.28945/5512.

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Aim/Purpose This study aims to identify the influential factors in the application of Applied Data Science in healthcare. Background The research examines the historical adoption and use of Applied Data Science in the healthcare industry, addressing the specific question: What are the factors that influence the use of Applied Data Science in healthcare throughout the history of information technology? Methodology The study was conducted using a systematic literature review methodology following Kitchenham and Charters’ (2007) protocol, which includes planning, conducting, and reporting the rev
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Mbonye, Vicent, and Raeesa Ebrahim. "Integrating Augmented Reality in Science Education in South Africa: Applications in the Mancosa iTEACHlab." In 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE, 2022. http://dx.doi.org/10.1109/icabcd54961.2022.9856083.

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J. Grahn, Kaj, Christian Dickert, Frank Schneider, and Göran Pulkkis. "Measurement Data Logging via Bluetooth." In InSITE 2005: Informing Science + IT Education Conference. Informing Science Institute, 2005. http://dx.doi.org/10.28945/2921.

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The implementation of measurement data logging with data communication based on Bluetooth technology is described. The design, implementation and testing of two applications are presented. The first application is an alarm system to monitor alarm sensors and warning systems on a mobile device. The second application is a temperature and voltage measurement system, which transfers temperature and voltage values. Both applications are built up around a Bluetooth developer kit. A Bluetooth enabled mobile notebook PC or a PDA acts as a server. The implementation methodology consisting of applicati
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Angulo, Marlenne, and Marco Turrubiartes. "Differentiated Service in IP Networks Using Voice and Data Applications." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2653.

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One of the options that telephonic systems have to optimize the required bandwidth is to migrate to statistical multiplexing systems. These multiplexing schemes also allow the convergence with current data communications systems. This work is based in the interconnection of telephonic systems through the data network using digitalization and voice compression techniques. The optimization of the resources is achieved using the voice compression standard of 8 kbps instead of the 64 kbps standard, thus, introducing differentiated services in IP networks. The performance of the voice packages is i
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Reports on the topic "Data science applications in education"

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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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Pinchuk, Olga, and O. V. Kohan. Responsible use of artificial intelligence: a challenge for science and education. Ukrainian Institute of Scientific and Technical Expertise and Information, 2024. https://doi.org/10.33407/lib.naes.id/eprint/740813.

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An analysis of publications in Scopus was carried out, which testifies to the growth of scientific interest in the problems of academic integrity. Sources presenting research on the ethical aspects of the use of AI have been analyzed. Focus areas: pedagogical practices and student experiences, technological advances and ethical considerations, new assessment technologies and strategies, data for decision making, and educational applications.
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Leu, Katherine. Data for Students: The Potential of Data and Analytics for Student Success. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.rb.0023.2003.

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Postsecondary education is awash in data. Postsecondary institutions track data on students’ demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected outside of institutions, opening possibilities for data linkages. Newer sources of postsecondary education data could provide an even richer view of student success and improve equity. To explore this potential, this brief describes existing applications
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augme
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Kwek, Dennis Beng Kiat, Isabelle Khoo, and Siti Hawa Jonid. Redesigning the Singapore Coding Scheme 2 for Social Studies and Science. National Institute of Education, Nanyang Technological University, Singapore, 2022. https://doi.org/10.32658/10497/29670.

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This Start-Up Grant (SUG) application aims to develop and redesign of the Singapore Coding Scheme 2 (SCS2) for Science. This project builds towards the Core 3 Panel 3 Research Program (Core 3) that seeks to record, measure and analyse the intellectual quality of knowledge work in Singapore classrooms. Building on the Core 1 and Core 2 research programs, Core 3 focuses on the relationships between instruction, pedagogy, assessment and student learning. The broad key objectives for Core 3 are: (a) to continue to develop the model of the logic of teaching and learning in Singapore classrooms expa
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Langlais, Pierre-Carl. Uses of Open Science. Comité pour la science ouverte, 2024. https://doi.org/10.52949/67.

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Contrary to common expectations, 65-90% of the audience of open science platforms comes from non-academics. New research has shown that the open science movement has largely expanded the social, economic and cultural scope of scientific research. Regular users include students, non-academic professionals or private citizens. Private and public structures extensively rely on open research to create new innovations and better document existing practices or products. Significant professional uses of academic research has been attested in numerous sectors such as the aircraft industry, banking, in
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Soenen, Karen. GIS in research and conservation – Lessons plans developed for Black Girls Dive Foundation. Woods Hole Oceanographic Institution, Black Girls Dive Foundation, 2025. https://doi.org/10.1575/1912/71860.

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This document presents lesson plans designed to introduce middle and high school STEM students to the fundamentals of Geographic Information Systems (GIS) and the application of spatial information and mapping in research and conservation. Over the course of six sessions (1.5 hours each), students explore real-world case studies in shark research and oceanography, gaining hands-on experience with GIS tools. These lessons aim to strengthen students’ analytical skills and enhance their understanding of spatial data in marine science. The development of this curriculum was supported by Black Girl
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Gipe, Robert. Data Science Applications in Aviation. Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-129.

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Benelli, Gabriele. Data Science and Machine Learning in Education. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1882567.

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10

Cao, Larry. I. Machine Learning and Data Science Applications in Investments. CFA Institute Research Foundation, 2023. http://dx.doi.org/10.56227/23.1.7.

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Abstract:
Experts from Robeco, Goldman Sachs Global Investment Research, and Neuberger Berman detail AI and big data tools to augment your existing investment processes. Understand the landscape and choose approaches fitting your strategic priorities.
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