Relevant bibliographies by topics / Educational data mining

Contents

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

Academic literature on the topic 'Educational data mining'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Educational data mining.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Educational data mining"

1

Pragati, Sharma, and Sanjiv Sharma Dr. "DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW." INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGIES AND MANAGEMENT RESEARCH 5, no. 2 :SE (2018): 166–77. https://doi.org/10.5281/zenodo.1202113.

Full text
Abstract:
Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge from data that come from educational field and it helps to extract the hidden patterns and to discover new knowledge from large educational databases with the use of data mining techniques and tools. Extracted knowledge from educational mining c
APA, Harvard, Vancouver, ISO, and other styles
2

Sharma, Pragati, and Dr Sanjiv Sharma. "DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW." International Journal of Engineering Technologies and Management Research 5, no. 2 (2020): 166–77. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.641.

Full text
Abstract:
Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge from data that come from educational field and it helps to extract the hidden patterns and to discover new knowledge from large educational databases with the use of data mining techniques and tools. Extracted knowledge from educational mining c
APA, Harvard, Vancouver, ISO, and other styles
3

Bunkar, Kamal. "Educational Data Mining in Practice Literature Review." Journal of Advanced Research in Embedded System 07, no. 01 (2020): 1–7. http://dx.doi.org/10.24321/2395.3802.202001.

Full text
Abstract:
Educational Data Mining (EDM) is an evolving field with a suite of computational and psychological methods for understanding how students learn. Applying Data Mining methods to education data help us to resolve educational investigation issues. The growth of education data offers some unique advantages as well as some new challenges for education study. Some of the challenges are an improvement of student models, identify domain structure model, pedagogical support and extend educational theories. The main objective of this paper is to present the capabilities of data mining in the context of
APA, Harvard, Vancouver, ISO, and other styles
4

Shrestha, Sushil, and Manish Pokharel. "Educational data mining in moodle data." International Journal of Informatics and Communication Technology (IJ-ICT) 10, no. 1 (2021): 9. http://dx.doi.org/10.11591/ijict.v10i1.pp9-18.

Full text
Abstract:
<p>The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course called Human Computer Interaction (COMP341), offered by the Department of Computer Science and Engineering at Kathmandu University, Nepal. Kathmandu University uses Moodle as an e-learning platform. The dataset contained eight features where Ass
APA, Harvard, Vancouver, ISO, and other styles
5

Sushil, Shrestha, and Pokharel Manish. "Educational data mining in moodle data." International Journal of Informatics and Communication Technology (IJ-ICT) 10, no. 1 (2021): 9–18. https://doi.org/10.11591/ijict.v10i1.pp9-18.

Full text
Abstract:
The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course called Human Computer Interaction (COMP341), offered by the Department of Computer Science and Engineering at Kathmandu University, Nepal. Kathmandu University uses Moodle as an e-learning platform. The dataset contained eight features where Assignment.C
APA, Harvard, Vancouver, ISO, and other styles
6

Bilal Zorić, Alisa. "Benefits of Educational Data Mining." Journal of International Business Research and Marketing 6, no. 1 (2020): 12–16. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.61.3002.

Full text
Abstract:
We live in a world where we collect huge amounts of data, but if this data is not further analyzed, it remains only huge amounts of data. With new methods and techniques, we can use this data, analyze it and get a great advantage. The perfect method for this is data mining. Data mining is the process of extracting hidden and useful information and patterns from large data sets. Its application in various areas such as finance, telecommunications, healthcare, sales marketing, banking, etc. is already well known. In this paper, we want to introduce special use of data mining in education, called
APA, Harvard, Vancouver, ISO, and other styles
7

Hussain, Sadiq, and Hazarika G.C. "Educational Data Mining Using JMP." International Journal of Computer Science and Information Technology 6, no. 5 (2014): 111–20. http://dx.doi.org/10.5121/ijcsit.2014.6509.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bachhal, P., S. Ahuja, and S. Gargrish. "Educational Data Mining: A Review." Journal of Physics: Conference Series 1950, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1742-6596/1950/1/012022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Mohamad, Siti Khadijah, and Zaidatun Tasir. "Educational Data Mining: A Review." Procedia - Social and Behavioral Sciences 97 (November 2013): 320–24. http://dx.doi.org/10.1016/j.sbspro.2013.10.240.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Slater, Stefan, Srećko Joksimović, Vitomir Kovanovic, Ryan S. Baker, and Dragan Gasevic. "Tools for Educational Data Mining." Journal of Educational and Behavioral Statistics 42, no. 1 (2016): 85–106. http://dx.doi.org/10.3102/1076998616666808.

Full text
Abstract:
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will highlight the utility that these tools have with respect to common data preprocessing and analysis steps in a typical research project as well as more descriptive information such as price point and user-friendliness. We will also highlight niche tools in th
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Educational data mining"

1

Войцун, О. Є. "Перспективи educational data mining в Україні". Thesis, Cумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47901.

Full text
Abstract:
Актуальність дослідження полягає в тому, що сучасний стан освіти вимагає використання сучасних методів для імплементації вказаних вище потреб, і educational data mining (EDM) надає унікальні можливості для дослідників і практиків. Метою роботи було виявлення перективних напрямків ЕDM для України.
APA, Harvard, Vancouver, ISO, and other styles
2

Melgueira, Pedro Miguel Lúcio. "Educational data mining applied to Moodle data from the University of Évora." Master's thesis, Universidade de Évora, 2017. http://hdl.handle.net/10174/21346.

Full text
Abstract:
E-Learning tem vindo a ganhar popularidade como forma de transmissão de conhecimentos a nível educacional graças aos avanços nas tecnologias, como por exemplo, a Internet. Instituições como universidades e empresas têm vindo a usar E-Learning para a transmissão de conteúdos educacionais para locais remotos estendendo o seu alcance a estudantes e colaboradores que estão fisicamente distantes. Sistemas chamados “Learning Management Systems”, como o Moodle, existem para organizar E-Learning. Eles oferecem plataformas online onde professores e educadores podem publicar conteúdo, organizar activida
APA, Harvard, Vancouver, ISO, and other styles
3

Borg, Olivia. "Educational Data Mining : En kvalitativ studie med inriktning på dataanalys för att hitta mönster i närvarostatistik." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16987.

Full text
Abstract:
Studien fokuserar på att hitta olika mönster i närvarostatistik hos elever som inte närvarar i skolan. Informationen som resultatet ger kan därefter användas som ett beslutsunderlag för skolor eller till andra organisationer som är intresserade av EDM inom närvarostatistik. Arbetet genomförde en kvalitativ metodansats med en fallstudie som bestod utav en litteraturstudie samt en implementation. Litteraturstudien användes för att få en förståelse över vanliga tillvägagångssätt inom EDM, som därefter låg till grund för implementationen som använde arbetssättet CRISP-DM. Resultatet blev fem olika
APA, Harvard, Vancouver, ISO, and other styles
4

Mavrikis, Manolis P. "Modelling students' behaviour and affect in ILE through educational data mining." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/15294.

Full text
Abstract:
The long-term objective behind the research presented in this thesis is the improvement of ILEs and particularly those components that take into account students’ behaviour, as well as emotions and motivation. In related research, this is often attempted based on intuition, theoretical perspectives, or guided by results from studies in the isolation of a research lab. In this thesis, an attempt is made to inform the design of adaptation and feedback components by collecting and analysing as realistic data as possible. Guided by the belief that qualitative data analysis results can be enriched
APA, Harvard, Vancouver, ISO, and other styles
5

Rajibussalim. "Data Mining for Studying the Impact of Reflection on Learning." Thesis, The University of Sydney, 2010. http://hdl.handle.net/2123/10589.

Full text
Abstract:
Title: Data Mining for Studying the Impact of Reflection on Learning Keywords: educational data mining, Reflect, learning behaviour, impact Abstract On-line Web-based education learning systems generate a large amount of students' log data and profiles that could be useful for educators and students. Hence, data mining techniques that enable the extraction of hidden and potentially useful information in educational databases have been employed to explore educational data. A new promising area of research called educational data mining (EDM) has emerged. Reflect is a Web-based learning system
APA, Harvard, Vancouver, ISO, and other styles
6

Alsuwaiket, Mohammed. "Measuring academic performance of students in Higher Education using data mining techniques." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/34680.

Full text
Abstract:
Educational Data Mining (EDM) is a developing discipline, concerned with expanding the classical Data Mining (DM) methods and developing new methods for discovering the data that originate from educational systems. It aims to use those methods to achieve a logical understanding of students, and the educational environment they should have for better learning. These data are characterized by their large size and randomness and this can make it difficult for educators to extract knowledge from these data. Additionally, knowledge extracted from data by means of counting the occurrence of certain
APA, Harvard, Vancouver, ISO, and other styles
7

Xu, Yonghong. "Using data mining in educational research: A comparison of Bayesian network with multiple regression in prediction." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280504.

Full text
Abstract:
Advances in technology have altered data collection and popularized large databases in areas including education. To turn the collected data into knowledge, effective analysis tools are required. Traditional statistical approaches have shown some limitations when analyzing large-scale data, especially sets with a large number of variables. This dissertation introduces to educational researchers a new data analysis approach called data mining, an analytic process at the intersection of statistics, databases, machine learning/artificial intelligence (AI), and computer science, that is designed t
APA, Harvard, Vancouver, ISO, and other styles
8

Davoodi, Alireza. "User modeling and data mining in intelligent educational games : Prime Climb a case study." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45274.

Full text
Abstract:
Educational games are designed to leverage students’ motivation and engagement in playing games to deliver pedagogical concepts to the players during game play. Adaptive educational games, in addition, utilize students’ models of learning to support personalization of learning experience according to students’ educational needs. A student’s model needs to be capable of making an evaluation of the mastery level of the target skills in the student and providing reliable base for generating tailored interventions to meet the user’s needs. Prime Climb, an adaptive educational game for students in
APA, Harvard, Vancouver, ISO, and other styles
9

Dailey, Matthew D. "Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/684.

Full text
Abstract:
Classroom instruction time is a valuable yet scarce resource to teachers, who must decide how to best meet their objectives by selecting which topics to spend time on and when to move forward. Intelligent Tutoring Systems (ITS) are a powerful tool for teachers in this regard, allowing them to measure their students' current level of knowledge, helping them gauge student knowledge acquisition, and providing them with valuable insight into learning methodologies. By using ITS to identify the effectiveness of proven methods of instruction, we can more effectively teach students both in and outsid
APA, Harvard, Vancouver, ISO, and other styles
10

Xu, Beijie. "Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/954.

Full text
Abstract:
There are common pitfalls and neglected areas when using clustering approaches to solve educational problems. A clustering algorithm is often used without the choice being justified. Few comparisons between a selected algorithm and a competing algorithm are presented, and results are presented without validation. Lastly, few studies fully utilize data provided in an educational environment to evaluate their findings. In response to these problems, this thesis describes a rigorous study comparing two clustering algorithms in the context of an educational digital library service, called the Inst
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Educational data mining"

1

Peña-Ayala, Alejandro, ed. Educational Data Mining. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02738-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mai, Tai Tan, Martin Crane, and Marija Bezbradica, eds. Educational Data Mining und Learning Analytics. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39607-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sweta, Soni. Modern Approach to Educational Data Mining and Its Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4681-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sweta, Soni. Sentiment Analysis and its Application in Educational Data Mining. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2474-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Khan, Badrul H., Joseph Rene Corbeil, and Maria Elena Corbeil, eds. Responsible Analytics and Data Mining in Education. Routledge, 2018. http://dx.doi.org/10.4324/9780203728703.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Stefanie, Lindstaedt, Kloos Carlos Delgado, Hernández-Leo Davinia, and SpringerLink (Online service), eds. 21st Century Learning for 21st Century Skills: 7th European Conference of Technology Enhanced Learning, EC-TEL 2012, Saarbrücken, Germany, September 18-21, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Romero, Cristobal, Sebastian Ventura, Mykola Pechenizkiy, and Ryan S. J. d. Baker, eds. Handbook of Educational Data Mining. CRC Press, 2010. http://dx.doi.org/10.1201/b10274.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Handbook of educational data mining. Taylor & Francis Group, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Pechenizkiy, Mykola, Cristobal Romero, Sebastian Ventura, and Ryan S. J. d. Baker. Handbook of Educational Data Mining. Taylor & Francis Group, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Romero, Cristobal. Handbook of Educational Data Mining. Taylor & Francis Group, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Educational data mining"

1

Scheuer, Oliver, and Bruce M. McLaren. "Educational Data Mining." In Encyclopedia of the Sciences of Learning. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_618.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Baker, Ryan S., Yuan Wang, Luc Paquette, et al. "EDUCATIONAL DATA MINING." In Data Mining and Learning Analytics. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118998205.ch4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dawson, Catherine. "Educational data mining." In A–Z of Digital Research Methods. Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Luo, Heng. "Educational data mining." In Instructional Design with Emerging Technologies. Routledge, 2024. http://dx.doi.org/10.4324/9781003535867-10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Peña-Ayala, Alejandro, and Leonor Cárdenas. "How Educational Data Mining Empowers State Policies to Reform Education: The Mexican Case Study." In Educational Data Mining. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Romero, Cristóbal, Rebeca Cerezo, Alejandro Bogarín, and Miguel Sánchez-Santillán. "EDUCATIONAL PROCESS MINING." In Data Mining and Learning Analytics. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118998205.ch1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bousbia, Nabila, and Idriss Belamri. "Which Contribution Does EDM Provide to Computer-Based Learning Environments?" In Educational Data Mining. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ivančević, Vladimir, Marko Knežević, Bojan Pušić, and Ivan Luković. "Adaptive Testing in Programming Courses Based on Educational Data Mining Techniques." In Educational Data Mining. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Amir, Ofra, Kobi Gal, David Yaron, Michael Karabinos, and Robert Belford. "Plan Recognition and Visualization in Exploratory Learning Environments." In Educational Data Mining. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Sun, Xiaoxun. "Finding Dependency of Test Items from Students’ Response Data." In Educational Data Mining. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02738-8_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Educational data mining"

1

Elhalim, Ahmed Ali Abd, Sara Mohamed Mosaad, and Mohamed Marie. "Enhancing Higher Educational Student Performance Using Data Mining Techniques." In 2024 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). IEEE, 2024. https://doi.org/10.1109/miucc62295.2024.10783600.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Alavala, Hemanth Reddy, Vontela Kartheek Reddy, Vubbara Chaitri Reddy, C. Paramasivam, and T. K. Ramesh. "Educational Data Mining for Predicting Academic Outcomes Using Ensemble Techniques." In 2025 International Conference on Visual Analytics and Data Visualization (ICVADV). IEEE, 2025. https://doi.org/10.1109/icvadv63329.2025.10961471.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

da Silva, Victor Regis Lyra Beserra, Fabio de Albuquerque Silva, and Vanilson Buregio. "Characterizing Educational Data Mining." In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2019. http://dx.doi.org/10.23919/cisti.2019.8760815.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Dol, Sunita M., and Pradeep M. Jawandhiya. "Use of Data mining Tools in Educational Data Mining." In 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT). IEEE, 2022. http://dx.doi.org/10.1109/ccict56684.2022.00075.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mishra, Akansha, Rashi Bansal, and Shailendra Narayan Singh. "Educational data mining and learning analysis." In 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence (Confluence). IEEE, 2017. http://dx.doi.org/10.1109/confluence.2017.7943201.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Aleem, Abdul, and Manoj Madhava Gore. "Educational Data Mining Methods: A Survey." In 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2020. http://dx.doi.org/10.1109/csnt48778.2020.9115734.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Moscoso-Zea, Oswaldo, Andres-Sampedro, and Sergio Lujan-Mora. "Datawarehouse design for educational data mining." In 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET). IEEE, 2016. http://dx.doi.org/10.1109/ithet.2016.7760754.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Johnson, Julia Ann, Genevieve Marie Johnson, and Robert F. Cavanagh. "Rough Sets for Mining Educational Data." In 2012 Spring Congress on Engineering and Technology (S-CET). IEEE, 2012. http://dx.doi.org/10.1109/scet.2012.6341891.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Baker, Ryan S. J. d., Simon Buckingham Shum, Erik Duval, John Stamper, and David Wiley. "Educational data mining meets learning analytics." In the 2nd International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2330601.2330613.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Siemens, George, and Ryan S. J. d. Baker. "Learning analytics and educational data mining." In the 2nd International Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2330601.2330661.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Educational data mining"

1

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
2

de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

Full text
Abstract:
Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
APA, Harvard, Vancouver, ISO, and other styles
3

de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

Full text
Abstract:
Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo
APA, Harvard, Vancouver, ISO, and other styles
4

Zelinska, Snizhana O., Albert A. Azaryan, and Volodymyr A. Azaryan. Investigation of Opportunities of the Practical Application of the Augmented Reality Technologies in the Information and Educative Environment for Mining Engineers Training in the Higher Education Establishment. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2672.

Full text
Abstract:
The augmented reality technologies allow receiving the necessary data about the environment and improvement of the information perception. Application of the augmented reality technologies in the information and educative environment of the higher education establishment will allow receiving the additional instrumental means for education quality increasing. Application of the corresponding instrumental means, to which the platforms of the augmented reality Vuforia, ARToolKit, Kudan can be referred, will allow presenting the lecturers the necessary tools for making of the augmented reality aca
APA, Harvard, Vancouver, ISO, and other styles
5

Balyk, Nadiia, Svitlana Leshchuk, and Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3741.

Full text
Abstract:
The work is devoted to designing a smart home educational model. The authors analyzed the literature in the field of the Internet of Things and identified the basic requirements for the training model. It contains the following levels: command, communication, management. The authors identify the main subsystems of the training model: communication, signaling, control of lighting, temperature, filling of the garbage container, monitoring of sensor data. The proposed smart home educational model takes into account the economic indicators of resource utilization, which gives the opportunity to sa
APA, Harvard, Vancouver, ISO, and other styles
6

Vizmanos, Jana Flor, Sheila Siar, Jose Ramon Albert, Janina Luz Sarmiento, and Angelo Hernandez. Like, Comment, and Share: Analyzing Public Sentiments of Government Policies in Social Media. Philippine Institute for Development Studies, 2023. http://dx.doi.org/10.62986/dp2023.33.

Full text
Abstract:
Social media has become an increasingly important tool for gauging public sentiment, offering real-time insights that can guide policy decisions. This study focuses on analyzing sentiments expressed on the Philippine Institute for Development Studies (PIDS) Facebook page, providing a window into public opinion on various development issues and governmental policies. By conducting opinion mining and sentiment analysis on comments from the top three viral Facebook posts of PIDS, which discuss education, the middle class, and social protection policies, the study reveals a range of public perspec
APA, Harvard, Vancouver, ISO, and other styles
7

Córdoba Solano, Daniela, Felipe Gomez-Trejos, and Alberto Vindas Quesada. Market Power, Industry Concentration and Trade Liberalization: Evidence from Costa Rica. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013429.

Full text
Abstract:
Research about trade liberalization's impact on markups has focused on manufacturing due to data availability considerations. How do these effects vary across sectors? Which industries become more and less competitive as trade barriers are eliminated? We leverage firm-level tax records from the universe of formal-sector businesses in Costa Rica with the 2009 trade liberalization as a natural experiment to evaluate its industry-specific effects on markups across all industries. We find negative effects on markups in agriculture, mining, electricity, water supply, and business services. Alternat
APA, Harvard, Vancouver, ISO, and other styles
8

LI, Zhendong, Chengcheng Zhang, Hangjian Qiu, Xiaoqian Wang, and Yuejuan Zhang. Different Acupuncture Intervention Time-points for Rehabilitation of Post-Stroke Cognitive Impairment：Protocol For a Network Meta-analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0043.

Full text
Abstract:
Review question / Objective: This study will provide evidence-based references for the efficacy of different acupuncture interventions time-point in the treatment of post-stroke cognitive impairment(PSCI). 1. Types of studies. Only randomized controlled trials (RCTs) of acupuncture for PSCI will be recruited. Additionally, Studies should be available in full papers as well as peer-reviewed and the original data should be clear and adequate. 2. Types of participants. All adults with a recent or previous history of ischaemic or hemorrhagic stroke and diagnosed according to clearly defined or int
APA, Harvard, Vancouver, ISO, and other styles
9

LI, Zhendong, Hangjian Qiu, xiaoqian Wang, chengcheng Zhang, and Yuejuan Zhang. Comparative Efficacy of 5 non-pharmaceutical Therapies For Adults With Post-stroke Cognitive Impairment: Protocol For A Bayesian Network Analysis Based on 55 Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0036.

Full text
Abstract:
Review question / Objective: This study will provide evidence-based references for the efficacy of 5 different non-pharmaceutical therapies in the treatment of post-stroke cognitive impairment(PSCI). 1. Types of studies. Only randomized controlled trials (RCTs) of Transcranial Magnetic Stimulation(TMS), Transcranial Direct Current Stimulation(tDCS), Acupuncture, Virtual Reality Exposure Therapy(VR) and Computer-assisted cognitive rehabilitation(CA) for PSCI will be recruited. Additionally, Studies should be available in full papers as well as peer reviewed and the original data should be clear
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Educational data mining' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography