Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 7 |
| Since 2007 (last 20 years) | 13 |
Descriptor
| Competition | 13 |
| Data Analysis | 13 |
| Models | 13 |
| Foreign Countries | 8 |
| Prediction | 5 |
| Teaching Methods | 5 |
| Academic Achievement | 4 |
| Cooperative Learning | 4 |
| Correlation | 4 |
| Decision Making | 4 |
| Educational Technology | 4 |
| More ▼ | |
Source
Author
| Ahrensmeier, Daria | 1 |
| Aloui, Nadia | 1 |
| Aouba, Albertine | 1 |
| Barnes, Tiffany, Ed. | 1 |
| Baumann, Chris | 1 |
| Bornn, Luke | 1 |
| Bosch, Nigel | 1 |
| Brown, Ray, Ed. | 1 |
| Chaurasia, Sushil S. | 1 |
| Chi, Min, Ed. | 1 |
| Contrand, Benjamin | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 8 |
| Collected Works - Proceedings | 3 |
| Dissertations/Theses -… | 1 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
| Tests/Questionnaires | 1 |
Education Level
Audience
Location
| Australia | 4 |
| South Korea | 2 |
| United Kingdom (England) | 2 |
| Afghanistan | 1 |
| Asia | 1 |
| Brazil | 1 |
| California | 1 |
| Connecticut | 1 |
| Denmark | 1 |
| Egypt | 1 |
| Estonia | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textBornn, Luke; Mortensen, Jacob; Ahrensmeier, Daria – Canadian Journal for the Scholarship of Teaching and Learning, 2022
This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…
Descriptors: Undergraduate Study, Cooperative Learning, Peer Influence, Undergraduate Students
Direct linkPolak, Julia; Cook, Dianne – Journal of Statistics and Data Science Education, 2021
Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…
Descriptors: Artificial Intelligence, Data Analysis, Models, Competition
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Chaurasia, Sushil S.; Kodwani, Devendra; Lachhwani, Hitendra; Ketkar, Manisha Avadhut – International Journal of Educational Management, 2018
Purpose: Although big data analytics (BDA) have great benefits for higher education institutions (HEIs), due to lack of sufficient evidence on how BDA investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The purpose of this paper is to propose a big data academic and learning analytics enabled business…
Descriptors: Data Analysis, Higher Education, Academic Achievement, Excellence in Education
Krskova, Hana; Baumann, Chris – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to combine seemingly unrelated factors to explain global competitiveness. The study argues that school discipline and education investment affect competitiveness with the association being mediated by educational performance. Crucially, diachronic effects of discipline on performance are tested to demonstrate…
Descriptors: Foreign Countries, Competition, Academic Achievement, Least Squares Statistics
Izadi, Dina; Ley, César Eduardo Mora; Díaz, Mario Humberto Ramírez – Physics Education, 2017
Succeeding theories and empirical investigations have often been built over conceptual understanding to develop talent education. Opportunities provided by society are crucial at every point in the talent-development process. Abilities differ and can vary among boys and girls. Although they have some responsibility for their own growth and…
Descriptors: Foreign Countries, Science Education, Student Motivation, Student Attitudes
Penn, Stephen Paul – ProQuest LLC, 2012
This systematic literature review of current scholarship on business intelligence, individual decision-making behavior, strategy as practice, and strategic planning offers a roadmap for firms seeking to increase their competitive advantage through data driven decision-making. Planning, deciding, and using information is a single phenomenon where…
Descriptors: Business, Intelligence, Strategic Planning, Scholarship
Encrenaz, Gaelle; Contrand, Benjamin; Leffondre, Karen; Queinec, Raphaelle; Aouba, Albertine; Jougla, Eric; Miras, Alain; Lagarde, Emmanuel – Suicide and Life-Threatening Behavior, 2012
Our objective was to determine whether the Federation Internationale de Football Association (FIFA) World Cup in 1998 had a short-term impact on the number of suicides in France. Exhaustive individual daily data on suicides from 1979 to 2006 were obtained from the French epidemiological center on the medical causes of death (CepiDC-INSERM;…
Descriptors: Team Sports, Social Integration, Prevention, Suicide
Murphy, Richard; Weinhardt, Felix – Centre for Economic Performance, 2013
We find an individual's rank within their reference group has effects on later objective outcomes. To evaluate the impact of local rank, we use a large administrative dataset tracking over two million students in England from primary through to secondary school. Academic rank within primary school has sizable, robust and significant effects on…
Descriptors: Foreign Countries, Class Rank, Progress Monitoring, Effect Size
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Goos, Merrilyn, Ed.; Brown, Ray, Ed.; Makar, Katie, Ed. – Mathematics Education Research Group of Australasia, 2008
This document presents the proceedings of the 31st Annual Conference of the Mathematics Education Research Group of Australasia (MERGA). The theme of this conference is "Navigating Currents and Charting Directions." The theme reminds us that, although we are constantly pushed to account for the quality and impact of our research, we…
Descriptors: Feedback (Response), Constructivism (Learning), Educational Development, Practicums
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
