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Download full textBosch, 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
Okeke, Godwin N. – International Association for Development of the Information Society, 2014
Technology has gained a firm stronghold in society as well as modern classroom. Students are assumed to have a natural aptitude for computers. Over the past decades, educational websites have appeared to be "interactive" and "to make learning fun". This study employed quantitative method of research using 8th grade instructors…
Descriptors: Technology Uses in Education, Gender Differences, Computer Software, Web Sites
Direct linkGesbocker, Shestine R. – ProQuest LLC, 2011
The purpose of this study was to assess if there was a relationship between sixth, seventh, and eighth grade student's level of mastery of basic math facts and their mathematical scaled score from a standardized test, whether computer assisted instruction (CAI) software improved seventh grade students' ability to master their basic math…
Descriptors: Computer Assisted Instruction, Teaching Methods, Educational Technology, Middle School Students
Franklin, Teresa J. – Journal of Educational Technology, 2008
This paper presents the development of a 3-D virtual environment in Second Life for the delivery of standards-based science content for middle school students in the rural Appalachian region of Southeast Ohio. A mixed method approach in which quantitative results of improved student learning and qualitative observations of implementation within…
Descriptors: Middle School Students, Secondary School Science, Science Education, Computer Simulation
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
