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Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Bashir, Rabia; Dunn, Adam G.; Surian, Didi – Research Synthesis Methods, 2021
Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane…
Descriptors: Literature Reviews, Data, Automation, Statistical Analysis
Ryan Schwarz; H. Cigdem Bulut; Charles Anifowose – International Journal of Assessment Tools in Education, 2023
The increasing volume of large-scale assessment data poses a challenge for testing organizations to manage data and conduct psychometric analysis efficiently. Traditional psychometric software presents barriers, such as a lack of functionality for managing data and conducting various standard psychometric analyses efficiently. These challenges…
Descriptors: Educational Assessment, International Assessment, Psychometrics, Statistical Analysis
Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich – International Journal of Computer-Supported Collaborative Learning, 2016
Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…
Descriptors: Cooperative Learning, Information Retrieval, Data Collection, Data Analysis
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
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
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims…
Descriptors: Professional Associations, Conferences (Gatherings), Electronic Learning, Computer Science Education
Marcum, Deanna; Boss, Richard – Wilson Library Bulletin, 1983
Relates office automation to its application in libraries, discussing computer software packages for microcomputers performing tasks involved in word processing, accounting, statistical analysis, electronic filing cabinets, and electronic mail systems. (EJS)
Descriptors: Accounting, Automation, Computer Programs, Data Processing
CROSSMAN, EDWARD R.F.W.; AND OTHERS – 1966
THE MAJOR OBJECTIVE WAS TO TEST THE HYPOTHESIS THAT THE HIGHEST LEVELS OF MECHANIZATION AND AUTOMATION GENERALLY REQUIRE LOWER LEVELS OF SKILLS THAN EARLIER PRODUCTION SYSTEMS. A SECONDARY OBJECTIVE WAS TO DEVELOP AN INSTRUMENT CAPABLE OF GIVING UNBIASED PROJECTIONS OF THE MANPOWER IMPACT OF SPECIFIC ADVANCES IN PRODUCTION TECHNOLOGY. DEPENDENT…
Descriptors: Administrative Policy, Aerospace Industry, Automation, Banking

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