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Marilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
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Sulyma, Volodymyr; Yaroshenko, Kateryna; Verholaz, Igor; Badyul, Pavlo – International Society for Technology, Education, and Science, 2021
At the examination of a patient, a doctor evaluates clinical picture of the disease that manifests itself by a great number of various general and local symptoms caused by an etiological factor and pathogenesis changes of the different organs and systems of the organism. A purpose of the surgical patient examination is making of early, correct and…
Descriptors: Surgery, Physicians, Clinical Diagnosis, Diseases
Samad, Tariq – 1986
The application of the "back-propagation" learning algorithm to the task of determining the right set of features corresponding to the words in an input sentence is described. Features that are specific to particular nouns and verbs, that indicate whether a nominal constituent is singular or plural, definite or indefinite, and that…
Descriptors: Algorithms, Case (Grammar), Classification, Computer Storage Devices
Lau, C. Allen; Wang, Tianyou – 2000
This paper proposes a new Information-Time index as the basis for item selection in computerized classification testing (CCT) and investigates how this new item selection algorithm can help improve test efficiency for item pools with mixed item types. It also investigates how practical constraints such as item exposure rate control, test…
Descriptors: Algorithms, Classification, Computer Assisted Testing, Elementary Secondary Education
Shim, Minsuk; Felner, Robert; Shim, Eunjae; Brand, Stephen; Gu, Kenneth – 1999
This study examined factors related to survey response rate, particularly for teachers who participated in a nationwide survey. Using a newly developed statistical technique, the classification tree algorithm (CART), this study classified the lowest response rate and highest response rate groups based on their school demographic characteristics.…
Descriptors: Algorithms, Classification, Middle School Teachers, Middle Schools