NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Type
Reports - Evaluative14
Journal Articles10
Speeches/Meeting Papers4
Opinion Papers1
Audience
Location
France1
Utah1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Das, Syaamantak; Mandal, Shyamal Kumar Das; Basu, Anupam – Contemporary Educational Technology, 2020
Cognitive learning complexity identification of assessment questions is an essential task in the domain of education, as it helps both the teacher and the learner to discover the thinking process required to answer a given question. Bloom's Taxonomy cognitive levels are considered as a benchmark standard for the classification of cognitive…
Descriptors: Classification, Difficulty Level, Test Items, Identification
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dorça, Fabiano A.; Araújo, Rafael D.; de Carvalho, Vitor C.; Resende, Daniel T.; Cattelan, Renan G. – Informatics in Education, 2016
Content personalization in educational systems is an increasing research area. Studies show that students tend to have better performances when the content is customized according to his/her preferences. One important aspect of students particularities is how they prefer to learn. In this context, students learning styles should be considered, due…
Descriptors: Resource Units, Cognitive Style, Automation, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Cechinel, Cristian; Sanchez-Alonso, Salvador; Garcia-Barriocanal, Elena – Computers & Education, 2011
The continuously growth of learning resources available in on-line repositories has raised the concern for the development of automated methods for quality assessment. The current existence of on-line evaluations in such repositories has opened the possibility of searching for statistical profiles of highly-rated resources that can be used as…
Descriptors: Discriminant Analysis, Educational Resources, Classification, Automation
Heiner, Cecily; Zachary, Joseph L. – International Working Group on Educational Data Mining, 2009
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…
Descriptors: Classification, Questioning Techniques, Introductory Courses, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science
Peer reviewed Peer reviewed
Direct linkDirect link
Ozpolat, Ebru; Akar, Gozde B. – Computers & Education, 2009
A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…
Descriptors: Cognitive Style, Classification, Measures (Individuals), Measurement Techniques
Peer reviewed Peer reviewed
Ribeiro-Neto, Berthier; Laender, Alberto H. F.; de Lima, Luciano R. S. – Journal of the American Society for Information Science and Technology, 2001
Evaluates the retrieval performance of an algorithm that automatically categorizes medical documents, which consists in assigning an International Code of Disease (ICD) based on well-known information retrieval techniques. Reports on experimental results that tested precision using a database of over 20,000 medical documents. (Author/LRW)
Descriptors: Algorithms, Automation, Classification, Databases
De Bruijn, Berry; Martin, Joel; Wolting, Cheryl; Donaldson, Ian – Proceedings of the ASIST Annual Meeting, 2001
Examines several alternative document summarization techniques to determine which is the most effective for saving time when a human judge must certify the output of an automatic categorization system. That is, how useful is the summarization technique as compared to reading the entire document. Users in this case are molecular biologists wanting…
Descriptors: Abstracts, Automation, Classification, Computer Oriented Programs
Peer reviewed Peer reviewed
Bethel, Kathleen E. – Reference Librarian, 1994
Explores how theories of Afrocentricity can affect the arrangement of knowledge and the dissemination of information in libraries. Various aspects of cataloging are discussed, including controlled vocabularies, computer applications, and classification schemes; historical collections are reviewed; and examples of problems with Library of Congress…
Descriptors: Afrocentrism, Black Studies, Cataloging, Change
Marek, Kate – 1988
This paper examines the use of the Dewey Decimal Classification (DDC) system at the U. S. Conn Library at Wayne State College (WSC) in Nebraska. Several developments in the last 20 years which have eliminated the trend toward reclassification of academic library collections from DDC to the Library of Congress (LC) classification scheme are…
Descriptors: Academic Libraries, Cataloging, Classification, Dewey Decimal Classification
Agenbroad, James Edward – 1992
The dilemma of cataloging works in writing systems other than the roman alphabet is explored. Some characteristics of these writing system are reviewed, and the implications of these characteristics for input, retrieval, sorting, and display needed for adequate online catalogs of such works are considered. Reasons why needs have not been met are…
Descriptors: Bibliographic Records, Classification, Cyrillic Alphabet, Ideography