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Jennifer Campbell; Katie Ansell; Tim Stelzer – Physical Review Physics Education Research, 2024
Recent advances in publicly available natural language processors (NLP) may enhance the efficiency of analyzing student short-answer responses in physics education research (PER). We train a state-of-the-art NLP, IBM's Watson, and test its agreement with human coders using two different studies that gathered text responses in which students…
Descriptors: Artificial Intelligence, Physics, Natural Language Processing, Computer Uses in Education
Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Wang, Huixiang; Lyu, Fei; Sugand, Kapil; Wong, Sheungting; Lin, Yanping; Wang, Qiugen – Anatomical Sciences Education, 2019
Acetabular fractures are a real challenge for junior doctors as well as experienced orthopedic surgeons. Correct fracture classification is crucial for appreciating the fracture type, surgical planning, and predicting prognosis. Although three-dimensional (3D) tutorial is believed to improve the understanding of the complex anatomy structure,…
Descriptors: Anatomy, Human Body, Injuries, Classification
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
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Zemirline, N.; Bourda, Y.; Reynaud, C. – IEEE Transactions on Learning Technologies, 2012
Today, there is a real challenge to enable personalized access to information. Several systems have been proposed to address this challenge including Adaptive Hypermedia Systems (AHSs). However, the specification of adaptation strategies remains a difficult task for creators of such systems. In this paper, we consider the problem of the definition…
Descriptors: Programming, Programming Languages, Computer Software, Access to Information
Haudek, Kevin C.; Prevost, Luanna B.; Moscarella, Rosa A.; Merrill, John; Urban-Lurain, Mark – CBE - Life Sciences Education, 2012
Students' writing can provide better insight into their thinking than can multiple-choice questions. However, resource constraints often prevent faculty from using writing assessments in large undergraduate science courses. We investigated the use of computer software to analyze student writing and to uncover student ideas about chemistry in an…
Descriptors: Chemistry, Biology, Introductory Courses, Science Instruction
Fouh, Eric; Akbar, Monika; Shaffer, Clifford A. – Computers in the Schools, 2012
Computer science core instruction attempts to provide a detailed understanding of dynamic processes such as the working of an algorithm or the flow of information between computing entities. Such dynamic processes are not well explained by static media such as text and images, and are difficult to convey in lecture. The authors survey the history…
Descriptors: Computer Science Education, Educational Assessment, Visualization, Computer Science
Kleban, James Theodore – ProQuest LLC, 2010
The Internet Age has seen the emergence of richly annotated image data collections numbering in the billions of items. This work makes contributions in three primary areas which aid the management of this data: image representation, efficient retrieval, and annotation based on content and metadata. The contributions are as follows. First,…
Descriptors: Internet, Information Retrieval, Classification, Models
Ryan, Mary – Issues in Educational Research, 2009
Qualitative research methods require transparency to ensure the "trustworthiness" of the data analysis. The intricate processes of organising, coding and analysing the data are often rendered invisible in the presentation of the research findings, which requires a "leap of faith" for the reader. Computer assisted data analysis software can be used…
Descriptors: Qualitative Research, Research Methodology, Computer Software, Coding
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
Koh, Joyce H. L.; Frick, Theodore W. – Journal of Educational Computing Research, 2009
Technology skills instruction is an important component of educational technology courses, which has been shown to raise pre-service teachers' computer self-efficacy. Computer self-efficacy, in turn, is positively related to their self-efficacy for technology integration. Studies of undergraduate technology skills instruction found that classroom…
Descriptors: Preservice Teacher Education, Preservice Teachers, Self Efficacy, Teacher Educators
Woelk, Klaus – Journal of Chemical Education, 2008
Clickers are electronic response devices with which a student can remotely submit responses to questions or problems posed by a teacher. The problems are typically true-false or multiple-choice questions, but can also include numerical problems. Clicker devices are particularly popular in large-enrollment introductory science, technology,…
Descriptors: Introductory Courses, Learning Strategies, Problem Based Learning, Chemistry

Abramson, Charles I.; French, Donald P.; Huss, Jeanine; Mundis, Matthew – Teaching of Psychology, 1999
Describes an interactive computer program that provides students with a means for learning classification concepts in the psychology classroom; if computers are not available, clip art can be utilized to study classification. Maintains that the program encourages students to see the importance of modifying any classification system as new data…
Descriptors: Classification, Computer Software, Computer Uses in Education, Higher Education
Gallová, Mária, Ed.; Guncaga, Ján, Ed.; Chanasová, Zuzana, Ed.; Chovancová, Michaela Moldová, Ed. – Online Submission, 2013
Purpose: The purpose of this scientific monograph is to show new and creative approaches to different school subjects in primary and secondary level. Methodology: Interdisciplinary and international comparative approaches were used. Now according to the 7th Framework Program, the preferred form of Science Education (www.scientix.eu) is preferred…
Descriptors: Elementary Secondary Education, Interdisciplinary Approach, Intellectual Disciplines, Comparative Analysis
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