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Ochoa, Jose Luis; Almela, Angela; Valencia-Garcia, Rafael – Educational Research and Reviews, 2011
The identification of valid terms in any domain is fundamental to its computerization. For this reason, in this paper we present a method for obtaining automated morphosyntactic patterns, which will help researchers to obtain valid terms from the proposed patterns, in order to build quality ontologies for the translation from one language to…
Descriptors: Sentences, Syntax, Pattern Recognition, Lexicography
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 2 contains 15 papers dealing the practice of instructional technology including instruction and training…
Descriptors: Educational Technology, Technology Uses in Education, Inclusion, Higher Education
Yoo, Jaebong; Kim, Jihie – International Journal of Artificial Intelligence in Education, 2014
Although many college courses adopt online tools such as Q&A online discussion boards, there is no easy way to measure or evaluate their effect on learning. As a part of supporting instructional assessment of online discussions, we investigate a predictive relation between characteristics of discussion contributions and student performance.…
Descriptors: Discussion Groups, Participation, Group Activities, Student Projects
Jraidi, Imene; Frasson, Claude – Educational Technology & Society, 2013
Detecting the student internal state during learning is a key construct in educational environment and particularly in Intelligent Tutoring Systems (ITS). Students' uncertainty is of primary interest as it is deeply rooted in the process of knowledge construction. In this paper we propose a new sensor-based multimodal approach to model…
Descriptors: Intelligent Tutoring Systems, Adults, Student Attitudes, Decision Making
Li, Nan; Cohen, William W.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2013
The order of problems presented to students is an important variable that affects learning effectiveness. Previous studies have shown that solving problems in a blocked order, in which all problems of one type are completed before the student is switched to the next problem type, results in less effective performance than does solving the problems…
Descriptors: Teaching Methods, Teacher Effectiveness, Problem Solving, Problem Based Learning
Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D.; Montalvo, Orlando; Nakama, Adam – Grantee Submission, 2013
We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science microworld. Towards accomplishing this goal, we generated machine-learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in…
Descriptors: Artificial Intelligence, Inquiry, Middle School Students, Physical Sciences
New Media Consortium, 2013
The "Technology Outlook for Latin American Higher Education 2013-2018: An NMC Horizon Project Regional Analysis" was released as a collaborative effort between the New Media Consortium (NMC), the Centro Superior para la Enseñanza Virtual (CSEV), and Virtual Educa. This report -- published both in Spanish and English -- will inform…
Descriptors: Higher Education, Technology Uses in Education, Educational Technology, Electronic Learning
Collins, Gary W.; Knoetze, Johan G. – Australasian Journal of Educational Technology, 2014
Information communication technology is capable of contributing supplementary teaching and learning strategies that can be used to address various educational challenges faced by higher education. Students who enter South African higher education institutions are often academically under-prepared and have not developed the cognitive skills…
Descriptors: Foreign Countries, Information Technology, Higher Education, Educational Technology
Johnson, L.; Adams Becker, S.; Cummins, M.; Estrada, V. – New Media Consortium, 2014
The "2014 NMC Technology Outlook for Australian Tertiary Education: A Horizon Project Regional Report" reflects a collaborative research effort between the New Media Consortium (NMC) and Open Universities Australia to help inform Australian education leaders about significant developments in technologies supporting teaching, learning,…
Descriptors: Foreign Countries, Postsecondary Education, Technology Uses in Education, Educational Technology
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – Grantee Submission, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
Benjamin D. Nye; Arthur C. Graesser; Xiangen Hu – International Journal of Artificial Intelligence in Education, 2014
AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Software, Artificial Intelligence
Su, Chung-Ho; Cheng, Ching-Hsue – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This study aims to explore the factors in a patient's rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive…
Descriptors: Foreign Countries, Patients, Patient Education, Rehabilitation
Hsu, I-Ching – Educational Technology & Society, 2012
The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…
Descriptors: Electronic Learning, Metadata, Knowledge Representation, Artificial Intelligence
Bimbrahw, Justin; Boger, Jennifer; Mihailidis, Alex – Assistive Technology, 2012
Learning to perform self-care skills can pose a major challenge for children with Autism Spectrum Disorder (ASD) as well as the parents and caregivers who support them. The computerized device described in this paper has been used by children with ASD and their carers to autonomously assist with self-care activities. The device uses computer…
Descriptors: Autism, Artificial Intelligence, Caregivers, Daily Living Skills
Bastiaens, Theo, Ed. – Association for the Advancement of Computing in Education, 2022
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in New York,…
Descriptors: Educational Technology, Flipped Classroom, Online Courses, Student Projects