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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
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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
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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
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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
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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
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Jo Ann Oravec – International Journal of Designs for Learning, 2014
Expert system technologies are varieties of artificial intelligence (AI) approaches in which decision-making knowledge is codified and modeled. This design case has the challenging task of characterizing this set of technologies during a particularly important period in its development (1984-1991), with an emphasis on a particular system that was…
Descriptors: Artificial Intelligence, Decision Making, Information Technology, Food Service
Adams Becker, S.; Freeman, A.; Giesinger Hall, C.; Cummins, M.; Yuhnke, B. – New Media Consortium, 2016
What is on the five-year horizon for K-12 schools worldwide? Which trends and technologies will drive educational change? What are the challenges that we consider as solvable or difficult to overcome, and how can we strategize effective solutions? These questions and similar inquiries regarding technology adoption and transforming teaching and…
Descriptors: Annual Reports, Elementary Secondary Education, Educational Trends, Educational Change
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Muhammet Demirbilek Ed.; Mahmut Sami Ozturk Ed.; Mevlut Unal Ed. – International Society for Technology, Education, and Science, 2023
"Proceedings of International Conference on Studies in Education and Social Sciences" includes full papers presented at the International Conference on Studies in Education and Social Sciences (ICSES) which took place on October 20-23, 2023, in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to…
Descriptors: Conferences (Gatherings), International Cooperation, Education, Social Sciences
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
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Garcia-Roselló, Emilio; González-Dacosta, Jacinto; Lado, Maria J.; Méndez, Arturo J.; Garcia Pérez-Schofield, Baltasar; Ferrer, Fátima – Informatics in Education, 2011
Artificial Neural Networks (ANN's) are nowadays a common subject in different curricula of graduate and postgraduate studies. Due to the complex algorithms involved and the dynamic nature of ANN's, simulation software has been commonly used to teach this subject. This software has usually been developed specifically for learning purposes, because…
Descriptors: Simulation, Computer Software, Cost Effectiveness, Artificial Intelligence
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