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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
Shiralkar, Prashant – ProQuest LLC, 2017
Misinformation and rumors have become rampant on online social platforms with adverse consequences for the real world. Fact-checking efforts are needed to mitigate the risks associated with the spread of digital misinformation. However, the pace at which information is generated online limits the capacity to fact-check claims at the same rate…
Descriptors: Social Media, Audits (Verification), Information Dissemination, Misconceptions
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Ramanarayanan, Vikram; Suendermann-Oeft, David; Lange, Patrick; Ivanov, Alexei V.; Evanini, Keelan; Yu, Zhou; Tsuprun, Eugene; Qian, Yao – ETS Research Report Series, 2016
We propose a crowdsourcing-based framework to iteratively and rapidly bootstrap a dialog system from scratch for a new domain. We leverage the open-source modular HALEF dialog system to deploy dialog applications. We illustrate the usefulness of this framework using four different prototype dialog items with applications in the educational domain…
Descriptors: Man Machine Systems, Models, Speech, Educational Technology
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Aldridge, David – Educational Theory, 2018
This article by David Aldridge concerns the promise of knowledge "insertion." The promise can be elucidated as follows: knowledge could be inserted by a less time-consuming (and possibly in many senses less expensive) technological process than traditional learning, whereby, for example, some relatively swift procedure of implanting or…
Descriptors: Technology Uses in Education, Brain, Epistemology, Learning Processes
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Adkins, Joni K. – Information Systems Education Journal, 2018
Trends in higher education call for teachers to do more to provide students an engaging and meaningful classroom experience. When active learning activities are added to classes, students interact and investigate topics in an interactive manner instead of relying solely on lecture to learn content. Often planned learning activities can also serve…
Descriptors: Graduate Students, Active Learning, Formative Evaluation, Student Attitudes
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Charlotte N. Gunawardena; Yan Chen; Nick Flor; Damien Sánchez – Online Learning, 2023
Gunawardena et al.'s (1997) Interaction Analysis Model (IAM) is one of the most frequently employed frameworks to guide the qualitative analysis of social construction of knowledge online. However, qualitative analysis is time consuming, and precludes immediate feedback to revise online courses while being delivered. To expedite analysis with a…
Descriptors: Models, Learning Processes, Knowledge Level, Online Courses
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Sharma, Kshitij; Papamitsiou, Zacharoula; Giannakos, Michail – British Journal of Educational Technology, 2019
Students' on-task engagement during adaptive learning activities has a significant effect on their performance, and at the same time, how these activities influence students' behavior is reflected in their effort exertion. Capturing and explaining effortful (or effortless) behavior and aligning it with learning performance within contemporary…
Descriptors: Learning Activities, Learning Analytics, Man Machine Systems, Artificial Intelligence
Cao, Yang – ProQuest LLC, 2019
Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their pedagogy and this work created a data-first approach for Linguistic pedagogy, and to support improved pedagogy delivery and…
Descriptors: Artificial Intelligence, Web Sites, Teacher Improvement, Instructional Improvement
Danielle S. McNamara; Laura K. Allen; Scott A. Crossley; Mihai Dascalu; Cecile A. Perret – Grantee Submission, 2017
Language is of central importance to the field of education because it is a conduit for communicating and understanding information. Therefore, researchers in the field of learning analytics can benefit from methods developed to analyze language both accurately and efficiently. Natural language processing (NLP) techniques can provide such an…
Descriptors: Natural Language Processing, Learning Analytics, Educational Technology, Automation
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Bozkurt, Aras; Kilgore, Whitney; Crosslin, Matt – Australasian Journal of Educational Technology, 2018
Networked technologies have created many learning opportunities and led to new learning models such as massive open online courses (MOOCs). However, MOOCs are an evolving learning model that are even today changing according to learners' needs. First generation cMOOCs and second generation xMOOCs are now being followed by third generation hybrid…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Large Group Instruction
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Koole, Marguerite – International Journal of Mobile and Blended Learning, 2018
This article is primarily a theoretical piece that uses a model of mobile learning, the FRAME model (Koole 2009), to explore a mobile teacher-training project that took place in Papua New Guinea: the SMS Story. The author takes a sociomaterial perspective, drawing upon Barad's agential realism and Sørensen's multiplicity perspective. As the author…
Descriptors: Electronic Learning, Teacher Education, Foreign Countries, Models
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Godwin-Jones, Robert – Educational Technology & Society, 2019
The rapid developments today in artificial intelligence (AI), supported by massive language data collection, are resulting in ever better digital language assistance/translation. Advances in the capabilities of intelligent services lead naturally to envisioning a future where there might be a quite different context for second language (L2) use…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan; Durak, Hatice Yildiz; Keser, Hafize – World Journal on Educational Technology: Current Issues, 2019
The extensification activities of Education Informatics Network use in Turkey are in progress. The use and preferability of this education portal by teachers and students depend on various factors. One of these factors is usability. The purpose of this research is to make the usability analysis of the Education Informatics Network from the…
Descriptors: Foreign Countries, Information Seeking, Technology Integration, Information Technology
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Afzal, Shazia; Dempsey, Bryan; D'Helon, Cassius; Mukhi, Nirmal; Pribic, Milena; Sickler, Aaron; Strong, Peggy; Vanchiswar, Mira; Wilde, Lorin – Childhood Education, 2019
As artificially intelligent systems make their foray into the day-to-day educational experiences of students, we need to pay careful attention to the relationship between the system and the student. In this article, the authors discuss designing the personality of a virtual tutoring system called IBM Watson Tutor. The AI personality is key to the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Design, Learner Engagement
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Xinyi Wang; Mohd Nazri Bin Abdul Rahman; Mohd Shahril Nizam Shaharom – Cogent Education, 2024
Augmented reality (AR) technology is increasingly utilized in cognitive development and education of preschoolers. The Augmented Reality Integrated STEM Preschooler (ARISP) module combines AR technology with STEM (Science, Technology, Engineering, and Mathematics) in teaching and learning activity. This study aims to assess the impacts of the…
Descriptors: Foreign Countries, Preschool Education, STEM Education, Learning Activities
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