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Song, Donggil – Contemporary Educational Technology, 2017
Learning-by-teaching has been identified as one of the more effective approaches to learning. Recently, educational researchers have investigated virtual environments in order to utilize the learning-by-teaching pedagogy. In a face-to-face learning-by-teaching situation, the role of the learners is to teach their peers or instructors. In virtual…
Descriptors: Intelligent Tutoring Systems, Concept Mapping, Man Machine Systems, Interaction
Liu, Ming; Rus, Vasile; Liu, Li – IEEE Transactions on Learning Technologies, 2017
Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…
Descriptors: Chinese, Questioning Techniques, Automation, Natural Language Processing
Chubarkova, Elena V.; Sadchikov, Ilya A.; Suslova, Irina A.; Tsaregorodtsev, Andrey ?.; Milova, Larisa N. – International Journal of Environmental and Science Education, 2016
Article actuality based on fact that existing knowledge system aimed at future professional life of students: a skillful use game activity in educational process will teach students to look for alternative ways solving of real problems. The purpose of article lies in theoretical substantiation, development and testing of criteria, which must be…
Descriptors: Educational Games, Artificial Intelligence, Computer Software, Technology Uses in Education
Terzidou, Theodouli; Tsiatsos, Thrasyvoulos; Miliou, Christina; Sourvinou, Athanasia – IEEE Transactions on Learning Technologies, 2016
This study proposes and applies a novel concept for an AI enhanced serious game collaborative environment as a supplementary learning tool in tertiary education. It is based on previous research that investigated pedagogical agents for a serious game in the OpenSim environment. The proposed AI features to support the serious game are the…
Descriptors: Educational Games, Computer Games, Artificial Intelligence, Student Attitudes
Padilla, Thomas – OCLC Online Computer Library Center, Inc., 2019
Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…
Descriptors: Data Collection, Data Analysis, Artificial Intelligence, Educational Technology
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Webb, C. Lorraine, Ed.; Lindner, Amanda L., Ed. – IGI Global, 2022
With the evolving technologies available to educators and the increased importance of including technologies in the classroom, it is critical for instructors to understand how to successfully utilize these emerging technologies within their curriculum. To ensure they are prepared, further study on the best practices and challenges of…
Descriptors: Preservice Teachers, Elementary Secondary Education, Technology Integration, Standards
Nipitpon Nanthawong – Higher Education Studies, 2024
This research aims to compare the social studies curricula of Thailand and New York State, USA, analyze their similarities and differences, and propose guidelines for improving the Thai social studies curriculum. The study employed a qualitative research methodology, using documentary analysis of the Thai Basic Education Core Curriculum B.E. 2551…
Descriptors: Comparative Education, Social Studies, Core Curriculum, Foreign Countries
Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
Broisin, Julien; Venant, Rémi; Vidal, Philippe – International Journal of Artificial Intelligence in Education, 2017
Remote practical activities have been demonstrated to be efficient when learners come to acquire inquiry skills. In computer science education, virtualization technologies are gaining popularity as this technological advance enables instructors to implement realistic practical learning activities, and learners to engage in authentic and…
Descriptors: Laboratories, Artificial Intelligence, Computer Science Education, Scaffolding (Teaching Technique)
Kopp, Kristopher J.; Johnson, Amy M.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2017
An NLP algorithm was developed to assess question quality to inform feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). A corpus of 4575 questions was coded using a four-level taxonomy. NLP indices were calculated for each question and machine learning was used to predict…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
White, Erin; Shakibnia, Ariana F. – Proceedings of the Interdisciplinary STEM Teaching and Learning Conference, 2019
This article attempts to address the workforce crisis with implications for economic competitiveness and national defense faced by America and the dichotomy of STEM needs and available employees. Businesses struggle to fill critical skilled roles in STEM occupations and thus suffer sluggish growth. In fact, some estimate up to 2.4 million STEM…
Descriptors: STEM Education, Educational Trends, Labor Force, Futures (of Society)
Kartal, Erdogan – Educational Sciences: Theory and Practice, 2019
This study is about artificial neural network modeling of the linguistic challenges encountered by students learning Turkish as a foreign language in universities in France. The study was conducted in four universities where Turkish is taught as an optional foreign language. Sixty-six students whose mother tongues were either Arabic or French…
Descriptors: Turkish, French, Second Language Learning, Second Language Instruction
Obari, Hiroyuko; Lambacher, Stephen – Research-publishing.net, 2019
A constructivist approach to language learning can motivate students by activating their brains to create new knowledge and reflect more consistently and deeply on their language learning experience. The present study focused on assessing the use of the Artificial Intelligence (AI) speakers Google Home Mini and Amazon Alexa as part of a Blended…
Descriptors: Undergraduate Students, Japanese, English (Second Language), Second Language Learning
Smyrnova-Trybulska, Eugenia – International Association for Development of the Information Society, 2019
The article focuses on an overview of evolution, trends, methods, examples and analyses of the experience of e-learning. The author presents theoretical and practical aspects of the use of e-learning in higher education, based on her own long-time experience. The paper comprises a description of stages of e-learning evolution and discusses such…
Descriptors: Electronic Learning, Educational Trends, Educational Technology, Technology Uses in Education