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Direct linkKuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
Developing an Intelligent Tool for Computer-Assisted Formulaic Language Learning from YouTube Videos
Lin, Phoebe – ReCALL, 2022
This paper presents IdiomsTube (https://www.idiomstube.com), the first-ever computer-assisted language learning tool for facilitating the learning of English idiomatic expressions from YouTube videos. The web-based tool is designed to automatically (1) assess the speech rate and lexical difficulty level of any learner-chosen English-captioned…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Teaching Methods
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2022
Educational technology (EdTech) designers need to ensure population validity as they attempt to meet the individual needs of all students. EdTech researchers often have access to larger and more diverse samples of student data to test replication across broad demographic contexts as compared to either the small-scale experiments or the larger…
Descriptors: Educational Technology, Student Diversity, Student Needs, Educational Research
Download full textKay Wijekumar; Karen R. Harris; Steve Graham; Pui-Wa Lei – Grantee Submission, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three essential areas of writing at the upper elementary grade levels. First, children learned skills to read and use source materials through the web-based intelligent tutoring system for the text structure…
Descriptors: Grade 5, Persuasive Discourse, Writing (Composition), Electronic Learning
Kausalai Kay Wijekumar; Karen R. Harris; Steve Graham; Puiwa Lei – Educational Technology Research and Development, 2022
A central goal of upper elementary schools is improving students' skills to write persuasively using source materials. This study focused on three important areas of writing at the upper elementary grade levels. First, the web-based intelligent tutoring system for the text structure strategy (ITSS) was used to teach children how to read source…
Descriptors: Elementary School Students, Grade 5, Persuasive Discourse, Writing (Composition)
Zhe Gao – ProQuest LLC, 2022
Mandarin Chinese verbs are composed of one to four characters that function together as a conceptual unit. However, in modern spoken Chinese, most of these verbs are two-character compounds. This dissertation is focused on adult second language (L2) learners' acquisition of these two-character verb compounds. Specifically, the acquisition of a…
Descriptors: Mandarin Chinese, Second Language Learning, Second Language Instruction, Verbs
Suijing Yang; Daniel Taylor-Griffiths; Fabienne van der Kleij; Pauline Taylor-Guy; Ralph Saubern – Australian Council for Educational Research, 2025
Many existing reviews of educational technologies focus on the affordances of specific types of technology rather than how different technologies can be designed and used to achieve specific teaching and learning objectives. Furthermore, there appears to be a widely held assumption that the use of educational technology will result in improved…
Descriptors: Teacher Empowerment, Educational Technology, Technology Uses in Education, Technology Integration
Paquette, Luc; Baker, Ryan S. – Interactive Learning Environments, 2019
Learning analytics research has used both knowledge engineering and machine learning methods to model student behaviors within the context of digital learning environments. In this paper, we compare these two approaches, as well as a hybrid approach combining the two types of methods. We illustrate the strengths of each approach in the context of…
Descriptors: Comparative Analysis, Student Behavior, Models, Case Studies
Castro, Robin – Education and Information Technologies, 2019
Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors' interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Higher Education
Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
Damacharla, Praveen; Dhakal, Parashar; Stumbo, Sebastian; Javaid, Ahmad Y.; Ganapathy, Subhashini; Malek, David A.; Hodge, Douglas C.; Devabhaktuni, Vijay – International Journal of Artificial Intelligence in Education, 2019
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to deal with emergencies more effectively. This would require real-time monitoring and feedback for each…
Descriptors: Emergency Medical Technicians, Intelligent Tutoring Systems, Instructional Effectiveness, Performance
Chen, Guanliang; Ferreira, Rafael; Lang, David; Gasevic, Dragan – International Educational Data Mining Society, 2019
For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…
Descriptors: Student Attitudes, Intelligent Tutoring Systems, Computer Software, Dialogs (Language)
Graesser, Arthur C.; Hu, Xiangen; Nye, Benjamin D.; VanLehn, Kurt; Kumar, Rohit; Heffernan, Cristina; Heffernan, Neil; Woolf, Beverly; Olney, Andrew M.; Rus, Vasile; Andrasik, Frank; Pavlik, Philip; Cai, Zhiqiang; Wetzel, Jon; Morgan, Brent; Hampton, Andrew J.; Lippert, Anne M.; Wang, Lijia; Cheng, Qinyu; Vinson, Joseph E.; Kelly, Craig N.; McGlown, Cadarrius; Majmudar, Charvi A.; Morshed, Bashir; Baer, Whitney – International Journal of STEM Education, 2018
Background: The Office of Naval Research (ONR) organized a STEM Challenge initiative to explore how intelligent tutoring systems (ITSs) can be developed in a reasonable amount of time to help students learn STEM topics. This competitive initiative sponsored four teams that separately developed systems that covered topics in mathematics,…
Descriptors: Intelligent Tutoring Systems, STEM Education, Electronics, Integrated Curriculum
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
