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Wang, Tingting; Lajoie, Susanne P. – Educational Psychology Review, 2023
Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…
Descriptors: Cognitive Ability, Metacognition, Cognitive Processes, Correlation
Sharma, Priynka; Harkishan, Mayuri – Education and Information Technologies, 2022
Intelligent Tutoring Systems (ITSs) are educational systems that reflect knowledge using artificial intelligence implements. In this paper, we give an outline of the Programming-Tutor architectural design with the core implements on user interaction. This pilot proposal is for designing a model domain of a subset in the computer programming…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Programming, Online Courses
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Eva A. Alfoldi – Journal of Education for Business, 2024
In the COVID-19 era, "Yellowdig" (an online discussion board with social media-like features) has increasingly risen to prominence in higher education. Reflecting on a multi-year experiment involving 14 international business and marketing courses, I argue that Yellowdig remains a valuable tool for learning even after returning to…
Descriptors: Learner Engagement, Interpersonal Relationship, Discussion Groups, Online Courses
Jonathan Brazil; Suijing Yang; Fabienne van der Kleij – Australian Council for Educational Research, 2025
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Principles
Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics
Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Gu, Jerry; Andreopoulos, Stavroula; Jenkinson, Jodie; Ng, Derek P. – Biochemistry and Molecular Biology Education, 2020
Enzyme kinetics is the study of enzymatic catalytic rates in biochemical reactions. This topic is commonly taught to life science students in introductory biochemistry courses during their undergraduate education. Unlike most other biochemistry topics, which focus on visual structures of biomolecules and their processes, enzyme kinetics is…
Descriptors: Biochemistry, Science Instruction, Undergraduate Students, Web Based Instruction
Murphy, Robert F. – RAND Corporation, 2019
Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Teaching Methods, Educational Technology
Underwood, Joshua – Research-publishing.net, 2021
Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…
Descriptors: Audio Equipment, Second Language Learning, Second Language Instruction, Student Motivation
Dawar, Deepak – Information Systems Education Journal, 2022
Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…
Descriptors: Teaching Methods, Introductory Courses, Computer Science Education, Assignments
Office of Educational Technology, US Department of Education, 2023
The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Policy
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This article summarizes the current status of AuthorIT authoring and TutorIT delivery platforms available at www.TutorITweb. It is based on two recent publications, and includes a short history of developments along with references and relationships to the goals established for the GIFT framework established by the Army Learning Model (ALM). Also…
Descriptors: Web Sites, Intelligent Tutoring Systems, Guidelines, Armed Forces
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Fletcher, J. D.; Sottilare, Robert A. – International Journal of Artificial Intelligence in Education, 2018
Teams and teamwork are ubiquitous in military and civilian organizations. Their importance to organizational success cannot be overstated. This article describes the relationship and effect of three concepts: Intelligent Tutoring Systems (ITSs), shared mental models, and teamwork. The nexus between these concepts is examined to determine its…
Descriptors: Teamwork, Teaching Methods, Intelligent Tutoring Systems, Schemata (Cognition)