Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Artificial Intelligence | 3 |
Educational Technology | 3 |
Natural Language Processing | 3 |
Computer Simulation | 2 |
Problem Solving | 2 |
Semantics | 2 |
Affective Behavior | 1 |
Affordances | 1 |
Algorithms | 1 |
Automation | 1 |
Barriers | 1 |
More ▼ |
Author
Dennis, Simon, Ed. | 1 |
Durlach, Paula J., Ed | 1 |
Joseph Krajcik, Editor | 1 |
Kintsch, Walter, Ed. | 1 |
Landauer, Thomas K., Ed. | 1 |
Lesgold, Alan M., Ed. | 1 |
McNamara, Danielle S., Ed. | 1 |
Xiaoming Zhai, Editor | 1 |
Publication Type
Books | 3 |
Collected Works - General | 2 |
Guides - General | 1 |
Reports - Descriptive | 1 |
Education Level
Postsecondary Education | 2 |
Adult Education | 1 |
Elementary Secondary Education | 1 |
Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology
Durlach, Paula J., Ed; Lesgold, Alan M., Ed. – Cambridge University Press, 2012
This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…
Descriptors: Expertise, Educational Strategies, Semantics, Intelligent Tutoring Systems
Landauer, Thomas K., Ed.; McNamara, Danielle S., Ed.; Dennis, Simon, Ed.; Kintsch, Walter, Ed. – Routledge, Taylor & Francis Group, 2007
"The Handbook of Latent Semantic Analysis" is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols.…
Descriptors: Semantics, Natural Language Processing, Philosophy, Artificial Intelligence