Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 4 |
Descriptor
Learning Processes | 4 |
Robotics | 4 |
Educational Technology | 2 |
Interaction | 2 |
Student Interests | 2 |
Artificial Intelligence | 1 |
Brain | 1 |
Cognitive Science | 1 |
Computation | 1 |
Computer Software | 1 |
Concept Formation | 1 |
More ▼ |
Source
ProQuest LLC | 4 |
Publication Type
Dissertations/Theses -… | 4 |
Education Level
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Christal Huber – ProQuest LLC, 2024
Non-formal STEM education programs can expose youth to STEM concepts outside the formal school environment. These programs employ education techniques such as hands-on learning, problem-solving, and connection to authentic science experiences. Youth participating in non-formal STEM programs are more likely to consider themselves science people and…
Descriptors: STEM Education, Informal Education, Photography, Student Attitudes
Michaelis, Joseph E. – ProQuest LLC, 2019
There is an established positive relationship between learning that creates a deep understanding in academic content and the development of interest in that content. Recent advances in learning sciences and interest development research have also emphasized the importance of social supports and interaction and the need for personalization during…
Descriptors: Learner Engagement, Robotics, Student Interests, Scaffolding (Teaching Technique)
Melcer, Edward F. – ProQuest LLC, 2018
Embodiment is a concept that has gained widespread usage within the Human-Computer Interaction (HCI) community in recent years. In a general sense, embodiment is the notion that cognition arises not just from the mind, but also through our bodies' physical and social interactions with the world around us. HCI has employed this body-centric…
Descriptors: Educational Technology, Human Body, Design, Man Machine Systems
Burk, Robin K. – ProQuest LLC, 2010
Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring…
Descriptors: Robotics, Artificial Intelligence, Natural Language Processing, Databases