Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Active Learning | 5 |
Artificial Intelligence | 5 |
Digital Literacy | 5 |
Technology Uses in Education | 4 |
Student Projects | 3 |
Critical Thinking | 2 |
Electronic Learning | 2 |
Foreign Countries | 2 |
Affective Behavior | 1 |
Alternative Assessment | 1 |
Best Practices | 1 |
More ▼ |
Source
Higher Education Research and… | 1 |
Journal of Computer Assisted… | 1 |
Journal of Education and… | 1 |
ProQuest LLC | 1 |
TechTrends: Linking Research… | 1 |
Author
Andrew Middleton | 1 |
Ibrahim H. Yeter | 1 |
Igor A. Verbovskyi | 1 |
Inna O. Akhnovska | 1 |
Jiahong Su | 1 |
John Chi-Kin Lee | 1 |
Minji Jeon | 1 |
Olha V. Melnychuk | 1 |
Sergiy V. Smirnov | 1 |
Viktoriia V. Sydorenko | 1 |
Weipeng Yang | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Evaluative | 2 |
Dissertations/Theses -… | 1 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Kindergarten | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Primary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Minji Jeon – ProQuest LLC, 2023
This study investigated middle school students' Artificial Intelligence (AI) literacy, focusing on cognitive and affective dimensions with regard to learning about AI. Fourteen middle school students participated in a five-day summer camp. They engaged in a project-based AI literacy program with hands-on activities, data collection and modeling,…
Descriptors: Middle School Students, Artificial Intelligence, Active Learning, Student Projects
William Cain – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper explores the transformative potential of Large Language Models Artificial Intelligence (LLM AI) in educational contexts, particularly focusing on the innovative practice of prompt engineering. Prompt engineering, characterized by three essential components of content knowledge, critical thinking, and iterative design, emerges as a key…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Prompting
Weipeng Yang; Xinyun Hu; Ibrahim H. Yeter; Jiahong Su; Yuqin Yang; John Chi-Kin Lee – Journal of Computer Assisted Learning, 2024
Background: Artificial Intelligence (AI) literacy is a crucial part of digital literacy that all individuals should possess in today's technologically advanced world. Despite the potential benefits that AI education offers, little research has been done on how to teach AI literacy to children. Objectives: This study aimed to fill that gap by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Digital Literacy
Viktoriia V. Sydorenko; Inna O. Akhnovska; Sergiy V. Smirnov; Igor A. Verbovskyi; Olha V. Melnychuk – Journal of Education and Learning (EduLearn), 2024
The research is focused on a comprehensive analysis of digitalization as a prerequisite for higher education modernization. The authors of this article consider the digital divide as a component of information inequality, which has a technological nature and presupposes unequal opportunities for access, use, and production of information and…
Descriptors: Educational Improvement, Higher Education, Digital Literacy, Technology Uses in Education
Andrew Middleton – Higher Education Research and Development, 2025
Spatial fluency describes the ability and confidence of an individual to navigate and negotiate their experiences in a postdigital world. This paper reflects on teaching and learning experiences from the COVID-19 pandemic lockdown and its aftermath, and on the volatile nature of social media, and the threats and opportunities afforded by AI. It…
Descriptors: Spatial Ability, Digital Literacy, Technology Integration, Technology Uses in Education