Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Artificial Intelligence | 3 |
Grade 10 | 3 |
Grade 11 | 3 |
Foreign Countries | 2 |
Grade 12 | 2 |
Grade 8 | 2 |
Grade 9 | 2 |
Technology Uses in Education | 2 |
Accuracy | 1 |
Comparative Analysis | 1 |
Competence | 1 |
More ▼ |
Publication Type
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 3 |
Grade 10 | 3 |
Grade 11 | 3 |
High Schools | 3 |
Junior High Schools | 3 |
Middle Schools | 3 |
Secondary Education | 3 |
Grade 12 | 2 |
Grade 8 | 2 |
Grade 9 | 2 |
Early Childhood Education | 1 |
More ▼ |
Audience
Location
Bulgaria | 1 |
Philippines | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Vladislav Slavov; Kamelia Yotovska; Asya Asenova – International Association for Development of the Information Society, 2023
Artificial intelligence (AI) technology is already challenging a variety of societal areas, including education. It is transforming education to data driven. AI-enhanced technologies in education (abbreviated AIinED) will have a significant role in changing the teaching and learning methods, as well as impacting the behavior and organization of…
Descriptors: Artificial Intelligence, High School Students, Student Attitudes, Technology Uses in Education
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Odicar Joice Chavez; Thelma Palaoag – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This study investigates user preferences for motivational features aligned with self-determination theory (SDT), emphasizing autonomy, relatedness, and competency. The study seeks to identify the most appealing and effective motivational features in AI-driven mobile apps for fostering autonomy, promoting relatedness, and enhancing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Telecommunications