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Bihao Hu; Longwei Zheng; Jiayi Zhu; Lishan Ding; Yilei Wang; Xiaoqing Gu – IEEE Transactions on Learning Technologies, 2024
This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…
Descriptors: Artificial Intelligence, Natural Language Processing, Instructional Design, Prompting
John Ross – Region 8 Comprehensive Center, 2024
Artificial intelligence (AI) has been making considerable inroads into everyday lives, and AI applications and resources can be found in homes, businesses, entertainment venues, and--of course--in schools. The rapid rate at which AI is being integrated into education and placed in the hands of students, teachers, and other staff has prompted a…
Descriptors: Artificial Intelligence, Elementary Schools, Middle Schools, High Schools
Yu-Shan Chang; Meng-Chen Tsai – Educational Studies, 2024
This study explored the effects of design thinking on the conceptual cognition of artificial intelligence (AI) learning, attitudes toward AI, idea creativity, and the product creativity of AI applications. The concept map indicated that design thinking had a significant effect on the conceptual cognition of AI learning, particularly the relational…
Descriptors: Design, Cognitive Processes, Creativity, Artificial Intelligence
Bellas, Francisco; Guerreiro-Santalla, Sara; Naya, Martin; Duro, Richard J. – International Journal of Artificial Intelligence in Education, 2023
This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any…
Descriptors: Foreign Countries, Artificial Intelligence, Curriculum, High Schools
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
Toppo, Greg; Tracy, Jim – MIT Press, 2021
What will high school education look like in twenty years? High school students are educated today to take their places in a knowledge economy. But the knowledge economy, based on the assumption that information is a scarce and precious commodity, is giving way to an economy in which information is ubiquitous, digital, and machine-generated. In…
Descriptors: Robotics, High Schools, Educational Change, Artificial Intelligence
Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training
Gorjan Nadzinski; Branislav Gerazov; Stefan Zlatinov; Tomislav Kartalov; Marija Markovska Dimitrovska; Hristijan Gjoreski; Risto Chavdarov; Zivko Kokolanski; Igor Atanasov; Jelena Horstmann; Uros Sterle; Matjaz Gams – Informatics in Education, 2023
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills…
Descriptors: Data Science, Artificial Intelligence, Man Machine Systems, Vocational Education
Owolabi Paul Adelana; Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi – Cogent Education, 2024
This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…
Descriptors: Preservice Teachers, Biology, Science Teachers, Intention
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
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Editorial Projects in Education, 2024
Technology is transforming the way teachers teach and learn. This Spotlight explores innovative ways to leverage technology to enhance student engagement, personalize instruction, and prepare students for the future. From equitable access to technology and AI-powered tools to drone-based learning and adaptive learning platforms, these articles…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Artificial Intelligence
Griggs, Dana M.; Crain-Dorough, Mindy – Qualitative Research Journal, 2021
Purpose: The purposes of this paper are to provide a description of AI and to document and compare two applications of AI, one in program evaluation and another in an applied research study. Design/methodology/approach: Focus groups, interviews and observations were used to gather rich qualitative data which was used to detail Appreciative…
Descriptors: Program Evaluation, Artificial Intelligence, Research Methodology, Qualitative Research
Bastiaens, Theo, Ed. – Association for the Advancement of Computing in Education, 2022
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in New York,…
Descriptors: Educational Technology, Flipped Classroom, Online Courses, Student Projects
Tsai, Min-hsiu – Action in Teacher Education, 2012
This study investigates the consistency between human raters and an automated essay scoring system in grading high school students' English compositions. A total of 923 essays from 23 classes of 12 senior high schools in Taiwan (Republic of China) were obtained and scored manually and electronically. The results show that the consistency between…
Descriptors: Foreign Countries, High School Students, Writing (Composition), Essays
Sternberg, Betty J.; Kaplan, Karen A.; Borck, Jennifer E. – Reading Research Quarterly, 2007
Adolescent literacy achievement across the United States is in crisis. More than eight million students in grades 4 to 12 are identified as struggling readers. These students, who perform below grade level in reading and writing, are at high risk for failure in all content subjects and ultimately for dropping out of school. Professionals in the…
Descriptors: Grade 4, Educational Technology, Delivery Systems, Word Processing