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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
Hunkoog Jho; Minsu Ha – Journal of Baltic Science Education, 2024
This study aimed at examining the performance of generative artificial intelligence to extract argumentation elements from text. Thus, the researchers developed a web-based framework to provide automated assessment and feedback relying on a large language model, ChatGPT. The results produced by ChatGPT were compared to human experts across…
Descriptors: Feedback (Response), Artificial Intelligence, Persuasive Discourse, Models
José Luís Araújo; Isabel Saúde – Journal of Chemical Education, 2024
The rapid evolution of Artificial Intelligence (AI) is profoundly shaping our society. Among various AI tools, ChatGPT stands out for its user-friendly nature and wide accessibility to the public. However, despite their countless potential benefits, these tools also face significant challenges, especially in sensitive areas like Education. In this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Chemistry
Andie Tangonan Capinding – Problems of Education in the 21st Century, 2023
Mathematics plays a vital role in education; however, Filipino students encounter difficulties, evident in their performance on both national and international assessments. However, current literature suggests that leveraging technology, such as calculators and AI, in mathematics education can enhance students' proficiency, particularly in the…
Descriptors: Calculus, Mathematics Education, Artificial Intelligence, Technology Uses in Education
Santi Pratiwi Tri Utami; Andayani; Retno Winarni; Sumarwati – Contemporary Educational Technology, 2023
Research shows that artificial intelligence (AI) technology positively influences students' writing skills, but this area has yet to be touched by Indonesian researchers. This study aims to map perception, obstacles, and recommendations for optimizing use of AI in teaching academic writing in Indonesian. This article focuses on a case study of…
Descriptors: Foreign Countries, Writing Instruction, Artificial Intelligence, Writing Skills
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
Saif Alneyadi; Yousef Wardat – Contemporary Educational Technology, 2023
The study aimed to examine the influence of ChatGPT on the academic performance and learning perception of eleventh-grade students in a United Arab Emirates school in the field of electronic magnetism. The participants were randomly divided into two groups: an experimental group granted access to ChatGPT and a control group without access to…
Descriptors: Academic Achievement, Grade 11, Foreign Countries, Artificial Intelligence
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