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Jeff Schiel; Becky L. Bobek; Joyce Z. Schnieders – ACT, Inc., 2023
There is growing interest in artificial intelligence (AI) tools, especially high-profile tools like ChatGPT, and these tools now appear to be part of the education experience for many high school students. To investigate students' use of AI tools for school assignments, their impressions of how using the tools might affect them cognitively and…
Descriptors: High School Students, Artificial Intelligence, Learner Engagement, Technology Uses in Education
Sarah Levine; Sarah W. Beck; Chris Mah; Lena Phalen; Jaylen PIttman – Journal of Adolescent & Adult Literacy, 2025
Educators and researchers are interested in ways that ChatGPT and other generative AI tools might move beyond the role of "cheatbot" and become part of the network of resources students use for writing. We studied how high school students used ChatGPT as a writing support while writing arguments about topics like school mascots. We…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Writing (Composition)
Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
Namin Shin; Eunyoung Choi; Sejin Chang – Education and Information Technologies, 2024
This research endeavors to introduce a comprehensive scale tailored to gauge high school students' attitudes toward AI-based interviews for university admissions. Moreover, the study delves into the impact of information provisioning on students' attitudes toward AI-based interviews. The participant cohort comprised 604 high school students, who…
Descriptors: High School Students, Student Attitudes, Artificial Intelligence, College Admission
Farbod Aprin; Pascal Peters; H. Ulrich Hoppe – Education and Information Technologies, 2024
Social media usage has become a daily habit for the younger generation. It can have positive effects on educational processes, but it also raises concerns about harmful content, such as fake news or hate speech. Fake news is often distributed with the intention to manipulate the public opinion by propagating disinformation. This includes the…
Descriptors: Foreign Countries, High School Students, Artificial Intelligence, Critical Thinking
Okan Bulut; Tarid Wongvorachan; Surina He; Soo Lee – Discover Education, 2024
Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…
Descriptors: High School Students, Dropouts, Identification, Man Machine Systems
Chelsi V. Kline – ProQuest LLC, 2024
In 2022, generative artificial intelligence (GenAI) chatbots like ChatGPT were released to the public and were rapidly embraced by many. Educational stakeholders are divided about whether to incorporate or ban chatbot usage in classrooms. Student engagement, a meta construct comprised of behavioral, cognitive, affective, and social components, is…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, High School Students
Shiyi Liu; Juan Zheng; Tingting Wang; Zeda Xu; Jie Chao; Shiyan Jiang – AERA Online Paper Repository, 2024
This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Language Arts
Wudhijaya Philuek – Asian Journal of Education and Training, 2024
The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…
Descriptors: Artificial Intelligence, Stress Variables, Depression (Psychology), Academic Achievement
Tolulope Famaye; Cinamon Sunrise Bailey; Ibrahim Adisa; Golnaz Arastoopour Irgens – International Journal of Technology in Education, 2024
The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings…
Descriptors: Artificial Intelligence, High School Students, Technology Uses in Education, Student Attitudes
Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
Barana, Alice; Marchisio, Marina; Roman, Fabio – International Association for Development of the Information Society, 2023
The spread of Artificial Intelligence (AI) has been recently generating worries among teachers and educators about the validity of assessment when students make use of AI tools to solve tasks. To tackle this issue, we propose mathematical problem solving activities to be carried out with the aid of ChatGPT, showing how problem solving and critical…
Descriptors: Artificial Intelligence, Mathematics Instruction, Problem Solving, Critical Thinking
Akmanchi, Suchitra; Bird, Kelli A.; Castleman, Benjamin L. – Annenberg Institute for School Reform at Brown University, 2023
Prediction algorithms are used across public policy domains to aid in the identification of at-risk individuals and guide service provision or resource allocation. While growing research has investigated concerns of algorithmic bias, much less research has compared algorithmically-driven targeting to the counterfactual: human prediction. We…
Descriptors: Academic Advising, Artificial Intelligence, Algorithms, Prediction
Takami, Kyosuke; Flanagan, Brendan; Dai, Yiling; Ogata, Hiroaki – Smart Learning Environments, 2023
In the age of artificial intelligence (AI), trust in AI systems is becoming more important. Explainable recommenders, which explain why an item is recommended, have recently been proposed in the field of learning technology to improve transparency, persuasiveness, and trustworthiness. However, the methods for generating explanations are limited…
Descriptors: Artificial Intelligence, Personality, Cognitive Processes, Public Health
HeeWon Hong; YeonKyoung Kim – Education and Information Technologies, 2024
Career education for students with disabilities during their transition to adulthood is of utmost importance for their career planning and preparation. To implement effective career education for students with disabilities, it is necessary to use technology that provides new learning experiences. This study investigates the impact of an artificial…
Descriptors: Artificial Intelligence, Career Education, Students with Disabilities, Educational Technology