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Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2016
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Reading Strategies, Content Area Writing
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Ching-Yi Chang; Chin-Lan Yang; Hsiu-Ju Jen; Hiroaki Ogata; Gwo-Haur Hwang – Educational Technology & Society, 2024
Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT…
Descriptors: Nursing Education, Health Education, Artificial Intelligence, Technology Uses in Education
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Jorge Sanabria-Z; Berenice Alfaro-Ponce; Amadeo Argüelles-Cruz; Maria Soledad Ramírez-Montoya – Computers in the Schools, 2023
Emerging Artificial Intelligence-enhanced technology platforms in education warrant attention to exploring new learning strategies and dynamics. Keeping up with the accelerating momentum to bring classic traditional learning activities to Artificial Intelligence-supported platforms may unbalance the interest in developing the participants'…
Descriptors: Artificial Intelligence, Difficulty Level, Thinking Skills, Evaluation Utilization
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Yang, Jing – Journal of Advertising Education, 2023
With artificial intelligence (AI) technologies making significant evolutions over the past few years, there is a growing need for advertising students to get familiarized with the different types of AI technologies and explore and experiment with ways to adapt to such changes. This article illustrates the development and implementation of the…
Descriptors: Advertising, Professional Education, Merchandise Information, Course Descriptions
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Cheng, Li; Umapathy, Karthikeyan; Rehman, Muhammad; Ritzhaupt, Albert; Antonyan, Kristine; Shidfar, Poorya; Nichols, James; Lee, Minyoung; Abramowitz, Brian – Journal of Interactive Learning Research, 2023
The purpose of this research study is to design, develop, and validate an instrument for measuring undergraduate students' conceptions of artificial intelligence in education. Following systematic procedures, our team created a conceptual framework through an extant literature review and used it to create an initial item pool of 48-items across…
Descriptors: Undergraduate Students, Knowledge Level, Artificial Intelligence, Technology Uses in Education
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Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
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Linda Alkhawaja – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Despite its controversial nature, machine translation (MT) has been increasingly integrated into learning in the past decade. This controversy arises from two different beliefs. While some believe that MT negatively impacts students' language proficiency, others argue that it allows students to stay abreast of technological advancements. Despite…
Descriptors: Artificial Intelligence, Educational Technology, Classroom Environment, Translation
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Chutiporn Anutariya Ed.; Dejian Liu Ed.; Kinshuk Ed.; Ahmed Tlili Ed.; Junfeng Yang Ed.; Maiga Chang Ed. – Lecture Notes in Educational Technology, 2023
This book collects the proceedings of the 7th International Conference on Smart Learning Environments (ICSLE2023), held in Bangkok, Thailand, as a hybrid conference from 31st Aug to 1st Sep 2023. The proceedings focus on the interplay between pedagogy and technology, and their fusion towards the advancement of smart learning for a sustainable…
Descriptors: Educational Technology, Electronic Learning, Sustainability, Student Satisfaction
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Bosman, Lisa; Kotla, Bhavana; Madamanchi, Aasakiran; Bartholomew, Scott; Byrd, Vetria – European Journal of Engineering Education, 2023
Artificial intelligence (AI) is a rapidly developing field with growing importance in engineering, mainly as it serves to better understand and manipulate big data. However, the literature is sparse on how to educate engineers on the use of AI applications. For many years, a role-playing simulation known as the 'Beer Distribution Game' has been a…
Descriptors: Entrepreneurship, Engineering Education, Labor Force Development, Artificial Intelligence
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Lin, Chun-Hung; Yu, Chih-Chang; Shih, Po-Kang; Wu, Leon Yufeng – Educational Technology & Society, 2021
This article describes STEM education with artificial intelligence (AI) learning, particularly for non-engineering undergraduate students. In the designed three-week learning activities, students were encouraged to put their ideas about AI into practice through two hands-on activities, utilizing a provided deep learning-based web service. This…
Descriptors: STEM Education, Artificial Intelligence, General Education, Nonmajors
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Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
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Abdelwahab, Hanna Rahma; Rauf, Abdul; Chen, Dadi – Industry and Higher Education, 2023
The application of artificial intelligence (AI) brings new demand to the job market. The concern now is whether higher education institutions (HEIs) have adequately prepared young learners to work in an AI work environment. This research seeks to explore business students' perceptions of their HEIs in the Netherlands in preparing them for AI work…
Descriptors: Business Education, Work Environment, Artificial Intelligence, Student Attitudes
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Liou, Ru-Shiun; Nisar, Shaista; Lee, Kevin; Dixon, Deirdre; Pennington, Julie – Journal of Teaching in International Business, 2021
In light of diverse designs of the international business (IB) curriculum, this study investigates how the IB curriculum that requires students to major in a functional area enhances students' cultural intelligence as well as differentiates the effect of students' study abroad experience above and beyond various functional IB courses. By…
Descriptors: Cultural Awareness, International Trade, Business Administration Education, Majors (Students)
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Santosh Mahapatra – Smart Learning Environments, 2024
This paper presents a study on the impact of ChatGPT as a formative feedback tool on the writing skills of undergraduate ESL students. Since artificial intelligence-driven automated writing evaluation tools positively impact students' writing, ChatGPT, a generative artificial intelligence-propelled tool, can be expected to have a more substantial…
Descriptors: Artificial Intelligence, English (Second Language), Writing Skills, Academic Language
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Chaudhry, Iffat Sabir; Sarwary, Sayed Ahmad M.; El Refae, Ghaleb A.; Chabchoub, Habib – Cogent Education, 2023
Artificial intelligence-based tools are rapidly revolutionizing the field of higher education, yet to be explored in terms of their impact on existing higher education institutions' (HEIs) practices adopted for continuous learning improvement, given the sparsity of the literature and empirical experiments in undergraduate degree programs. After…
Descriptors: Case Studies, Artificial Intelligence, Outcomes of Education, Instructional Effectiveness
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