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What Works Clearinghouse Rating
Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
Claudia M. König; Christin Karrenbauer; Michael H. Breitner – International Journal of Educational Technology in Higher Education, 2024
Increasing student numbers, heterogeneity and individual biographies lead to a growing need for personalized support. To meet these challenges, an Individual Digital Study Assistant (IDSA) provides features to help students improve their self-regulation and organizational skills to achieve individual study goals. Based on qualitative expert…
Descriptors: Foreign Countries, College Students, Individualized Instruction, Learning Management Systems
Jorge Carlos Sanabria-Zepeda; Pamela Geraldine Olivo-Montaño; Inna Artemova; Amadeo José Argüelles-Cruz – Journal of Technology and Science Education, 2024
This study proposes a narrative pedagogical model for creating and developing case studies that highlight the challenges and issues surrounding the megatrends of the Fourth Industrial Revolution, specifically "People and the Internet." This proposal, framed in an online learning environment, represents the second stage of an educational…
Descriptors: Educational Trends, Trend Analysis, Artificial Intelligence, Technology Uses in Education
Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Qi An – Education and Information Technologies, 2024
The importance of using innovative technologies in modern education is continuously growing. This paper examines the influence of intelligent painting systems (IPS) on student self-efficacy and involvement. The conducted study involved 234 students from the Guangzhou Academy of Fine Arts. An experimental approach was used to ensure scientific…
Descriptors: Foreign Countries, College Students, Art Education, Painting (Visual Arts)
Yiwen Lin; Nia Nixon – International Journal of Artificial Intelligence in Education, 2024
The COVID-19 pandemic disrupted teaching and learning activities in higher education around the world. As universities shifted to remote instruction in response to the pandemic, it is important to learn how students engaged in learning during this challenging period. In this paper, we examined the changes in learners' social and cognitive presence…
Descriptors: COVID-19, Pandemics, Electronic Learning, Student Attitudes
Aminah Saad Aldossary; Alia Abdullah Aljindi; Jamilah Mohammed Alamri – Contemporary Educational Technology, 2024
Purpose: This study aims to provide an analysis of students' perceptions of the role of generative artificial intelligence (GenAI) tools in education, through five axes: (1) level of knowledge and awareness, (2) level of acceptance and readiness, (3) the role of GenAI in education, (4) level of awareness of potential concerns and challenges, and…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Knowledge Level
Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation
Joseph Crawford; Kelly-Ann Allen; Bianca Pani; Michael Cowling – Studies in Higher Education, 2024
Artificial intelligence (AI) may be the new-new-norm in a post-pandemic learning environment. There is a growing number of university students using AI like ChatGPT and Bard to support their academic experience. Much of the AI in higher education research to date has focused on academic integrity and matters of authorship; yet, there may be…
Descriptors: College Students, Artificial Intelligence, Intelligent Tutoring Systems, Interpersonal Relationship
Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Yipeng Zhao; Yan Li; Yuyao Xiao; Haodong Chang; Bo Liu – SAGE Open, 2024
The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Jinhee Kim; Seongryeong Yu; Rita Detrick; Na Li – Education and Information Technologies, 2025
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
Chang, Hui-Tzu; Lin, Chia-Yu; Wang, Li-Chun; Tseng, Fang-Ching – Educational Technology & Society, 2022
In this study, we built a personalized hybrid course recommendation system (PHCRS) that considers students' interests, abilities and career development. To meet students' individual needs, we adopted the five most widely used algorithms, including content-based filtering, popularity-based methods, item-based collaborative filtering, user-based…
Descriptors: Course Selection (Students), Blended Learning, Artificial Intelligence, Mathematics