Publication Date
In 2025 | 6 |
Since 2024 | 19 |
Since 2021 (last 5 years) | 27 |
Since 2016 (last 10 years) | 29 |
Since 2006 (last 20 years) | 31 |
Descriptor
Artificial Intelligence | 31 |
Learner Engagement | 31 |
Undergraduate Students | 31 |
Technology Uses in Education | 18 |
Foreign Countries | 15 |
Student Attitudes | 15 |
Teaching Methods | 9 |
Academic Achievement | 7 |
Instructional Effectiveness | 7 |
Electronic Learning | 6 |
Technology Integration | 6 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 30 |
Reports - Research | 26 |
Reports - Descriptive | 3 |
Tests/Questionnaires | 3 |
Collected Works - Proceedings | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 31 |
Postsecondary Education | 31 |
Elementary Secondary Education | 1 |
Audience
Teachers | 1 |
Location
China | 6 |
Singapore | 3 |
Australia | 2 |
Turkey | 2 |
Asia | 1 |
Brazil | 1 |
California (Los Angeles) | 1 |
Canada | 1 |
Chile | 1 |
Connecticut | 1 |
Denmark | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Yao Qu; Michelle Xin Yi Tan; Jue Wang – Smart Learning Environments, 2024
The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known about how students from various disciplines engage with GenAI tools. This study explores undergraduate students' GenAI knowledge, usage intentions, and…
Descriptors: Undergraduate Students, Learner Engagement, Technology Uses in Education, Artificial Intelligence
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning
Rachel E. Rolf – Journal of Legal Studies Education, 2025
Experiential learning plays an important role in teaching business law. This paper builds upon prior research regarding the use of experiential learning activities to teach contract law, by adding the use of generative artificial intelligence to a contract simulation activity. As part of a multi-week, in-class simulation, students used generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Contracts, Business Education
Jinfen Xu; Juan Li – European Journal of Education, 2024
Various AI technologies have been extensively introduced in language learning, showing positive impacts on students' learning, especially on their classroom-based engagement. Yet, AI's comprehensive affordances as well as influences across different cohorts of student engagement remain underexplored. Given this, the current study, employing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learner Engagement, English (Second Language)
João Vitor L. B. Nascimento; Jário José Santos; Ig Ibert Bittencourt – International Journal of Artificial Intelligence in Education, 2025
The advancement of technology in education has transformed traditional classrooms into virtual learning environments yet concerns persist about how these technologies may inadvertently perpetuate racial stereotypes. Our study employed a 2 × 2 factorial design, with the first factor being the race of participants (Black, White) and the second…
Descriptors: Racism, Ethnic Stereotypes, Profiles, Anxiety
Max Chen; Yichen Li; Hilson Shrestha; Noe¨lle Rakotondravony; Andrew Teixeira; Lane Harrison; Robert E. Dempski – Journal of Chemical Education, 2024
Industrial and academic laboratories are undergoing a paradigm shift in process technology from batch to modular flow. Implementation of modular flow processes can enable more efficient operation with superior throughput, scalability, and safety factors owing to superior transport and reaction kinetics. However, both fine chemical and…
Descriptors: Chemical Engineering, Chemistry, Undergraduate Students, Science Instruction
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
Shim, Kyong Jin; Menkhoff, Thomas; Teo, Lydia Ying Qian; Ong, Clement Shi Qi – Education and Information Technologies, 2023
In this paper, we empirically examine and assess the effectiveness of a chatbot workshop as experiential teaching and learning tool to engage undergraduate students enrolled in an elective course "Doing Business with A.I." in the Lee Kong Chian School of Business (LKCSB) at Singapore Management University. The chatbot workshop provides…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Workshops, Experiential Learning
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
Alexandra Hain; Sarira Motaref – Journal of STEM Education: Innovations and Research, 2023
The ability to predict spatial elements based on two-dimensional figures, evaluate engineering elements, identify expected deformations, and predict possible failure mechanisms are critical for engineers. However, in applied mechanics courses, many undergraduate engineering students struggle with applying these skills to engineering problems.…
Descriptors: Computer Simulation, Visual Aids, Undergraduate Students, Engineering Education
Kai Guo; Yuchun Zhong; Danling Li; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
This study proposed a novel approach to classroom debates, in which chatbots that are able to engage in argumentative dialogues are adopted to facilitate students' debate preparation. The approach comprised three stages: first, students interacted with a chatbot named Argumate to help them generate ideas; second, students discussed the ideas with…
Descriptors: Foreign Countries, Undergraduate Students, Debate, Persuasive Discourse
Raj Sandu; Ergun Gide; Mahmoud Elkhodr – Discover Education, 2024
Artificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case study approach complemented by a survey, delving into ChatGPT's impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Foreign Countries
Muhammad Farrukh Shahzad; Shuo Xu; Huizheng Liu; Hira Zahid – European Journal of Education, 2025
The rapid advancement of generative artificial intelligence (GAI) and the extensive use of social media have transformed how students engage with educational materials and interact with their peers. Collaborative learning (CL) platforms, empowered by artificial intelligence (AI) algorithms, have gained popularity due to their potential to enhance…
Descriptors: Foreign Countries, Artificial Intelligence, Undergraduate Students, Social Media
Pamela Córdova; Alberto Grájeda; Juan Pablo Córdova; Alejandro Vargas-Sánchez; Johnny Burgos; Alberto Sanjinés – Cogent Education, 2024
This study explored the integration of Artificial Intelligence (AI) tools in finance education, focusing on student perceptions, emotional reactions, and educator experiences. Quantitative data were gathered using the Synthetic Index of Use of AI Tools (SIUAIT) instrument, administered over three semesters. The findings revealed that finance…
Descriptors: Undergraduate Students, Financial Education, Artificial Intelligence, College Faculty
Yi Li; Ghulfam Sadiq; Ghulam Qambar; Pengyu Zheng – Education and Information Technologies, 2025
Integrating ChatGPT into educational contexts has become prevalent due to its potential to revolutionize teaching, learning, and research. However, to ensure positive use, it is necessary to design learning environments that effectively incorporate this technology. This study employed self-determination theory as an undergirding framework to…
Descriptors: Student Research, Independent Study, Undergraduate Students, Correlation