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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)
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)
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
Jiawei Huang; Ding Zhou – Education and Information Technologies, 2024
Technological advancements have ushered in a new era of global educational development. Artificial Intelligence (AI) holds the potential to enhance teaching effectiveness and foster educational innovation. By utilizing student posture as a proxy, computer vision technology can accurately gauge levels of student engagement. While previous efforts…
Descriptors: Human Posture, Artificial Intelligence, Educational Technology, Learner Engagement
Zhiqun Ouyang; Yujun Jiang; Huying Liu – International Review of Research in Open and Distributed Learning, 2024
This study, which is quasi-experimental in nature, looks into how language learners' willingness to communicate and engagement in English as a foreign language (EFL) classrooms are affected by Duolingo. The control and experimental groups comprised two complete classes with forty EFL students. To compare learner engagement and communication…
Descriptors: Artificial Intelligence, Information Technology, English (Second Language), Communication Strategies
Liu, Xinyang; Ardakani, Saeid Pourroostaei – Education and Information Technologies, 2022
The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Artificial Intelligence
Zhe Zhang; Ling Xu – Journal of Multilingual and Multicultural Development, 2024
Aided by big-data technology and artificial intelligence, automated writing evaluation (AWE) systems aim to help students engage in self-regulated learning and improve their academic writing in the digital era. While much research on student engagement with AWE systems has been conducted in mainstream classrooms, little attention has been paid to…
Descriptors: Learner Engagement, Feedback (Response), Automation, Student Evaluation
Ting Xiao; Sisi Yi; Shamim Akhter – International Review of Research in Open and Distributed Learning, 2024
The consideration of students' emotional and psychological health is crucial to facilitate effective teaching and grading practices. This study set out to shed light on the interplay between self-esteem (S-E), cognitive-emotion regulation (CER), academic enjoyment (AE), and language success (LS) in artificial intelligence (AI)-supported online…
Descriptors: Artificial Intelligence, Computer Software, Self Esteem, Second Language Learning
Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
Hai Zhang; Zeguo Wang; Shiying Zong; Haochen Wu; Rong Jiang; Yulu Cui; Siwei Li; Hui Luo – Educational Technology & Society, 2024
Artificial intelligence (AI) has seen rapid advancements, establishing itself as a robust tool for fostering accessible teaching and learning environments. Nevertheless, the efficacy of these intelligent learning settings in bolstering the engagement and learning outcomes for students with hearing impairments warrants further investigation. This…
Descriptors: Student Attitudes, Hearing Impairments, Students with Disabilities, Artificial Intelligence
Gong, Jie – Science Insights Education Frontiers, 2022
The Intelligent Research and Training Platform (IRTP) of the National Center for Educational Technology (NECT) is an application designed to integrate AI technology and teacher education in response to the "Artificial Intelligence + Teacher Education" strategy, in order to provide teacher professional development and power the…
Descriptors: Foreign Countries, Minority Group Students, Intelligent Tutoring Systems, Artificial Intelligence
Montebello, Matthew, Ed. – IGI Global, 2020
Education has gone through numerous radical changes as the digital era has transformed the way we as humans communicate, inform ourselves, purchase goods, and perform other mundane chores at home and at work. New and emerging pedagogies have enabled rapid advancements, perhaps too rapidly. It is a challenge for instructors and researchers alike to…
Descriptors: Educational Change, Information Technology, Educational Research, Electronic Learning
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains papers dealing…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, Teaching Methods
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use