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Jia Tracy Shen – ProQuest LLC, 2023
In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…
Descriptors: Artificial Intelligence, Electronic Learning, Data, Generalization
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
Anita L. Campbell – International Journal of Mathematical Education in Science and Technology, 2023
Students that classify as having growth mindsets rather than fixed mindsets enjoy greater academic success. This finding has been repeated in a variety of contexts and encourages teachers and researchers to develop growth mindsets in students. However, neutral and negative conclusions from some mindset intervention studies raise questions about…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Research Universities
Sally A. Sherman; Chelsea Cameron; Ron Nichols – Journal of Physical Education, Recreation & Dance, 2023
By integrating Howard Gardner's theory of multiple intelligences (MI theory) into health and wellness education, we can honor student uniqueness, promote inclusivity in the learning space, and increase the adoption of positive health behaviors. The MI theory proposes that every individual possesses unique strengths and weaknesses for learning that…
Descriptors: Multiple Intelligences, Wellness, Health Promotion, Inclusion
Quan Yuan; Lin Lv; Yolanda Cordero – International Journal of Web-Based Learning and Teaching Technologies, 2023
Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the "three-dimensional, small-scale, wide-ranging, and large-scale ecology." The…
Descriptors: Law Schools, Legal Education (Professions), Graduate Students, Data
Chunye Zhang; Tianyue Yu; Yingqi Gao; Mau Luen Tham – International Journal of Web-Based Learning and Teaching Technologies, 2023
In the context of artificial intelligence, the use of machine translation in English reading classroom teaching is a more common learning method. In traditional teaching methods, machine translation is more convenient and faster than human translation, but it often deviates from the original text in terms of grammar and sentence pattern. Based on…
Descriptors: Artificial Intelligence, Translation, English (Second Language), Computational Linguistics
Marrone, Rebecca; Cropley, David H.; Wang, Z. – Creativity Research Journal, 2023
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the "fitness-for-purpose" of creativity tests has recently come under scrutiny. Current creativity…
Descriptors: Automation, Evaluation Methods, Creative Thinking, Mathematics Education
Toyokawa, Yuko; Horikoshi, Izumi; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…
Descriptors: Barriers, Affordances, Artificial Intelligence, Inclusion
Mohammed A. Al-Sharafi; Mostafa Al-Emran; Mohammad Iranmanesh; Noor Al-Qaysi; Noorminshah A. Iahad; Ibrahim Arpaci – Interactive Learning Environments, 2023
Artificial intelligence (AI)-based chatbots have received considerable attention during the last few years. However, little is known concerning what affects their use for educational purposes. This research, therefore, develops a theoretical model based on extracting constructs from the expectation confirmation model (ECM) (expectation…
Descriptors: Knowledge Management, Sustainability, Artificial Intelligence, Technology Uses in Education
Tim Humphry; Amy L. Fuller – Journal of Chemical Education, 2023
ChatGPT is a brand new, free AI chatbot that has the potential to produce a seismic shift in chemistry education, especially in written lab reports. An example is explored in which ChatGPT is used to write the discussion portion of a lab report. Ways to detect the use of ChatGPT are also discussed.
Descriptors: Artificial Intelligence, Natural Language Processing, Undergraduate Students, Chemistry
Blaik, Rida; Litz, David; Ali, Nagla; Azaza, Mohamed; Parkman, Scott – Leadership and Policy in Schools, 2023
School leaders worldwide face challenges in dealing with equity, inclusion, and coexistence because of various global forces. This quantitative study investigated the relationships between emotional intelligence dimensions (EIDs) and professional performance standards (PPS) of Abu Dhabi public school leaders dealing with the changing times of…
Descriptors: Emotional Intelligence, Capacity Building, Educational Improvement, Standards
An Expectancy Value Theory (EVT) Based Instrument for Measuring Student Perceptions of Generative AI
Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
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
Elif Ece Er; Muhammet Demirbilek – International Society for Technology, Education, and Science, 2023
In today's technology, there are rapid advances in the field of artificial intelligence. With the increasing involvement of artificial intelligence in daily activities, great changes are taking place in our habits. At this point, the necessity of educating students in accordance with the age of artificial intelligence emerges. Students'…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Student Attitudes
Mazlina Abdul Majid; Husnul Ajra; Mohammad Adam Ibrahim Fakhreldin; Md. Shohidul Islam; Khalid Adam Ismail Hammad – International Society for Technology, Education, and Science, 2023
One of the most persuasive technologies in developing universities' smart campus applications is the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastructure is exacerbating security challenges. Moreover,…
Descriptors: Educational Technology, Technology Uses in Education, Computer Security, Technological Literacy

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