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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
Margaret A.L. Blackie – Teaching in Higher Education, 2024
Large language models such as ChatGPT can be seen as a major threat to reliable assessment in higher education. In this point of departure, I argue that these tools are a major game changer for society at large. Many of the jobs we now consider highly skilled are based on pattern recognition that can much more reliably be carried by fine-tuned…
Descriptors: Artificial Intelligence, Synchronous Communication, Science and Society, Evaluation
Melanie Ann Weber; Mia Anzilotti; Reece Gormley; Christina Huber; Alyssa McGarvey; Grace McKee; Claire Ogden; Hannah Seinfeld; Julia Wank; Arnold Olszewski – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: Technology, including educational applications (apps), is commonly used in schools by teachers and speech-language pathologists. Nonetheless, very little research has examined the efficacy of these apps for student learning or how to choose appropriate apps for instruction. Several previous rubrics to evaluate the instructional quality of…
Descriptors: Computer Software, Handheld Devices, Educational Technology, Technology Uses in Education
George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
Irena Miljkovic Krecar; Maja Kolega; Lana Jurcec – IAFOR Journal of Education, 2024
In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Attitudes
Ju Wen; Lan Yi – RELC Journal: A Journal of Language Teaching and Research, 2024
The rapid advancement in video technologies in recent years has made the creating and editing of subtitles for a video increasingly feasible. For a long time, however, the pedagogical potentials of subtitling in language teaching and learning have been neglected. To fill this gap, this technology review introduces "VisualSubSync," a free…
Descriptors: Listening Skills, Teaching Methods, English (Second Language), Second Language Learning
Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
Christopher J. Wagner – Reading Teacher, 2024
Artificial intelligence is the simulation or development of reasoning and other human-like cognitive abilities by computers. Currently, there is limited exploration of applications of artificial intelligence tools for teaching reading to children in the early childhood and elementary grades, including how artificial intelligence might be used to…
Descriptors: Artificial Intelligence, Teaching Methods, Technology Uses in Education, Computer Software
Matthew Boyne – Information Systems Education Journal, 2024
The research sought to study potential efficiency in course design and execution using Constructive Alignment, and then classroom workflow grounded in eduScrum based on the Agile Project Framework of Scrum for graduate classes in managerial analytics. The research measured performance based on the Scrum concept of Velocity, defined as the rate of…
Descriptors: Graduate Study, Data Analysis, Computer Software, Instructional Effectiveness
Konstantinos Michos; Dominik Petko – Technology, Pedagogy and Education, 2024
Digital portfolios offer opportunities for reflection and collaboration in teacher education. However, the affordances of mobile devices have scarcely been explored in this context. A mixed-methods study was conducted wherein 44 student teachers collaboratively used a mobile portfolio app for reflection with peer students and mentors during…
Descriptors: Foreign Countries, Student Teachers, Teacher Interns, Self Efficacy
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Helmiatin; Anto Hidayat; Muhammad Ridwan Kahar – Cogent Education, 2024
Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…
Descriptors: Foreign Countries, State Universities, Artificial Intelligence, Technology Uses in Education
Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
Joko Gunawan; Yupin Aungsuroch; Colleen Marzilli; Nazliansyah; Erni Chaerani; Jed Montayre – SAGE Open, 2024
This study aimed to explore the perspectives of Indonesian nursing students on the utilization of ChatGPT in their learning process. A qualitative descriptive design was conducted among 19 second-year nursing students (age 18-20) who were purposively selected. Data were collected in February 2023 through online (Zoom meetings) and offline…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Nursing Students
Elizabeth Atieno Obura; Peter Imatari Emoit – Africa Education Review, 2024
This article aims to examine the opportunities and challenges of artificial intelligence (AI) in academic writing and research skills. It suggests recommendations that universities can use to develop to enhance the proper use of AI. As many institutions continue to embrace and use AI tools worldwide, questions surrounding its utilisation in the…
Descriptors: Artificial Intelligence, Computer Software, Academic Language, Writing (Composition)

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