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Vafa Savaskan; Nursah Özer – Shanlax International Journal of Education, 2024
The concept of Artificial Intelligence (AI) initially emerged as a term in the field of computer science. In the subsequent years, this concept transcended its origins and became relevant across various domains of human life. Nowadays, it's possible to encounter AI in nearly every aspect of human life. In this context, it's considered noteworthy…
Descriptors: Turkish, Artificial Intelligence, Figurative Language, Preservice Teachers
Andrew Millam; Christine Bakke – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper is part of a multi-case study that aims to test whether generative AI makes an effective coding assistant. Particularly, this work evaluates the ability of two AI chatbots (ChatGPT and Bing Chat) to generate concise computer code, considers ethical issues related to generative AI, and offers suggestions for how to improve…
Descriptors: Coding, Artificial Intelligence, Natural Language Processing, Computer Software
Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
In higher education, generative chatbots have infiltrated teaching and learning. Concerns about how and if to utilize chatbots in the classroom are at the forefront of scholarly discussion. This quick-hit article presents a plan to teach learners about generative AI writing tools and their ethical use for writing purposes. As generative AI tools…
Descriptors: Research Projects, Writing Processes, Writing (Composition), Artificial Intelligence
Gurhan Durak; Serkan Cankaya – Turkish Online Journal of Distance Education, 2024
The main aim of this mixed methods study is to determine the evaluations made by academics on an academic text generated with ChatGPT and get their general views on ChatGPT. The convergent parallel design is utilized where the qualitative and quantitative methods are combined to produce triangulated results. Data were collected via an online form…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, College Faculty
Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
Peer reviewedAndreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Assessing the difficulty of reading comprehension questions is crucial to educational methodologies and language understanding technologies. Traditional methods of assessing question difficulty rely frequently on human judgments or shallow metrics, often failing to accurately capture the intricate cognitive demands of answering a question. This…
Descriptors: Difficulty Level, Reading Tests, Test Items, Reading Comprehension
George Veletsianos; Shandell Houlden; Nicole Johnson – TechTrends: Linking Research and Practice to Improve Learning, 2024
Much of the literature on artificial intelligence (AI) in education imagines AI as a tool in the service of teaching and learning. Is such a one-way relationship all that exists between AI and learners? In this paper we report on a thematic analysis of 92 participant responses to a story completion exercise which asked them to describe a classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Interaction
Xiang Wei; Shuping Sun – International Journal of Information and Communication Technology Education, 2024
To effectively avoid subjective bias in manual evaluation. This article proposes a MIDI piano teaching performance evaluation method based on bidirectional LSTM. This method utilizes a three-layer bidirectional LSTM neural network mechanism to make it easier for the model to capture useful information. In addition, the Spark clustering training…
Descriptors: Musical Instruments, Music Education, Teaching Methods, Educational Technology
Yu Lu; Deliang Wang; Penghe Chen; Zhi Zhang – IEEE Transactions on Learning Technologies, 2024
Amid the rapid evolution of artificial intelligence (AI), the intricate model structures and opaque decision-making processes of AI-based systems have raised the trustworthy issues in education. We, therefore, first propose a novel three-layer knowledge tracing model designed to address trustworthiness for an intelligent tutoring system. Each…
Descriptors: Models, Intelligent Tutoring Systems, Artificial Intelligence, Technology Uses in Education
Amy Hutchison – Reading Teacher, 2024
The recent development of ChatGPT, an artificial intelligence application that mimics human language, has many educators questioning its place in the classroom. This article provides suggestions for instructional uses of ChatGPT in the literacy classroom so that teachers can empower students to use this tool safely and effectively for learning.
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Literacy Education
Carla Quinci – Interpreter and Translator Trainer, 2024
This study combines product- and process-oriented research methods and tools to observe whether and how the presence of pre-translated text affects translation quality and influences the translator's research patterns. It is part of the LeMaTTT project, a simulated longitudinal empirical study exploring the impact of MT on info-mining and thematic…
Descriptors: Artificial Intelligence, Translation, Data Collection, Information Retrieval
Lisa Bradley; Mia Perry; Giovanna Fassetta; Sadie Durkacz Ryan; Elizabeth L. Nelson – Reading Research Quarterly, 2024
Artificial Intelligence (AI) has threatened higher education (HE). In doing so it has granted a portal that makes visible the dominant paradigm that has long defined what "intelligence" is and the narrow set of knowledges and literacies sanctioned for its pursuit. In this paper, we orient our thinking from this clarifying moment, asking:…
Descriptors: Artificial Intelligence, Sustainability, Decolonization, Literacy
Daniel Wildcat – Tribal College Journal of American Indian Higher Education, 2024
The following is offered as only one Indigenous person's perspective--a Yuchi Muscogee tribal member's perspective. Several questions about AI emerge when we consider it through an (not the) Indigenous lens. Where is AI's heart and where is its spirit? Does this complex, fast source of intelligence have feelings or emotions? Does machine-generated…
Descriptors: Artificial Intelligence, Indigenous Populations, Cultural Context, Sustainability
Yongyan Zhao; Jian Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…
Descriptors: Higher Education, MOOCs, Artificial Intelligence, Networks
Mostafa Al-Emran – Interactive Learning Environments, 2024
The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities

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