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Sang-Gu Kang – Journal of Pan-Pacific Association of Applied Linguistics, 2023
Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in human-written texts. Still, they are not perfect language generators, and this…
Descriptors: Artificial Intelligence, Natural Language Processing, Error Correction, Writing (Composition)
Tuba Satir; Agah Tugrul Korucu – Shanlax International Journal of Education, 2023
The use of artificial intelligence in education is accepted as one of the important discussion topics of the recent period. Artificial intelligence, which can be used actively in all areas of social life, can also be actively used in education. At this point, the relationship between artificial intelligence and education should be evaluated in the…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Evaluation
Barana, Alice; Marchisio, Marina; Roman, Fabio – International Association for Development of the Information Society, 2023
The spread of Artificial Intelligence (AI) has been recently generating worries among teachers and educators about the validity of assessment when students make use of AI tools to solve tasks. To tackle this issue, we propose mathematical problem solving activities to be carried out with the aid of ChatGPT, showing how problem solving and critical…
Descriptors: Artificial Intelligence, Mathematics Instruction, Problem Solving, Critical Thinking
Fu, Wei; Li, Wei; Chen, Boyu; Zhang, Junjie; Xie, Qiong; Zhou, Lu; Zhang, Xuemei – Biochemistry and Molecular Biology Education, 2023
With the emergence of innovative technologies, including combinatorial chemistry, high-throughput screening, computer-aided drug design (CADD), artificial intelligence (AI) and big data, the importance of drug design in the field of drug discovery and development is increasing. Additionally, education in drug design plays an important role in the…
Descriptors: Chemistry, Pharmaceutical Education, Computer Assisted Design, Artificial Intelligence
Jennifer Scoggin; K. Christopher Smith – Chemistry Education Research and Practice, 2023
In this study, we analyzed how general chemistry students generated experimental designs corresponding to general chemistry questions such as the ones typically found in general chemistry textbooks. We found that students were very successful in including experimental design aspects that were explicitly mentioned in the general chemistry…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Computer Software
Cornelia Connolly; Orlaith Hernon; Peter Carr; Hemendra Worlikar; Ian McCabe; Jennifer Doran; Jane C. Walsh; Andrew J. Simpkin; Derek T. O'Keeffe – Computers in the Schools, 2023
Artificial intelligence (AI) technology in professional practice is regarded as the latest disruption to challenge ethical, societal, economic, and educational paradigms. It is becoming a contemporary narrative in our healthcare and educational discourse as it is thought to improve decision-making, education, patient care, and service delivery. If…
Descriptors: Artificial Intelligence, Health Services, Medical Education, Technology Integration
Gary J. Ockey; Evgeny Chukharev-Hudilainen; R. Roz Hirch – Language Assessment Quarterly, 2023
Most second language assessment researchers agree that interactional competence (IC) is an important part of the construct of oral communication. However, measurement of IC has proven challenging because at least one interlocutor is considered necessary to create an appropriate social context for test takers to demonstrate their IC. Including…
Descriptors: Speech Communication, Speech Tests, Communicative Competence (Languages), Second Languages
Gellai, Dániel Béla – ECNU Review of Education, 2023
Purpose: There is limited scholarship on artificial intelligence (AI) in higher education governance, despite the growing prevalence of AI-powered technologies in many fields, including education. However, as the technology is still nascent and has yet to reach its full potential, ideas and arguments abound, championing or cautioning against the…
Descriptors: Artificial Intelligence, Higher Education, Governance, Technology Uses in Education
Tschisgale, Paul; Wulff, Peter; Kubsch, Marcus – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical Examination.] Qualitative research methods have provided key insights in physics education research (PER) by drawing on non-numerical data such as text or video data. While different methods towards qualitative research exist, they share two essential steps:…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Grounded Theory
Reed, Janet; Alterio, Brittany; Coblenz, Hannah; O'Lear, Taylor; Metz, Tomek – Journal of Interactive Learning Research, 2023
Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…
Descriptors: Nursing Education, Artificial Intelligence, Undergraduate Students, Teaching Methods
Annalisa L. Raymer; David Nelson – American Association for Adult and Continuing Education, 2023
The Community Learning and Service Partnership (CLASP) being named the recipient of the Malcolm Knowles Award prompts retrospection and raises the question of what to present at the American Association for Adult and Continuing Education (AAACE) conference. What is the overarching narrative of CLASP? Given the international and intergenerational…
Descriptors: Awards, Service Learning, Partnerships in Education, Artificial Intelligence
Chelsea M. Parlett-Pelleriti; Elizabeth Stevens; Dennis Dixon; Erik J. Linstead – Review Journal of Autism and Developmental Disorders, 2023
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Classification, Supervision
The Platformization of Writing Instruction: Considering Educational Equity in New Learning Ecologies
Amy Stornaiuolo; Jennifer Higgs; T. Philip Nichols; Robert Jean Leblanc; Roberto Santiago de Roock – Review of Research in Education, 2023
This chapter provides a systematic review of research published between 2006 and 2022 on the use of artificial intelligence (AI) platforms in writing instruction. We theorize writing and platforms as complex ecologies, investigating the interplay of their relations and implications for educational equity. Our findings suggested three functional…
Descriptors: Writing Instruction, Artificial Intelligence, Technology Uses in Education, Equal Education
Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Neil Heffernan – Society for Research on Educational Effectiveness, 2023
Background: Randomized controlled trials (RCTs) give unbiased estimates of average effects. However, positive effects for the majority of students may mask harmful effects for smaller subgroups, and RCTs often have too small a sample to estimate these subgroup effects. In many RCTs, covariate and outcome data are drawn from a larger database. For…
Descriptors: Learning Analytics, Randomized Controlled Trials, Data Use, Accuracy
Alfredo J. Leon; Dinesh Vidhani – Journal of Chemical Education, 2023
Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…
Descriptors: Artificial Intelligence, Educational Technology, Program Effectiveness, Prompting

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