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Yang, Jing – Journal of Advertising Education, 2023
With artificial intelligence (AI) technologies making significant evolutions over the past few years, there is a growing need for advertising students to get familiarized with the different types of AI technologies and explore and experiment with ways to adapt to such changes. This article illustrates the development and implementation of the…
Descriptors: Advertising, Professional Education, Merchandise Information, Course Descriptions
Zhang, Ruofei; Zou, Di; Cheng, Gary – Innovation in Language Learning and Teaching, 2023
EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…
Descriptors: English (Second Language), Second Language Learning, Persuasive Discourse, Writing Instruction
Hai-Feng Li – Australasian Journal of Educational Technology, 2023
In recent decades, flipped learning has been adopted by teachers to improve learning achievement. However, it is challenging to provide all students with instant personalised guidance at the same time. To address this gap, based on Chat Generative Pre-trained Transformer (ChatGPT) and the learning scaffolding theory, I developed a ChatGPT-based…
Descriptors: Flipped Classroom, Artificial Intelligence, Instructional Effectiveness, Technology Uses in Education
Eduardo Santiago-Ruiz – International Journal of Education and Development using Information and Communication Technology, 2023
Mexico faces significant challenges concerning the digital divide and language-related proficiencies. Considering transformative technologies like ChatGPT, it becomes imperative to examine their implications for Mexican universities. This study is situated within the context of campus 095 at the National Pedagogical University (UPN), aiming to…
Descriptors: Foreign Countries, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
Ted M. Clark; Ellie Anderson; Nicole M. Dickson-Karn; Comelia Soltanirad; Nicolas Tafini – Journal of Chemical Education, 2023
Student performance on open-response calculations involving acid and base solutions before and after instruction in general chemistry and analytical chemistry courses was compared with the output from the artificial intelligence chatbot ChatGPT. Applying a theoretical model of expertise for problem solving that includes problem conceptualization,…
Descriptors: Academic Achievement, College Students, College Science, Chemistry
Janice D. Gobert; Michael A. Sao Pedro; Haiying Li; Christine Lott – Grantee Submission, 2023
In this entry, we define Intelligent Tutoring Systems (ITSs) and present a description of their core components. We outline a history of the development of ITSs with a focus on key issues that have driven change and innovation in ITSs from their inception to present day. We also present a brief case study on a specific ITS, Inq-ITS (Inquiry…
Descriptors: Intelligent Tutoring Systems, Student Evaluation, Evaluation Methods, Natural Language Processing
Xue, Kang; Barker, Elizabeth – NWEA, 2022
This study, which is part of a larger project that aims to make online math more accessible to students with visual impairments (VI), examines the text quality of math assessment items for students with VI who use screen readers. Using data from about 29.5 million students taking standard versions of the MAP Growth math assessment, and 48,845…
Descriptors: Distance Education, Online Courses, Mathematics, Visual Impairments
Kiener, Fabienne; Gnehm, Ann-Sophie; Clematide, Simon; Backes-Gellner, Uschi – Journal of Education and Work, 2022
We use vocational training curricula to investigate how IT skills are trained within broader "skills packages" and how these relate to labour market outcomes. Skills packages are the typical combinations of IT skills (e.g., CNC) and technical or nontechnical skills (e.g., material sciences or work safety) that are jointly required in the…
Descriptors: Information Technology, Job Skills, Vocational Education, Labor Market
Shin, Jinnie; Gierl, Mark J. – International Journal of Testing, 2022
Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…
Descriptors: Reading Comprehension, Test Construction, Test Items, Natural Language Processing
Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
Xu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Zuzana Svobodová; Jaroslav Kríž; Jaroslav Veteška – Acta Educationis Generalis, 2024
Introduction: The integration of digital technologies and virtual co-teaching has become a common practice in education. This was accelerated by the COVID-19 pandemic. These innovations play a key role in addressing global challenges and are a response to digital advances to which primary and secondary schools need to adaptively respond. Methods:…
Descriptors: Team Teaching, Instructional Innovation, Teaching Methods, Electronic Learning
Blanka Klimova; Victor Paiva Luz de Campos – Cogent Education, 2024
At present, ChatGPT is penetrating all spheres of human activities, and especially education is no exception. The purpose of this exploratory study is to examine the potentials and pitfalls of using ChatGPT for academic purposes among university students, as well as provide relevant pedagogical implications for its use in academia. The methodology…
Descriptors: Undergraduate Students, Undergraduate Study, Student Attitudes, Artificial Intelligence
Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education

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