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Showing 1 to 15 of 18 results Save | Export
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Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
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Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
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Elena Shimanskaya – Foreign Language Annals, 2025
In this study, I compare the accuracy of automatic speech recognition (ASR) transcription against two measures of intelligibility provided by human listeners. The data came from readings of five texts recorded by 15 language learners of French. Human understanding was gauged by (i) asking a group of 36 naïve first language (L1) speakers of French…
Descriptors: Comparative Analysis, French, Second Language Learning, Second Language Instruction
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Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
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Seval Kemal; Aysegül Liman-Kaban – Asian Journal of Distance Education, 2025
This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…
Descriptors: Artificial Intelligence, Secondary School Students, Feedback (Response), Writing Assignments
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Na Liu; Jeferd Saong – International Journal of Education and Literacy Studies, 2025
The study examined the use of the Oral Proficiency Interview (OPI) in assessing Chinese as a second language and the challenges faced by teachers in the Chinese Language Scholarship (CLS) program. The Concurrent Triangulation Mixed Method Research was used in the study in which qualitative and quantitative data are collected simultaneously,…
Descriptors: Chinese, Second Language Learning, Oral Language, Language Proficiency
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Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
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Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
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Junifer Leal Bucol; Napattanissa Sangkawong – Innovations in Education and Teaching International, 2025
This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English (Second Language)
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Reading Matrix: An International Online Journal, 2025
This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI…
Descriptors: Writing Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Rizkiani, Siska – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2021
Professional competence of pre-service English teachers needs to be done to find effective ways in improving their teaching performance, which requires the proper implementation of ICT during online learning. This study aims at investigating the level of professional competence of pre-service English teachers in vocational high school in applying…
Descriptors: Preservice Teachers, Language Teachers, Vocational English (Second Language), Second Language Learning
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Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
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Poth, Cheryl-Anne; Pinto, Dorothy; Howery, Kathy – Canadian Journal of Program Evaluation, 2011
This article describes three challenges encountered during a developmental evaluation and explains how these were addressed from the evaluators' perspective. The evaluation was conducted to support the implementation of a three-year educational technology leadership project funded by the Alberta provincial government. The developmental evaluation…
Descriptors: Evaluators, Program Evaluation, Foreign Countries, Educational Technology
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Kurt, Serhat – Journal of MultiDisciplinary Evaluation, 2012
Background: Turkey is a fast-developing country facing a lot of different problems. One of the problems is inadequate education. A large project was started to improve Turkish elementary education. The project includes many different purposes from physical refurbishment of school buildings, to increasing technology use in education. The author of…
Descriptors: Elementary Education, Democracy, Research Methodology, Foreign Countries
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Jones, Alister; Cowie, Bronwen – Educational Research for Policy and Practice, 2011
This paper will highlight the successful evaluation approaches deployed for long-term exploration of the impact of a national policy initiative as well as some of the results and outcomes. An interactive feedback process informed decision-making at the national and local level thereby enhancing both the initiative and its implementation in…
Descriptors: Foreign Countries, Feedback (Response), Evaluators, Focus Groups
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