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Jussi S. Jauhiainen; Agustin Bernardo Garagorry Guerra – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This article investigates the process of identifying and correcting hallucinations in ChatGPT-4's recall of student-written responses as well as its evaluation of these responses, and provision of feedback. Effective prompting is examined to enhance the pre-evaluation, evaluation, and post-evaluation stages. Background: Advanced Large…
Descriptors: Artificial Intelligence, Student Evaluation, Writing Evaluation, Feedback (Response)
Stouffer, Joe – Reading Teacher, 2021
Responding to recent challenges to Clay's Running Records (2019) and their analysis using a three-cueing system, the author examines this reading assessment from an additive perspective of both bottom-up and top-down orientations of reading instruction. Endorsing their inclusion among classroom reading assessments, the author navigates the tension…
Descriptors: Reading Instruction, Evaluation Methods, Student Evaluation, Reading Fluency
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)
Grace, Christine Cooper – Journal on Excellence in College Teaching, 2018
This article advocates using Leventhal's (1980) justice judgment theory to incorporate distributive and procedural justice into summative assessment of student learning in higher education. It reviews important commonalities between the process of employee performance appraisal in organizations and practices to assess student learning in academe…
Descriptors: Justice, Summative Evaluation, Student Evaluation, College Students
Meng, Yuan-Yuan – Working Papers in TESOL & Applied Linguistics, 2013
Linguistic errors are pervasive in second language (L2) students' writing. Depending on their gravity, the errors may cause a minor degree of irritation to the reader or even lead to total communication breakdown. As such, errors have always been a major concern to both students and teachers, and error correction has also assumed a central…
Descriptors: Written Language, Error Correction, Feedback (Response), Second Language Instruction

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