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Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
Suto, Irenka; Williamson, Joanna; Ireland, Jo; Macinska, Sylwia – Research Papers in Education, 2023
Errors that occasionally manifest in examination papers and other educational assessment instruments can threaten reliability and validity. For example, a multiple choice question could have two correct response options, or a geography question containing an inaccurate map could be unanswerable. In this paper we explore this oft-neglected element…
Descriptors: Error Patterns, International Assessment, Test Construction, Failure
Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
Nguyen, Huy; Liew, Chun Wai – International Educational Data Mining Society, 2018
Recent works on Intelligent Tutoring Systems have focused on more complicated knowledge domains, which pose challenges in automated assessment of student performance. In particular, while the system can log every user action and keep track of the student's solution state, it is unable to determine the hidden intermediate steps leading to such…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Data Analysis, Error Patterns
Reed, Jolene B.; Kellum, Marcia L. – Texas Association for Literacy Education Yearbook, 2017
Running records are not regularly utilized to their full potential by classroom teachers. Often, teachers use running records only to determine an instructional text level for an individual student and then to place students into reading groups for instructional purposes based on student reading levels. When more thoroughly analyzed, running…
Descriptors: Literacy Education, Data Use, Decision Making, Teaching Methods
Otto, Ana – Latin American Journal of Content and Language Integrated Learning, 2018
Assessment is one of the most contested topics in Content and Language Integrated Learning (CLIL) because of the duality between content and language, and the lack of official guidelines and research on this matter. Furthermore, as CLIL is an umbrella term portraying different realities, it is essential to consider the educational contexts in…
Descriptors: Course Content, Language of Instruction, Second Language Learning, Second Language Instruction
Matsuda, Noriyuki; Ogawa, Hisashi; Hirashima, Tsukasa; Taki, Hirokazu – Research and Practice in Technology Enhanced Learning, 2015
Background: Erroneous answers in multiple-answer problems not only make the correct answer harder to determine but also indicate why the correct choice is suitable and the erroneous one a mistake when compared to the correct answer. However, it is insufficient to simply create erroneous answers for this purpose: explanations of these answers are…
Descriptors: Multiple Choice Tests, Problem Solving, Error Patterns, Student Evaluation
Boaler, Jo; Anderson, Robin – Democracy & Education, 2018
In this response, we consider the Rights of Learners, in particular considering the ways "assessment for learners" policies and practices may be woven into the rights. We also consider findings from neuroscience on the positive role played by mistakes and suggest adding such findings to the messages given in classrooms. [For "The…
Descriptors: Student Rights, Student Evaluation, Formative Evaluation, Mathematics Education
Caputi, Peter; Chan, Amy; Jayasuriya, Rohan – British Journal of Educational Technology, 2011
This paper examined the impact of training strategies on the types of errors that novice users make when learning a commonly used spreadsheet application. Fifty participants were assigned to a counterfactual thinking training (CFT) strategy, an error management training strategy, or a combination of both strategies, and completed an easy task…
Descriptors: Spreadsheets, Training Methods, Transfer of Training, Student Evaluation
Frame, Laura B.; Vidrine, Stephanie M.; Hinojosa, Ryan – Journal of Psychoeducational Assessment, 2016
The Kaufman Test of Educational Achievement, Third Edition (KTEA-3) is a revised and updated comprehensive academic achievement test (Kaufman & Kaufman, 2014). Authored by Drs. Alan and Nadeen Kaufman and published by Pearson, the KTEA-3 remains an individual achievement test normed for individuals of ages 4 through 25 years, or for those in…
Descriptors: Achievement Tests, Elementary Secondary Education, Test Validity, Test Reliability
Foorman, Barbara R.; Kershaw, Sarah; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2013
Florida requires that students who do not meet grade-level reading proficiency standards on the end-of-year state assessment (Florida Comprehensive Assessment Test, FCAT) receive intensive reading intervention. With the stakes so high, teachers and principals are interested in using screening or diagnostic assessments to identify students with a…
Descriptors: Reading Comprehension, At Risk Students, Reading Skills, Reading Difficulties
Liben, Lynn S.; Kastens, Kim A.; Christensen, Adam E. – Cognition and Instruction, 2011
To study the role of spatial concepts in science learning, 125 college students with high, medium, or low scores on a horizontality (water-level) spatial task were given information about geological strike and dip using existing educational materials. Participants mapped an outcrop's strike and dip, a rod's orientation, pointed to a distant…
Descriptors: Student Evaluation, Error Patterns, Spatial Ability, Teaching Methods
Schochet, Peter Z.; Chiang, Hanley S. – National Center for Education Evaluation and Regional Assistance, 2010
This paper addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using realistic performance measurement system schemes based on hypothesis testing, we develop error rate formulas based on OLS and Empirical Bayes estimators.…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Student Evaluation, Scores
Peer reviewedSanger, Michael J. – Journal of Chemical Education, 2005
A total of 156 students were asked to provide free-response balanced chemical equations for a classic multiple-choice particulate-drawing question first used by Nurrenbern and Pickering. The balanced equations and the number of students providing each equation are reported in this study. The most common student errors included a confusion between…
Descriptors: Equations (Mathematics), Chemistry, Concept Formation, Student Evaluation
Peer reviewedHuer, Mary Blake – Journal of Speech and Hearing Disorders, 1989
The study evaluated the usefulness of acoustic tracking as a supplement to perceptual judgments during remediation of articulation errors with a 10-year-old. Analysis of temporal and spectral characteristics of recorded imitations of sentence stimuli were compared with perceptual judgments of articulatory change over a 70-day remediation period…
Descriptors: Articulation Impairments, Audiotape Recordings, Case Studies, Elementary Education
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