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Maarten T. P. Beerepoot – Journal of Chemical Education, 2023
Digital automated assessment is a valuable and time-efficient tool for educators to provide immediate and objective feedback to learners. Automated assessment, however, puts high demands on the quality of the questions, alignment with the intended learning outcomes, and the quality of the feedback provided to the learners. We here describe the…
Descriptors: Formative Evaluation, Summative Evaluation, Chemistry, Science Instruction
Steven M. Urdegar – Office of Assessment, Research, and Data Analysis, Miami-Dade County Public Schools, 2023
i-Ready is an English Language Arts (ELA) and mathematics instructional program for Grades K-8 students featuring an individualized plan for instruction based on each student's performance on an online, computer-adaptive diagnostic assessment. Once students complete the diagnostic assessment, i-Ready builds a unique lesson plan with a…
Descriptors: Language Arts, English Instruction, Mathematics Instruction, Elementary School Mathematics
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
Rebecca Hallman Martini – Writing Center Journal, 2023
Despite their history of marginalization, writing centers need to be spaces where consultants, writers, and administrators act with agency. This requires both knowing when and how to act, as well as deciding when to yield. In challenging policies of seeming neutrality, I argue in this manuscript that writing center practitioners can center the…
Descriptors: Writing Instruction, Writing (Composition), Laboratories, Writing Teachers
Sinharay, Sandip – Educational and Psychological Measurement, 2022
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests.…
Descriptors: Mastery Tests, Computer Assisted Testing, Probability, Test Wiseness
Azizi, Zeinab – Language Testing in Asia, 2022
Although fairness in assessment practices (APs) in traditional classes has gained noticeable attention in recent years, it has remained unexplored in online education (OE). Thus, this study explores Iranian university English teachers' perceptions of fair APs in OE. For this purpose, 21 university English teachers from Lorestan University and…
Descriptors: Justice, Computer Assisted Testing, Electronic Learning, Distance Education
Pleasants, Jacob; Pleasants, John M.; Pleasants, Barbara P. – Online Learning, 2022
As online courses become increasingly common at the college level, an ongoing concern is how to ensure academic integrity in the online environment. One area that has received particular attention is that of preventing cheating during unproctored online exams. In this study, we examine students' behavior during unproctored exams taken in an online…
Descriptors: Online Courses, Cheating, Computer Assisted Testing, Student Behavior
LaFlair, Geoffrey T.; Langenfeld, Thomas; Baig, Basim; Horie, André Kenji; Attali, Yigal; von Davier, Alina A. – Journal of Computer Assisted Learning, 2022
Background: Digital-first assessments leverage the affordances of technology in all elements of the assessment process--from design and development to score reporting and evaluation to create test taker-centric assessments. Objectives: The goal of this paper is to describe the engineering, machine learning, and psychometric processes and…
Descriptors: Computer Assisted Testing, Affordances, Scoring, Engineering
Branch, Fallon; Williams, K. Matthew; Santana, Isabella Noel; Hegdé, Jay – Cognitive Research: Principles and Implications, 2022
Many studies have shown that using a computer-aided detection (CAD) system does not significantly improve diagnostic accuracy in radiology, possibly because radiologists fail to interpret the CAD results properly. We tested this possibility using screening mammography as an illustrative example. We carried out two experiments, one using 28…
Descriptors: Radiology, Allied Health Personnel, Assistive Technology, Clinical Diagnosis
Yildirim, Ibrahim; Çirak-Kurt, Sevilay – International Journal of Contemporary Educational Research, 2022
The emergent COVID-19 pandemic in Wuhan, China, at the end of 2019 has affected the whole world in a short time. Therefore, schools have been closed worldwide, and online learning opportunities have been exploited. Although lessons are taught online, problems have been experienced about measuring and evaluating lessons. This quasi-experimental…
Descriptors: Scores, Evaluation Methods, Computer Assisted Testing, Academic Achievement
Agmon, Galit; Loewenstein, Yonatan; Grodzinsky, Yosef – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Negated sentences are known to be more cognitively taxing than positive ones (i.e., "polarity effect"). We present evidence that two factors contribute to the polarity effect in verification tasks: processing the sentence and verifying its truth value. To quantify the relative contribution of each, we used a delayed verification task.…
Descriptors: Sentence Structure, Task Analysis, Language Processing, Short Term Memory
Daminda Kuruppu, Kuruppu Achchige Dulani – International Journal of Educational Reform, 2022
The objective of this study was to outline the education reform approaches which could implement during online teaching and learning activities. The approaches consisted with online teaching, online mentoring /student induction programmes, online examinations and online guest lectures/webinars. The approaches practiced, were discussed in activity…
Descriptors: Educational Change, Interaction, Engineering Education, Distance Education
Reactivation of Learned Reward Association Reduces Retroactive Interference from New Reward Learning
Huang, Zhibang; Li, Sheng – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Learning to associate specific objects with value contributes to the human's adaptive behavior. However, the intrinsic nature of associative memory posits a challenge that newly learned associations may interfere with the old ones if they share common features (e.g., a reward). In the present study, we conducted a set of behavioral experiments and…
Descriptors: Rewards, Interference (Learning), Associative Learning, Memory
Pourdana, Natasha – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Diagnostic assessment (DIA) is under-researched in second/foreign language education despite its common practice across a wide range of professions such as medicine, mechanics, and information technology. This study aimed at exploring the impact of computer-assisted DIA on the sustainable improvement of English-as-a-Foreign-Language (EFL)…
Descriptors: English (Second Language), Second Language Learning, Student Evaluation, Computer Assisted Testing