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Peer reviewed
Direct linkUto, Masaki; Okano, Masashi – IEEE Transactions on Learning Technologies, 2021
In automated essay scoring (AES), scores are automatically assigned to essays as an alternative to grading by humans. Traditional AES typically relies on handcrafted features, whereas recent studies have proposed AES models based on deep neural networks to obviate the need for feature engineering. Those AES models generally require training on a…
Descriptors: Essays, Scoring, Writing Evaluation, Item Response Theory
Steedle, Jeffrey T.; Cho, Young Woo; Wang, Shichao; Arthur, Ann M.; Li, Dongmei – Educational Measurement: Issues and Practice, 2022
As testing programs transition from paper to online testing, they must study mode comparability to support the exchangeability of scores from different testing modes. To that end, a series of three mode comparability studies was conducted during the 2019-2020 academic year with examinees randomly assigned to take the ACT college admissions exam on…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Scores, Test Format
Abdulhadi Shoufan – ACM Transactions on Computing Education, 2023
With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…
Descriptors: Prior Learning, Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing
Download full textAaron Glasgow; Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2023
This technical report describes the development of oral reading fluency passages for use in the CBMSkills assessment system. Seventeen passages were created for each of Grades 1 through 5. Passages were designed to target the fluency component of a developmental model of reading. All passages were written with the specification to use language and…
Descriptors: Reading Fluency, Oral Reading, Reading Tests, Elementary School Students
Krach, Shelley Kathleen; McCreery, Michael P.; Dennis, Lindsay; Guerard, Jessika; Harris, Erica L. – Psychology in the Schools, 2020
Pearson now uses a technology-based testing platform, Q-Interactive, to administer tests previously available in paper versions. The same norms are used for both versions; Pearson's in-house equivalency studies indicated that both versions are equated. The goal of the current study is to independently evaluate equivalency findings. For the current…
Descriptors: Preschool Children, Computer Assisted Testing, Test Items, Scores
Shinta Estri Wahyuningrum; Gilles van Luijtelaar; Augustina Sulastri; Marc P. H. Hendriks; Ridwan Sanjaya; Tom Heskes – SAGE Open, 2024
Visual Reproduction is a condition to measure Visual Spatial Memory as one of the cognitive domains commonly used to measure visuo-spatial memory. Geometric figures serve as stimulus material, and probands have to reproduce the figures from memory through a hand drawing. The scoring of the drawing has subjective elements. This study aims to…
Descriptors: Automation, Scores, Geometry, Visual Aids
Greg Gaynor; Kevin T. Wynne; Ting Zhang; Daniel Gerlowski; Joel N. Morse – Journal of Economic Education, 2024
The authors of this article examine the effect of online proctoring on exam scores with samples of proctored and unproctored students in an upper-level economics class. They document a proctoring discount (i.e., the tendency for lower scores on proctored exams versus on unproctored exams) and a relationship with students' perceptions measured by…
Descriptors: Computer Assisted Testing, Stress Variables, Economics Education, Online Courses
Kempegowda, Swetha Nagarahalli; Ramachandra, Shobha Chikkavaddaragudi; Arun, Brunda; Devaraju, Abhijith; Shivashankar, Kusuma Kasapura; Raghunathachar, Sahana Kabbathy; Bettadapura, Anjalidevi Shankarrao; Puttalingaiah, Sujatha; Devegowda, Devananda; Vishwanath, Prashant; Nataraj, Suma Maduvanahalli; Prashant, Akila – Biochemistry and Molecular Biology Education, 2023
Online assessments are needed during the prevailing pandemic situation to continue educational activities while ensuring safety. After conducting the online practical assessment (OPrA) in Biochemistry, we analyzed the students' responses. The blueprint of the OPrA was prepared by the faculty, referring to the various levels and domains of Bloom's…
Descriptors: Biochemistry, Science Instruction, Science Tests, Feedback (Response)
Wyse, Adam E.; McBride, James R. – Measurement: Interdisciplinary Research and Perspectives, 2022
A common practical challenge is how to assign ability estimates to all incorrect and all correct response patterns when using item response theory (IRT) models and maximum likelihood estimation (MLE) since ability estimates for these types of responses equal -8 or +8. This article uses a simulation study and data from an operational K-12…
Descriptors: Scores, Adaptive Testing, Computer Assisted Testing, Test Length
Necati Taskin; Kerem Erzurumlu – Asian Journal of Distance Education, 2023
In this study, online test scores and paper-pencil test scores of students studying through online learning were examined. Causal-comparative research was used to determine the distribution of students' test scores and to examine the relationship between them. The participants of the research are freshman students studying in 12 faculties and 8…
Descriptors: Computer Assisted Testing, Scores, Test Format, Paper (Material)
Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
James E. Robinette – ProQuest LLC, 2021
This causal-comparative quantitative study investigated the effects of dual-language immersion programs on reading and math achievement for non-English learner (EL) students that qualify for free/or reduced lunch status. The purpose of the study was to explore if dual-language programs are effective for non-EL students that qualify for free/or…
Descriptors: Bilingual Education, Immersion Programs, Reading Achievement, Mathematics Achievement
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
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
