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Ye Ma; Deborah J. Harris – Educational Measurement: Issues and Practice, 2025
Item position effect (IPE) refers to situations where an item performs differently when it is administered in different positions on a test. The majority of previous research studies have focused on investigating IPE under linear testing. There is a lack of IPE research under adaptive testing. In addition, the existence of IPE might violate Item…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Test Items
Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
Rowlett, Peter – International Journal of Mathematical Education in Science and Technology, 2022
A partially-automated method of assessment is proposed, in which automated question setting is used to generate individualized versions of a coursework assignment, which is completed by students and marked by hand. This is designed to be (a) comparable to a traditional written coursework assignment in validity, in that complex and open-ended tasks…
Descriptors: Mathematics Education, College Mathematics, Computer Assisted Testing, Evaluation Methods
Murad, Dina Fitria; Heryadi, Yaya; Isa, Sani Muhamad; Budiharto, Widodo – Education and Information Technologies, 2020
The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are…
Descriptors: Automation, Online Systems, Electronic Learning, Prediction
McGuire, Katherine L. – Journal of Cognition and Development, 2022
Children have traditionally been viewed as less reliable witnesses than are adults. More recently, a concept known as developmental reversals, has brought this view into question. Developmental reversals have demonstrated that in certain contexts, children produce fewer false memories than adults. The primary paradigm used to demonstrate…
Descriptors: Memory, Cognitive Processes, Context Effect, Accuracy
Ali Amjadi – Reading & Writing Quarterly, 2024
Over the last few years, technology has offered new ways of teaching and learning. Accordingly, educational systems are adopting what technology has purveyed to education. The abrupt upsurge of the COVID-19 pandemic also expedited this employment and impelled educational systems to shift to online teaching and learning. Consequently, the offline…
Descriptors: Test Format, Reading Comprehension, Computer Assisted Testing, Reading Strategies
Rutkowski, David; Rutkowski, Leslie; Flores, Charity – Educational Assessment, 2022
As more states move to universal computer-based assessments, an emergent issue concerns the effect that device type might have on student results. Although, several research studies have explored device effects, most of these studies focused on the differences between tablets and desktops/laptops. In the current study, we distinguish between…
Descriptors: Computer Assisted Testing, Computers, Laptop Computers, Handheld Devices
Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
Jacee Cho – Second Language Research, 2024
Using self-paced reading, the present study compared native English and adult L1-Korean-L2-English speakers' processing behaviors during online comprehension of underinformative scalar sentences and non-scalar sentences like "Some/All elephants have trunks and ears." Results indicate that native speakers showed online sensitivity (i.e.…
Descriptors: Native Language, Second Language Learning, Adult Learning, Second Language Instruction
Albano, Anthony D.; McConnell, Scott R.; Lease, Erin M.; Cai, Liuhan – Grantee Submission, 2020
Research has shown that the context of practice tasks can have a significant impact on learning, with long-term retention and transfer improving when tasks of different types are mixed by interleaving (abcabcabc) compared with grouping together in blocks (aaabbbccc). This study examines the influence of context via interleaving from a psychometric…
Descriptors: Context Effect, Test Items, Preschool Children, Computer Assisted Testing
Tai, Joanna; Mahoney, Paige; Ajjawi, Rola; Bearman, Margaret; Dargusch, Joanne; Dracup, Mary; Harris, Lois – Assessment & Evaluation in Higher Education, 2023
As a form of assessment, examinations are designed to determine whether students have met learning outcomes. However, students with disabilities report avoiding examinations, selecting units of study where the assessments align with their strengths. To ensure examinations do not contribute to the systematic exclusion of students with disabilities,…
Descriptors: Students with Disabilities, Inclusion, Student Evaluation, Tests
Hedlefs-Aguilar, Maria Isolde; Morales-Martinez, Guadalupe Elizabeth; Villarreal-Lozano, Ricardo Jesus; Moreno-Rodriguez, Claudia; Gonzalez-Rodriguez, Erick Alejandro – European Journal of Educational Research, 2021
This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios,…
Descriptors: Test Anxiety, Engineering Education, Algebra, College Students
Saracostti, Mahia; Lara, Laura; Miranda-Zapata, Edgardo – Electronic Journal of Research in Educational Psychology, 2019
This technical report describes a web-based platform for assessing school engagement in its three dimensions (emotional, behavioural and cognitive) and the contextual variables which influence engagement (family, teachers and peers). Students answer two questionnaires through the platform. Results are shown online through individual reports on…
Descriptors: Learner Engagement, Context Effect, Computer Assisted Testing, Questionnaires
Costa, Denise Reis; Chen, Chia-Wen – Large-scale Assessments in Education, 2023
Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…
Descriptors: Achievement Tests, Secondary School Students, International Assessment, Foreign Countries
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