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Running out of Time: Leveraging Process Data to Identify Students Who May Benefit from Extended Time
Burhan Ogut; Ruhan Circi; Huade Huo; Juanita Hicks; Michelle Yin – International Electronic Journal of Elementary Education, 2025
This study explored the effectiveness of extended time (ET) accommodations in the 2017 NAEP Grade 8 Mathematics assessment to enhance educational equity. Analyzing NAEP process data through an XGBoost model, we examined if early interactions with assessment items could predict students' likelihood of requiring ET by identifying those who received…
Descriptors: Identification, Testing Accommodations, National Competency Tests, Equal Education
Sandra Camargo Salamanca; Maria Elena Oliveri; April L. Zenisky – International Journal of Testing, 2025
This article describes the 2022 "ITC/ATP Guidelines for Technology-Based Assessment" (TBA), a collaborative effort by the International Test Commission (ITC) and the Association of Test Publishers (ATP) to address digital assessment challenges. Developed by over 100 global experts, these "Guidelines" emphasize fairness,…
Descriptors: Guidelines, Standards, Technology Uses in Education, Computer Assisted Testing
Julian Marvin Jörs; Ernesto William De Luca – Technology, Knowledge and Learning, 2025
The real-time availability of information and the intelligence of information systems have changed the way we deal with information. Current research is primarily concerned with the interplay between internal and external memory, i.e., how much and which forms of cognitively demanding processes we handle internally and when we use external storage…
Descriptors: Ethics, Learning Processes, Technology Uses in Education, Influence of Technology
Priya Harindranathan; James Folkestad; Jemshid K. – Journal of Educational Technology, 2025
Due to the use of online learning platforms and learning management systems, students are now working unsupervised on quiz-taking platforms. These unsupervised online forms of assessment are replacing traditional supervised quizzes in conventional classrooms. It is unclear whether the quiz-taking behaviors of students in these settings align with…
Descriptors: Undergraduate Students, Microbiology, Science Education, Computer Assisted Testing
Sarah N. Shakir; Ashley M. Virabouth; Mallory M. Rice – American Biology Teacher, 2025
Exam anxiety has been well-documented to reduce student performance in undergraduate biology courses, especially for students from marginalized groups, which can contribute to achievement gaps. Our exploratory study surveyed 61 undergraduate biology students to better understand how exams affect their anxiety levels, focusing on the impact of exam…
Descriptors: Undergraduate Students, College Science, Biology, Student Attitudes
Petrilli, Michael J. – Education Next, 2022
In the late 1960s, when federal officials and eminent psychologists were first designing the National Assessment of Educational Progress (NAEP), they probably never contemplated testing students younger than nine. The technology for mass testing at the time--bubble sheets and No. 2 pencils--only worked if students could read the instructions and…
Descriptors: Kindergarten, Student Evaluation, National Competency Tests, Computer Assisted Testing
Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
William Orwig; Emma R. Edenbaum; Joshua D. Greene; Daniel L. Schacter – Journal of Creative Behavior, 2024
Recent developments in computerized scoring via semantic distance have provided automated assessments of verbal creativity. Here, we extend past work, applying computational linguistic approaches to characterize salient features of creative text. We hypothesize that, in addition to semantic diversity, the degree to which a story includes…
Descriptors: Computer Assisted Testing, Scoring, Creativity, Computational Linguistics
Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester – IEEE Transactions on Learning Technologies, 2024
Multiple-choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, owing to the increased digital literacy of students and the advent of social media platforms, MCQ tests are widely shared online, and teachers are continuously challenged to create new questions, which is an…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Construction, Test Items
Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
Mesut Aydemir; Erdem Erdogdu; Hasan Ucar – Turkish Online Journal of Distance Education, 2024
This study targets to investigate the opinions and perceptions of the online and distance learners regarding to online proctored exams. A qualitative case study was employed to explore views of the participants related to the online proctored exam practice. The data were collected from 69 undergraduate distance learners via an online form. A…
Descriptors: Electronic Learning, Student Attitudes, Computer Assisted Testing, Supervision
Stephanie Smith Budhai – Distance Learning, 2024
Online learning has provided pathways for access to flexible educational experiences, but can also feel isolating and impersonal, lacking authentic relationships with instructors and peers. Centering the discussion of humanizing distance education through the lens of three core pedagogical components of teaching and learning (i.e., instruction,…
Descriptors: Humanization, Electronic Learning, Culturally Relevant Education, Teaching Methods
ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics

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