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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
Miller, Ronald Mellado; Andrade, Maureen Snow – Research & Practice in Assessment, 2020
Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…
Descriptors: Computer Assisted Testing, Higher Education, Multiple Choice Tests, Test Format
White, Jonathon David – Physics Education, 2020
COVID-19 has upset the traditional ways of teaching and looks set to continue to have an impact in the coming years. The situation in Taiwan--partial disruption and then an early return to classes--allows for a comparison of student performance in a conventional teaching and testing environment with the non-contact teaching/testing environment…
Descriptors: Physics, Science Instruction, COVID-19, Pandemics
Taikh, Alexander; Lupker, Stephen J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Considerable research effort has been devoted to investigating semantic priming effects, particularly, the locus of those effects. Semantically related primes might activate their target's lexical representation (through automatic spreading activation at short stimulus onset asynchronies (SOAs), or through generation of words expected to follow…
Descriptors: Semantics, Cues, Priming, Language Processing
Wilhelm-Chapin, Mary K.; Koszalka, Tiffany A. – TechTrends: Linking Research and Practice to Improve Learning, 2020
This study focused on student-content interactions and engagement in an online graduate course. Student descriptions of their experiences and learning processes in relation to digital course resources were examined to understand how and why resources were used. Fourteen students provided detailed explanations of their use and perceived value of…
Descriptors: Graduate Students, Online Courses, Educational Resources, Electronic Publishing
Ng, Emily – International Journal of Adult Education and Technology, 2020
The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…
Descriptors: Nursing Students, Computer Assisted Testing, Student Evaluation, Multiple Choice Tests
Moon, Jung Aa; Sinharay, Sandip; Keehner, Madeleine; Katz, Irvin R. – International Journal of Testing, 2020
The current study examined the relationship between test-taker cognition and psychometric item properties in multiple-selection multiple-choice and grid items. In a study with content-equivalent mathematics items in alternative item formats, adult participants' tendency to respond to an item was affected by the presence of a grid and variations of…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Test Wiseness, Psychometrics
Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
Smith, Chad; Allman, Tamby – Psychology in the Schools, 2020
The purpose of this article is to support members of a student's multidisciplinary team to identify complex factors involved in providing valid classroom-based assessment data, including issues surrounding technology-based assessment for students who are deaf or hard of hearing (DHH). The diversity of this population creates unique challenges in…
Descriptors: Deafness, Hearing Impairments, Student Evaluation, Computer Assisted Testing
Kusairi, Sentot – Journal of Technology and Science Education, 2020
Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific…
Descriptors: Student Evaluation, Formative Evaluation, Feedback (Response), Computer Assisted Testing
Touw, Kirsten W. J.; Vogelaar, Bart; Thissen, Floor; Rovers, Sanne; Resing, Wilma C. M. – British Journal of Educational Psychology, 2020
Background: The need to focus more on children's abilities to change requires new assessment technologies in education. Process-oriented assessment can be useful in this regard. Dynamic testing has the potential to provide in-depth information about children's learning processes and cognitive abilities. Aim: This study implemented a…
Descriptors: Individual Differences, Alternative Assessment, Computer Assisted Testing, Learning Processes
Susanti, Yuni; Tokunaga, Takenobu; Nishikawa, Hitoshi – Research and Practice in Technology Enhanced Learning, 2020
The present study focuses on the integration of an automatic question generation (AQG) system and a computerised adaptive test (CAT). We conducted two experiments. In the first experiment, we administered sets of questions to English learners to gather their responses. We further used their responses in the second experiment, which is a…
Descriptors: Computer Assisted Testing, Test Items, Simulation, English Language Learners
El Rassi, Mary Ann B. – International Association for Development of the Information Society, 2020
Despite the increased research interest on the implementation of Open Book Open Web exams in developed countries, there has been very little systematic studies that investigated the difference in gender experience and the cognitive process that could affect attitude towards OBOW exams compared to the traditional ones in developing countries. This…
Descriptors: Gender Differences, Student Attitudes, Test Format, Computer Assisted Testing
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques

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