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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
Alexis Polanco Jr.; Tsai Lu Liu – Journal of Educational Technology Systems, 2024
The process by which user experiences (UX) for children are created is uncertain, especially for deaf and hard of hearing (DHH) children. This paper seeks to (I) describe the origins of UX and child-computer interaction and to describe what is being taught to designers today; (II) use the example of digital assessment to extract insights from…
Descriptors: Design, Deafness, Hearing Impairments, Computer Assisted Testing
Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
Aranka Bijl; Bernard P. Veldkamp; Saskia Wools; Sebastiaan de Klerk – Educational Technology Research and Development, 2024
The systematic literature review (1) investigates whether 'serious games' provide a viable solution to the limitations posed by traditional high-stakes performance assessments and (2) aims to synthesize game design principles for the game-based performance assessment of professional competencies. In total, 56 publications were included in the…
Descriptors: Educational Games, Student Evaluation, Evaluation Methods, High Stakes Tests
Fang, Ying; Roscoe, Rod D.; McNamara, Danielle S. – Grantee Submission, 2023
Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Evaluation Methods
Rodríguez-Villalobos, Martha; Fernandez-Garza, Jessica; Heredia-Escorza, Yolanda – International Journal of Information and Learning Technology, 2023
Purpose: The objective of this study was to compare three distinct methods of test monitoring in the context of distance education--non-proctored remote or online tests, traditional face-to-face proctored tests and remotely proctored tests using software--to analyze if the method in which tests are monitored influences the obtained grades.…
Descriptors: Computer Assisted Testing, Academic Achievement, Distance Education, Computer Software
Pasácková, Jana – Turkish Online Journal of Educational Technology - TOJET, 2023
This paper deals with the results of students during the preparing courses of mathematics for entrance exams at an university. These courses take place every year and since the Covid-19 period, they are not only face-to-face, but also online. The study involves students of secondary schools who apply to the university of economics. This report…
Descriptors: Online Courses, Mathematics Education, College Entrance Examinations, Test Preparation
Barczak, Andre L. C.; Mathrani, Anuradha; Han, Binglan; Reyes, Napoleon H. – Educational Technology Research and Development, 2023
An important course in the computer science discipline is 'Data Structures and Algorithms' (DSA). "The coursework" lays emphasis on experiential learning for building students' programming and algorithmic reasoning abilities. Teachers set up a repertoire of formative programming exercises to engage students with different programmatic…
Descriptors: Computer Assisted Testing, Automation, Computer Science Education, Programming
Shirolkar, Shweta Devendra; Kadam, Rajashri – Education & Training, 2023
Purpose: The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian…
Descriptors: Foreign Countries, Universities, Computer Assisted Testing, Adoption (Ideas)
Stenger, Rachel; Olson, Kristen; Smyth, Jolene D. – Field Methods, 2023
Questionnaire designers use readability measures to ensure that questions can be understood by the target population. The most common measure is the Flesch-Kincaid Grade level, but other formulas exist. This article compares six different readability measures across 150 questions in a self-administered questionnaire, finding notable variation in…
Descriptors: Readability, Readability Formulas, Computer Assisted Testing, Evaluation Methods
Liu, Changyun; Zhang, Dake; Pandolpho, Max; Yi, Julia – Assessment for Effective Intervention, 2023
This study investigated the effectiveness of four Digitalized Interactive Components (DICs) designed based on cognitive principles to accommodate individual differences among students with learning difficulties in geometry during computer-based assessments. The four DICs were annotations (allowing students to make notes on the screen), pop-up…
Descriptors: High School Students, Computer Assisted Testing, Geometry, Secondary School Mathematics
Douglas Yeboah – Cogent Education, 2023
Computer-based test has been administered in e-learning environments as part of ICT integration in education. Recently, online test is gaining attention in both regular and distance education institutions, and students' preference or perception of an online test versus paper-based test is crucial in successful adoption or implementation of either…
Descriptors: Foreign Countries, Undergraduate Students, Test Format, Computer Assisted Testing
Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
Moschella, Jennifer A. – ProQuest LLC, 2023
In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…
Descriptors: Formative Evaluation, Writing Skills, Computer Assisted Testing, Basic Writing

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