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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
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
Beatriz Chaves-Yuste; Cristina de-la-Peña – TESOL Journal, 2025
Technology, constantly present in current society and education, needs to make use of the most effective digital resources to optimize the teaching-learning process. Despite the growing body of literature on the pedagogical effectiveness of digital resources in a second language (L2) context, limited research has been conducted when working with…
Descriptors: English for Special Purposes, Second Language Instruction, Second Language Learning, Tourism
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
Amasha, Mohamed A.; Abougalala, Rania A.; Reeves, Ahmad J.; Alkhalaf, Salem – Education and Information Technologies, 2018
The main purpose of this study is to investigate the effects of integration of online learning and assessment in synchronization form (OLASF) on students' learning performance. The study seeks to evaluate how the synchronization content with immediate assessment can affect the knowledge performance of the students. An experimental design with…
Descriptors: Online Courses, Computer Assisted Testing, Course Content, Academic Achievement
Fridge, Evorell; Bagui, Sikha – International Journal of Information and Communication Technology Education, 2016
The goal of this research was to investigate the effects of automated testing software on levels of student reflection and student performance. This was a self-selecting, between subjects design that examined the performance of students in introductory computer programming classes. Participants were given the option of using the Web-CAT…
Descriptors: Computer Assisted Testing, Computer Software, Computer Software Evaluation, Reflection
Leckie, George; French, Robert; Charlton, Chris; Browne, William – Journal of Educational and Behavioral Statistics, 2014
Applications of multilevel models to continuous outcomes nearly always assume constant residual variance and constant random effects variances and covariances. However, modeling heterogeneity of variance can prove a useful indicator of model misspecification, and in some educational and behavioral studies, it may even be of direct substantive…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Predictor Variables, Computer Software
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
Fisher-Ari, Teresa; Kavanagh, Kara M.; Martin, Anne – Journal of Education Policy, 2017
Neoliberal discourses defining and measuring "student achievement" and "teacher success" through myopic high-stakes testing-driven criteria for "accountability," can perpetuate the very inequities these reforms purport to address. Nested within a five-year inquiry using grounded theory to investigate experiences of…
Descriptors: Neoliberalism, Grounded Theory, Academic Achievement, Cheating
Izmirli, Serkan; Kurt, Adile Askim – Journal of Educational Computing Research, 2016
The purpose of the study was to examine the effects of instruction given with different multimedia modalities (written text + animation or narration + animation) on the academic achievement, cognitive load, and positive affect in different paces (learner-paced or system-paced); 97 freshmen university students divided into four groups taught in…
Descriptors: Cognitive Processes, Difficulty Level, Academic Achievement, Educational Environment
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Troy, Talbot; Bulgakov-Cooke, Dina – Wake County Public School System, 2013
In 2010-11, Wake County Public School System (WCPSS), North Carolina Department of Public Instruction (NCDPI), and SMART Technologies began a two-year collaboration to promote the use of formative assessment in mathematics classrooms at three Wake County public schools: Millbrook Elementary, East Millbrook Middle, and Millbrook High school. The…
Descriptors: School Districts, Public Schools, Technology Uses in Education, Formative Evaluation
Russell, Michael; Kavanaugh, Maureen; Masters, Jessica; Higgins, Jennifer; Hoffmann, Thomas – Journal of Applied Testing Technology, 2009
Many students who are deaf or hard-of-hearing are eligible for a signing accommodation for state and other standardized tests. The signing accommodation, however, presents several challenges for testing programs that attempt to administer tests under standardized conditions. One potential solution for many of these challenges is the use of…
Descriptors: Testing Programs, Student Attitudes, Standardized Tests, Academic Achievement
Chen, Yao-Hsien; Cheng, Ching-Hsue; Liu, Jing-Wei – Computers & Education, 2010
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…
Descriptors: Feedback (Response), Academic Achievement, Student Evaluation, Grading