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Mooney, Paul; Lastrapes, Renée E. – Assessment for Effective Intervention, 2020
We conducted conceptual replications for an online-administered general outcome measure known as critical content monitoring in science. Totally, 547 Grades 4 to 6 students from a rural Louisiana school district participated. Research questions addressed criterion validity, diagnostic accuracy, growth, and social validity concerns. Criterion…
Descriptors: Elementary School Students, Outcome Measures, Science Tests, Outcomes of Education
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Duxbury, Theodore; Bradshaw, Karen; Khamanga, Sandile; Tandlich, Roman; Srinivas, Sunitha – Applied Environmental Education and Communication, 2020
To increase individual and communal environmental health awareness through an experiential-education project. A computer-based pre- and postintervention quiz; an educational poster; an interactive board game; and a take-home information leaflet were utilized for a school learners-centered health promotion exhibit at a National Science Festival in…
Descriptors: Experiential Learning, Foreign Countries, Intervention, Natural Resources
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
New York State Education Department, 2020
The instructions in this manual explain the responsibilities of school administrators for the New York State Testing Program (NYSTP) Grades 3-8 English Language Arts and Mathematics Tests. School administrators must be thoroughly familiar with the contents of the manual, and the policies and procedures must be followed as written so that testing…
Descriptors: Testing Programs, Mathematics Tests, Test Format, Computer Assisted Testing
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Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
Al-Jarf, Reima – Online Submission, 2022
At Saudi universities, there was a sudden shift from face-to-face instruction to distance learning and assessment in March 2020 due to the COVID-19 Pandemic. This study explored the status of online exams in language, linguistics, and translation courses in the first two semesters of the Pandemic (Spring 2020 and Fall 2020). Analysis of faculty…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Foreign Countries
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Wang, Shiyu; Yang, Yan; Culpepper, Steven Andrew; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2018
A family of learning models that integrates a cognitive diagnostic model and a higher-order, hidden Markov model in one framework is proposed. This new framework includes covariates to model skill transition in the learning environment. A Bayesian formulation is adopted to estimate parameters from a learning model. The developed methods are…
Descriptors: Skill Development, Cognitive Measurement, Cognitive Processes, Markov Processes
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King, Josiah P. J.; Loy, Jia E.; Corley, Martin – Discourse Processes: A multidisciplinary journal, 2018
Where the veracity of a statement is in question, listeners tend to interpret disfluency as signaling dishonesty. Previous research in deception suggests that this results from a speaker model, linking lying to cognitive effort and effort to disfluency. However, the disfluency-lying bias occurs very quickly: Might listeners instead simply…
Descriptors: Pragmatics, Inferences, Deception, Context Effect
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Bahar, Mustafa; Asil, Mustafa – Open Learning, 2018
With astounding developments in online systems and education came the need for e-assessments of various forms. Despite plenty of studies about attitude towards computer-based and online education, attitude towards online assessment needs more focus due to scant research carried out. For this end, an e-assessment scale was used with a sample of 853…
Descriptors: Educational Technology, Technology Uses in Education, Gender Differences, Computer Use
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Lee, Eunbae; Harris, R. Lainie Wilson – Journal of Computing in Higher Education, 2018
While understanding of domain specific vocabularies is essential in content learning, little research informs teaching practices for glossary learning. This study examines the relationship among vocabulary learning, student autonomy, and course performance through the theoretical framework of self-determination theory and second language…
Descriptors: Computer Assisted Testing, Glossaries, Personal Autonomy, Vocabulary Development
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Twomey, Katherine E.; Ma, Lizhi; Westermann, Gert – Cognitive Science, 2018
Variability is prevalent in early language acquisition, but, whether it supports or hinders learning is unclear; while target variability has been shown to facilitate word learning, variability in competitor items has been shown to make the task harder. Here, we tested whether background variability could boost learning in a referent selection…
Descriptors: Acoustics, Language Acquisition, Vocabulary Development, Behavior Change
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Daffin, Lee William, Jr.; Jones, Ashley A. – Online Learning, 2018
As online education becomes a more popular and permanent option for obtaining an education after high school, it also raises questions as to the academic rigor of such classes and the academic integrity of the students taking the classes. The purpose of the current study is to explore the integrity issue and to investigate student performance on…
Descriptors: College Students, Online Courses, Psychology, Computer Assisted Testing
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Fishbein, Bethany; Martin, Michael O.; Mullis, Ina V. S.; Foy, Pierre – Large-scale Assessments in Education, 2018
Background: TIMSS 2019 is the first assessment in the TIMSS transition to a computer-based assessment system, called eTIMSS. The TIMSS 2019 Item Equivalence Study was conducted in advance of the field test in 2017 to examine the potential for mode effects on the psychometric behavior of the TIMSS mathematics and science trend items induced by the…
Descriptors: Mathematics Achievement, Science Achievement, Mathematics Tests, Elementary Secondary Education
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Senel, Selma; Kutlu, Ömer – European Journal of Special Needs Education, 2018
This paper examines listening comprehension skills of visually impaired students (VIS) using computerised adaptive testing (CAT) and reader-assisted paper-pencil testing (raPPT) and student views about them. Explanatory mixed method design was used in this study. Sample is comprised of 51 VIS, in 7th and 8th grades. 9 of these students were…
Descriptors: Computer Assisted Testing, Adaptive Testing, Visual Impairments, Student Attitudes
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Badger, Julia R.; Mellanby, Jane – British Journal of Educational Psychology, 2018
Background: School attainment tests and Cognitive Abilities Tests are used in the United Kingdom to set targets for educational outcome. Whilst these are good predictors, they depend not only on basic ability but also on learnt knowledge and skills, such as reading. Method and Aims: VESPARCH is an online group test of verbal and spatial reasoning,…
Descriptors: Foreign Countries, Intelligence Tests, Verbal Ability, Spatial Ability
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