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Gema Del Moral – ProQuest LLC, 2022
English Language Learners (ELLs) are at an academic disadvantage with the rest of general education because they are linguistically challenged, especially in reading. Educators are recommended to use best practices to provide a good quality education to ELLs through the use of instructional tools. One instructional tool that is recommended to use…
Descriptors: Teaching Methods, Instructional Materials, Academic Achievement, English Language Learners
Takahiro Terao – Applied Measurement in Education, 2024
This study aimed to compare item characteristics and response time between stimulus conditions in computer-delivered listening tests. Listening materials had three variants: regular videos, frame-by-frame videos, and only audios without visuals. Participants were 228 Japanese high school students who were requested to complete one of nine…
Descriptors: Computer Assisted Testing, Audiovisual Aids, Reaction Time, High School Students
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Dave Kush; Anne Dahl; Filippa Lindahl – Second Language Research, 2024
Embedded questions (EQs) are islands for filler--gap dependency formation in English, but not in Norwegian. Kush and Dahl (2022) found that first language (L1) Norwegian participants often accepted filler-gap dependencies into EQs in second language (L2) English, and proposed that this reflected persistent transfer from Norwegian of the functional…
Descriptors: Transfer of Training, Norwegian, Native Language, Grammar
Christine G. Casey, Editor – Centers for Disease Control and Prevention, 2024
The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…
Descriptors: High School Students, At Risk Students, Health Behavior, National Surveys
Hernández, Ronald M.; Cáceres, Isaac Sanchez; Zarate Hermoza, Jesús Roberto; Coronado, Daniela Medina; Loli Poma, Telmo Pablo; Arévalo Gómez, Georgina Raquel – Journal of Educational Psychology - Propositos y Representaciones, 2019
The ways in which pedagogical practices have evolved and how to understand the teaching and learning process are different. With the use of the Internet, the sources of information and evaluation are amplified, and educational agents within virtual education play an important role, reflecting on a new paradigm of learning and knowledge…
Descriptors: Educational Technology, Technology Uses in Education, Internet, Evaluation Methods
Nikou, Stavros A.; Economides, Anastasios A. – Interactive Technology and Smart Education, 2019
Purpose: The purpose of this study is to compare the overall usability and user experience of desktop computers and mobile-devices when used in a summative assessment in the context of a higher education course. Design/methodology/approach: The study follows a between-groups design. The participants were 110 first-year undergraduate students from…
Descriptors: Computer Assisted Testing, Usability, Handheld Devices, Summative Evaluation
Hewson, Claire; Charlton, John P. – Journal of Computer Assisted Learning, 2019
The use of e-assessment methods raises important concerns regarding the reliability and validity of these methods. Potential threats to validity include mode effects and the possible influence of computer-related attitudes. Although numerous studies have now investigated the validity of online assessments in noncourse-based contexts, few studies…
Descriptors: Computer Assisted Testing, Test Reliability, Test Validity, College Students
OECD Publishing, 2019
Log files from computer-based assessment can help better understand respondents' behaviours and cognitive strategies. Analysis of timing information from Programme for the International Assessment of Adult Competencies (PIAAC) reveals large differences in the time participants take to answer assessment items, as well as large country differences…
Descriptors: Adults, Computer Assisted Testing, Test Items, Reaction Time
Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
Snekalatha, S.; Marzuk, S. Mohamed; Meshram, Swapnatai A.; Maheswari, K. Uma; Sugapriya, G.; Sivasharon, K. – Advances in Physiology Education, 2021
Medical education has gone online because of the COVID-19 pandemic. Formative assessment is essential to facilitate the learning process in medical education. However, various challenges arise during online assessment, which include reliability, when done without monitoring and practical concerns like Internet connectivity issues. This study was…
Descriptors: Medical Students, Student Attitudes, Test Reliability, Test Validity
Baboolal-Frank, Rashri – International Journal for Educational Integrity, 2021
The COVID-19 pandemic created a situation for the implementation of emergency remote learning. This meant that as a lecturer at a traditionalist University of contact sessions, the pandemic forced us to teach remotely through online methods of communication, using online lectures, narrated powerpoints, voice clips, podcasts, interviews and…
Descriptors: Emergency Programs, Distance Education, Electronic Learning, COVID-19
Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
Prakasha, G. S.; Hemalathaa, K. Y.; Tamizh, Ponni; Bhavna, Bhola; Kenneth, Anthony – Problems of Education in the 21st Century, 2021
Outbreak of COVID-19, online examination, and e-proctoring have caused more exam anxiety and affected exam performance among students' studying in International Baccalaureate (IB) Diploma Programme (DP). Therefore, the present research aimed to find effect of online test anxiety on academic performance of IBDP students in the subjects related to…
Descriptors: Computer Assisted Testing, Test Anxiety, Scores, Advanced Placement Programs