NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 2,071 to 2,085 of 47,489 results Save | Export
Steven M. Urdegar – Office of Assessment, Research, and Data Analysis, Miami-Dade County Public Schools, 2023
i-Ready is an English Language Arts (ELA) and mathematics instructional program for Grades K-8 students featuring an individualized plan for instruction based on each student's performance on an online, computer-adaptive diagnostic assessment. Once students complete the diagnostic assessment, i-Ready builds a unique lesson plan with a…
Descriptors: Language Arts, English Instruction, Mathematics Instruction, Elementary School Mathematics
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jane E. Miller – Numeracy, 2023
Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…
Descriptors: Statistical Significance, Holistic Approach, Statistical Inference, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
Peer reviewed Peer reviewed
Direct linkDirect link
Rebecca Hallman Martini – Writing Center Journal, 2023
Despite their history of marginalization, writing centers need to be spaces where consultants, writers, and administrators act with agency. This requires both knowing when and how to act, as well as deciding when to yield. In challenging policies of seeming neutrality, I argue in this manuscript that writing center practitioners can center the…
Descriptors: Writing Instruction, Writing (Composition), Laboratories, Writing Teachers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kosan, Aysen Melek Aytug; Koç, Nizamettin; Elhan, Atilla Halil; Öztuna, Derya – International Journal of Assessment Tools in Education, 2019
Progress Test (PT) is a form of assessment that simultaneously measures ability levels of all students in a certain educational program and their progress over time by providing them with same questions and repeating the process at regular intervals with parallel tests. Our objective was to generate an item bank for the PT and to examine the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Medical Education
Peer reviewed Peer reviewed
Direct linkDirect link
Mizumoto, Atsushi; Sasao, Yosuke; Webb, Stuart A. – Language Testing, 2019
The knowledge about affix plays a vital role in the development of word knowledge and vocabulary acquisition. A test for diagnostic information on the level of affix knowledge would be useful in order to inform the test users of what learners have gained or lacked in this integral component of vocabulary knowledge. This paper reports the…
Descriptors: Computer Assisted Testing, Adaptive Testing, College Students, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Sahin, Alper; Hurtado Grooscors, Hector Armando; Góngora-Cortés, Jose Juan – Measurement: Interdisciplinary Research and Perspectives, 2018
Computerized adaptive tests (CATs) have received wider attention throughout the world in recent years mainly because they provide their users with higher precision in examinee ability estimation with less items by the help of the sound psychometric principals they are based on. The recent attention necessitates the need for platforms on which CATs…
Descriptors: Adaptive Testing, Computer Assisted Testing, Psychometrics, Feasibility Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Gelbart, Wendy R. – Intervention in School and Clinic, 2018
As schools move into a new era of technology, assessment is evolving as well. With the introduction of high-stakes tests based on the Common Core State Standards, annual assessments are increasingly delivered via computer-based systems. This method of delivery could have a significant effect on students with learning disabilities. This column…
Descriptors: High Stakes Tests, Learning Disabilities, Computer Assisted Testing, Common Core State Standards
Peer reviewed Peer reviewed
Direct linkDirect link
Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
Peer reviewed Peer reviewed
Direct linkDirect link
Riegel, Kaitlin; Evans, Tanya – Australasian Journal of Educational Technology, 2021
The rapid inclusion of online assessment in higher education has left a void in investigating the relationship this form of assessment has with student emotions. This study examines the influence of frequent online assessment on student emotions in a university setting using a mixed-methods approach. Students' emotions in an online quiz and a…
Descriptors: Academic Achievement, Psychological Patterns, Incidence, Computer Assisted Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Lloyd, Blair P.; Torelli, Jessica N.; Pollack, Marney S. – Journal of Behavioral Education, 2021
When results of descriptive functional behavior assessments (FBAs) are inconclusive, experimental analysis methods can be used to directly test hypotheses about when or why a student engages in challenging behavior. Despite growing research on practical variations of hypothesis testing in schools, these methods are rarely incorporated in FBAs in…
Descriptors: Hypothesis Testing, Functional Behavioral Assessment, Student Behavior, Behavior Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Lehner, Katharina; Ziegler, Wolfram – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The clinical assessment of intelligibility must be based on a large repository and extensive variation of test materials, to render test stimuli unpredictable and thereby avoid expectancies and familiarity effects in the listeners. At the same time, it is essential that test materials are systematically controlled for factors influencing…
Descriptors: Pronunciation, Comprehension, Articulation (Speech), Articulation Impairments
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yurtcu, Meltem; Güzeller, Cem Oktay – Participatory Educational Research, 2021
The items that are suitable for everyone's own ability level with the support of computer programs instead of paper and pencil tests may help students to reach more accurate results. Computer adaptive tests (CAT), which are developed based on certain assumptions in this direction, are to create an optimum test for every person taking the exam. It…
Descriptors: Bibliometrics, Computer Assisted Testing, Computer Software, Test Construction
Peer reviewed Peer reviewed
Direct linkDirect link
Pejic, Marko; Savic, Goran; Segedinac, Milan – Journal of Educational Computing Research, 2021
This study proposes a software system for determining gaze patterns in on-screen testing. The system applies machine learning techniques to eye-movement data obtained from an eye-tracking device to categorize students according to their gaze behavior pattern while solving an on-screen test. These patterns are determined by converting eye movement…
Descriptors: Eye Movements, Computer Assisted Testing, Computer Software, Evaluation Methods
Pages: 1  |  ...  |  135  |  136  |  137  |  138  |  139  |  140  |  141  |  142  |  143  |  ...  |  3166