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Russo-Ponsaran, Nicole M.; McKown, Clark; Karls, Ashley; Wu, Irene Y. H. – Grantee Submission, 2021
Virtual Environment for Social Information Processing (VESIP™) is a web-based social information processing assessment developed for youth in grades 3-7. VESIP was developed to address: (1) the broader assessment of social information processing in a variety of socially challenging situations; and (2) the need for technically strong and scalable…
Descriptors: Computer Assisted Testing, Interpersonal Competence, Computer Simulation, Test Reliability
Wang, Shichao; Li, Dongmei; Steedle, Jeffrey – ACT, Inc., 2021
Speeded tests set time limits so that few examinees can reach all items, and power tests allow most test-takers sufficient time to attempt all items. Educational achievement tests are sometimes described as "timed power tests" because the amount of time provided is intended to allow nearly all students to complete the test, yet this…
Descriptors: Timed Tests, Test Items, Achievement Tests, Testing
Deena Hicks – ProQuest LLC, 2021
According to the Entertainment Software Association (2020), 70% (51.1 million) of children under the age of 18 are gamers in the United States and consume an average of two and a half hours per day playing digital-based games, making these games one of the most widely known leisure activities worldwide. Today's Net Generation (Kindergarten through…
Descriptors: Middle School Students, Middle School Teachers, Educational Games, Computer Games
Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
Chen, Yi-Jui I.; Chen, Yi-Hsin; Anthony, Jason L.; Erazo, Noé A. – Journal of Psychoeducational Assessment, 2022
The Computer-based Orthographic Processing Assessment (COPA) is a newly developed assessment to measure orthographic processing skills, including rapid perception, access, differentiation, correction, and arrangement. In this study, cognitive diagnostic models were used to test if the dimensionality of the COPA conforms to theoretical expectation,…
Descriptors: Elementary School Students, Grade 2, Computer Assisted Testing, Orthographic Symbols
Sa'di, Rami A.; Sharadgah, Talha A.; Abdulrazzaq, Ahmad; Yaseen, Maha S. – Electronic Journal of e-Learning, 2022
As the COVID-19 pandemic was spreading rapidly throughout the world, the most widespread reaction in many countries to curtail the disease was lockdown. As a result, educational institutions had to find an alternative to face-to-face learning. The most obvious solution was e-learning. Conventional tertiary institutions with little virtual learning…
Descriptors: COVID-19, Pandemics, Postsecondary Education, Electronic Learning
Google Classroom in TEFL for Basic School Students Amid the COVID-19 Pandemic: Teachers' Reflections
Shaaban, Sumer S. Abou – International Education Studies, 2022
This paper exposed TEFL basic schoolteachers' reflections on the use of Google Classroom amid the COVID-19 pandemic. It is a qualitative descriptive field research that tackled 82 TEFL teachers who responded to a reflection instrument which includes four questions tackled: (1) demographic general information, (2) uses of google classroom, (3)…
Descriptors: Language Teachers, English (Second Language), Second Language Instruction, COVID-19
Cooper, Damian – Solution Tree, 2022
Assessment is overdue for a technology-supported reboot, and this practical guide will help you do just that. Within its pages, you'll discover a balanced approach to assessment for learning that includes conversations and performance-based observations as key components. Real-world case studies and differentiated implementation options are…
Descriptors: Evaluation Methods, Student Evaluation, Performance Based Assessment, Learner Engagement
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Kolski, Tammi; Weible, Jennifer L. – Community College Journal of Research and Practice, 2019
eLearning instruction has become an accepted means of delivering a quality education to higher education students, with community college online learning enrollment rates rising annually. Consistent with the desires of eLearning students for convenience and flexibility, educators utilize virtual proctored exams to safeguard against academic…
Descriptors: Community Colleges, Two Year College Students, College Students, Student Behavior
Frick, Aurélien; Brandimonte, Maria A.; Chevalier, Nicolas – Developmental Psychology, 2019
Emerging cognitive control supports increasingly efficient goal-directed behaviors. With age, children are increasingly expected to decide autonomously and with little external aid which goals to attain. However, little is known about how children engage cognitive control in such a self-directed fashion. The present study examined self-directed…
Descriptors: Cognitive Processes, Goal Orientation, Personal Autonomy, Age Differences
Munoz, Albert; Mackay, Jonathon – Journal of University Teaching and Learning Practice, 2019
Online testing is a popular practice for tertiary educators, largely owing to efficiency in automation, scalability, and capability to add depth and breadth to subject offerings. As with all assessments, designs need to consider whether student cheating may be inadvertently made easier and more difficult to detect. Cheating can jeopardise the…
Descriptors: Cheating, Test Construction, Computer Assisted Testing, Classification
Kroehne, Ulf; Buerger, Sarah; Hahnel, Carolin; Goldhammer, Frank – Educational Measurement: Issues and Practice, 2019
For many years, reading comprehension in the Programme for International Student Assessment (PISA) was measured via paper-based assessment (PBA). In the 2015 cycle, computer-based assessment (CBA) was introduced, raising the question of whether central equivalence criteria required for a valid interpretation of the results are fulfilled. As an…
Descriptors: Reading Comprehension, Computer Assisted Testing, Achievement Tests, Foreign Countries
Shavelson, Richard J.; Zlatkin-Troitschanskaia, Olga; Beck, Klaus; Schmidt, Susanne; Marino, Julian P. – International Journal of Testing, 2019
Following employers' criticisms and recent societal developments, policymakers and educators have called for students to develop a range of generic skills such as critical thinking ("twenty-first century skills"). So far, such skills have typically been assessed by student self-reports or with multiple-choice tests. An alternative…
Descriptors: Critical Thinking, Cognitive Tests, Performance Based Assessment, Student Evaluation
Neumann, Michelle M.; Worrall, Sheena; Neumann, David L. – Journal of Research on Technology in Education, 2019
Touch-screen tablets are used in the classroom for assessment. Little is known about the psychometric properties of tablet-based assessments. This study examined the validity and reliability of an expressive and receptive assessment app designed to measure literacy skills. Children (N = 45; 3-5 years) completed the app assessments for alphabet and…
Descriptors: Handheld Devices, Emergent Literacy, Computer Assisted Testing, Test Validity