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Hany Zayed – Learning, Media and Technology, 2024
This article examines academic cheating in Egyptian secondary education at a time of assessment fetishization, educational digitalization and pandemic exceptionalism. It shows how, while promising a tighter grip on assessment, digital technologies afforded a new modality of cheating with a scale and speed unprecedented in Egyptian educational…
Descriptors: Cheating, Secondary Education, Foreign Countries, Technology
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Sohyun An Kim; Rebecca Gotlieb; Laura V. Rhinehart; Veronica Pedroza; Maryanne Wolf – Journal of Psychoeducational Assessment, 2024
Rapid automatized naming (RAN) is a powerful predictor of reading fluency, and many digitized dyslexia screeners include RAN as an essential component. However, the validity of digitized RAN has not been established. Using a sample of 174 second-graders, this study tested (1) the comparability between paper and digitized versions of RAN and (2)…
Descriptors: Public Schools, Charter Schools, Private Schools, Elementary School Students
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Jason Schoeneberger; Xiaodong Zhang; Samantha Spinney; Jing Sun; Lauren Kennedy; Samira Rajesh Syal – Grantee Submission, 2023
The purpose of this study was to understand the impact, implementation and costs associated with a one-semester elective lab course in 9th grade, Accelerating Literacy for Adolescents (ALFA) Lab, which seeks to improve students' reading achievement, particularly for those from economically disadvantaged communities. This study used three cohorts…
Descriptors: High School Students, Grade 9, Learning Laboratories, Reading Centers
Doris Zahner; Jeffrey T. Steedle; James Soland; Catherine Welch; Qi Qin; Kathryn Thompson; Richard Phelps – Online Submission, 2023
The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…
Descriptors: Standards, Educational Assessment, Psychological Testing, Best Practices
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El Asame, Maryam; Wakrim, Mohamed; Battou, Amal – Education and Information Technologies, 2022
E-Assessment, which is a key element in the instructional design process, plays a major role in supporting and enhancing learning. However, the current e-assessment design does not achieve the desired pedagogical objectives in the e-learning environments. In this paper, we propose a hybrid pedagogical framework for e-learning environments, that…
Descriptors: Computer Assisted Testing, Student Evaluation, Teaching Methods, Instructional Design
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Singh, Sneha; Kumar, Amit; Arya, Aditya – Biochemistry and Molecular Biology Education, 2022
The emergence of the global pandemic, SARS-CoV-2 has posed several challenges to education across the globe and led to the emergence and progression of newer methods of teaching and assessment. While online teaching has been quickly adopted and implemented across the globe, exams and assessment remain poorly managed both at an elementary and…
Descriptors: Cheating, Supervision, COVID-19, Pandemics
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Koretsky, Milo D.; McColley, Campbell J.; Gugel, James L.; Ekstedt, Thomas W. – Journal of Engineering Education, 2022
Background: Authentic assessment and two-stage exams have recently received attention; however, they are rarely used together. We reimagine assessment by integrating an authentic, computer-based assessment into the structure of a two-stage exam in a large engineering class. Purpose: We seek to identify ways that such assessment extends classroom…
Descriptors: Performance Based Assessment, Alignment (Education), Engineering Education, Computer Assisted Testing
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St-Onge, Christina; Ouellet, Kathleen; Lakhal, Sawsen; Dubé, Tim; Marceau, Mélanie – British Journal of Educational Technology, 2022
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Higher Education
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Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
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Chen, Clement; Jones, Keith T.; Lawrence, Mark; Simpson, Jill M. – Quarterly Review of Distance Education, 2022
This article discusses the necessity of using technology for exam proctoring in an era of increasing growth in online course delivery. The article discusses a recent generational trend affecting the rationalization leg of the "fraud triangle" generally used to model the conditions typically present in fraud, then discusses some…
Descriptors: Computer Assisted Testing, Technology Uses in Education, Supervision, Online Courses
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Oeding, Jill M. – Quarterly Review of Distance Education, 2022
One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…
Descriptors: Prevention, Identification, Cheating, Ethics
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Padli, Padli; Mardela, Romi; Yendrizal, Yendrizal – Cypriot Journal of Educational Sciences, 2022
This study aims to find out the level of students' hitting skills and student responses after using ball-hitting skills. This type of research is a mixed method with an explanatory model. The sampling technique used was purposive sampling with a sample of 30 students who were active and contracted in the cricket courses. Before collecting data,…
Descriptors: Athletics, Psychomotor Skills, Computer Assisted Testing, College Students
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Mo, Daniel Y.; Tang, Yuk Ming; Wu, Edmund Y.; Tang, Valerie – Education and Information Technologies, 2022
Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…
Descriptors: Higher Education, Computer Assisted Testing, Models, Student Attitudes
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Griffiths, Barry J. – Research on Education and Media, 2022
This pilot study looks at how the author proactively sought to mitigate the issue of cheating when giving online tests during the Spring 2021 semester, at a time when the COVID-19 pandemic forced many teachers around the world to use modalities that involved distance learning. The genesis, implementation and results of the strategy used during the…
Descriptors: Computer Assisted Testing, Supervision, Cheating, Educational Technology
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