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Shin, Jinnie; Guo, Qi; Morin, Maxim – Educational Measurement: Issues and Practice, 2023
With the increased restrictions on physical distancing due to the COVID-19 pandemic, remote proctoring has emerged as an alternative to traditional onsite proctoring to ensure the continuity of essential assessments, such as computer-based medical licensing exams. Recent literature has highlighted the significant impact of different proctoring…
Descriptors: Foreign Countries, High Stakes Tests, Computer Assisted Testing, Licensing Examinations (Professions)
Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
Moreau, Julia; Pollock, Beth; Harrison, Allyson G. – Canadian Journal of School Psychology, 2023
Psychoeducational assessments provide clinicians with the foundation for diagnostic determinations and meaningful recommendations for youth with neurodevelopmental disorders. Due to the COVID-19 pandemic, the field shifted from seeing clients face-to-face (FTF) to conducting evaluations virtually via teleneuropsychology (TNP) in the client's own…
Descriptors: Neurodevelopmental Disorders, COVID-19, Pandemics, Telecommunications
Sudakova, Natalia E.; Savina, Tatyana N.; Masalimova, Alfiya R.; Mikhaylovsky, Mikhail N.; Karandeeva, Lyudmila G.; Zhdanov, Sergei P. – Education Sciences, 2022
Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease…
Descriptors: Computer Assisted Testing, Formative Evaluation, Higher Education, Bibliometrics
Cristyne Hébert – in education, 2021
As COVID-19 spread in early 2020, a lockdown was implemented across Canadian provinces and territories, resulting in the shuttering of physical post-secondary campuses. Universities quickly pivoted to remote learning, and faculty members adjusted their instructional and assessment approaches to align with virtual environments. Presumably to aid…
Descriptors: Foreign Countries, Computer Software, Supervision, Computer Assisted Testing
Morin, Maxim; Alves, Cecilia; De Champlain, André – Journal of Applied Testing Technology, 2022
The COVID-19 pandemic severely disrupted assessment models that were commonplace in the testing industry for decades. As a response to this disturbance, remote proctoring has emerged as a promising and potentially sound alternative to offer examinations, while adhering to public health authority guidelines. However, validity evidence in support of…
Descriptors: Distance Education, Observation, High Stakes Tests, Medical Education
McLeod, Melissa; Cheng, Liying – Language Assessment Quarterly, 2023
The Canadian English Language Proficiency Index Program (CELPIP) Test was designed for immigration and citizenship in Canada. CELPIP is a computer-based English-language proficiency test which covers all four skills. This test review provides a description of the test and its construct, tasks, and delivery. Then, it appraises CELPIP for…
Descriptors: Language Tests, Language Proficiency, English (Second Language), Second Language Learning
Thompson, James J. – Measurement: Interdisciplinary Research and Perspectives, 2022
With the use of computerized testing, ordinary assessments can capture both answer accuracy and answer response time. For the Canadian Programme for the International Assessment of Adult Competencies (PIAAC) numeracy and literacy subtests, person ability, person speed, question difficulty, question time intensity, fluency (rate), person fluency…
Descriptors: Foreign Countries, Adults, Computer Assisted Testing, Network Analysis
Frehlich, Levi; Blackstaffe, Anita; McCormack, Gavin R. – Measurement in Physical Education and Exercise Science, 2020
The Physical Activity Neighborhood Environment Scale (PANES) has been used internationally; however, PANES properties have not been assessed in all geographical contexts. Our objectives were to assess the reliability and validity of an online and paper version of the PANES in Canadian adults. Reliability was estimated using intraclass correlation…
Descriptors: Test Reliability, Construct Validity, Computer Assisted Testing, Adults
Harley, Jason M.; Lou, Nigel Mantou; Liu, Yang; Cutumisu, Maria; Daniels, Lia M.; Leighton, Jacqueline P.; Nadon, Lindsey – Assessment & Evaluation in Higher Education, 2021
Although the effectiveness and experiences of computer-based examinations is a widely investigated area of research, the question of whether and how computer-based assessment limits or heightens the experience of negative test emotions remains largely unexamined. Drawing from the control-value theory of achievement emotions, we investigated…
Descriptors: Psychological Patterns, Negative Attitudes, Computer Assisted Testing, Undergraduate Students
Wenyangzi Shi; Zohreh Shahbazi – Canadian Journal of Science, Mathematics and Technology Education, 2024
The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…
Descriptors: Statistics Education, Online Courses, COVID-19, Pandemics
Sanders, Benjamin W.; Bedrick, Steven; Broder-Fingert, Sarabeth; Brown, Shannon A.; Dolata, Jill K.; Fombonne, Eric; Reeder, Julie A.; Rivas Vazquez, Luis Andres; Fuchu, Plyce; Morales, Yesenia; Zuckerman, Katharine E. – Autism: The International Journal of Research and Practice, 2023
Limited access to screening and evaluation for autism spectrum disorder in children is a major barrier to improving outcomes for marginalized families. To identify and evaluate available digital autism spectrum disorder screening resources, we simulated web and mobile app searches by a parent concerned about their child's likelihood of autism…
Descriptors: Screening Tests, Autism Spectrum Disorders, Computer Assisted Testing, Parent Attitudes
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing