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Yong, Su Ting; Chong, Siang Yew; Tiong, Kung Ming; Tan, Thian Khoon; Matthews, Reginamary – International Journal of Virtual and Personal Learning Environments, 2022
This study explored the impact of the Covid-19 pandemic on the academic quality of a Foundation in Engineering programme. A Course Experience Questionnaire (CEQ) was administered before and during the pandemic to evaluate the six dimensions of academic quality--assessment, workload, teaching, academic environment, standards, and skills…
Descriptors: COVID-19, Pandemics, Engineering Education, Student Satisfaction
Polak, Katarzyna; Gielecki, Jerzy Stanislaw; Zurada, Anna – Anatomical Sciences Education, 2022
The affordances of technology-based assessments, like the objectively structured practical examination, have become an integral part of gross anatomy courses. The Department of Anatomy Faculty of Medicine at the University of Warmia and Mazury developed and introduced an application for tablet devices which has been implemented in student…
Descriptors: Foreign Countries, Medical Students, Handheld Devices, Telecommunications
Simon, Tünde; Biró, Ildikó; Kárpáti, Andrea – Journal of Intelligence, 2022
In this paper, we describe subskills of visual communication based on the skill structure outlined in the Common European Framework of Visual Literacy. We have developed this Framework further through assessing the development of subskills related to visual communication in the "produce" and "respond" domains of CEFR-VC in…
Descriptors: Visual Literacy, Communication Skills, Skill Development, Elementary School Students
Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
Gorney, Kylie; Wollack, James A. – Practical Assessment, Research & Evaluation, 2022
Unlike the traditional multiple-choice (MC) format, the discrete-option multiple-choice (DOMC) format does not necessarily reveal all answer options to an examinee. The purpose of this study was to determine whether the reduced exposure of item content affects test security. We conducted an experiment in which participants were allowed to view…
Descriptors: Test Items, Test Format, Multiple Choice Tests, Item Analysis
Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
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
Liu, Kawai – Online Submission, 2022
Although educators are using various ways in evaluating students' learning, traditional paper pencil final exams are usually held at the end of the school year to conclude the course. During the school suspension due to the COVID-19 outbreak, this traditional approach is no longer applicable to some schools. In this article, alternative final…
Descriptors: COVID-19, Pandemics, School Closing, Student Evaluation
Jane Ann Schmidt – ProQuest LLC, 2022
Instructional coaching has been implemented in schools to improve student achievement; however, literature shows a lack of evidence of the efficacy of improving student reading achievement. The problem addressed in this study was that school districts have implemented instructional coaching to improve student reading achievement, but the…
Descriptors: Reading Instruction, Coaching (Performance), Grade 3, Elementary School Teachers
Ted M. Clark; Daniel A. Turner; Darian C. Rostam – Journal of Chemical Education, 2022
Administering exams in large enrollment courses is challenging and systems in place for accomplishing this task were upended in the spring of 2020 when a sudden transformation to online instruction and testing occurred due to the COVID-19 pandemic. In the following year, when courses remained online, approaches to improve exam security included…
Descriptors: Chemistry, Science Instruction, Supervision, Computer Assisted Testing
Nordenswan, Elisabeth; Kataja, Eeva-Leena; Deater-Deckard, Kirby; Korja, Riikka; Karrasch, Mira; Laine, Matti; Karlsson, Linnea; Karlsson, Hasse – SAGE Open, 2020
This study tested whether executive functioning (EF)/learning tasks from the CogState computerized test battery show a unitary latent structure. This information is important for the construction of composite measures on these tasks for applied research purposes. Based on earlier factor analytic research, we identified five CogState tasks that…
Descriptors: Executive Function, Cognitive Tests, Test Items, Computer Assisted Testing
Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
Luo, Zhanni; O'Steen, Billy; Brown, Cheryl – Interactive Technology and Smart Education, 2020
Purpose: To build adaptive learning systems for a better learning experience, designers need to identify users' behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and…
Descriptors: Eye Movements, Computer Assisted Testing, Educational Technology, Cognitive Style
Knight, G. L.; Drysdale, T. D. – Higher Education Pedagogies, 2020
Graduates are entering a sociotechnological world, with teaching and assessment needing to reflect that, by shifting from a 'recall-on-paper' to 'do-it-for-real'. With increasing student numbers, it is not feasible to have staff-student ratios and round-the-clock availability required to provide instant feedback and ever-more interactive teaching…
Descriptors: Higher Education, Educational Trends, Skill Development, Job Skills
McDowell, Sean A. C. – Journal of Chemical Education, 2020
The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has disrupted normal activities all over the world. Education at all levels has been particularly hard hit, and this has resulted in the suspension of face-to-face discourse, instruction, and student assessment worldwide, with the necessity of social…
Descriptors: Asynchronous Communication, Computer Assisted Testing, Chemistry, Scientific Concepts