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Huawei, Shi; Aryadoust, Vahid – Education and Information Technologies, 2023
Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Automation
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Abasli, Konul; Yakut-Ozek, Bahar; Mammadli, Abdulkhalig – Higher Learning Research Communications, 2023
Objectives: The purpose of this study is to determine university students' views on online exams during the pandemic. The study was carried out with the participation of 15 undergraduate students studying at an engineering university in Azerbaijan. Methods: Interpretive phenomenology guided the study. Data were collected through semi-structured…
Descriptors: Computer Assisted Testing, Psychological Patterns, Student Attitudes, Undergraduate Students
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Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
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Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
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Robert Knurek; Heather Lynn Johnson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We conducted a collective case study investigating two college algebra students' graph reasoning and selection on an online assessment. Students completed the assessment during individual, semi-structured interviews, as part of a broader validation study. The assessment contained six items; students selected Cartesian graphs to represent…
Descriptors: College Mathematics, Mathematics Instruction, Graphs, Mathematical Applications
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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)
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Barrett, Michelle D.; Jiang, Bingnan; Feagler, Bridget E. – International Journal of Artificial Intelligence in Education, 2022
The appeal of a shorter testing time makes a computer adaptive testing approach highly desirable for use in multiple assessment and learning contexts. However, for those who have been tasked with designing, configuring, and deploying adaptive tests for operational use at scale, preparing an adaptive test is anything but simple. The process often…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Construction, Design Requirements
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Veale, Clinton G. L. – Journal of Chemical Education, 2022
The shift to online education has dealt several important pedagogical lessons in a very short time frame, none more so than approaches to assessments. This experience, coupled to improved access to education, will likely see online assessments remain as a major component of modern mainstream education. The powerful technologies that facilitate the…
Descriptors: Visual Aids, Search Engines, Computer Assisted Testing, Chemistry
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Falk, Carl F.; Feuerstahler, Leah M. – Educational and Psychological Measurement, 2022
Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a…
Descriptors: Item Response Theory, Adaptive Testing, Computer Assisted Testing, Nonparametric Statistics
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Schoch, Kerstin; Ostermann, Thomas – Creativity Research Journal, 2022
Although art has been subject to psychological research for some time, the artwork itself received little attention in quantitative research. The rating instrument for two-dimensional pictorial works ("RizbA") fills this gap by providing a tool for formal picture analysis. This study validates the questionnaire on 294 images created by…
Descriptors: Psychometrics, Art, Measures (Individuals), Visual Arts
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McCaffrey, Daniel F.; Casabianca, Jodi M.; Ricker-Pedley, Kathryn L.; Lawless, René R.; Wendler, Cathy – ETS Research Report Series, 2022
This document describes a set of best practices for developing, implementing, and maintaining the critical process of scoring constructed-response tasks. These practices address both the use of human raters and automated scoring systems as part of the scoring process and cover the scoring of written, spoken, performance, or multimodal responses.…
Descriptors: Best Practices, Scoring, Test Format, Computer Assisted Testing
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Khalil, Mohammad; Prinsloo, Paul; Slade, Sharon – Journal of Computer Assisted Learning, 2022
Background: The COVID-19 pandemic disrupted higher education in many ways, such as the move to Emergency Remote Online Teaching and Learning (EROTL), often including a move to online assessments and examinations. With evidence of increased academic dishonesty in unproctored online assessment, institutions sought ways to ensure academic and…
Descriptors: Integrity, Observation, Computer Assisted Testing, COVID-19
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Barthakur, Abhinava; Kovanovic, Vitomir; Joksimovic, Srecko; Zhang, Zhonghua; Richey, Michael; Pardo, Abelardo – British Journal of Educational Technology, 2022
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre- and post-tests or other forms of self-reports to…
Descriptors: Leadership, Workplace Learning, Computer Assisted Testing, Evaluation Methods
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