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Zifeng Liu; Wanli Xing; Chenglu Li; Fan Zhang; Hai Li; Victor Minces – Journal of Learning Analytics, 2025
Creativity is a vital skill in science, technology, engineering, and mathematics (STEM)-related education, fostering innovation and problem-solving. Traditionally, creativity assessments relied on human evaluations, such as the consensual assessment technique (CAT), which are resource-intensive, time-consuming, and often subjective. Recent…
Descriptors: Creativity, Elementary School Students, Artificial Intelligence, Man Machine Systems
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Theresa Elise Wege; Camilla Gilmore; Matthew Inglis – Journal of Numerical Cognition, 2025
Children learn the cardinalities of the first numbers one, two, three and four before they learn how counting tracks cardinality for all numbers. It may be that when children start to understand counting, they also discover how numbers relate to one another in a structured number system. Do children who understand that the cardinality of a set is…
Descriptors: Numeracy, Number Concepts, Arithmetic, Mathematics Skills
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Marcus Messer; Neil C. C. Brown; Michael Kölling; Miaojing Shi – ACM Transactions on Computing Education, 2025
Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor, such as the module/class leader, larger cohorts are often assessed by multiple assessors, typically teaching…
Descriptors: Foreign Countries, Grading, Interrater Reliability, Teaching Assistants
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Regan Mozer; Luke Miratrix – Grantee Submission, 2025
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…
Descriptors: Artificial Intelligence, Coding, Efficiency, Statistical Inference
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Olivera-Aguilar, Margarita; Lee, Hee-Sun; Pallant, Amy; Belur, Vinetha; Mulholland, Matthew; Liu, Ou Lydia – ETS Research Report Series, 2022
This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…
Descriptors: Computer Assisted Testing, Formative Evaluation, Automation, Scoring
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M. Arda Atakaya; Ugur Sak; M. Bahadir Ayas – Creativity Research Journal, 2024
Scoring in creativity research has been a central problem since creativity became an important issue in psychology and education in the 1950s. The current study examined the psychometric properties of 27 creativity indices derived from summed and averaged scores using 15 scoring methods. Participants included 2802 middle-school students. Data…
Descriptors: Psychometrics, Creativity, Creativity Tests, Scoring
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Lyn Denend; Ross Venook; Ravinder D. Pamnani; Kunj Sheth; Joseph Towles – Biomedical Engineering Education, 2024
In design-oriented biomedical engineering courses, some instructors teach need-driven methods for health technology innovation that use a "need statement" to reflect a student team's hypothesis about the most fruitful direction for their project. While need statements are of the utmost importance to the projects, we were not aware of any…
Descriptors: Scoring Rubrics, Biomedicine, Engineering Education, Student Projects
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Ngoc Thi-Nhu Bui; Pratchayapong Yasri – European Journal of Educational Management, 2024
Courses are the fundamental building blocks of educational programs, serving as a tangible representation of student attainment and the desired learning outcomes of the program. Despite their pivotal role in education, however, a standardized framework for the development, implementation, and enhancement of course specifications remains elusive.…
Descriptors: Teacher Attitudes, Educational Quality, Quality Assurance, Higher Education
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Reed, Deborah K.; Mercer, Sterett H. – School Psychology, 2023
Interim and summative assessments often are used to make decisions about student writing skills and needs for instruction, but the extent to which different raters and score types might introduce bias for some groups of students is largely unknown. To evaluate this possibility, we analyzed interim writing assessments and state summative test data…
Descriptors: Writing Tests, Summative Evaluation, Scoring, Bias
Andrea Drury Carlile – ProQuest LLC, 2023
The objective for all three phases of this study was to make improvements to an existing measure, the Dispositional Evaluation Rubric (DER), and then establish reliability and validity of the measure, which will support schools and teacher preparation programs in measuring teacher candidates' professional dispositions. This study was designed to…
Descriptors: Scoring Rubrics, Preservice Teachers, Teacher Characteristics, Evaluation Methods
National Institute for Excellence in Teaching, 2023
Aspiring teachers must develop an in-depth understanding of high-quality instructional practices. In order to prepare, instruct, and coach aspiring teachers, the National Institute for Excellence in Teaching (NIET) has developed a the NIET Aspiring Teacher Rubric (ATR) based on principles of excellence in instruction. This research brief…
Descriptors: Scoring Rubrics, Preservice Teachers, Test Construction, Test Validity
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Ragheb Al-Ghezi; Katja Voskoboinik; Yaroslav Getman; Anna Von Zansen; Heini Kallio; Mikko Kurimo; Ari Huhta; Raili Hildén – Language Assessment Quarterly, 2023
The development of automated systems for evaluating spontaneous speech is desirable for L2 learning, as it can be used as a facilitating tool for self-regulated learning, language proficiency assessment, and teacher training programs. However, languages with fewer learners face challenges due to the scarcity of training data. Recent advancements…
Descriptors: Speech Tests, Automation, Artificial Intelligence, Finno Ugric Languages
Xin Qiao; Akihito Kamata; Cornelis Potgieter – Grantee Submission, 2023
Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and to evaluate the effectiveness of interventions as curriculum-based measurements. As with other assessments, equating ORF scores becomes necessary when we want to compare ORF scores from different test forms. Recently, Kara et al. (2023) proposed a model-based…
Descriptors: Error of Measurement, Oral Reading, Reading Fluency, Equated Scores
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Roy, Marguerite; Wojcik, Josée; Bartman, Ilona; Smee, Sydney – Advances in Health Sciences Education, 2021
In Canada, high stakes objective structured clinical examinations (OSCEs) administered by the Medical Council of Canada have relied exclusively on physician examiners (PEs) for scoring. Prior research has looked at using SPs to replace PEs. This paper reports on two studies that implement and evaluate a standardized patient (SP) scoring tool to…
Descriptors: Foreign Countries, Medical Education, Medical Students, Student Evaluation
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Wheeler, Jordan M.; Engelhard, George; Wang, Jue – Measurement: Interdisciplinary Research and Perspectives, 2022
Objectively scoring constructed-response items on educational assessments has long been a challenge due to the use of human raters. Even well-trained raters using a rubric can inaccurately assess essays. Unfolding models measure rater's scoring accuracy by capturing the discrepancy between criterion and operational ratings by placing essays on an…
Descriptors: Accuracy, Scoring, Statistical Analysis, Models
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