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Azwani Masuwai; Hafizhah Zulkifli; Mohd Isa Hamzah – Cogent Education, 2024
This study aims to test the content and face validity of Secondary School Islamic Education Teacher Self-Assessment Instrument (SSIET-SAI) using Content Validity Ratio (CVR), Content Validity Index (CVI) and Cohen Kappa Index (CKI) analysis. They are nine professional experts from universities and schools and two other expert field. Validation…
Descriptors: Secondary School Teachers, Teacher Evaluation, Self Evaluation (Individuals), Test Validity
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Fu-Yun Yu – Interactive Learning Environments, 2024
Currently, 50 + learning systems supporting student question-generation (SQG) activities have been developed. While generating questions of different types is supported in many of these systems, systems allowing students to generate questions around a scenario (i.e. student testlet-generation, STG) are not yet available. Noting the increasing…
Descriptors: Computer Assisted Testing, Test Format, Test Construction, Test Items
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Crystal Uminski; Sara M. Burbach; Brian A. Couch – CBE - Life Sciences Education, 2024
Scientific practices are the skills used to develop scientific knowledge and are essential for careers in science. Despite calls from education and government agencies to cultivate scientific practices, there remains little evidence of how often students are asked to apply them in undergraduate courses. We analyzed exams from biology courses at…
Descriptors: Undergraduate Study, Biology, Science Education, Lecture Method
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Nadia M. Theba; Craig Pournara; Shikha Takker – Pythagoras, 2024
Developing structure sense is an important part of learning algebra. We investigated learners' structure sense of algebraic expressions involving brackets. This led us to propose the constructs "surface structure" sense and "systemic structure" sense. Using a random sample of 58 Grade 10 learners scoring above 40% in a test, we…
Descriptors: Algebra, Grade 10, Mathematics Instruction, Error Patterns
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Laura Kuusemets; Kristin Parve; Kati Ain; Tiina Kraav – International Journal of Education in Mathematics, Science and Technology, 2024
Using multiple-choice questions as learning and assessment tools is standard at all levels of education. However, when discussing the positive and negative aspects of their use, the time and complexity involved in producing plausible distractor options emerge as a disadvantage that offsets the time savings in relation to feedback. The article…
Descriptors: Program Evaluation, Artificial Intelligence, Computer Assisted Testing, Man Machine Systems
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Musa Adekunle Ayanwale; Mdutshekelwa Ndlovu – Journal of Pedagogical Research, 2024
The COVID-19 pandemic has had a significant impact on high-stakes testing, including the national benchmark tests in South Africa. Current linear testing formats have been criticized for their limitations, leading to a shift towards Computerized Adaptive Testing [CAT]. Assessments with CAT are more precise and take less time. Evaluation of CAT…
Descriptors: Adaptive Testing, Benchmarking, National Competency Tests, Computer Assisted Testing
Lance Shultz – ProQuest LLC, 2024
Multiple-true-false (MTF) assessments can provide granular feedback on course materials, which stems from the format of the MTF question and helps to enhance student understanding and illuminates misconceptions that can be hidden with other assessment types (Brassil & Couch, 2019). The purpose of this study was to document how students use and…
Descriptors: Objective Tests, Multiple Choice Tests, Test Items, Student Evaluation
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Peter A. Edelsbrunner; Bianca A. Simonsmeier; Michael Schneider – Educational Psychology Review, 2025
Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high…
Descriptors: Meta Analysis, Predictor Variables, Learning Processes, Knowledge Level
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Lyniesha Ward; Fridah Rotich; Jeffrey R. Raker; Regis Komperda; Sachin Nedungadi; Maia Popova – Chemistry Education Research and Practice, 2025
This paper describes the design and evaluation of the Organic chemistry Representational Competence Assessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to "interpret," "translate," and "use" six commonly used representations of molecular…
Descriptors: Organic Chemistry, Science Tests, Test Construction, Student Evaluation
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Ane Wibe Saether; Silje Sommer Hukkelberg; Ane Naerde – Scandinavian Journal of Educational Research, 2025
The Social Skills Improvement System-Rating Scales (SSIS-RS) and the Social Skills Improvement System Social and Emotional Learning Edition (SSIS SEL) are rating scales used to assess social behavior in children and adolescents. While the SSIS-RS is well-regarded and used worldwide, the SSIS SEL is establishing foothold. In the current study, we…
Descriptors: Rating Scales, Social Behavior, Interpersonal Competence, Test Validity
Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Miranda Kucera; K. Kawena Begay – Communique, 2025
In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
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Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
Dongmei Li; Shalini Kapoor; Ann Arthur; Chi-Yu Huang; YoungWoo Cho; Chen Qiu; Hongling Wang – ACT Education Corp., 2025
Starting in April 2025, ACT will introduce enhanced forms of the ACT® test for national online testing, with a full rollout to all paper and online test takers in national, state and district, and international test administrations by Spring 2026. ACT introduced major updates by changing the test lengths and testing times, providing more time per…
Descriptors: College Entrance Examinations, Testing, Change, Scoring
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