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Thanyasinee Laosum – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to develop a model for readiness measurement and to study readiness levels for online testing of undergraduate students in Thailand's distance education programs. Design/methodology/approach: In total, 870 undergraduate students enrolled in the 2022 academic year of a Thai university were sampled for the study. The samples…
Descriptors: Foreign Countries, Readiness, Undergraduate Students, Computer Assisted Testing
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Yusha Lv; Xiaoli Wang; Xuemei Zhang; Juan Li – PRIMUS, 2024
This paper first analyzed the shortcomings of the summative final exam methods which focuses only on final exams. Then, we showed the specific implementation of the quantitative formative assessment which includes objective results and subjective scores. Objective results include the traditional written chapter test score, online mid-term and…
Descriptors: Mathematics Tests, Formative Evaluation, Scores, Student Evaluation
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Qutaiba I. Ali – Discover Education, 2024
This paper contributes to the ongoing efforts aimed at enhancing Outcome-Based Education (OBE) assessment methodologies by addressing some critical gaps and exploring new solutions. Our work focuses on two main areas: firstly, this study proposes an improved assessment method for OBE. It refines traditional approaches by classifying course…
Descriptors: Outcome Based Education, Evaluation Methods, Student Evaluation, Artificial Intelligence
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Alice Lemmo – International Journal of Mathematical Education in Science and Technology, 2025
The use of digital technologies in teaching and learning processes has opened new and wide frontiers in mathematics education. Research in education moves towards teaching and learning (and assessing) twenty-first-century skills and computer-based testing seems an interesting possibility for assessing such skills. From this perspective, comparing…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Problem Solving, Mathematics Tests
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Hoa Duong Quang; Hieu Ha Van; Khang Do Ba; Quy Nguyen Huu; Thang Phan Vo Minh; Loc Pham Quoc – Journal of Educators Online, 2025
During COVID-19 lockdowns, Vietnamese universities, like elsewhere, were compelled by social distancing rules to transition from on-site to online education, including examinations. However, many of these universities were not prepared for such sudden and drastic changes. This situation raises questions about if and how the students' cheating…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Student Behavior
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Mathias Benedek; Roger E. Beaty – Journal of Creative Behavior, 2025
The PISA assessment 2022 of creative thinking was a moonshot effort that introduced significant advancements over existing creativity tests, including a broad range of domains (written, visual, social, and scientific), implementation in many languages, and sophisticated scoring methods. PISA 2022 demonstrated the general feasibility of assessing…
Descriptors: Creative Thinking, Creativity, Creativity Tests, Scoring
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Matthew D. Coss – Language Learning & Technology, 2025
The extent to which writing modality (i.e., hand-writing vs. keyboarding) impacts second-language (L2) writing assessment scores remains unclear. For alphabetic languages like English, research shows mixed results, documenting both equivalent and divergent scores between typed and handwritten tests (e.g., Barkaoui & Knouzi, 2018). However, for…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Second Language Learning, Chinese
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Vy Le; Jayson M. Nissen; Xiuxiu Tang; Yuxiao Zhang; Amirreza Mehrabi; Jason W. Morphew; Hua Hua Chang; Ben Van Dusen – Physical Review Physics Education Research, 2025
In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and implement effective and equitable pedagogies for physics instruction. Adaptive assessments using cognitive…
Descriptors: Physics, Science Education, Scientific Concepts, Diagnostic Tests
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Robert N. Prince – Numeracy, 2025
One of the effects of the COVID-19 pandemic was the rapid shift to replacing traditional, paper-based tests with their computer-based counterparts. In many cases, these new modes of delivering tests will remain in place for the foreseeable future. In South Africa, the National Benchmark Quantitative Literacy (QL) test was impelled to make this…
Descriptors: Benchmarking, Numeracy, Multiple Literacies, Paper and Pencil Tests
Joanna Williamson – Research Matters, 2025
Teachers, examiners and assessment experts know from experience that some candidates annotate exam questions. "Annotation" includes anything the candidate writes or draws outside of the designated response space, such as underlining, jotting, circling, sketching and calculating. Annotations are of interest because they may evidence…
Descriptors: Mathematics, Tests, Documentation, Secondary Education
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Ethan Roy; Mathieu Guillaume; Amandine Van Rinsveld; Project iLead Consortium; Bruce D. McCandliss – npj Science of Learning, 2025
Arithmetic fluency is regarded as a foundational math skill, typically measured as a single construct with pencil-and-paper-based timed assessments. We introduce a tablet-based assessment of single-digit fluency that captures individual trial response times across several embedded experimental contrasts of interest. A large (n = 824) cohort of…
Descriptors: Arithmetic, Mathematics Skills, Tablet Computers, Grade 3
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Michael Bass; Scott Morris; Sheng Zhang – Measurement: Interdisciplinary Research and Perspectives, 2025
Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Patients, Outcome Measures
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Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
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