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Patel, Nirmal; Sharma, Aditya; Shah, Tirth; Lomas, Derek – Journal of Educational Data Mining, 2021
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…
Descriptors: Learning Analytics, National Competency Tests, Evaluation Methods, Prediction
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Brown, Benjamin; Singh, Chandralekha – Physical Review Physics Education Research, 2021
We discuss the development and validation of a conceptual multiple-choice survey instrument called the survey of thermodynamic processes and first and second laws (STPFaSL) suitable for introductory physics courses. The survey instrument uses common student difficulties with these concepts as resources in that the incorrect answers to the…
Descriptors: Test Construction, Test Validity, Thermodynamics, Scientific Concepts
Takshak Desai – ProQuest LLC, 2021
Reading comprehension can be analyzed from three points of view: Semantics, Assessment, and Cognition. Here, Semantics refers to the task of identifying discourse relations in text. Assessment involves utilizing these relations to obtain meaningful question-answer pairs. Cognition means categorizing questions according to their difficulty or…
Descriptors: Reading Comprehension, Semantics, Questioning Techniques, Language Processing
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Sarallah Jafaripour; Omid Tabatabaei; Hadi Salehi; Hossein Vahid Dastjerdi – International Journal of Language Testing, 2024
The purpose of this study was to examine gender and discipline-based Differential Item Functioning (DIF) and Differential Distractor Functioning (DDF) on the Islamic Azad University English Proficiency Test (IAUEPT). The study evaluated DIF and DDF across genders and disciplines using the Rasch model. To conduct DIF and DDF analysis, the examinees…
Descriptors: Item Response Theory, Test Items, Language Tests, Language Proficiency
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Anthony Howcroft; Daniel King – Journal of College Science Teaching, 2024
Students come into the classroom with a variety of background knowledge. Therefore, it is imperative that educators are able to help all students, regardless of their familiarity with the content. Since it can be challenging for some large enrollment classes to schedule recitation classes after lectures due to logistical constraints, this study…
Descriptors: Time, Course Content, Student Evaluation, Tests
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Gülden Kaya Uyanik; Tugba Demirtas Tolaman; Aysegül Kirtel – Pegem Journal of Education and Instruction, 2024
The concept of large-scale assessment has long been on the concern of the education system worldwide. PISA, which is one of the large-scale international assessment, has been administered in a number of countries worldwide since 2000. When PISA was first launched, there was an "unconditional acceptance" of this new application worldwide,…
Descriptors: Native Language, International Assessment, Foreign Countries, Achievement Tests
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Budi Waluyo; Ali Zahabi; Luksika Ruangsung – rEFLections, 2024
The increasing popularity of the Common European Framework of Reference (CEFR) in non-native English-speaking countries has generated a demand for concrete examples in the creation of CEFR-based tests that assess the four main English skills. In response, this research endeavors to provide insight into the development and validation of a…
Descriptors: Language Tests, Language Proficiency, Undergraduate Students, Language Skills
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Rujun Xu; James Soland – International Journal of Testing, 2024
International surveys are increasingly being used to understand nonacademic outcomes like math and science motivation, and to inform education policy changes within countries. Such instruments assume that the measure works consistently across countries, ethnicities, and languages--that is, they assume measurement invariance. While studies have…
Descriptors: Surveys, Statistical Bias, Achievement Tests, Foreign Countries
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Tran, Tich Phuoc; Meacheam, David – IEEE Transactions on Learning Technologies, 2020
The use of learning management systems (LMSs) for learning and knowledge sharing has accelerated quickly both in education and corporate worlds. Despite the benefits brought by LMSs, the current systems still face significant challenges, including the lack of automation in generating quiz questions and managing courses. Over the past decade, more…
Descriptors: Integrated Learning Systems, Test Construction, Test Items, Automation
Crisp, Victoria; Macinska, Sylwia – Research Matters, 2020
As part of continued efforts to ensure inclusivity in assessment, OCR has developed a set of accessibility principles for question design in GCSE Science examinations, which has been applied since 2018. The principles are intended to help ensure that all students can demonstrate their knowledge, understanding and skills to the best of their…
Descriptors: Foreign Countries, Exit Examinations, Science Tests, Test Construction
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French, Brian F.; Vo, Thao T. – Journal of Psychoeducational Assessment, 2020
The Washington Assessment of Risk and Needs of Students (WARNS) is a brief self-report measure designed for schools, courts, and youth service providers to identify student behaviors and contexts related to school truancy. Empirical support for WARNS item invariance between ethnic groups is lacking. This study examined differential item…
Descriptors: Truancy, Student Behavior, Test Bias, Measures (Individuals)
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Zhou, Sherry; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2020
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…
Descriptors: Models, Statistical Analysis, Response Style (Tests), Test Items
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Beck, Klaus – Frontline Learning Research, 2020
Many test developers try to ensure the content validity of their tests by having external experts review the items, e.g. in terms of relevance, difficulty, or clarity. Although this approach is widely accepted, a closer look reveals several pitfalls need to be avoided if experts' advice is to be truly helpful. The purpose of this paper is to…
Descriptors: Content Validity, Psychological Testing, Educational Testing, Student Evaluation
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