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Luan, Lin; Liang, Jyh-Chong; Chai, Ching Sing; Lin, Tzu-Bin; Dong, Yan – Interactive Learning Environments, 2023
The emergence of new media technologies has empowered individuals to not merely consume but also create, share and critique media contents. Such activities are dependent on new media literacy (NML) necessary for living and working in the participatory culture of the twenty-first century. Although a burgeoning body of research has focused on the…
Descriptors: Foreign Countries, Media Literacy, Test Construction, English (Second Language)
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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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Vucaj, Indrit – Journal of Research on Technology in Education, 2022
This study presents the methodological and procedural development process of the Digital Age Teaching Scale (DATS), a summative assessment tool designed to measure application of the ISTE Standards for Educators in K-12 classrooms. The theoretical framework of the ISTE Standards for Educators informed the development of DATS, and an 8-step process…
Descriptors: Elementary Secondary Education, Standards, Test Construction, Test Items
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Amber Dudley; Emma Marsden; Giulia Bovolenta – Language Testing, 2024
Vocabulary knowledge strongly predicts second language reading, listening, writing, and speaking. Yet, few tests have been developed to assess vocabulary knowledge in French. The primary aim of this pilot study was to design and initially validate the Context-Aligned Two Thousand Test (CA-TTT), following open research practices. The CA-TTT is a…
Descriptors: French, Vocabulary Development, Secondary School Students, Language Tests
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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
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Erol, Ahmet; Yurdakal, Ibrahim Halil; Tekin Karagöz, Ceren – Malaysian Online Journal of Educational Technology, 2023
The "metaverse," which bridges augmented and virtual reality as mixed reality and includes technological phenomena such as artificial intelligence, continues to be an agenda topic. It is foreseen that the concept in question will accelerate the changes in education and teaching activities, as in many other fields. In this research, a…
Descriptors: Computer Simulation, Artificial Intelligence, Likert Scales, Preservice Teachers
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Laura S. Kabiri; Catherine R. Barber; Thomas M. McCabe; Augusto X. Rodriguez – HAPS Educator, 2024
Multiple-choice questions (MCQs) are commonly used in undergraduate introductory science, technology, engineering, and mathematics (STEM) courses, and substantial evidence supports the use of student-created questions to promote learning. However, research on student-created MCQ exams as an assessment method is more limited, and no studies have…
Descriptors: Physiology, Science Tests, Student Developed Materials, Test Construction
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
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Jonker, Femke; Didden, Robert; Goedhard, Laurette; Korzilius, Hubert; Nijman, Henk – Journal of Applied Research in Intellectual Disabilities, 2021
Background: Since the DSM-5, adaptive functioning has taken a prominent place in the classification of intellectual disability (ID). The ADAPT was developed to assess adaptive skills in individuals with ID. Method: A total of 2,081 ADAPTs from clients with suspected ID or borderline intellectual functioning and 129 ADAPTs from people from the…
Descriptors: Intellectual Disability, Test Construction, Mild Intellectual Disability, Individual Characteristics
Mohammed Ambusaidi – ProQuest LLC, 2022
There is an increased demand on nursing faculty to provide quality teaching and assessment. Nursing faculty are required to ensure accurate assessment of learning through testing and outcome measurement that are critical elements of the evaluation process. Likewise, nursing faculty should implement a logical evaluation system. However, the…
Descriptors: Nursing Education, College Faculty, Test Construction, Test Validity
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Kim, Nahee – Language Teaching Research Quarterly, 2022
Professor Glenn Fulcher's research has influenced language testing and assessment in two ways: in proposing a new understanding of data-driven speaking test design, and in drawing attention to the core identity of language testers. The former has had a powerful impact on practical speaking testing and assessment. The latter has asked a very…
Descriptors: Cheating, Test Preparation, Language Tests, Test Construction
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2018
The choice of anchor tests is crucial in applications of the nonequivalent groups with anchor test design of equating. Sinharay and Holland (2006, 2007) suggested "miditests," which are anchor tests that are content-representative and have the same mean item difficulty as the total test but have a smaller spread of item difficulties.…
Descriptors: Test Content, Difficulty Level, Test Items, Test Construction
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Tatarinova, Galiya; Neamah, Nour Raheem; Mohammed, Aisha; Hassan, Aalaa Yaseen; Obaid, Ali Abdulridha; Ismail, Ismail Abdulwahhab; Maabreh, Hatem Ghaleb; Afif, Al Khateeb Nashaat Sultan; Viktorovna, Shvedova Irina – International Journal of Language Testing, 2023
Unidimensionality is an important assumption of measurement but it is violated very often. Most of the time, tests are deliberately constructed to be multidimensional to cover all aspects of the intended construct. In such situations, the application of unidimensional item response theory (IRT) models is not justifieddue to poor model fit and…
Descriptors: Item Response Theory, Test Items, Language Tests, Correlation
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O'Grady, Stefan – Language Teaching Research, 2023
The current study explores the impact of varying multiple-choice question preview and presentation formats in a test of second language listening proficiency targeting different levels of text comprehension. In a between-participant design, participants completed a 30-item test of listening comprehension featuring implicit and explicit information…
Descriptors: Language Tests, Multiple Choice Tests, Scores, Second Language Learning
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