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Carolin Danzer – LUMAT: International Journal on Math, Science and Technology Education, 2024
This paper's purpose is to investigate the attitude of students in mathematical discovery processes in terms of the handling of counterexamples. By understanding this attitude as a kind of scientific attitude, it consists of different aspects that become visible in the behaviour during a mathematical discovery process. Since such a process is…
Descriptors: Student Attitudes, Student Behavior, Foreign Countries, Discovery Learning
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Kunyu Xu; Yu-Min Ku; Chenlu Ma; Chien-Hui Lin; Wan-Chen Chang – Metacognition and Learning, 2024
As an important construct in the cognitive process, comprehension monitoring has received much scholarly attention. Researchers have recognized comprehension monitoring as an ability closely linked with children's reading comprehension ability and working memory capacity. Evidence is also abundant to prove that comprehension monitoring skill…
Descriptors: Eye Movements, Computer Assisted Testing, Memory, Reading Comprehension
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Pornphan Sureeyatanapas; Panitas Sureeyatanapas; Uthumporn Panitanarak; Jittima Kraisriwattana; Patchanan Sarootyanapat; Daniel O'Connell – Language Testing in Asia, 2024
Ensuring consistent and reliable scoring is paramount in education, especially in performance-based assessments. This study delves into the critical issue of marking consistency, focusing on speaking proficiency tests in English language learning, which often face greater reliability challenges. While existing literature has explored various…
Descriptors: Foreign Countries, Students, English Language Learners, Speech
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Ben Backes; James Cowan – Grantee Submission, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated in large-scale administration; and second, the degree to which online and paper assessments offer different information about underlying student…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
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Ben Backes; James Cowan – Applied Measurement in Education, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
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Vinay Kumar Yadav; Shakti Prasad – Measurement: Interdisciplinary Research and Perspectives, 2024
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…
Descriptors: Sampling, Statistical Bias, Predictor Variables, Predictive Measurement
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Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
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Toni Rose T. Agana; Tina M. Sidener; Heather M. Pane; Sharon A. Reeve – Journal of Applied Behavior Analysis, 2024
Previous research has supported selecting development-matched targets rather than age-matched targets to teach play skills to children with autism spectrum disorder. However, few studies have been conducted, and replications and extensions of this research are needed. The current study replicated Pane et al. (2022) by comparing the acquisition of…
Descriptors: Autism Spectrum Disorders, Child Development, Caregiver Child Relationship, Caregiver Attitudes
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Lazarous Mbulo; Glenda Blutcher-Nelson; Pranesh P. Chowdhury; Catherine O. Egbe; Abdallahi Bouhabib; Krishna Palipudi – Health Education Research, 2024
We utilized Global Adult Tobacco Survey data to examine singlestick purchases and related demographic characteristics in 10 African countries (Botswana, Cameroon, Ethiopia, Kenya, Nigeria, Mauritania, Senegal, South Africa, Uganda and Tanzania). Results show the weighted percentages and prevalence ratios with predicted marginal means to evaluate…
Descriptors: Foreign Countries, Smoking, Demography, Age Differences
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Weiyang Xiong; Marcela Radunz; Kathina Ali; Daniel L. King; Mike Kyrios; Yufang Zhao; Daniel B. Fassnacht – Journal of International Students, 2024
University study is a period of psychological vulnerability for many individuals. International college students may be particularly vulnerable to experiencing distress and developing a mental illness due to challenges of relocation and acculturation. The aim of this meta-analytic review was to synthesize the literature on the mental health…
Descriptors: College Students, Foreign Students, Mental Health, Well Being
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Shunji Wang; Katerina M. Marcoulides; Jiashan Tang; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…
Descriptors: Hypothesis Testing, Error of Measurement, Comparative Analysis, Monte Carlo Methods
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Annabel L. Davies; A. E. Ades; Julian P. T. Higgins – Research Synthesis Methods, 2024
Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To include all evidence in one coherent analysis, we require methods to "map" the outcomes onto a single…
Descriptors: Children, Body Composition, Measurement Techniques, Sampling
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Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
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Elise V. van Wijk; Floris M. van Blankenstein; Jeroen Donkers; Roemer J. Janse; Jacqueline Bustraan; Liesbeth G. M. Adelmeijer; Eline A. Dubois; Friedo W. Dekker; Alexandra M. J. Langers – Advances in Health Sciences Education, 2024
Despite the increasing implementation of formative assessment in medical education, its' effect on learning behaviour remains questionable. This effect may depend on how students value formative, and summative assessments differently. Informed by Expectancy Value Theory, we compared test preparation, feedback use, and test-taking motivation of…
Descriptors: Progress Monitoring, Medical Education, Feedback (Response), Student Motivation
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Yazid Meftah Ali Wahas; Akbar Joseph A. Syed – Education and Information Technologies, 2024
Technology has become a fundamental means to encourage reliable and more effective assessments. Rapid technological developments have led to the widespread use of digital platforms and devices in all aspects of life. Educational institutions worldwide had to take advantage of this technological leap during pandemics such as COVID-19, which changed…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Testing, Barriers
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