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Ketterlin-Geller, Leanne R.; Perry, Lindsey; Adams, Elizabeth – Applied Measurement in Education, 2019
Despite the call for an argument-based approach to validity over 25 years ago, few examples exist in the published literature. One possible explanation for this outcome is that the complexity of the argument-based approach makes implementation difficult. To counter this claim, we propose that the Assessment Triangle can serve as the overarching…
Descriptors: Validity, Educational Assessment, Models, Screening Tests
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Jacobson, Erik; Svetina, Dubravka – Applied Measurement in Education, 2019
Contingent argument-based approaches to validity require a unique argument for each use, in contrast to more prescriptive approaches that identify the common kinds of validity evidence researchers should consider for every use. In this article, we evaluate our use of an approach that is both prescriptive "and" argument-based to develop a…
Descriptors: Test Validity, Test Items, Test Construction, Test Interpretation
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Deb, Kaustuv; Banerjee, Sonali; Das, Atanu; Bag, Rajib – International Journal of Information and Communication Technology Education, 2019
Tutorial requirements of student modeling are traditionally identified by human tutors through crisp mental calculations, and the accuracy of this identification enhances with the experience of the tutor. These identifications become challenging when the mode of delivery is through e-learning. Automatic identification of tutorial requirements must…
Descriptors: Intelligent Tutoring Systems, Automation, Identification, Multiple Choice Tests
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Callan, Gregory L.; Cleary, Timothy J. – Metacognition and Learning, 2019
The current study used microanalytic interviews and behavioral traces to examine sequential phase relations among forethought, performance, and self-reflection processes, and to investigate the predictive influence of these processes on mathematics performance of 96 eighth grade students. Consistent with expectations, students' microanlaytic goals…
Descriptors: Prediction, Learning Processes, Metacognition, Learning Strategies
Harmon, Zara – ProQuest LLC, 2019
This dissertation explores the effects of frequency on the learning and use of linguistic constructions. The work examines the influence of frequency on form choice in production and meaning inference in comprehension and discusses the effect of each modality on diachronic patterns of change in language. In production, high frequency of a form…
Descriptors: Language Usage, Inferences, Language Processing, Diachronic Linguistics
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Whitehill, Jacob; Aguerrebere, Cecilia; Hylak, Benjamin – International Educational Data Mining Society, 2019
We explored how learners' "subjective ratings" of open educational resources (OERs) in terms of how much they find them "helpful" can predict the actual "learning gains" associated with those resources as measured with pre- and post-tests. To this end, we developed a probabilistic model called GRAM (Gaussian Rating…
Descriptors: Open Educational Resources, Electronic Publishing, Collaborative Writing, Web Sites
Lee, Steven Fong-yi – ProQuest LLC, 2019
In this dissertation I argue that truth-conditional semantics for vague predicates, combined with a Bayesian account of statistical inference incorporating knowledge of truth-conditions of utterances, generates false predictions regarding negations and metalinguistic inference. I thus propose a fundamentally probabilistic semantics for vagueness…
Descriptors: Semantics, Bayesian Statistics, Metalinguistics, Language Usage
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Christopher E. Zwilling; Ana M. Daugherty; Charles H. Hillman; Arthur F. Kramer; Neal J. Cohen; Aron K. Barbey – npj Science of Learning, 2019
A central aim of research in the psychological and decision sciences is to establish interventions that enhance performance, investigating the efficacy of modern approaches to improve human inference and decision-making. Whereas the decision sciences have established interventions to reduce decision biases by promoting strategies for critical…
Descriptors: Decision Making Skills, Learning Modalities, Inferences, Adults
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Suk, Youmi; Kim, Jee-Seon; Kang, Hyunseung – Journal of Educational and Behavioral Statistics, 2021
There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…
Descriptors: Artificial Intelligence, Statistical Analysis, Statistical Inference, Classification
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Maguet, McKenna Louise; Morrison, Timothy G.; Wilcox, Brad; Billen, Monica T. – Reading Psychology, 2021
Reading comprehension is the goal of reading, and making inferences is vital. Authors usually expect readers to make multiple types of inferences, including anaphoric, background knowledge, predictive, and retrospective. Common core assessments include all of these, yet instructional materials focus mostly on only one type, retrospective. This…
Descriptors: Children, Reading Comprehension, Reading Instruction, Instructional Effectiveness
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Chen, Cheng; Bao, Lei; Fritchman, Joseph C.; Ma, Hemin – Physical Review Physics Education Research, 2021
Causal reasoning is a fundamental cognitive process that supports a wide range of learning activities such as making predictions and inferences, explaining phenomena, and drawing conclusions. In physics learning, causal reasoning plays an important role in developing conceptual understanding and problem-solving skills. This study builds off the…
Descriptors: Attribution Theory, Thinking Skills, Prediction, Inferences
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Assessment for Effective Intervention, 2021
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
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Klassen, Kimberly – Reading Matrix: An International Online Journal, 2021
This study investigated how well second language (L2) readers of English use context to identify proper names as such. It represents a first step in exploring a widely held assumption that L2 readers of English can easily identify proper names by their form and function. The study isolates the issue of function to investigate whether context alone…
Descriptors: English (Second Language), Second Language Learning, Japanese, Native Language
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Prichard, Caleb; Atkins, Andrew – Reading Matrix: An International Online Journal, 2021
Studies have shown that vocabulary can be acquired in second language reading, but researchers have not explicitly examined which vocabulary coping strategies lead to higher rates of vocabulary learning. This study aims to fill this gap by examining the effect of various strategies using eye tracking and navigation tracking. The strategies…
Descriptors: Vocabulary Development, Coping, Incidental Learning, Eye Movements
Sherrylynn Jennifer S. Carantes; Ryan Jayson V. Delos Reyes – Online Submission, 2021
This study underpinned the authentic materials using images for reading comprehension. It sought to determine the proficiency level of the respondents in reading comprehension skills along with vocabulary, making inferences, sequencing events, and drawing conclusions and proficiency level of the respondents in the comprehension of advertisements,…
Descriptors: Imagery, Visual Aids, Illustrations, Reading Comprehension
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