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Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
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Alix Seigneuric; Carsten Elbro; Jane Oakhill; Hakima Megherbi – Discourse Processes: A Multidisciplinary Journal, 2024
A referential metaphor is a cohesive tie between lexical items that are metaphorically related, (e.g. "'The seagull' took the bread from the coffee table. No one heard the 'thief'"). The reference from "the thief" back to "the seagull" is metaphorical because thieves are human. The present article presents arguments…
Descriptors: Reading Comprehension, Figurative Language, Reading Processes, Inferences
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Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
Meredith O'Neil – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how reading teachers in southern urban schools described their use of prior knowledge and text clues in instructing high functioning ASD students in their use of inferencing to improve their reading comprehension. There were three research questions used in this study: RQ1: How do…
Descriptors: Reading Comprehension, Autism Spectrum Disorders, Urban Schools, Inferences
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Alrik Thiem; Lusine Mkrtchyan – Field Methods, 2024
Qualitative comparative analysis (QCA) is an empirical research method that has gained some popularity in the social sciences. At the same time, the literature has long been convinced that QCA is prone to committing causal fallacies when confronted with non-causal data. More specifically, beyond a certain case-to-factor ratio, the method is…
Descriptors: Qualitative Research, Comparative Analysis, Research Methodology, Benchmarking
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Brandon M. Woo; Shari Liu; Elizabeth S. Spelke – Developmental Science, 2024
Does knowledge of other people's minds grow from concrete experience to abstract concepts? Cognitive scientists have hypothesized that infants' first-person experience, acting on their own goals, leads them to understand others' actions and goals. Indeed, classic developmental research suggests that before infants reach for objects, they do not…
Descriptors: Infants, Cognitive Processes, Inferences, Infant Behavior
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Inmaculada Fajardo; Holly Joseph – Journal of Autism and Developmental Disorders, 2024
Students with Autism Spectrum Disorder (ASD) tend to struggle with reading comprehension, often resulting in difficulties with inference generation. While most of the previous research has focused on the product of comprehension, we report a preliminary validation of an experimental reading task in English to measure, by means of eye-movements,…
Descriptors: Autism Spectrum Disorders, Reading Comprehension, Reading Difficulties, Inferences
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Cody Ding – Educational Psychology Review, 2024
In the article "It's Just an Observation," Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It's just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with…
Descriptors: Journal Articles, Educational Psychology, Quality Assurance, Barriers
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Meng Qiu; Ke-Hai Yuan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) is a widely used technique for detecting unobserved population heterogeneity in cross-sectional data. Despite its popularity, the performance of LCA is not well understood. In this study, we evaluate the performance of LCA with binary data by examining classification accuracy, parameter estimation accuracy, and coverage…
Descriptors: Classification, Sample Size, Monte Carlo Methods, Social Science Research
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Nana Kwon – English Teaching, 2024
This study investigates how working memory (WM) capacity and L2 linguistic knowledge affect L2 literal and inferential reading comprehension, considering the presence or absence of background knowledge. Eighty upper-intermediate to advanced adult English learners participated, completing tasks to assess WM capacity, background knowledge, L2…
Descriptors: Short Term Memory, Prior Learning, Second Language Learning, Knowledge Level
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Afshar, Hassan Soodmand; Ranjbar, Naser – Iranian Journal of Language Teaching Research, 2023
The quality of mixing methods has been widely debated in the field of applied linguistics (AL) and the integration of data from both quantitative and qualitative research paradigms has always been open to controversy. The present study was aimed at recognizing the status quo of MMR in AL, investigating the nature of various sections of MMR…
Descriptors: Mixed Methods Research, Applied Linguistics, Research Reports, Sampling
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Cranford, Edward A.; Moss, Jarrod – Discourse Processes: A Multidisciplinary Journal, 2023
When a situation could lead to multiple mutually exclusive consequences, recent research shows that people automatically generate multiple predictive inferences in memory. Several theoretical mechanisms have been proposed to account for the generation of predictive inferences. One hypothesis is that inferences are minimally encoded, represented…
Descriptors: Prediction, Inferences, Cognitive Processes, Semantics
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Abolghasem, Zahra; Teng, Tiffany H.-T.; Nexha, Elida; Zhu, Cherrie; Jean, Cindy S.; Castrillon, Mariana; Che, Eric; Di Nallo, Eva V.; Schlichting, Margaret L. – Developmental Science, 2023
Even once children can accurately remember their experiences, they nevertheless struggle to use those memories in flexible new ways--as in when drawing inferences. However, it remains an open question as to whether the developmental differences observed during both memory formation and inference itself represent a fundamental limitation on…
Descriptors: Memory, Inferences, Learning Processes, Young Children
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Chalmers, R. Philip – Journal of Educational Measurement, 2023
Several marginal effect size (ES) statistics suitable for quantifying the magnitude of differential item functioning (DIF) have been proposed in the area of item response theory; for instance, the Differential Functioning of Items and Tests (DFIT) statistics, signed and unsigned item difference in the sample statistics (SIDS, UIDS, NSIDS, and…
Descriptors: Test Bias, Item Response Theory, Definitions, Monte Carlo Methods
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Yusuke Uegatani; Hiroki Otani – For the Learning of Mathematics, 2023
This paper aims to reveal the potential of inferentialism, an emerging philosophy in mathematics education, to extend contemporary constructivist research regarding conceptual development. Going against the traditional view of a notion as the name of a corresponding concept and a constructivist way of naming second-order models, we provide a new…
Descriptors: Inferences, Constructivism (Learning), Mathematics Education, Educational Philosophy
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