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Matthew T. McCrudden; Linh Huynh; Bailing Lyu; Jonna M. Kulikowich; Danielle S. McNamara – Grantee Submission, 2024
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…
Descriptors: Reading Processes, Reading Comprehension, Undergraduate Students, Evolution
Kayrn P. Higgs; Alecia M. Santuzzi; Cody Gibson; Ryan D. Kopatich; Daniel P. Feller; Joseph P. Magliano – Grantee Submission, 2023
Reading is typically guided by a task or goal (e.g., studying for a test, writing a paper). A reader's task awareness arises from their mental representation of the task and plays an important role in guiding reading processes, ultimately influencing comprehension outcomes and task success. As such, a better understanding of how task awareness…
Descriptors: Reading Comprehension, Reading Strategies, Task Analysis, Mediation Theory
McCarthy, Kathryn S.; Magliano, Joseph P.; Snyder, Jacob O.; Kenney, Elizabeth A.; Newton, Natalie N.; Perret, Cecile A.; Knezevic, Melanie; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2021
The objective in the current paper is to examine the processes of how our research team negotiated meaning using an iterative design approach as we established, developed, and refined a rubric to capture comprehension processes and strategies evident in students' verbal protocols. The overarching project comprises multiple data sets, multiple…
Descriptors: Scoring Rubrics, Interrater Reliability, Design, Learning Processes
Allen, Laura Kristen; Magliano, Joseph P.; McCarthy, Kathryn S.; Sonia, Allison N.; Creer, Sarah D.; McNamara, Danielle S. – Grantee Submission, 2021
The current study examined the extent to which the cohesion detected in readers' constructed responses to multiple documents was predictive of persuasive, source-based essay quality. Participants (N=95) completed multiple-documents reading tasks wherein they were prompted to think-aloud, self-explain, or evaluate the sources while reading a set of…
Descriptors: Reading Comprehension, Connected Discourse, Reader Response, Natural Language Processing
Martha L. Esptein; Hamza Malik; Kun Wang; Chandra H. Orrill – Grantee Submission, 2023
It is essential for items in assessments of mathematics' teacher knowledge to evoke the desired response processes -- to be interpreted and responded to by teachers as intended by item developers. In this study, we sought to unpack evidence that middle school mathematics teachers were not consistently interacting as intended with constructed…
Descriptors: Pedagogical Content Knowledge, Mathematics Teachers, Mathematics Instruction, Protocol Analysis
Flynn, Lauren E.; McNamara, Danielle S.; McCarthy, Kathryn S.; Magliano, Joseph P.; Allen, Laura K. – Grantee Submission, 2021
Successful text comprehension requires readers to engage in a number of coherence-building processes. This study examined how analyzing the cohesion of students 'constructed responses can be used to evaluate these coherence-building processes and the extent to which they vary across readers' individual differences and across types of texts. We…
Descriptors: Reading Comprehension, Individual Differences, Protocol Analysis, Literary Genres
Chandra Hawley Orrill; Martha Epstein; Kun Wang; Hamza Malik; Yasemin Copur-Gencturk – Grantee Submission, 2021
Measures of teacher mathematical knowledge are notoriously difficult to develop (e.g., Orrill et al., 2015). This is in part because of the multidimensional nature of teacher knowledge. As part of two separate projects being undertaken by this research team, we have attempted to write assessments of teacher pedagogical content knowledge (PCK) in…
Descriptors: Mathematics Instruction, Pedagogical Content Knowledge, Mathematics Tests, Thinking Skills
Sonia, Allison N.; Joseph, Magliano P.; McCarthy, Kathryn S.; Creer, Sarah D.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2022
The constructed responses individuals generate while reading can provide insights into their coherence-building processes. The current study examined how the cohesion of constructed responses relates to performance on an integrated writing task. Participants (N = 95) completed a multiple document reading task wherein they were prompted to think…
Descriptors: Natural Language Processing, Connected Discourse, Reading Processes, Writing Skills
Johnson, Evelyn S.; Zheng, Yuzhu; Moylan, Laura A.; Crawford, Angela – Grantee Submission, 2020
In this study, we investigated factors that influence raters' application of the scoring criteria of an Explicit Instruction (EI) observation protocol using many-faceted Rasch measurement (MFRM) and think aloud analysis. Specifically, we investigated the extent to which raters are able to consistently represent the scoring criteria in the EI…
Descriptors: Interrater Reliability, Teacher Evaluation, Special Education Teachers, Item Response Theory
Cromley, J. G.; Ma, S.; Van Boekel, M.; Dane, N. – Grantee Submission, 2020
When reading scientific text, readers must draw inferences when the author does not make relations explicit; readers also need to pick up on causal relations that the author "does" make explicit. We collected think-aloud protocols from 86 undergraduate biology students reading 7 brief, illustrated passages about the immune system. After…
Descriptors: Inferences, Protocol Analysis, Undergraduate Students, Attribution Theory
Magliano, Joseph P.; Lampi, Jodi P.; Ray, Melissa; Chan, Greta – Grantee Submission, 2020
Coherent mental models for successful comprehension require inferences that establish semantic "bridges" between discourse constituents and "elaborations" that incorporate relevant background knowledge. While it is established that individual differences in the extent to which postsecondary students engage in these processes…
Descriptors: Reading Comprehension, Reading Strategies, Inferences, Reading Tests
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
Stephanie Y. Shire; Stacy Arbuckle; Wenjing Bao – Grantee Submission, 2022
Purpose: Technology-enabled adaptations of efficacious in-person early intervention programs for young children with autism spectrum disorder have the potential to conserve resources while increasing access to specialized educational services. Usability testing of online programs can support participant engagement by aligning program navigation…
Descriptors: Technology Uses in Education, Early Intervention, Young Children, Autism
Dai, Ting; Van Boekel, Martin; Cromley, Jennifer; Nelson, Frank; Fechter, Tia – Grantee Submission, 2018
This case study describes how our research team conducted the qualitative think-aloud approach (or cognitive pretesting) to obtaining cognitive validity evidence for a biology inference-making and reasoning measure for undergraduate students. The main goal of our work was to gather high-quality student think-aloud data of reasoning while they were…
Descriptors: Biology, Science Instruction, Problem Solving, Teaching Methods
Joseph P. Magliano; Lauren Flynn; Daniel P. Feller; Kathryn S. McCarthy; Danielle S. McNamara; Laura Allen – Grantee Submission, 2022
The goal of this study was to assess the relationships between computational approaches to analyzing constructed responses made during reading and individual differences in the foundational skills of reading in college readers. We also explored if these relationships were consistent across texts and samples collected at different institutions and…
Descriptors: Semantics, Computational Linguistics, Individual Differences, Reading Materials
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