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Matthew M. Grondin; Michael I. Swart; Arushi R. Pandey; Kate Fu; Mitchell J. Nathan – Grantee Submission, 2023
This full paper concerns an exploratory study that investigates students' reasoning about torsion. Mechanical reasoning is critical to engineering applications and yet students still struggle to accurately predict, analyze, and model mechanical systems using formal symbolic notations (i.e., formalizations). To understand the nature of students'…
Descriptors: Engineering Education, Persuasive Discourse, Thinking Skills, Speech Communication

Matthew M. Grondin; Michael I. Swart; Claire Huggett; Kate Fu; Mitchell J. Nathan – Grantee Submission, 2024
This full paper considers how collaborative discourse can reveal ways upper-class engineering students mechanically reason about engineering concepts. Argumentation and negotiation during collaborative, multimodal discourse using speech and gestures helps establish common ground between learners and fosters reflection on their conceptual…
Descriptors: Undergraduate Students, Engineering Education, Discourse Analysis, Speech Communication
McCaffrey, Daniel F.; Zhang, Mo; Burstein, Jill – Grantee Submission, 2022
Background: This exploratory writing analytics study uses argumentative writing samples from two performance contexts--standardized writing assessments and university English course writing assignments--to compare: (1) linguistic features in argumentative writing; and (2) relationships between linguistic characteristics and academic performance…
Descriptors: Persuasive Discourse, Academic Language, Writing (Composition), Academic Achievement
Burstein, Jill; McCaffrey, Daniel; Elliot, Norbert; Beigman Klebanov, Beata – Grantee Submission, 2020
Writing achievement is a complex skill set as characterized by the sociocognitive writing framework, including writing domain knowledge (e.g., sentence structure), general cognitive skills (e.g., critical thinking) and intra- (e.g., interest) and interpersonal (e.g., collaboration) subfactors. During students' postsecondary careers, they need to…
Descriptors: Writing Achievement, Postsecondary Education, College Students, Writing Instruction
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
Jeremy Stoddard; Jais Brohinsky; Derek Behnke; David Shaffer; Codu Marquart; M. Shane Tutweiler; Jason Chen – Grantee Submission, 2022
In this paper, we describe the design for PurpleState, an internship simulation that applies the epistemic game model for informed civic learning. PurpleState places students in the role of interns at a political media firm and asks them to design a media campaign on a state level policy issue. Unlike the use of these models in STEM education,…
Descriptors: Citizenship Education, Educational Games, Teaching Methods, Persuasive Discourse
MacArthur, Charles A.; Jennings, Amanda; Philippakos, Zoi A. – Grantee Submission, 2018
The study developed a model of linguistic constructs to predict writing quality for college basic writers and analyzed how those constructs changed following instruction. Analysis used a corpus of argumentative essays from a quasi-experimental, instructional study with 252 students (MacArthur, Philippakos, & Ianetta, 2015) that found large…
Descriptors: College Students, Writing Skills, Writing Evaluation, Writing Achievement
Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2016
This study examines links between essay quality and text elaboration and text cohesion. For this study, 35 students wrote two essays (on two different prompts) and for each, were given 15 minutes to elaborate on their original text. An expert in discourse comprehension then modified the original and elaborated essays to increase cohesion,…
Descriptors: Essays, Writing Assignments, Writing Skills, Connected Discourse
MacArthur, Charles A.; Traga Philippakos, Zoi A.; May, Henry; Compello, Jill – Grantee Submission, 2021
The paper presents the results of a randomized experimental study of a writing curriculum for college developmental writing courses based on strategy instruction with self-regulation integrated with practices common in college composition. Students in a full semester course learned strategies for planning and revising based on rhetorical analysis…
Descriptors: Learning Strategies, Metacognition, Writing Instruction, Self Efficacy
Allen, Laura K.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2017
The current study examined the degree to which the quality and characteristics of students' essays could be modeled through dynamic natural language processing analyses. Undergraduate students (n = 131) wrote timed, persuasive essays in response to an argumentative writing prompt. Recurrent patterns of the words in the essays were then analyzed…
Descriptors: Writing Evaluation, Essays, Persuasive Discourse, Natural Language Processing
Danielle S. McNamara; Scott A. Crossley; Rod D. Roscoe; Laura K. Allen; Jianmin Dai – Grantee Submission, 2015
This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies onmachine learning techniques that compute essay scores using a set of text variables. Unlike previous studies that rely on regression models, this study computes essay scores using a hierarchical…
Descriptors: Automation, Scoring, Essays, Persuasive Discourse
Crossley, Scott A.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2014
The study applied the Multi-Dimensional analysis used by Biber (1988) to examine the functional parameters of essays. Co-occurrence patterns were identified within an essay corpus (n=1529) using a linguistic indices provided by Co-Metrix. These patterns were used to identify essay groups that shared features based upon situational parameters.…
Descriptors: Essays, Writing (Composition), Computational Linguistics, Cues