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Computer-Based Writing Instruction.

Published on Jan 1, 2016
Laura K. Allen10
Estimated H-index: 10
,
Matthew E. Jacovina6
Estimated H-index: 6
,
Danielle S. McNamara50
Estimated H-index: 50
Abstract
  • References (56)
  • Citations (15)
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References56
Newest
#1Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
#2Scott A. Crossley (GSU: Georgia State University)H-Index: 29
Last. Jianmin Dai (ASU: Arizona State University)H-Index: 4
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a b s t r a c t This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies on machine 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 approach, analogous to an incremental algorithm for hierarchical classification. The corpus in this study consists of 1243 argumentat...
52 CitationsSource
#1Rod D. Roscoe (ASU: Arizona State University)H-Index: 19
#2Laura K. Allen (ASU: Arizona State University)H-Index: 10
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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47 CitationsSource
Jul 4, 2014 in EDM (Educational Data Mining)
#1Laura K. Varner (ASU: Arizona State University)H-Index: 6
#2Erica L. Snow (ASU: Arizona State University)H-Index: 9
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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We investigate how writing proficiency relates to the flexible use of cohesion. Forty-five students wrote 16 essays across 8 sessions. Natural language processing techniques were used to calculate the cohesion of each essay. Random walk and Euclidian distance measures were then used to visualize and classify students’ flexibility in cohesion across the essays. Results revealed that students who were more flexible in their cohesion also had greater literacy skills and prior knowledge. Further, co...
12 Citations
#1Laura K. Allen (ASU: Arizona State University)H-Index: 10
#2Scott A. Crossley (GSU: Georgia State University)H-Index: 29
Last. Danielle S. McNamaraH-Index: 50
view all 4 authors...
Laura K. Allen, Arizona State University Scott A. Crossley, Georgia State University Erica L. Snow, Arizona State University Danielle S. McNamara, Arizona State University The Writing Pal (W-Pal) is an intelligent tutoring system (ITS) designed to provide students with explicit writing strategy instruction and practice. W-Pal includes a suite of educational games developed to increase writing engagement and provide opportunities to practice writing strategies. In this study, first (L1) (n = 26) ...
39 Citations
#2Arthur C. Graesser (University of Oxford)H-Index: 77
Last. Zhiqiang Cai (ASU: Arizona State University)H-Index: 2
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Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Section II shifts to the practical arena,...
158 Citations
Jan 1, 2014 in EDM (Educational Data Mining)
#1Scott A. Crossley (GSU: Georgia State University)H-Index: 29
#2Kris Kyle (GSU: Georgia State University)H-Index: 2
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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The current study examined relationships between expert human judgments of text quality and grammar and mechanical errors in student writing. A corpus of essays (N = 100) written by high school students in the W-Pal system was collected, coded for grammar and mechanical errors, and scored by expert human raters. Results revealed weak relations between grammar errors and holistic essay scores and stronger relations between mechanics and holistic essay scores. Implications for essay scoring algori...
5 Citations
#1G. Tanner Jackson (ASU: Arizona State University)H-Index: 17
One strength of educational games stems from their potential to increase students’ motivation and engagement during educational tasks. However, game features may also detract from principle learning goals and interfere with students’ ability to master the target material. To assess the potential impact of game-based learning environments, in this study we examined motivation and learning for 84 high-school students across eight 1-hr sessions comparing 2 versions of a reading strategy tutoring sy...
86 CitationsSource
The Writing Pal (W-Pal) is a novel intelligent tutoring system (ITS) that offers writing strategy instruction, game-based practice, essay writing practice, and formative feedback to developing writers. Compared to more tractable and constrained learning domains for ITS, writing is an ill-defined domain because the features of effective writing are difficult to quantify and individual writers can employ diverse strategies to achieve similar goals. The development of an ITS in an ill-defined domai...
62 CitationsSource
#1Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
#2Scott A. Crossley (GSU: Georgia State University)H-Index: 29
Last. Rod D. Roscoe (ASU: Arizona State University)H-Index: 19
view all 3 authors...
The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must consider a broad array of linguistic, rhetorical, and contextual features. This study assesses the potential for computational indices to predict human rating...
68 CitationsSource
#1Rod D. Roscoe (ASU: Arizona State University)H-Index: 19
#2Laura K. Varner (ASU: Arizona State University)H-Index: 5
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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Various computer tools have been developed to support educators' assessment of student writing, including automated essay scoring and automated writing evaluation systems. Research demonstrates that these systems exhibit relatively high scoring accuracy but uncertain instructional efficacy. Students' writing proficiency does not necessarily improve as a result of interacting with the software. One question is whether these systems offer appropriate or sufficient formative feedback to students ab...
14 CitationsSource
Cited By15
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#1Elaine Lin Wang (AN: RAND Corporation)
#1Elaine Lin Wang (AN: RAND Corporation)H-Index: 2
Last. Rafael Quintana (University of Pittsburgh)
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Abstract We investigate students’ implementation of the feedback messages they received in an automated writing evaluation system (eRevise) that aims to improve students’ use of text evidence in their writing. Seven 5th and 6th-grade teachers implemented eRevise (n = 143 students). Qualitative analysis of students’ essays across first and second drafts suggests that the majority of students made changes to their essays that were in line with the feedback they received, though few of these change...
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#1Rianne Conijn (Tilburg University)H-Index: 2
#2Menno van Zaanen (Tilburg University)H-Index: 12
Last. Luuk Van Waes (University of Antwerp)H-Index: 14
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Automated writing evaluation tools have been shown to improve writing quality. However, the impact of automated feedback, and especially the timing of the feedback, on students’ writing process is still unknown. Hence, we analyzed how feedback timing influences the revision process. Three experimental conditions were implemented into the writing tool CyWrite: no feedback, immediate feedback during the drafting and revision stage, and feedback during the revision stage only. Keystroke data were c...
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#1Kathryn S. McCarthy (GSU: Georgia State University)H-Index: 3
#2Rod D. Roscoe (ASU: Arizona State University)H-Index: 19
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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This study investigated the effect of incorporating spelling and grammar checking tools within an automated writing tutoring system, Writing Pal. High school students (n = 119) wrote and revised six persuasive essays. After initial drafts, all students received formative feedback about writing strategies. Half of the participants were also given access to spelling and grammar checking tools during the writing and revision periods. Linear mixed effects models revealed that essay quality for stude...
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#1Laura K. Allen (MSU: Mississippi State University)H-Index: 1
#2Aaron D. Likens (NU: University of Nebraska–Lincoln)H-Index: 7
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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The assessment of argumentative writing generally includes analyses of the specific linguistic and rhetorical features contained in the individual essays produced by students. However, researchers have recently proposed that an individual’s ability to flexibly adapt the linguistic properties of their writing may more accurately capture their proficiency. However, the features of the task, learner, and educational context that influence this flexibility remain largely unknown. The current study e...
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#1Carola Strobl (University of Antwerp)H-Index: 3
#2Emilie Ailhaud (University of Lyon)H-Index: 1
Last. Christian Rapp (Winterthur Museum, Garden and Library)H-Index: 4
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Abstract This paper presents a review of the technologies designed to support writing instruction in secondary and higher education. The review covers tools to support first and second language writers and focuses on instructional affordances based on their technological specifications. Previous studies in this field centred on Automated Writing Evaluation, Automated Essay Scoring and the rarer Intelligent Tutoring Systems, addressing mainly essay writing needs in US secondary school instruction...
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Purpose With the advent of the internet and communication technology, the penetration of e-learning has increased. The digital data being created by the educational and research institutions is also on the ascent. The growing interest in recent years toward big data, educational data mining and learning analytics has motivated the development of new analytical ways and approaches and advancements in learning settings. The need for using big data to handle, analyze this large amount of data is pr...
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#1Otto Kruse (Zurich University of Applied Sciences/ZHAW)H-Index: 6
#2Christian Rapp (Zurich University of Applied Sciences/ZHAW)H-Index: 4
This chapter extends the scope of the term ‘seamless learning’ to include writing as one of the most prominent learning activities in education. The seamless learning concept is used to analyse the ongoing flow of digital innovation with respect to the changing instructional and intellectual positioning of writing in its various contexts. The term ‘seams’ is interpreted as frictions or barriers in the writer’s experience, and the concept of ‘seamlessness’ refers to coherence in the practice and ...
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#1Laura K. Allen (MSU: Mississippi State University)H-Index: 1
#2Aaron D. Likens (ASU: Arizona State University)H-Index: 7
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 50
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The assessment of writing proficiency generally includes analyses of the specific linguistic and rhetorical features contained in the singular essays produced by students. However, researchers have recently proposed that an individual's ability to flexibly adapt the linguistic properties of their writing might more closely capture writing skill. However, the features of the task, learner, and educational context that influence this flexibility remain largely unknown. The current study extends th...
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#1Christian Rapp (Zürcher Fachhochschule)H-Index: 4
#2Peter Emau KaufH-Index: 1
No thesis - no graduation. Academic writing poses manifold challenges to students, instructors and institutions alike. High labor costs, increasing student numbers, and the Bologna Process (which has reduced the period after which undergraduates in Europe submit their first thesis and thus the time available to focus on writing skills) all pose a threat to students’ academic writing abilities. This situation gave rise to the practical goal of this study: to determine if, and to what extent, acad...
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#1Laura K. AllenH-Index: 10
#2Cecile A. PerretH-Index: 4
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