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Laura K. Allen
Mississippi State University
PsychologyNatural language processingReading comprehensionComputer scienceComprehension
99Publications
11H-index
476Citations
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Publications 84
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#1Laura K. AllenH-Index: 11
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#2Rod D. RoscoeH-Index: 2
Last. Kathryn S. McCarthyH-Index: 4
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#1Scott A. Crossley (GSU: Georgia State University)H-Index: 31
#2Minkyung Kim (GSU: Georgia State University)H-Index: 3
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 54
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Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students’ summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However, these models often rely on features derived from expert ratings of student summarizations of specific source texts and are therefore not generalizable ...
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#1Rod D. Roscoe (ASU: Arizona State University)H-Index: 20
#2Laura K. Allen (MSU: Mississippi State University)H-Index: 11
Last. Danielle S. McNamaraH-Index: 54
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A critical challenge for computer-based writing instruction is providing appropriate and adaptive practice. The current study examined three modes of computer-based writing practice with the goal of identifying those with the greatest learning and motivational value. High school students learned about writing strategies by studying lessons within the Writing Pal tutoring system and then practiced relevant strategies via essay-based practice, strategy practice, or game-based strategy practice. St...
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#1Laura K. Allen (MSU: Mississippi State University)H-Index: 1
#2Aaron D. Likens (NU: University of Nebraska–Lincoln)H-Index: 8
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 54
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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...
1 CitationsSource
Last. Laura K. AllenH-Index: 11
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Mar 4, 2019 in LAK (Learning Analytics and Knowledge)
#1Laura K. Allen (MSU: Mississippi State University)H-Index: 1
#2Caitlin Mills (UNH: University of New Hampshire)H-Index: 15
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 54
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This study examines the extent to which instructions to self-explain vs. other-explain a text lead readers to produce different forms of explanations. Natural language processing was used to examine the content and characteristics of the explanations produced as a function of instruction condition. Undergraduate students (n = 146) typed either self-explanations or other-explanations while reading a science text. The linguistic properties of these explanations were calculated using three automate...
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#2Kristopher KoppH-Index: 7
Last. Danielle S. McNamaraH-Index: 54
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#1Rod D. Roscoe (ASU: Arizona State University)H-Index: 20
#2Laura K. Allen (MSU: Mississippi State University)H-Index: 1
Last. Danielle S. McNamara (ASU: Arizona State University)H-Index: 54
view all 4 authors...
This study evaluates high school students’ perceptions of automated writing feedback, and the influence of these perceptions on revising, as a function of varying modes of computer-based writing in...
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#2Laura K. AllenH-Index: 11
Last. Renu BalyanH-Index: 3
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1 CitationsSource
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