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1
Are You Being Rhetorical? An Open Corpus of Machine Annotated Rhetorical Moves
In: English Publications (2020)
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2
Automated Writing Evaluation
In: English Publications (2018)
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3
A move/step model for methods sections: Demonstrating Rigour and Credibility
In: English Publications (2017)
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4
Discourse classification into rhetorical functions for AWE feedback
In: English Publications (2016)
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5
Studying disciplinary corpora to teach the craft of discussion
In: English Publications (2016)
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6
Furthering and applying move/step constructs: Technology-driven marshalling of Swalesian genre theory for EAP pedagogy
In: English Publications (2015)
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7
Automated Writing Analysis for writing pedagogy: From healthy tension to tangible prospects
In: English Publications (2015)
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8
Validity Arguments for Diagnostic Assessment Using Automated Writing Evaluation
In: English Publications (2015)
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9
Enhancing Writing Padagogy with Learner Corpus Data
In: English Publications (2014)
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10
Learner Fit in Scaling Up Automated Writing Evaluation
In: English Publications (2013)
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11
Towards Effective Integration and Positive Impact of Automated Writing Evaluation in L2 Writing
In: English Publications (2012)
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12
Potential of Automated Writing Evaluation Feedback
In: English Publications (2011)
Abstract: This paper presents an empirical evaluation of automated writing evaluation (AWE) feedback used for L2 academic writing teaching and learning. It introduces the Intelligent Academic Discourse Evaluator (IADE), a new web-based AWE program that analyzes the introduction section to research articles and generates immediate, individualized, and discipline-specific feedback. The purpose of the study was to investigate the potential of IADE’s feedback. A mixed-methods approach with a concurrent transformative strategy was employed. Quantitative data consisted of responses to Likert-scale, yes/no, and open-ended survey questions; automated and human scores for first and final drafts; and pre-/posttest scores. Qualitative data contained students’ first and final drafts as well as transcripts of think-aloud protocols and Camtasia computer screen recordings, observations, and semistructured interviews. The findings indicate that IADE’s colorcoded and numerical feedback possesses potential for facilitating language learning, a claim supported by evidence of focus on discourse form, noticing of negative evidence, improved rhetorical quality of writing, and increased learning gains.
Keyword: and Multicultural Education; and Research; Bilingual; Educational Assessment; Educational Methods; Evaluation; Multilingual
URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1058&context=engl_pubs
https://lib.dr.iastate.edu/engl_pubs/58
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13
Review of Wimba Voice 6.0 Collaborative Suite
In: English Publications (2011)
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