The Black-Boxed Ideology of AWE
Antonio Hamilton and Finola McMahon
References
Berlin, J. A. (1980). Richard Whately and current-traditional rhetoric. College English, 42(1), 10–17. doi:10.2307/376028
Brock, K. (2019). Rhetorical code studies: Discovering arguments in and around code. University of Michigan Press.
Brock, K. & Shepherd, D. (2016). Understanding how algorithms work persuasively through the procedural enthymeme. Computers and Composition, 42, 17–27. doi:10.1016/j.compcom.2016.08.007
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 1–12. doi:10.1177/2053951715622512
Charlton, C. (2014). The weight of curious space: Rhetorical events, hackerspace, and emergent multimodal assessment. Computers and Composition, 31, 29–42. doi:10.1016/j.compcom.2013.12.002
Christian, B. (2020). The algorithm problem: Machine learning and human values. W. W. Norton & Company.
Conference on College Composition and Communication. (1974). Students' right to their own language. College Composition and Communication, 25(3), 1–32.
Connors, R. J. (1997). Composition-rhetoric: Backgrounds, theory, and pedagogy. University of Pittsburgh Press. doi:10.2307/j.ctt5hjt92
Ericsson, P. A., & Haswell, R. H. (Eds.). (2006). Machine scoring of student essays: Truth and consequences. Utah State University Press.
Ernst, D. (2020). The android English teacher: Writing education in the age of automation (Publication No. 30503616). [Doctoral dissertation, Purdue University] ProQuest Dissertations & Theses Global. https://www.proquest.com/dissertations-theses/android-english-teacher-writing-education-age/docview/2827706680/se-2
Francher, P. (2021). A feeling for the algorithm: A feminist methodology for algorithmic writing and research. Journal of Multimodal Rhetorics, 5(2), 27–44.
Gallagher, J. R. (2020). The Ethics of Writing for Algorithmic Audiences. Computers and Composition 57.
Gallagher, J. R. (2023). Lessons learned From machine learning researchers about the terms “Artificial Intelligence” and “Machine Learning.” Composition Studies 51(1), 149–154.
Haswell, R. H. (2006). Automatons and automated scoring: Drudges, black boxes, and dei ex machina. In P. F. Ericsson & R. Haswell (Eds.), Machine scoring of student essays: truth and consequences (pp. 57–78). Utah State University Press.
Herrington, A., & Moran, C. (2001). What happens when machines read our students’ writing? College English, 63(4), 480–499. http://www.jstor.com/stable/378891
Hirst, R. (2003). Scientific jargon, good and bad. Journal of Technical Writing and Communication, 33(3), 201–229.
Hockly, N. (2019). Automated writing evaluation. ELT Journal 73(1), 82–88.
Huang, Y. & Wilson, J. (2021). Using automated feedback to develop writing proficiency. Computers and Composition 62.
Johnson, J. D. (2020). Theorizing network bias and teaching mêtic invention in online search. Computers and Composition 56.
Laflen, A. (2023). Exploring how response technologies shape instructor feedback: A comparison of Canvas Speedgrader, Google Docs, and Turnitin GradeMark. Computers and Composition 68(3).
Laio, H. C. (2016). Using automated writing evaluation to reduce grammar errors in writing. ELT Journal 40(3), 308–319. doi:10.1093/elt/ccv058
Latour, B. (1987). Science in action. Harvard University Press.
Latour, B. (1999). Pandora’s hope: Essays on the reality of science studies. Harvard University Press.
Lee, Y. J. (2020). The long-term effect of automated writing evaluation feedback on writing development. English Teaching 75(1), 67–92. doi:10.15858/engtea.75.1.202003.67
O’Neill, R. & Russell, A. M. T. (2019). Stop! Grammar time: University students’ perceptions of the automated feedback program Grammarly. Australasian Journal of Educational Technology 35(1), 42–56.
ProWritingAid. About us. Retrieved January 3, 2023, from https://prowritingaid.com/en/Home/AboutUs
ProWritingAid. Pacing. Retrieved January 1, 2023, from https://prowritingaid.com//grammar/1008122/Pacing
Wilson, J., Ahrendt, C., Fudge, E. A., Raiche, A., Beard, G., & MacArthur, C. (2021). Elementary teachers’ perceptions of automated feedback and automated scoring: Transforming the teaching and learning of writing using automated writing evaluation. Computers & Education, 168, 1–11. doi:10.1016/j.compedu.2021.104208
Wilson, J., & Roscoe, R. D. (2020). Automated writing evaluation and feedback: Multiple metrics of efficacy. Journal of Educational Computing Research, 58(1), 87–125. doi:10.1177/0735633119830764