Inclusive Language in Student Writing: Awareness and Innovation
DOI:
https://doi.org/10.14738/assrj.97.12606Keywords:
Inclusive language; academic writing; Automated Writing Evaluation, Auto-PeerAbstract
The goal of inclusive language is to replace terms and phrases that may cause offense or denigrate a particular group of people. One of the major issues stymieing a broader application of inclusive language is simply awareness, especially for those who speak English as an additional language. Given that few places focus on wording issues more than the writing classroom, it is surely there that instruction and its associated Automated Writing Evaluation tools need to make appropriate contributions. Accordingly, this paper assesses faculty, student, and technology for their respective current levels of awareness. The results of our study suggest that both faculty and students appear to be inconsistent and lacking in awareness on many issues of inclusive language. Meanwhile, our analysis suggests technology appears to have many opportunities to both improve and increase its role in assisting with a greater understanding and application of inclusive language.
References
Seattle University, “Writing center,” Seattle University. [Online]. Available: https://www.seattleu.edu/writingcenter/resources/inclusive-writing/. [Accessed: 16-Jun-2022].
G. Gay, “Preparing for culturally responsive teaching,” Journal of Teacher Education, vol. 53, pp. 106-116, 2002.
K. E. Larson, E. T. Pas, C. P. Bradshaw, M. S. Rosenberg, “Examining how proactive management and culturally responsive teaching relate to student behavior: Implications for measurement and practice,” School Psychology Review, vol. 47, no. 2, pp. 153-160, 2018. [Online]. Available: ERIC Institute of Education Sciences, https://eric.ed.gov/?id=EJ1104910
S. V. Piazza, S. Rao, M. S. Protacio, “Converging recommendations for culturally responsive literacy practices: Students with learning disabilities, English language learners, and socioculturally diverse learners,” International Journal of Multicultural Education, vol. 17, no. 3, pp. 1-20, 2015. [Online]. Available: ERIC Institute of Education Sciences, https://eric.ed.gov/?id=EJ1182041
A. C. Armstrong, D. Armstrong, and I. Spandagou, Inclusive Education: International policy & practice. Los Angeles, Calif: SAGE, 2010.
C. C. Levchak, “An examination of racist and sexist microaggressions on college campuses,” Doctoral dissertation, Sociology, University of Iowa, 2013. [Online]. Available: https://doi.org/10.17077/etd.731zk9t3
R. Barlow. “When words are unwittingly racist or sexist.” BU Today. https://www.bu.edu/articles/2014/when-words-are-unwittingly-racist-or-sexist/ (accessed Jun. 16, 2022).
“hardball with Chris Matthews' for Feb. 1,” NBCNews.com. [Online]. Available: https://www.nbcnews.com/id/wbna16943597. [Accessed: 16-Jun-2022].
A. Mooney and B. E. Evans, Language, Society and Power: An Introduction. Routledge. Taylor and Francis Group, 2019.
A. Kapitan, “On ‘person-first language’: It's time to actually put the person first,” Radical Copyeditor, 21-Jan-2021. [Online]. Available: https://radicalcopyeditor.com/2017/07/03/person-centered-language/. [Accessed: 16-Jun-2022].
M. L. Andersen, “Race, Gender, and Class Stereotypes: New Perspectives on Ideology and Inequality,” Revista Académica del CISAN-UNAM, vol. 1, no. 1, pp. 69–91, Jun. 2006.
C. Bell, P. M. McCarthy, and D. S. McNamara, “Gender and language,” in Applied natural language processing: Identification, investigation, and resolution, P. M. McCarthy, and C. Boonthum-Denecke, Ed. Hershey, PA, USA: IGI Global, 2012, pp. 545-556.
T. Sun, A. Gaut, S. Tang, Y. Huang, M. ElSherief, J. Zhao, D. Mirza, E. M. Belding, K. W. Chang, and W. Y. Wang, “Mitigating gender bias in Natural Language Processing: Literature Review,” Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, vol. 1, pp. 1630–1640, June. 2019.
X. Wen, P. M. McCarthy, and A. C. Strain, “A Gramulator Analysis of Gendered Language in Cable News Reportage,” in Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, G. M. Youngblood, and C. Boonthum, Ed. Menlo Park, CA, USA: The AAAI Press, 2013, pp. 243-248.
P. Zhou, W. Shi, J. Zhao, K. H. Huang, M. Chen, R. Cotterell, and K. W. Chang, “Examining gender bias in languages with grammatical gender,” Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5275–5283, Sep. 2019.
J. Rothchild, “Gender Bias,” in The Blackwell Encyclopedia of Sociology. Hoboken, NJ, USA: John Wiley & Sons Publication, 2014, pp. 1843-1845. [Online]. Available: https://doi.org/10.1002/9781405165518.wbeosg011.pub2. Accessed: June 16, 2022.
G. Masequesmay. “Sexism.” Encyclopedia Britannica. https://www.britannica.com/topic/sexism (accessed May 28, 2020).
M. D. Cottingham, “The missing and needed male nurse: Discursive hybridization in professional nursing texts,” Gender, Work and Organization, vol. 26, no. 2, pp. 197–213, Mar. 2019.
D. Steinmetz, “Gender shifts in Germanic and Slavic: Semantic motivation for neuter?,” Lingua, vol. 116, no. 9, pp. 1418–1440, 2006.
“Gender-inclusive language,” University of North Carolina at Chapel Hill Writing Center, 26- Apr-2022. [Online]. Available: https://writingcenter.unc.edu/tips-and-tools/gender-inclusive-language/. [Accessed: 16-Jun-2022].
“Gender-neutral language in the European parliament.” [Online]. Available: https://www.europarl.europa.eu/cmsdata/151780/GNL_Guidelines_EN.pdf. [Accessed: 16-Jun-2022].
“Race reporting guide,” Race Forward: The Center for Racial Justice Innovation, 2015. [Online]. Available: https://www.raceforward.org/sites/default/files/Race%20Reporting%20Guide%20by%20Race%20Forward_V1.1.pdf. [Accessed: 16-Jun-2022].
L. L. Espinosa, J. M. Turk, M. Taylor, and H. M. Chessman, “Race and ethnicity in higher education: A status report,” VTechWorks Home, 27-Mar-2019. [Online]. Available: https://vtechworks.lib.vt.edu/handle/10919/89187. [Accessed: 16-Jun-2022].
“Racial and ethnic identity,” American Psychological Association. [Online]. Available: https://apastyle.apa.org/style-grammar-guidelines/bias-free-language/racial-ethnic-minorities. [Accessed: 16-Jun-2022].
S. Christiansen, “Inclusive language: Race and ethnicity,” Science Editor: A Publication of the Council of Science Editors, vol. 43, pp. 95–96, 2020.
“Inclusive language,” The Australian Network on Disability, 2017. [Online]. Available: https://www.and.org.au/pages/inclusive-language.html.
K. Lister, E. McPherson, T. Coughlan, A.-M. Gallen, and V. Pearson, “Towards inclusive language: Exploring student-led approaches to talking about disability-related study needs,” Proceedings of the 12th annual International Conference of Education, Research and Innovation. (ICERI 2019), IATED pp. 1444–1453, 2019.
“Michigan Developmental Disabilities Council,” People first language, 2016. [Online]. Available: https://www.michigan.gov/documents/mdch/5_People_1st_Language_313302_7.pdf
Garner, B.A, “Grammar and usage,” The Chicago Manual of Style, 17th ed. Chicago, IL: The University of Chicago Press, 2017.
R. Cohen-Rottenberg, “The problem with person-first language,” The Body Is Not An Apology, 13-Jan-2015. [Online]. Available: https://thebodyisnotanapology.com/magazine/the-problem-with-person-first-language/. [Accessed: 16-Jun-2022].
“Guidelines for writing about people with disabilities,” ADA national network: Information, guidance, and training on the Americans with Disabilities Act, n.d. [Online]. Available: https://adata.org/factsheet/ADANN-writing. URL: http://dx.doi.org/10.14738/assrj.97.12606 71
“Disability language guidelines,” United Nations. [Online]. Available: https://archive.unescwa.org/sites/www.unescwa.org/files/page_attachments/guidelines-_disability_language_english_version_0.pdf.
U. Connor, “Research frontiers in writing analysis,” TESOL Quarterly, vol. 21, no. 4, pp. 677–696, 1987.
M. Crowhurst, “Reading/writing relationships: An intervention study,” Canadian Journal of Education, vol. 15, no. 2, pp. 155–172, 1990.
D. S. McNamara, R. Raine, R. Roscoe, S. A. Crossley, G. T. Jackson, J. Dai, Z. Cai, A. Renner, R. Brandon, J. L. Weston, K. Dempsey, D. Carney, S. Sullivan, L. Kim, V. Rus, R. Floyd, P. M. McCarthy, and A. C. Graesser, “The writing-pal,” Applied Natural Language Processing, pp. 298–311, 2012.
L. Porter, “A decade of change in the business school: From complacency to tomorrow,” Selections, vol. 13, no. 12, pp. 1–8, 1997.
S. Graham, K. Sadmel, “The process writing approach: A meta-analysis,” The Journal of Educational Research,
E. R. Steinberg, L. W. Gregg, H. Hayes , and L. Flower, “Identifying the Organization of Writing Processes,” in Cognitive processes in writing, Hillsdale, NJ: Routledge, 1980, pp. 3–30.
M. A. C. A., S. Graham, J. Fitzgerald, and C. Bazerman, “What do sociocultural studies of writing tell us about learning to write?,” in Handbook of Writing Research, New York, NY: Guilford Press, 2016, pp. 11–23.
E. Kintsch, D. Caccamise, M. Franzke, N. Johnson, S. Dooley, T. K. Landauer, D. S. McNamara, S. Dennis, and W. Kintsch, “Summary street®: Computer-guided summary writing,” in Handbook of Latent Semantic Analysis, East Sussex, UK: Psychology Press, 2007, pp. 263–278.
P. M. McCarthy, A. Al-harthy, R. H. Buck, K. Ahmed, A. M. Thomas, N. W. Kaddoura, N. D. Duran, and A. C. Graesser, “Introducing Auto-Peer: A Computational Tool Designed to Provide Automated Feedback for L2 Writers,” Asian ESP Journal, vol. 17, pp. 9–43, 2021.
S. Hatzipanagos and J. Gregson, “The role of open access and open educational resources: A distance learning perspective,” Electronic Journal of e-Learning, vol. 13, no. 2, pp. 97–105, 2015.
J. M. Spector, M. D. Merrill, J. Elen, and M. J. Bishop, “Technology integration in schools,” in Handbook of Research on Educational Communications and Technology, Heidelberg, Germany: Springer, 2014, pp. 841–853.
J. Stommel, “Decoding Digital Pedagogy, pt. 2: (un)mapping the terrain,” Hybrid Pedagogy, 05-Mar-2013. [Online]. Available: https://hybridpedagogy.org/decoding-digital-pedagogy-pt-2-unmapping-the-terrain/. [Accessed: 16-Jun-2022].
K. Alhumaid, “Four ways technology has negatively changed education,” Journal of Educational and Social Research, vol. 9, no. 4, pp. 10–20, 2019. doi: 10-20. 10.2478/jesr-2019-0049.
K. L. Allen, M. E. Jacovina, and D. S. McNamara, “Computer-based writing instruction,” in Handbook of writing research, C. A. MacArthur, S. Graham, J. Fitzgerald, Eds., 2nd ed. New York, NY, USA: Guilford, 2016, ch.21, pp. 316-329.
D. Grimes and M. Warschauer, "Utility in a fallible tool: A multi-site case study of automated writing evaluation", Journal of Technology, Learning, and Assessment, vol. 8, no. 6, 2010. Available: http://www.jta.org.
B. Jackal, J. Pearce, A. Radloff, and D. Edwards, “Assessment and feedback in higher education: A review of literature for higher education academy,” 2017. Available: https://research.acer.edu.au/higher_education/53
M. M. Nelson and C. D. Schunn, “The nature of feedback: How different types of peer feedback affect writing performance,” Instructional Science, vol. 37, no. 4, pp. 375–401, 2008. doi: 10.1007/s11251-008-9053-x
J. Burnstein, J. Tetreault, and N. Madani, “The E-rater® automated essay scoring system,” in Handbook of automated essay evaluation, M. D. Shermis and J. Burnstein, Eds., 1st ed. New York, NY, USA: Taylor & Francis Group, 2013. doi: 10.4324/9780203122761.
P. W. Foltz, L. A. Streetler, K. E. Lochbaum, and K. T. Landauer, “Implementation and applications of the intelligent essay assessor” in Handbook of Automated Essay Evaluation, 1st ed. London, UK: Routledge, 2013. 72
J. Park and P. Fung, "One-step and two-step classification for abusive language detection on twitter, " in Proceedings of the First Workshop on Abusive Language Online, Z. Waseem, W. H. K. Chung, D. Hovy, and J. Tetrelault, Eds., Association for Computational Linguistics, 2017. Available: https://aclanthology.org/volumes/W17-30/.
S. Florentine and S. Writer, “Diversity and Inclusion Technology Tools on the rise,” CIO, 22-Mar-2019. [Online]. Available: https://www.cio.com/article/219871/diversity-and-inclusion-technology-tools-on-therise.html. [Accessed: 16-Jun-2022].
R. Kaser, “Microsoft Office can help you write with inclusive language - here's how,” TNW | Basics, 15-Jun-2020. [Online]. Available: https://thenextweb.com/news/microsoft-office-can-help-you-write-with-inclusivelanguage-heres-how. [Accessed: 16-Jun-2022].
Anita Sarma “Squashing inclusivity bugs in open source software,” Opensource.com, 3-Aug – 2018. [Online]. Available: https://opensource.com/article/18/8/inclusivity-bugs-open-source-software. [Accessed: 16-Jun-2022].
L. Douglas, “Ai is not just learning our biases; it is amplifying them.,” Medium, 10-Dec-2017. [Online]. Available: https://medium.com/@laurahelendouglas/ai-is-not-just-learning-our-biases-it-is-amplifying-them-4d0dee75931d. [Accessed: 16-Jun-2022].
D. Hovy, S. Spruit, M. Mitchell, E. M. Bender, M. Strube, and H. Wallach, Eds., “Proceedings of the First ACL Workshop on Ethics in Natural Language Processing,” Proceedings of the first ACL workshop on ethics in natural language processing - ACL anthology, Apr-2017. [Online]. Available: https://aclanthology.org/volumes/W17-16/. [Accessed: 16-Jun-2022].
T. Bolukbasi, K.-W. Chang, J. Y. Zou, V. Saligrama, and A. T. Kalai, “Man is to computer programmer as woman is to homemaker? Debiasing word embeddings,” Advances in Neural Information Processing Systems, 01-Jan-1970. [Online]. Available: https://proceedings.neurips.cc/paper/2016/hash/a486cd07e4ac3d270571622f4f316ec5-Abstract.html. [Accessed: 16-Jun-2022].
W. Nevin (1837). Select remains of the Rev. William Nevins with a memoir. 3th ed. New York, USA. J.S. Taylor. [Online]. Available: http://library.logcollegepress.com/Nevins%2C+William%2C+Select+Remains.pdf
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