Automated Writing Evaluation and Feedback: Multiple Metrics of Efficacy
Abstract
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used Project Essay Grade Writing ( n = 56) or a word-processing condition that used Google Docs ( n = 58). Effectiveness was evaluated using multiple metrics: writing self-efficacy, holistic writing quality, performance on a state English language arts test, and teachers' perceptions of AWE's social validity. Path analyses showed that after controlling for pretest measures, composing condition had no effect on holistic writing quality, but students in the AWE condition had more positive writing self-efficacy and better performance on the state English language arts test. Posttest writing self-efficacy partially mediated the effect of composing condition on state test performance. Teachers reported positive perceptions of AWE's social validity. Results emphasize the importance of using multiple metrics and considering both contextual factors and AWE implementation methods when evaluating AWE effectiveness.
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Automated essay scoring tools like MI Write can help students improve their writing motivation, writing self-efficacy, and writing skills.
“Several studies have demonstrated that automated essay scoring tools like MI Write can help students to improve their writing motivation (Wilson & Czik, 2016), writing self-efficacy (Wilson & Roscoe, 2020) and writing skills (Palermo & Thomson, 2018)”
From Assessment in the age of artificial intelligence (2022) · cites this paper as Wilson & Roscoe, 2020
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,888 · see citing works
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266 · see citing works
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,512 · see citing works
Confirmatory factor analysis for applied research
Brown, T. A. (2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,613 · see citing works
Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge
Mishra, P., & Koehler, M. J. (2006) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2006.00684.x · Cited by 12,604 · see citing works
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika · doi:10.1007/bf02291170 · Cited by 7,330 · cited 1× · see citing works
“To assess the fit of the path models, we examined the chi-square test, the standardized root mean residual (SRMR), comparative fit index (CFI; Bentler, 1990), the Tucker–Lewis index (TLI; Tucker & Lewis, 1973), and the root mean square error of approximation (RMSEA; Steiger & Lind, 1980).”
MethodWolf, M. M. (1978) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.1978.11-203 · Cited by 3,176 · see citing works
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791 · see citing works
Statistically based tests for the number of common factors
Steiger, J. H. (1980) · Medical Entomology and Zoology · Cited by 2,413 · see citing works
MacArthur, C. A., Graham, S. W., & Fitzgerald, J. (2005) · Cited by 2,327 · see citing works
Addressing first- and second-order barriers to change: Strategies for technology integration
Ertmer, P. A. (1999) · Educational Technology Research and Development · doi:10.1007/bf02299597 · Cited by 2,189 · see citing works
Hew, K. F., & Brush, T. A. (2006) · Educational Technology Research and Development · doi:10.1007/s11423-006-9022-5 · Cited by 2,147 · see citing works
SELF-EFFICACY BELIEFS, MOTIVATION, AND ACHIEVEMENT IN WRITING: A REVIEW OF THE LITERATURE
Pajares, F. (2003) · Reading & Writing Quarterly · doi:10.1080/10573560308222 · Cited by 1,398 · see citing works
The Journal of Teacher Education
(1956) · Journal of Teacher Education · doi:10.1177/002248715600700102 · Cited by 1,201 · see citing works
Tondeur, J., van Braak, J., Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2016) · Educational Technology Research and Development · doi:10.1007/s11423-016-9481-2 · Cited by 1,146 · see citing works
Peugh, J., & Enders, C. K. (2004) · Review of Educational Research · doi:10.3102/00346543074004525 · Cited by 1,107 · see citing works
Modeling and remodeling writing
Hayes, J. R. (2012) · Written Communication · doi:10.1177/0741088312451260 · Cited by 893 · see citing works
Training writing skills: a cognitive developmental perspective
Kellogg, R. T. (2008) · Journal of Writing Research · doi:10.17239/jowr-2008.01.01.1 · Cited by 868 · see citing works
A meta-analysis of writing instruction for students in the elementary grades.
Graham, S., McKeown, D., Kiuhara, S. A., & Harris, K. R. (2012) · Journal of Educational Psychology · doi:10.1037/a0029185 · Cited by 828 · see citing works
Kopcha, T. J. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.05.014 · Cited by 569 · see citing works
(2007) · Cited by 563 · see citing works
Shermis, M. D., & Burstein, J. C. (2003) · Routledge eBooks · doi:10.4324/9781410606860 · Cited by 504 · see citing works
Handbook of Automated Essay Evaluation
(2013) · Routledge eBooks · doi:10.4324/9780203122761 · Cited by 491 · see citing works
Examining dimensions of self-efficacy for writing
Bruning, R., Dempsey, M., Kauffman, D. F., McKim, C., & Zumbrunn, S. (2013) · Journal of Educational Psychology · doi:10.1037/a0029692 · Cited by 470 · see citing works
(2003) · Cited by 449 · see citing works
Self-efficacy beliefs and the writing performance of entering high school students
Pajares, F., & Johnson, M. J. (1998) · Psychology in the Schools · doi:10.1002/(sici)1520-6807(199604)33:2 · Cited by 394 · see citing works
Teaching Writing to Elementary Students in Grades 4–6: A National Survey
Gilbert, J. K., & Graham, S. (2010) · The Elementary School Journal · doi:10.1086/651193 · Cited by 386 · see citing works
Sources of Writing Self-Efficacy Beliefs of Elementary, Middle, and High School Students
Pajares, F., Johnson, M. J., & Usher, E. L. (2007) · Research in the Teaching of English · doi:10.58680/rte20076485 · Cited by 373 · see citing works
Formative Assessment and Writing: A Meta-Analysis
Graham, S., Hebert, M., & Harris, K. R. (2015) · The Elementary School Journal · doi:10.1086/681947 · Cited by 340 · see citing works
Automated writing evaluation: Defining the classroom research agenda
Warschauer, M., & Ware, P. (2006) · Language Teaching Research · doi:10.1191/1362168806lr190oa · Cited by 337 · see citing works
Wilson, J., & Czik, A. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.05.004 · Cited by 297 · see citing works
Self-citationGraham, S., Berninger, V. W., & Fan, W. (2007) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2007.01.002 · Cited by 294 · see citing works
The effects of computer-generated feedback on the quality of writing
Stevenson, M., & Phakiti, A. (2014) · Assessing Writing · doi:10.1016/j.asw.2013.11.007 · Cited by 275 · see citing works
On the relation between automated essay scoring and modern views of the writing construct
Deane, P. (2012) · Assessing Writing · doi:10.1016/j.asw.2012.10.002 · Cited by 274 · see citing works
Improving the writing skills of college students
Kellogg, R. T., & Raulerson, B. A. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194058 · Cited by 270 · see citing works
Training Advanced Writing Skills: The Case for Deliberate Practice
Kellogg, R. T., & Whiteford, A. P. (2009) · Educational Psychologist · doi:10.1080/00461520903213600 · Cited by 262 · see citing works
Automated Writing Assessment in the Classroom
Warschauer, M., & Grimes, D. (2008) · Pedagogies: An International Journal · doi:10.1080/15544800701771580 · Cited by 243 · see citing works
Shermis, M. D. (2014) · Assessing Writing · doi:10.1016/j.asw.2013.04.001 · Cited by 227 · see citing works
Troia, G. A., Harbaugh, A. G., Shankland, R. K., Wolbers, K. A., & Lawrence, A. M. (2012) · Reading and Writing · doi:10.1007/s11145-012-9379-2 · Cited by 215 · see citing works
Teaching writing to middle school students: a national survey
Graham, S., Capizzi, A. M., Harris, K. R., Hebert, M. A., & Morphy, P. (2013) · Reading and Writing · doi:10.1007/s11145-013-9495-7 · Cited by 211 · see citing works
Word processing programs and weaker writers/readers: a meta-analysis of research findings
Morphy, P., & Graham, S. (2011) · Reading and Writing · doi:10.1007/s11145-010-9292-5 · Cited by 197 · see citing works
Dikli, S., & Bleyle, S. (2014) · Assessing Writing · doi:10.1016/j.asw.2014.03.006 · Cited by 193 · see citing works
Sanders‐Reio, J., Alexander, P. A., Reio, T. G., & Newman, I. (2014) · Learning and Instruction · doi:10.1016/j.learninstruc.2014.02.001 · Cited by 183 · see citing works
Validity arguments for diagnostic assessment using automated writing evaluation
Chapelle, C. A., Cotos, E., & Lee, J. (2015) · Language Testing · doi:10.1177/0265532214565386 · Cited by 158 · see citing works
Motivation Research in Writing: Theoretical and Empirical Considerations
Troia, G. A., Shankland, R. K., & Wolbers, K. A. (2012) · Reading & Writing Quarterly · doi:10.1080/10573569.2012.632729 · Cited by 157 · see citing works
Matsumura, L. C., Patthey‐Chavez, G. G., Valdés, R., & Garnier, H. (2002) · The Elementary School Journal · doi:10.1086/499713 · Cited by 147 · see citing works
Automated scoring and feedback systems: Where are we and where are we heading?
Xi, X. (2010) · Language Testing · doi:10.1177/0265532210364643 · Cited by 144 · see citing works
Writing pal: Feasibility of an intelligent writing strategy tutor in the high school classroom.
Roscoe, R. D., & McNamara, D. S. (2013) · Journal of Educational Psychology · doi:10.1037/a0032340 · Cited by 144 · see citing works
Self-citationWhen “the state of the art” is counting words
Perelman, L. (2014) · Assessing Writing · doi:10.1016/j.asw.2014.05.001 · Cited by 129 · see citing works
Condon, W. (2012) · Assessing Writing · doi:10.1016/j.asw.2012.11.001 · Cited by 113 · see citing works
Palermo, C., & Thomson, M. M. (2018) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2018.07.002 · Cited by 107 · see citing works
Roscoe, R. D., Wilson, J., Johnson, A. C., & Mayra, C. R. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.076 · Cited by 98 · see citing works
Self-citationDoes Automated Feedback Help Students Learn to Write?
Kellogg, R. T., Whiteford, A. P., & Quinlan, T. (2010) · Journal of Educational Computing Research · doi:10.2190/ec.42.2.c · Cited by 88 · see citing works
Stevenson, M. (2016) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2016.05.001 · Cited by 85 · see citing works
Progress feedback effects on students' writing mastery goal, self-efficacy beliefs, and performance
Duijnhouwer, H., Prins, F. J., & Stokking, K. M. (2010) · Educational Research and Evaluation · doi:10.1080/13803611003711393 · Cited by 77 · see citing works
Horowitz, M. (2013) · Research in Higher Education · doi:10.1007/11162.1573-188x · Cited by 76 · see citing works
Trait Ratings for Automated Essay Grading
Shermis, M. D., Koch, C. M., Page, E. B., Keith, T. Z., & Harrington, S. (2002) · Educational and Psychological Measurement · doi:10.1177/0013164402062001001 · Cited by 67 · see citing works
Automated Scoring Technologies and the Rising Influence of Error
Cheville, J. (2004) · The English Journal · doi:10.2307/4128980 · Cited by 66 · see citing works
IEEE Transactions on Learning Technologies
(2022) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3224333 · Cited by 57 · see citing works
Student Use of Automated Essay Evaluation Technology During Revision
Moore, N. S., & MacArthur, C. A. (2016) · Journal of Writing Research · doi:10.17239/jowr-2016.08.01.05 · Cited by 51 · see citing works
Awaiting a new wave: The status of state writing assessment in the United States
Behizadeh, N., & Pang, M. E. (2016) · Assessing Writing · doi:10.1016/j.asw.2016.05.003 · Cited by 50 · see citing works
CCCC Position Statement on Teaching, Learning, and Assessing Writing in Digital Environments
(2004) · College Composition and Communication · doi:10.58680/ccc20042788 · Cited by 46 · see citing works
Utility and usability as factors influencing teacher decisions about software integration
Okumuş, S., Lewis, L., Wiebe, E., & Hollebrands, K. F. (2016) · Educational Technology Research and Development · doi:10.1007/s11423-016-9455-4 · Cited by 38 · see citing works
Automated Writing Analysis for Writing Pedagogy
Cotos, E. (2015) · Writing & Pedagogy · doi:10.1558/wap.v7i2-3.26381 · Cited by 37 · see citing works
Does Automated Feedback Improve Writing Quality
Wilson, J., Olinghouse, N. G., & Andrada, G. N. (2014) · Learning disabilities · Cited by 35 · see citing works
Self-citationSocial validity: Perceptions of check and connect with early literacy support
Lyst, A. M., Gabriel, S., O'Shaughnessy, T. E., Meyers, J. P., & Meyers, B. (2005) · Journal of School Psychology · doi:10.1016/j.jsp.2005.04.004 · Cited by 34 · see citing works
Wilson, J. (2016) · Reading and Writing · doi:10.1007/s11145-016-9695-z · Cited by 34 · see citing works
Self-citationWilson, J. (2018) · Journal of School Psychology · doi:10.1016/j.jsp.2017.12.005 · Cited by 34 · see citing works
Self-citationPerin, D., Lauterbach, M. D., Raufman, J., & Kalamkarian, H. S. (2016) · Reading and Writing · doi:10.1007/s11145-016-9706-0 · Cited by 33 · see citing works
Using Automated Feedback to Improve Writing Quality
Wilson, J., & Andrada, G. N. (2015) · Advances in higher education and professional development book series · doi:10.4018/978-1-4666-9441-5.ch026 · Cited by 31 · see citing works
Self-citationBejar, I. I., Flor, M., Futagi, Y., & Ramineni, C. (2014) · Assessing Writing · doi:10.1016/j.asw.2014.06.001 · Cited by 28 · see citing works
The Impact of Automated Essay Scoring on Writing Outcomes
Shermis, M. D., GARVAN, C. W., & Diao, Y. (2008) · Cited by 23 · see citing works
Hutchison, A. C., & Woodward, L. (2014) · Computers in the Schools · doi:10.1080/07380569.2014.967629 · Cited by 21 · see citing works
Automated Scoring in Assessment Systems
Bunch, M. B., Vaughn, D., & Miel, S. (2015) · Advances in higher education and professional development book series · doi:10.4018/978-1-4666-9441-5.ch023 · Cited by 17 · see citing works
Trait Ratings for Automated Essay Grading
Shermis, M. D., Koch, C. M., Page, E. B., et al. (2002) · Educational and Psychological Measurement · doi:10.1177/001316440206200101 · Cited by 14 · see citing works
Revealing the iceberg: Creative writing, process & deliberate practice
Monk, J. (2015) · English in Education · doi:10.1111/eie.12091 · Cited by 12 · see citing works
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Sorted by citations
Comparing the quality of human and ChatGPT feedback of students’ writing
Steiss, J., Tate, T., Graham, S., Cruz, J., Hebert, M., Wang, J., Moon, Y., Tseng, W., Warschauer, M., & Olson, C. B. (2024) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.101894 · Cited by 509 · see citing works
Nazari, N., Shabbir, M. S., & Setiawan, R. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07014 · Cited by 405 · see citing works
Assessment in the age of artificial intelligence
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100075 · Cited by 409 · see citing works
Meyer, J., Jansen, T., Schiller, R., Liebenow, L. W., Steinbach, M., Horbach, A., & Fleckenstein, J. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100199 · Cited by 311 · see citing works
A systematic review of AI-based automated written feedback research
Shi, H., & Aryadoust, V. (2024) · ReCALL · doi:10.1017/s0958344023000265 · Cited by 222 · see citing works
A review of AWE feedback: types, learning outcomes, and implications
Fu, Q.-K., Zou, D., Xie, H., & Cheng, G. (2022) · Computer Assisted Language Learning · doi:10.1080/09588221.2022.2033787 · Cited by 173 · see citing works
Weng, X., & Chiu, T. K. F. (2023) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100117 · Cited by 181 · see citing works
Should You Fine-Tune BERT for Automated Essay Scoring?
Mayfield, E., & Black, A. W. (2020) · Workshop on Innovative Use of NLP for Building Educational Applications · doi:10.18653/v1/2020.bea-1.15 · Cited by 150 · see citing works
Automated feedback and writing: a multi-level meta-analysis of effects on students' performance
Fleckenstein, J., Liebenow, L. W., & Meyer, J. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1162454 · Cited by 145 · see citing works
Nunes, A., Cordeiro, C., Limpo, T., & Castro, S. L. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12635 · Cited by 167 · see citing works
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
Bulut, O., Beiting-Parrish, M., Casabianca, J., Slater, S. C., Jiao, H., Song, D., Ormerod, C., Fabiyi, D. G., Ivan, R., Walsh, C., et al. (2024) · Chinese/English Journal of Educational Measurement and Evaluation · doi:10.59863/miql7785 · Cited by 83 · see citing works
The Effectiveness of Automated Writing Evaluation on Writing Quality: A Meta-Analysis
Zhai, N., & Ma, X. (2022) · Journal of Educational Computing Research · doi:10.1177/07356331221127300 · Cited by 169 · see citing works
Wilson, J., Ahrendt, C., Fudge, E. A., Raiche, A., Beard, G., & MacArthur, C. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104208 · Cited by 118 · see citing works
Self-citationExploring ChatGPT-supported teacher feedback in the EFL context
Han, J., & Li, M. (2024) · System · doi:10.1016/j.system.2024.103502 · Cited by 116 · see citing works
An error-analysis study from an EFL writing context: Human and Automated Essay Scoring Approaches
Almusharraf, N., & Alotaibi, H. M. (2022) · Technology Knowledge and Learning · doi:10.1007/s10758-022-09592-z · Cited by 86 · see citing works
Implementing Automated Writing Evaluation in Different Instructional Contexts: A Mixed-Methods Study
Palermo, C., & Wilson, J. (2020) · Journal of Writing Research · doi:10.17239/jowr-2020.12.01.04 · Cited by 87 · see citing works
Self-citationTypes of teacher-AI collaboration in K-12 classroom instruction: Chinese teachers’ perspective
Kim, J. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12523-3 · Cited by 90 · see citing works
Using automated corrective feedback tools in language learning: a review study
Shadiev, R., & Feng, Y. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2022.2153145 · Cited by 71 · see citing works
Exploring ChatGPT as a writing assessment tool
Bucol, J. L., & Sangkawong, N. (2024) · Innovations in Education and Teaching International · doi:10.1080/14703297.2024.2363901 · Cited by 79 · see citing works
Chen, A., Zhang, Y., Jia, J., Liang, M., Cha, Y., & Lim, C. P. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13064 · Cited by 67 · see citing works
Wilson, J., Huang, Y., Palermo, C., Beard, G., & MacArthur, C. A. (2021) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-020-00236-w · Cited by 71 · see citing works
Self-citationAn investigation on the use of automated feedback in Turkish EFL students’ writing classes
Han, T., & Sarı, E. (2022) · Computer Assisted Language Learning · doi:10.1080/09588221.2022.2067179 · Cited by 64 · see citing works
Equity Beyond Bias in Language Technologies for Education
Mayfield, E., Madaio, M., Prabhumoye, S., Gerritsen, D., McLaughlin, B., Dixon-Román, E., & Black, A. W. (2019) · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications · doi:10.18653/v1/w19-4446 · Cited by 62 · see citing works
McCarthy, K. S., Roscoe, R. D., Allen, L. K., Likens, A. D., & McNamara, D. S. (2022) · Assessing Writing · doi:10.1016/j.asw.2022.100608 · Cited by 61 · see citing works
Self-citationAutomated Evaluation of Writing – 50 Years and Counting
Klebanov, B. B., & Madnani, N. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.697 · Cited by 60 · see citing works
Waer, H. (2021) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2021.1914062 · Cited by 60 · see citing works
Woodworth, J., & Barkaoui, K. (2020) · TESL Canada Journal · doi:10.18806/tesl.v37i2.1340 · Cited by 60 · see citing works
Sarı, E., & Han, T. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13004 · Cited by 57 · see citing works
Li, R. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13294 · Cited by 60 · see citing works
Xu, J., & Zhang, S. (2021) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-021-00577-7 · Cited by 58 · see citing works
Barrot, J. S. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12083-y · Cited by 47 · see citing works
Wang, Y., Luo, X., Liu, C., Tu, Y., & Wang, N. (2022) · Sustainability · doi:10.3390/su141811586 · Cited by 61 · see citing works
The future of standardised assessment: Validity and trust in algorithms for assessment and scoring
Aloisi, C. (2023) · European Journal of Education · doi:10.1111/ejed.12542 · Cited by 44 · see citing works
Using automated feedback to develop writing proficiency
Huang, Y., & Wilson, J. (2021) · Computers & composition/Computers and composition · doi:10.1016/j.compcom.2021.102675 · Cited by 43 · see citing works
Self-citationSun, B., & Fan, T. (2021) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2021.101123 · Cited by 43 · see citing works
AI-assisted automated scoring of picture-cued writing tasks for language assessment
Zhao, R., Zhuang, Y., Zou, D., Xie, Q., & Yu, P. L. H. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11473-y · Cited by 40 · see citing works
Effective writing instruction for students in grades 6 to 12: a best evidence meta-analysis
Graham, S., Cao, Y.-C., Kim, Y., Lee, J., Tate, T., Collins, P., Cho, M., Moon, Y., Chung, H. Q., & Olson, C. B. (2024) · Reading & Writing · doi:10.1007/s11145-024-10539-2 · Cited by 46 · see citing works
Language learning development in human-AI interaction: A thematic review of the research landscape
Wang, F., Cheung, A., & Chai, C. S. (2024) · System · doi:10.1016/j.system.2024.103424 · Cited by 42 · see citing works
Al-Abri, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13484-x · Cited by 44 · see citing works
Chen, H., & Pan, J. (2022) · Asian-Pacific Journal of Second and Foreign Language Education · doi:10.1186/s40862-022-00171-4 · Cited by 33 · see citing works
Xue, Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12596-0 · Cited by 33 · see citing works
Correnti, R. J., Matsumura, L. C., Wang, E. L., Litman, D. J., & Zhang, H. (2022) · Computers and Education Open · doi:10.1016/j.caeo.2022.100084 · Cited by 28 · see citing works
Wei, W., Cheong, C. M., Zhu, X., & Lu, Q. (2022) · Teaching in Higher Education · doi:10.1080/13562517.2022.2042242 · Cited by 33 · see citing works
Geng, J., & Razali, A. B. (2022) · English Language Teaching · doi:10.5539/elt.v15n7p49 · Cited by 26 · see citing works
The Platformization of Writing Instruction: Considering Educational Equity in New Learning Ecologies
Stornaiuolo, A., Higgs, J., Nichols, T. P., LeBlanc, R. J., & de Roock, R. S. (2023) · Review of Research in Education · doi:10.3102/0091732x241227431 · Cited by 31 · see citing works
Classification accuracy and efficiency of writing screening using automated essay scoring
Wilson, J., & Rodrigues, J. (2020) · Journal of School Psychology · doi:10.1016/j.jsp.2020.08.008 · Cited by 25 · see citing works
Self-citationArtificial Intelligence, Teacher Tasks and Individualized PedagogyPreprint
Ferman, B., Lima, L., & Riva, F. (2021) · doi:10.31235/osf.io/qw249 · Cited by 23 · see citing works
Analytical Techniques for Developing Argumentative Writing in STEM: A Pilot Study
Davies, P., Passonneau, R. J., Muresan, S., & Gao, Y. (2021) · IEEE Transactions on Education · doi:10.1109/te.2021.3116202 · Cited by 21 · see citing works
Automated Writing Evaluation for ESL Learners : A Case Study of Pigai System
Yao, D. (2021) · The Journal of AsiaTEFL · doi:10.18823/asiatefl.2021.18.3.14.949 · Cited by 20 · see citing works
Deane, P., Wilson, J., Zhang, M., Li, C., van Rijn, P. W., Guo, H., Roth, A., Winchester, E., & Richter, T. (2020) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-020-00227-x · Cited by 18 · see citing works
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Aldosemani, T. I., Assalahi, H. M., Lhothali, A., & Albsisi, M. (2023) · International Journal of Computer-Assisted Language Learning and Teaching · doi:10.4018/ijcallt.329962 · Cited by 27 · see citing works
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Potter, A., & Wilson, J. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-10004-9 · Cited by 15 · see citing works
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Zhao, R., Zhuang, Y., Xie, Z., & Yu, P. L. H. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105106 · Cited by 22 · see citing works
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Bal, M., & Öztürk, E. (2025) · British Educational Research Journal · doi:10.1002/berj.4120 · Cited by 14 · see citing works
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Alshehri, A. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101892 · Cited by 11 · see citing works
Lillo-Fuentes, F., René Venegas, V., & Lobos, I. (2023) · Perspectiva educacional · doi:10.4151/07189729-vol.62-iss.2-art.1420 · Cited by 11 · see citing works
Yeung, S. (2025) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3706468.3706566 · Cited by 14 · see citing works
Horbach, A., Laarmann-Quante, R., Liebenow, L. W., Jansen, T., Keller, S., Meyer, J., Zesch, T., & Fleckenstein, J. (2022) · Linköping electronic conference proceedings · doi:10.3384/ecp190008 · Cited by 11 · see citing works
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McNamara, D. S., & Kendeou, P. (2022) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594x.2022.2037509 · Cited by 12 · see citing works
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McNamara, D. S., Roscoe, R. D., Allen, L. K., Balyan, R., & McCarthy, K. S. (2019) · Journal of language and Education · doi:10.17323/jle.2019.10196 · Cited by 10 · see citing works
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Luthfiyyah, R., Hafifah, G. N., Ivone, F. M., & Tresnadewi, S. (2021) · JEES (Journal of English Educators Society) · doi:10.21070/jees.v6i1.1020 · Cited by 18 · see citing works
Liao, M., Zhu, K., & Wang, G. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1288503 · Cited by 12 · see citing works
Myers, M. C., & Wilson, J. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00301-6 · Cited by 9 · see citing works
Self-citationMiranty, D., Widiati, U., Cahyono, B. Y., & Sharif, T. I. S. T. (2023) · International Journal of Evaluation and Research in Education (IJERE) · doi:10.11591/ijere.v12i3.24958 · Cited by 19 · see citing works
Wilson, J., & Wen, H. (2022) · The Elementary School Journal · doi:10.1086/720562 · Cited by 9 · see citing works
Self-citationDarwish, S. M., Ali, R. A., & El-Zoghabi, A. A. (2023) · Applied Sciences · doi:10.3390/app13158601 · Cited by 8 · see citing works
Incorporating ChatGPT as an automated written corrective feedback tool into L2 writing class
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Self-citationKim, S., & McCrudden, M. T. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101031 · Cited by 9 · see citing works
Yang, G., Zhou, W., Zhou, H., Li, J., Chen, X., & Tu, Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11905-3 · Cited by 8 · see citing works
Yue, H., Wilson, J., & May, H. (2024) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-024-00443-9 · Cited by 10 · see citing works
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Wang, X. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13378-y · Cited by 7 · see citing works
Klebanov, B. B., & Madnani, N. (2021) · Synthesis lectures on human language technologies · doi:10.2200/s01121ed1v01y202108hlt052 · Cited by 7 · see citing works
Yildiz, H., & Gönen, S. İ. K. (2024) · Turkish Online Journal of Distance Education · doi:10.17718/tojde.1169727 · Cited by 6 · see citing works
Cui, Y. (2024) · Forum for Linguistic Studies · doi:10.30564/fls.v6i6.7135 · Cited by 6 · see citing works
Liu, S., Boudouaia, A., Chen, X., & Li, Y. (2024) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-024-00903-9 · Cited by 6 · see citing works
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Wilson, J., Delgado, A. M., Palermo, C., Cordero, T. M. C., Myers, M. C., Eacker, H., Potter, A. A., Coles, J., & Zhang, S. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100231 · Cited by 6 · see citing works
Self-citationRoscoe, R. D., Balyan, R., McNamara, D. S., Banawan, M., & Schillinger, D. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2023.103059 · Cited by 6 · see citing works
Self-citationYan, Z., Jalaluddin, I. B., Mamat, R. B., & Zhao, T. (2025) · Journal of Language Teaching and Research · doi:10.17507/jltr.1603.20 · Cited by 5 · see citing works
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Baz, M. A., & Hasırcı, S. (2025) · Open Praxis · doi:10.55982/openpraxis.17.3.871 · Cited by 12 · see citing works
Deng, X. (2022) · International Journal of Technology-Enhanced Education · doi:10.4018/ijtee.305807 · Cited by 5 · see citing works
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Liu, S. (2022) · Journal of Language Teaching and Research · doi:10.17507/jltr.1304.09 · Cited by 5 · see citing works
Yue, H., & Wilson, J. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70009 · Cited by 6 · see citing works
Self-citationSegaran, M. K., Engeness, I., & Gamlem, S. M. (2025) · Computer Assisted Language Learning · doi:10.1080/09588221.2025.2539154 · Cited by 4 · see citing works
Automatic Punctuation Verification of School Students’ Essay in Portuguese
de Lima, T. B., Rodrigues, L., Macario, V., Freitas, E., & Mello, R. F. (2023) · doi:10.5753/eniac.2023.233559 · Cited by 4 · see citing works
Cost analysis and cost-effectiveness of hand-scored and automated approaches to writing screening
Matta, M., Keller‐Margulis, M. A., & Mercer, S. H. (2022) · Journal of School Psychology · doi:10.1016/j.jsp.2022.03.003 · Cited by 5 · see citing works
Academic Writing Problems in L2 Settings: Realities and Need for Intervention
Al-Khulaidi, M. A., & Abdulkhalek, M. M. (2022) · Journal of English Studies in Arabia Felix · doi:10.56540/jesaf.v1i1.15 · Cited by 4 · see citing works
Review of Feedback in Automated Essay ScoringPreprint
Jong, Y.-J., Kim, Y.-J., & Ri, O.-C. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4462105 · Cited by 4 · see citing works
Automated Subjective Answer Evaluation Using Machine LearningPreprint
Aggarwal, I., Gautam, P., & Parashar, G. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4483888 · Cited by 4 · see citing works
Consequences of Response Formats on Racial and Ethnic Bias and Fairness in Writing Assessments
Matta, M., & Hamsho, N. F. (2025) · School Psychology Review · doi:10.1080/2372966x.2025.2462984 · Cited by 3 · see citing works
Impact of Automated Writing Evaluation (AWE) on Middle School Students’ Writing Outcomes
Wilson, J., Palermo, C., Myers, M. C., Cordero, T. M. C., Eacker, H., Potter, A., Coles, J., May, H., & Zhang, F. (2025) · American Educational Research Journal · doi:10.3102/00028312251388655 · Cited by 3 · see citing works
Self-citationDrew, S. V., Thomas, J. D., & Nagle, C. (2024) · Exceptionality · doi:10.1080/09362835.2024.2376527 · Cited by 3 · see citing works
- Authors
- Wilson, J., & Roscoe, R. D.
- Affiliations
- University of Delaware (US)
- Arizona State University (US)
- Corresponding author
- Wilson, Joshua
- Venue
- Journal of Educational Computing Research
- Publisher
- SAGE Publications
- Published
- 2019-03-26
- Volume
- 58
- Issue
- 1
- Pages
- 87-125
- ISSN
- 0735-6331 (ISSN-L)
- 1541-4140
- OpenAlex
- W2923646821
- Cited by
- 176
- References
- 75
- Citations by year
- 2026: 34 · 2025: 30 · 2024: 30 · 2023: 27 · 2022: 26 · 2021: 17 · 2020: 10 · 2019: 2
- FWCI
- 37.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Computing Research (publishedVersion)
- Topics
- Social Sciences › Education › Writing and Handwriting Education
- Social Sciences › Education › Student Assessment and Feedback
- Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
- Keywords
- automated writing evaluation, writing self-efficacy, writing quality, Google Docs, writing instruction, teacher perceptions, social validity, junior high school students, writing feedback
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