Linguistic features in writing quality and development: An overview

SA Crossley - Journal of Writing Research, 2020 - jowr.org
This paper provides an overview of how analyses of linguistic features in writing samples
provide a greater understanding of predictions of both text quality and writer development …

Artificial intelligence in educational assessment:'Breakthrough? Or buncombe and ballyhoo?'

J Gardner, M O'Leary, L Yuan - Journal of Computer Assisted …, 2021 - Wiley Online Library
Artificial Intelligence is at the heart of modern society with computers now capable of making
process decisions in many spheres of human activity. In education, there has been intensive …

[HTML][HTML] Exploring the potential of using an AI language model for automated essay scoring

A Mizumoto, M Eguchi - Research Methods in Applied Linguistics, 2023 - Elsevier
The widespread adoption of ChatGPT, an AI language model, has the potential to bring
about significant changes to the research, teaching, and learning of foreign languages. The …

Content analysis of textbooks via natural language processing: Findings on gender, race, and ethnicity in Texas US history textbooks

L Lucy, D Demszky, P Bromley, D Jurafsky - AERA Open, 2020 - journals.sagepub.com
Cutting-edge data science techniques can shed new light on fundamental questions in
educational research. We apply techniques from natural language processing (lexicons …

How sensory language shapes influencer's impact

GL Cascio Rizzo, J Berger, M De Angelis… - Journal of Consumer …, 2023 - academic.oup.com
Influencer marketing has become big business. But while influencers have the potential to
spread marketing messages and drive purchase, some posts get lots of engagement and …

A large-scaled corpus for assessing text readability

S Crossley, A Heintz, JS Choi, J Batchelor… - Behavior Research …, 2023 - Springer
This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides
unique readability scores for~ 5000 text excerpts along with information about the excerpt's …

Explainable automated essay scoring: Deep learning really has pedagogical value

V Kumar, D Boulanger - Frontiers in education, 2020 - frontiersin.org
Automated essay scoring (AES) is a compelling topic in Learning Analytics for the primary
reason that recent advances in AI find it as a good testbed to explore artificial …

[HTML][HTML] Syntactic and lexical features of adolescent L2 students' academic writing

U Maamuujav, CB Olson, H Chung - Journal of Second Language Writing, 2021 - Elsevier
With a premium placed on academic writing in the US secondary education context,
adolescent L2 students are expected to develop advanced skills to analyze, interpret, and …

To what extent are multiword sequences associated with oral fluency?

P Tavakoli, T Uchihara - Language Learning, 2020 - Wiley Online Library
This study examined the relationship between oral fluency and use of multiword sequences
(MWSs) across four proficiency levels (Low B1 to C1 of the Common European Framework …

Automated essay scoring and the deep learning black box: How are rubric scores determined?

VS Kumar, D Boulanger - International Journal of Artificial Intelligence in …, 2021 - Springer
This article investigates the feasibility of using automated scoring methods to evaluate the
quality of student-written essays. In 2012, Kaggle hosted an Automated Student Assessment …