Kimberly BeckerMoxie
Kimberly Becker
PhD in Applied Linguistics & Technology
Co-Founder, Moxie
(www.moxielearn.ai)
About
27
Publications
24,690
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
62
Citations
Introduction
Kimberly Becker is a co-founder at MoxieLearn.ai (Academic Insight Lab) and the Doctoral Writing Consultant for Midland University. She specializes in disciplinary academic writing and the ethical use of AI for research communication. She supports scholars' improvement in written, oral, visual, and electronic modes, focusing on coaching English for Research Publication Purposes (ERPP).
Additional affiliations
August 2015 - December 2019
Publications
Publications (27)
This paper examines the integration of generative artificial intelligence (AI) in doctoral writing pedagogy. It explores how AI augments traditional teaching and composition processes , fosters a new paradigm of cognitive engagement and collaborative academic writing , and the broader ethical and social implications of human-AI writing in doctoral...
This white paper serves as a precursor to a theoretical paper about AI literacy education in higher ed.
The framework proposed in this paper builds on Selber’s (2004) framework for digital
literacies by adapting it to the complexities of AI in a post-digital age. Following Selber’s categorization, we divided AI literacy into functional, critical, and rhetorical dimensions. Our adaptation redefines these categories within the context of common academi...
Rapid advancements in generative artificial intelligence (AI), specifically large language models (LLMs), offer unprecedented opportunities and challenges for qualitative researchers. This paper presents comprehensive guidelines for the ethical and effective use of LLMs in the development and refinement of interview protocols. Through a multidiscip...
Background: There is a need for effective strategies for developing scholarly writing skills in post-secondary nursing students. Generative artificial intelligence (GAI) tools such as ChatGPT for automated writing evaluation (AWE) hold promise for mitigating challenges associated with scholarly writing instruction in nursing education. This paper d...
This article investigates the potential of Large Language Model (LLM) tools like ChatGPT in aiding researchers in the development and refinement of interview protocols. We found that ChatGPT could generate appropriate interview questions, craft key questions, provide feedback on protocols, and simulate interviews, indicating its potential to reduce...
This article reports on a new Multi-dimensional model of graduate student coursework writing in two applied science disciplines from a corpus containing 1,108 texts and 2,008,316 words. The Exploratory Factor Analysis (EFA) revealed five dimensions: (1) Conceptual Information vs. Process-Focused Actions (2) Human/Subjective- vs. Entity/Objective- F...
Producing proficient written discourse in a second language (L2) is a challenging and complex activity involving different dimensions of knowledge and skill. It requires learners to not only accurately and coherently express ideas in ways that are expected or conventionalized by target socio-disciplinary discourse communities, but to also effective...
This book (https://iastate.pressbooks.pub/preparingtopublish/) offers a wealth of instructional material on the topic of research article writing for publication and thesis or dissertation completion. The text provides graduate student writers with helpful information, strategies, and tips on navigating disciplinary writing in their fields and how...
This volume showcases some of the latest research on academic writing by leading and up-and-coming corpus linguists. The studies included in the volume are based on a wide range of corpora spanning first and second language academic writing at different levels of writing expertise, containing texts from a variety of academic disciplines (and sub-di...
This paper reports on a case study of a Chinese physics professor at a university in Shanghai, China. The purpose of the study is to investigate how his classroom explanations on causal meanings are realized through lexicogrammatical features in English as a foreign language. Data consist of a 60-minute lecture from a series of 20 hours of video re...
Over the last two decades, the question of whether to use technology has shifted to how to best employ technology in the language learning context. In this paper, we will draw on theory and twenty-five years of practice to share insights on how to use educational technology in the language learning classroom and encourage teachers to integrate educ...
Computer-assisted language learning (CALL) may be viewed as being beyond the reach for many practitioners in low-resource environments because of its dependence on access to technology. However, for CALL to have a global impact, training teachers and teacher trainers in low, mid, and high-resource environments is essential. In this presentation, we...
Electronic Lexicography is an edited collection of twenty chapters covering
a broad range of topics related to the creation and management of electronic
dictionaries (EDs). The appeal of the book is that, as the chapters unfold, the
reader becomes increasingly convinced of the significance of the design, use
and application of electronic dictionari...
Questions
Question (1)
I'd love to hear how others use AI to enhance their research efficiency.