Exploring an AI-based writing Assistant's impact on English language learners

Gayed, John Maurice; Carlon, May Kristine Jonson; Oriola, Angelu Mari; Cross, Jeffrey S.

doi:10.1016/j.caeai.2022.100055

Cited by 110 publications

(88 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, these types of text generator designs should provide many suggestions that writers can swap out or replace frequently (Calderwood et al, 2020) and that might increase writer productivity (Lee et al, 2022). Ultimately, they should provide more structured assistance for learners than traditional word processors (Gayed et al, 2022), enabling a high level of student control over human-AI creative writing and catering to a wider range of writers (Clark et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…We conceptualize creative writing with NLG as a form of human-computer interaction, comprising dimensions of human writing, language models and software (Yang et al, 2022). Research into creative writing with NLG is emergent, focusing on genres of writing such as slogans and stories (Clark et al, 2018), metaphors (Gero & Chilton, 2019), news (Brown et al, 2020) and introductory computer programming assignments (Biderman & Raff, 2022); purposebuilt software (See, 2019;Kreminski et al, 2020;Gayed et al, 2022) and datasets (Lee et al, 2022); strategies for writing with NLG computer systems (Calderwood et al, 2020;Yang et al, 2022); and types of writers including adult, English foreign language learners (Gayed et al, 2022), professional novelists (Calderwood et al, 2020), professional poets and undergraduate students (Gero & Chilton, 2019), and graduate students (Yang et al, 2022).…”

Section: Student-ai Creative Writing: a Conceptual Frameworkmentioning

confidence: 99%

“…Writing is an ability not only to express oneself and to communicate (Long & Magerko, 2020), but also to acquire new knowledge and to restructure knowledge in varied disciplines (Ng et al, 2022). Furthermore, digital writing comprises many text types and demands a range of skills (Gayed et al, 2022) so that, for instance, digital story writing has emerged as a powerful pedagogical tool (Ng et al, 2022). Besides, since digital writing with AI is on the cusp of mainstream use (Johnson & Iziev, 2022) through such software applications as Grammarly and Google Translate, schools have a responsibility to prepare students for this future of everincreasing AI-mediated communication (Hancock, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Understanding English as a Foreign Language Students’ Idea Generation Strategies for Creative Writing With Natural Language Generation Tools

Woo¹,

Wang²,

Susanto³

et al. 2022

Preprint

View full text Add to dashboard Cite

Text generation is a function of artificial intelligence (AI) natural language processing. It can become an integral part of a human’s creative writing process. Importantly, a youths can learn to apply text generation in mainstream education and become better prepared for an AI-enhanced creative writing job and other writing endeavors. To explores how a student applies text generation to creative writing, we designed and implemented a 1st Human-AI Creative Writing Contest in a Hong Kong secondary school. In this contest, a student wrote a short story of up to 500-words using the student’s own words and words from any of four text generators designed for the contest and built on open-source language models. Additionally, using design-based research, we developed seven workshops where students wrote with text generators and answered reflection questions. In analyzing four students’ short stories, their reflections and adjudicators' scores for the stories, we found different strategies in terms of the number and the type of text generator words that students used. Some strategies appeared more sophisticated than others. We also found differences in sophistication when students described text generator input and output. Besides, students showed preferences for text generators; and they expressed a range of feelings when writing with text generators. The findings provide design implications not only for text generators in formal schooling but also for AI curriculum.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Student-ai Creative Writing: a Conceptual Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Understanding English as a Foreign Language Students’ Idea Generation Strategies for Creative Writing With Natural Language Generation Tools

Woo¹,

Wang²,

Susanto³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Although language features have been measured in compositions written with NLG tools that generate content (Gayed et al, 2022), it appears no attempt has been made to measure the language features of NLG content in compositions. By measuring the language features not only of the compositions as a whole but also of the NLG content in the compositions, we can identify students' patterns of interaction with NLG tools to compose written compositions.…”

Section: Methods Techniques or Modes Of Inquirymentioning

confidence: 99%

Natural Language Generation in Student Writing: Language Features, Strategies and Links to Successful Writing

Woo¹,

Susanto²,

Wang³

2022

Preprint

View full text Add to dashboard Cite

AI Natural Language Generation (NLG) is a process where computer systems generate human-comprehensible language texts from information. This study explores students’ writing quality with NLG tools that students use to generate content for their writing. We analyzed the language features of four short stories composed by students with NLG tools in a Hong Kong mainstream secondary school. In the stories, we found different patterns in basic organization and structure and syntactic complexity for words from NLG tools. Human raters scored the stories and we found more sophisticated strategies for student interaction with NLG tools appear more effective for human ratings. The findings provide pedagogical strategies and technical specifications to use NLG tools for writing in classroom contexts.

show abstract

“…Artificial intelligence (AI) is a topic that is frequently mentioned in the context of education. Typically the discussion is either about how AI can and will change how we teach and learn (eg Kangasharju, et al 2022;Gayed, et al 2022) or how the substance we are teaching should be changed to correspond to the changed needs and requirements for the future workforce (eg. World Economic Forum, 2020).…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Education – Where Are We Now?

Kurvinen¹,

Järvinen²,

Kaila³

2022

Education and New Developments 2022 – Volume 2

View full text Add to dashboard Cite

"There has been a lot of talk about artificial intelligence (AI) in education recently. However, the utilization of AI in an educational context does not always seem to match with application in a general context. While we are seeing great advances in the development of AI in self-driving cars, facial recognition or computers excelling in chess, the development of intelligent teaching assistants may seem to be lacking. In this article, we take a look at the current state of utilization of AI in an educational context. For this, we reviewed the current literature about artificial intelligence specifically in education. Ten high quality educational journals, with five having special focus on technology, were selected for the review. Based on the review, it seems that artificial intelligence is still mostly covered from a technical point of view, as there were only a handful of articles found in purely educational journals. The main focus seems to be on case studies and in including AI based courses in curriculum, followed by meta studies and critical reviews. Surprisingly, there were only a couple of articles about the ethical concerns of using AI in education, while in general the ethics of AI seems to be quite a popular topic. The total number of articles written about AI in education seems to be nevertheless increasing each year, which seems to be in line with the general interest of AI."

show abstract

Exploring an AI-based writing Assistant's impact on English language learners

Cited by 110 publications

References 26 publications

Understanding English as a Foreign Language Students’ Idea Generation Strategies for Creative Writing With Natural Language Generation Tools

Understanding English as a Foreign Language Students’ Idea Generation Strategies for Creative Writing With Natural Language Generation Tools

Natural Language Generation in Student Writing: Language Features, Strategies and Links to Successful Writing

Artificial Intelligence in Education – Where Are We Now?

Contact Info

Product

Resources

About