Language technologies for enhancement of teaching and learning in writing

Lau, Tak Pang; Wang, Shuai; Man, Yuanyuan; Yuen, Chi; King, Irwin

doi:10.1145/2567948.2580058

Cited by 6 publications

(4 citation statements)

References 11 publications

(10 reference statements)

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“…Specifically to the latter point, considering the student's emotional state as an element to be evaluated to facilitate effective learning plays a primary role. According to Huang et al (2021), AI thus enhances the assessment process by giving more significant importance than before to the assessment of learning processes and individual student development (Lau et al, 2014). A perspective that delineates the potential shift from unidirectional toward bidirectional evaluation (Huang et al, 2021;Hao, 2022).…”

Section: Students' Assessment and Monitoringmentioning

confidence: 99%

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

et al. 2023

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Through a systematic analysis of the literature, this study analyzes the change in the teacher's role triggered by the integration of AI into educational systems. The picture offered by the systematic analysis of the literature conducted in this study reveals a less than total awareness of the urgency with which the challenges imposed by AI in the educational field must be addressed. We propose a manifesto to guide the evolution of the teachers' role according to the paradigm shift concept proposed by Kuhn in the scientific field.

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Section: Students' Assessment and Monitoringmentioning

confidence: 99%

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

et al. 2023

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“…We propose to implement the sentiment features in our tasks with sentiment analysis techniques, including sentiment polarity (pol) and subjectivity (sub). The sentiment polarity is the overall orientation of a certain text as positive or negative (Lau et al ., 2014).…”

Section: Review Quality Predictionmentioning

confidence: 99%

Assessing and predicting the quality of peer reviews: a text mining approach

Meng

2023

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Purpose This paper aims to quantify the quality of peer reviews, evaluate them from different perspectives and develop a model to predict the review quality. In addition, this paper investigates effective features to distinguish the reviews' quality. Design/methodology/approach First, a fine-grained data set including peer review data, citations and review conformity scores was constructed. Second, metrics were proposed to evaluate the quality of peer reviews from three aspects. Third, five categories of features were proposed in terms of reviews, submissions and responses using natural language processing (NLP) techniques. Finally, different machine learning models were applied to predict the review quality, and feature analysis was performed to understand effective features. Findings The analysis results revealed that reviewers become more conservative and the review quality becomes worse over time in terms of these indicators. Among the three models, random forest model achieves the best performance on all three tasks. Sentiment polarity, review length, response length and readability are important factors that distinguish peer reviews’ quality, which can help meta-reviewers value more worthy reviews when making final decisions. Originality/value This study provides a new perspective for assessing review quality. Another originality of the research lies in the proposal of a novelty task that predict review quality. To address this task, a novel model was proposed which incorporated various of feature sets, thereby deepening the understanding of peer reviews.

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“…In corporate English programs, the issue of writing abilities is addressed using technology (Kutlu, 2013). a professional writing toolset helps students compose papers and flags grammatical and spelling mistakes (Lau et al, 2014). Technology has helped facilitate the prewriting, drafting, revising, proofreading, and publication of written works (Evmenova & Regan, 2019).…”

Section: Applying Tpack-based Hots In Teaching Writing To Promote Efl...mentioning

confidence: 99%

TPACK-based HOTS in Teaching Writing for Promoting EFL Learning Quality on Higher Education: Applying “Program Merdeka Belajar – Kampus Merdeka and Kurikulum Paradikma Baru”

Waluyo,

Nahdiyah,

Fahriana

2023

JDR

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The purpose of the study is to describe the technology on TPACK-based HOTS applied by lecturers of a suburban university in teaching writing, and its challenge faced in-class interaction. Four English lecturers from Universitas Nahdlatul Ulama Blitar in Indonesia are the participants selected using the purposive sampling design. The process of data collection uses depth interviewing through the online system. Data are analyzed using a "holistic" viewpoint in case study. The results revealed that simple technology dominates the general interactions when teaching writing. Some lecturers may only have a basic understanding of utilizing technology to teach writing. Even they still favour using manual teaching. Because the internet network is poor, few students have technology equipment like laptops, and the interaction is tedious because students are unfamiliar with the technology. It is better that the government, schools, the community, and the primary critical holders for learning must work together in determining policies in the face of changes to use technology in all aspects of school interaction.

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Language technologies for enhancement of teaching and learning in writing

Cited by 6 publications

References 11 publications

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era

Assessing and predicting the quality of peer reviews: a text mining approach

TPACK-based HOTS in Teaching Writing for Promoting EFL Learning Quality on Higher Education: Applying “Program Merdeka Belajar – Kampus Merdeka and Kurikulum Paradikma Baru”

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