• Research Article

    Expectations and Concerns about Adopting AI Digital Textbooks: Based on Investigation of Teachers’ Use of AI and Digital Tools

    AI 디지털교과서 도입의 기대와 우려: AI 및 디지털 도구 활용 실태 조사를 기반으로

    Hong, Sun Joo, Hwang, Yohan, Park, Yeonjeong, Lee, Sangmin

    홍선주, 황요한, 박연정, 이상민

    Recent advancements in AI and digital technologies have made personalized education more feasible. In this study, we surveyed 226 primary and secondary … + READ MORE
    Recent advancements in AI and digital technologies have made personalized education more feasible. In this study, we surveyed 226 primary and secondary school teachers about their experiences and perceptions of using AI and digital tools, the teaching and learning functions they expect from AI textbooks, and the preparations they need to make before adopting AI textbooks. Teachers in this study generally had positive perceptions of AI and digital tools and had experience using a variety of AI and digital tools. Teachers used various AI and digital tools in both teaching and learning activities, and were positive that upcoming AI digital textbooks woluld support personalized learning. The study provided considerations for the development of AI digital textbooks and teacher training in AI and digital education skills. - COLLAPSE
    PDFCitation
    ReferencesInformation
    31 May 2024

  • Research Article

    Study on the Quantificational Interpretation of Donkey Phrase in English: Utilizing Next Sentence Prediction with BERT
    Kang, Arum, Lee, Yong-hun
    The aim of this study is to explore the interpretation patterns of four different types of quantificational meaning (universal/existential/deictic/generic) of the donkey … + READ MORE
    The aim of this study is to explore the interpretation patterns of four different types of quantificational meaning (universal/existential/deictic/generic) of the donkey phrase in English. Specifically, we utilized two deep learning language models: ChatGPT and BERT. To analyze a dataset of 240 sentences, with 60 sentences generated by ChatGPT. We employ Next Sentence Prediction (NSP) for the analysis. Based on surprisal values, our statistical examination revealed a hierarchy of low surprisal values signifying high acceptability in quantificational interpretations: existential > universal > deictic > generic. Our findings also showed that stand-alone sentences favored pronoun usage in the donkey phrase, while in NSP, definite NP demonstrated a higher acceptability. This implies that, even in theoretical analysis, the E-type theory employing quantifier expressions may present a more suitable framework for donkey phrases compared to the discourse representation theory utilizing bound variable pronouns. - COLLAPSE
    PDFCitation
    ReferencesInformation
    31 May 2024

  • Research Article

    Evaluating Intra-Grade Consistency in First and Second-Year High School Mock CSAT Reading Passages via Coh-Metrix
    Lee, Hyejin, Ryu, Jisu, Jeon, Moongee
    This corpus-informed research, which employs the Coh-Metrix analysis, examines the intra-grade continuity of the first and second-year mock CSAT exams, administered quarterly … + READ MORE
    This corpus-informed research, which employs the Coh-Metrix analysis, examines the intra-grade continuity of the first and second-year mock CSAT exams, administered quarterly by four regional educational offices: Seoul in March, Busan in June, Incheon in September, and Gyeonggi Province in November. The corpus consisting of 200 reading passages compiled from the 2023 mock CSAT exams, was analyzed via Coh-Metrix to explore a broad spectrum of linguistic features across lexical, syntactic, textual, and cohesion-related indices. Overall, the results indicated that, except for the second-grade average word length, there was no statistically significant evidence to support strong intra-grade continuity. These findings provide valuable insights into the design and educational practices of the exams, highlighting areas for potential enhancement to meet test objectives more effectively. - COLLAPSE
    PDFCitation
    ReferencesInformation
    31 May 2024

  • Research Article

    Voices in Written Discourse: EFL Students’ Self-reflections on a Writing Course in a Korean University Setting
    Lee, Younghwa
    This study aims to investigate divergent aspects of written discourse, focusing on students’ ideational, interpersonal, and textual voices in a multicultural writing … + READ MORE
    This study aims to investigate divergent aspects of written discourse, focusing on students’ ideational, interpersonal, and textual voices in a multicultural writing course at a Korean university. The data comprised forty-three students’ self-reflections on EFL writing. ‘Intentional content analysis’ was used to analyze the data. The findings showed that, in terms of the ideational voice, 56% of the students aimed to enhance their English proficiency through writing for careers in English-related areas. They not only found pleasure in the writing process but also gained valuable insight, despite facing challenges with grammar and idea generation. Additionally, 92% of them found the course highly beneficial for their future careers and written communication. Regarding the interpersonal voice, 86% of the students emphasized the importance of various readers. Concerning the textual voice, 61% of the students lacked confidence in using relatives, conjunctions, and articles to form sentences, as well as in providing evidence and examples to construct paragraphs. The study suggests that teachers should develop students’ creative ideas through writing practices, taking into account writers’ voices in EFL writing. - COLLAPSE
    PDFCitation
    ReferencesInformation
    31 May 2024
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