• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.121-127
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• 2023

The purpose of this pilot study is to examine the responses of middle school students to English learning after conducting English writing activities using DALL-E2, an image-generating artificial intelligence tool. To this end, an experimental class was conducted for 3 weeks for 15 middle school English learners, and the results are summarized as follows. First, as a result of a survey on English writing activities using DALL-E2, it was found that confidence, interest, and awareness of writing using artificial intelligence-based tools changed positively. In addition, it was confirmed that there was a statistically significant difference, which meant that learning using artificial intelligence had a positive effect on English writing and overall English learning. Second, as a result of analyzing the English writing activities using DALL-E2, core themes could be extracted into three (cognitive, affective, and psychodynamic characteristics), and the use and implementation of artificial intelligence-based DALL-E2 in English learning showed potential to increase learning interest, challenge, will, and desire in learning and ultimately contribute to enhancing productive skill.

• Korean Journal of Comparative Education
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• v.28 no.2
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• pp.97-121
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• 2018

The numbers of Korean immigrants and students in the United States are steadily increasing, but there have been very few studies of their second language literacy development (Cole, Maddox, Lim, & Notari-Syverson, 2002; Scarcellar & Chin, 1993; Shin, 1994; Skilton-Sylvester, 2001; Yu, 1994). Nor do the very few studies explore the inseparable relationship between Korean literacy and English literacy within a cultural context. This study aims to compare their views on Korean writing with those on English writing to see trace the multiliteracy development of Korean learners of English in the United States. I conducted in-depth oral interviews with Korean immigrants and students of various ages. They were asked to state everything they could remember about what they have learned to write and read in their native language and in their second language across their lifetimes, focusing particularly on the institutions they attended, materials they used, people involved in their learning, and their motivations for writing. The results reveal that the participants developed a view of writing specific to the Korean context and after they moved to the United States, they struggled to readjust the values and meanings they had had for Korean literacy to the second language context. The results of this study suggest future multiliteracy studies are needed to explore multiliteracy development in terms of the meanings and values language learners associate with their multiliteracy and help educational institutions and communities to approach second language learners' multiliteracy development as a life-long experience.

• Annual Conference on Human and Language Technology
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• 2011.10a
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• pp.25-29
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• 2011

영어 논술 자동 평가 시스템은 수험자가 쓴 에세이에 대하여 전문 평가자가 직접 읽고 평가하는 방식에서 벗어나 웹상에서 자동으로 평가 받을 수 있는 실시간 시스템이다. 하지만 비영어권 수험자에게는 논리력 혹은 작문 능력보다 그것을 영어로 표현하는 유창성에서 더 큰 문제가 있을 수 있는데 기존 연구에서는 이런 측면에 대한 평가가 부족하였다. 본 연구에서는 보다 정확한 비영어권 수험자의 영어 논술 평가를 위해 어휘력, 문장 구조의 다양성, 문장의 혼잡도를 평가하여 언어 유창성에 집중된 기계학습 방법의 추가적인 자질을 제안한다. 실험 결과 전문 평가자의 점수와 1) 상관관계 2) 정확도 측면에서 제안하는 방법은 기존의 방법에 비해 더 나은 성능을 보였다.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.432-439
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• 2020

This study aims at exploring features of Korean university students' written text, focusing on the written voice, rhetorical patterns, and writing practices through English letters. The data comprised examples of students' English job applications, and a 'purpose-will' model was adopted for the data analysis. The findings showed that the students used unique ways of strategies to convey their voice in a recontextualized setting. Their written voice in the job applications were various, and nobody applied the Korean convention of weather opening. Their rhetorical patterns were a transformation from convergence to divergence, showing integrated patterns of written voice. Students' writing practices revealed their internal values of writing for a task, and they do not directly learn from the teacher's syllabus. This supports the sociocultural framework that learning is a situated activity in a specific discourse community. The study concludes that writing teachers should understand that life-world and learning experience can impact on students' written voice and practices.

• Journal of KIISE
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• v.41 no.11
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• pp.911-920
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• 2014

In this paper, we introduce an automatic scoring system for middle-school level writing test based on using machine learning techniques. We discuss overall process and features for building an automatic English writing scoring system. A "concept answer" which represents an abstract meaning of text is newly introduced in order to evaluate the elaboration of a student's answer. In this work, multiple machine learning algorithms are adopted for scoring English writings. We suggest a decision process "optimal combination" which optimally combines multiple outputs of machine learning algorithms and generates a final single output in order to improve the performance of the automatic scoring. By experiments with actual test data, we evaluate the performance of overall automated English writing scoring system.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1290-1293
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• 2013

본 논문은 문장 내에서 나타나는 어휘간의 관계를 통해 표현 수준을 자동으로 평가할 수 있는 시스템을 제안한다. 제안하는 방법은 영어에세이 코퍼스 내의 문장에서 발생하는 철자 및 문법의 오류와 함께 어휘와 문법 패턴에 따른 표현난이도를 평가할 수 있는 자질을 생성하고 다양한 기계학습기법을 사용하여 문장의 수준을 평가하고자 하였다. 또한 기존에 연구되어온 규칙기반의 문장 평가시스템을 구현하고 기계학습기법을 이용한 문장 평가시스템과 비교하였다. 이를 통해 철자 및 문법의 오류율뿐만 아니라 표현난이도를 평가할 수 있는 자질들이 유용함을 확인할 수 있었다. 영어작문 문장의 수준평가를 위해서 국내 학생들의 토플 에세이 코퍼스를 수집하여 2,000문장을 추출하였고, 4명의 전문평가자들을 통해 6단계로 평가하여 학습 및 테스트 세트를 구성하였다. 성능척도로는 정확률과 재현율을 사용하였으며, 제안하는 방법으로 67.3%의 정확률과 67.1%의 재현율을 보였다.

• Journal of KIISE
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• v.42 no.12
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• pp.1522-1534
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• 2015

This work presents a new method that can predict, without the use of training data, whether an input essay is written on a given topic. ConceptNet is a common-sense knowledge base that is generated automatically from sentences that are extracted from a variety of document types. An essay prompt is the topic that an essay should be written about. The method that is proposed in this paper uses ConceptNet and an essay prompt to decide whether or not an input essay is off-topic. We introduce a way to find the shortest path between two nodes on ConceptNet, as well as a way to calculate the semantic similarity between two nodes. Not only an essay prompt but also a student's essay can be represented by concept nodes in ConceptNet. The semantic similarity between the concepts that represent an essay prompt and the other concepts that represent a student's essay can be used for a calculation to rank "on-topicness" ; if a low ranking is derived, an essay is regarded as off-topic. We used eight different essay prompts and a student-essay collection for the performance evaluation, whereby our proposed method shows a performance that is better than those of the previous studies. As ConceptNet enables the conduction of a simple text inference, our new method looks very promising with respect to the design of an essay prompt for which a simple inference is required.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.513-523
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• 2019

The purpose of this study is to investigate the perception of pre-service secondary English teachers on peer feedback in English composition. For this purpose, a total of 37 students who took the English composition class for 15 weeks participated in the survey. After completing the survey, data were analyzed to find out the students' perception on peer feedback performed in their English composition class through frequency analysis and descriptive statistics. The findings of this study are as follows: First, the students showed positive attitudes towards on peer feedback activities. Second, the participants had received considerable help in the content, ideas and organization of their composition. Third, noticing that they all have made similar mistakes in their writing, the subjects were relieved to know that they are not falling behind their other colleagues. Fourth, the subjects did not trust the feedback contents among the peers, which were found in both the feedback giver and receiver. In particular, feedback from peers who had low English proficiency was rarely helpful. Fifth, the students were afraid that their relationship might become uncomfortable with peers when they pointed out peer's writing errors or made specific suggestions about their peer's writing. Finally, pedagogical implications were discussed based on the research findings.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.99-106
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• 2020

Though it has been known that self-efficacy is a predictor to the successful L2 learning, the majority of studies on self-efficacy cases were targeted at secondary school students. This paper aims to explore the effects of the intermediate college students' essay writing experiences on their English self-efficiency. For this purpose, pre and post course surveys were conducted on a hundred or so freshmen who took intermediate college English classes which focused on improving English reading and writing skills. Interviews with teachers were also conducted in order to find out whether the differences of their teaching styles had any meaningful impact on their students' self-efficacy. Paired t-test was run on the responses of the post-questionnaire to identify any differences in the self-efficacies of the students before and after taking the classes, and the one-way ANOVA was conducted to find out whether the different instruction types had any significant impact on the differences. The results of the both analyses confirmed the differences of self-efficacies by the two predictors at a statistically significant level. Based on the findings of this paper, various types of writing assignments and efficient procedures of teachers' feedback need to be developed further in order to design and run an effective college English course which can contribute to enhancing self-efficacy of students.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.426-436
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• 2022

This study aimed to explore the role of models and reformulations as feedback to English writing in L2 learners' noticing and their writing. 92 participants were placed into three groups; a models group (MG), a reformulations group (RG), a control group (CG), involved in a three-stage writing task. In stage 1, they were asked to perform a 1st draft of writing, while taking notes on the problems they experienced. In stage 2, the MG was asked to compare their writing with a model text and the RG with a reformulated version of it. They were instructed to write down whatever they noticed in their comparison. The CG was asked to just read their writing. In stage 3, all the participants attempted subsequent revisions. The results indicated that all the participants noticed problematic linguistic features the most in a lexical category, and models and reformulations led to higher rate of noticing the problematic linguistic features reported in stage 1 and contributed to subsequent revisions. It was also revealed that the MG and RG significantly improved with their writings of MG and RG on the post-writing test. The findings imply that models and reformulations result in better performance in L2 writing and should be promoted in an English writing class.