• 제목/요약/키워드: learner data

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Impact of Teachers’ Overcoming Experience of Threshold Concepts in Chemistry on Pedagogical Content Knowledge (PCK) Development

  • Park, Eun Jung
    • 대한화학회지
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    • 제59권4호
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    • pp.308-319
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    • 2015
  • As a follow-up study to identify references for threshold concepts in science, 20 high school chemistry teachers were interviewed. Seven concepts were identified as threshold concepts. The data revealed that teachers overcome the thresholds while they are teaching as well as learning during their school years. This explains that the mastery experience of threshold concepts involve not only the process of creating subject matter knowledge of a learner but also the reflection on or preparation for teaching. Hence, the current study proposes that a strong relationship exists between the mastery experience of threshold concepts and the development of teachers’ pedagogical content knowledge (PCK). In this regard, findings from this study will provide valuable information to understand the nature of threshold concepts and suggests the value of mastery experience of threshold concepts in terms of PCK development.

Tin-Can을 이용한 온라인 학습자의 활동 수집 방안 (Activity Collection Plan of Online Learner Using Tin-Can)

  • 이설화;임희석
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2015년도 추계학술발표대회
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    • pp.1655-1658
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    • 2015
  • Tin-Can은 SCORM의 한계를 극복하고자 미국 표준제정기관인 ADL(Advanced Distributed Learning)에서 개발하였다. SCORM의 차세대 버전으로 탄생한 Tin-Can은 Experience API (XAPI) 라고도 불리며 학습자가 학습경험을 얻는 과정을 저장하는 도구로써 각광을 받고 있다. 온라인 학습환경에서 중점 중의 하나는 Learning Analytics를 통하여 학습자에게 맞춤형 학습을 제공하는 것이다. 이를 위해서는 학습자의 활동 정보(Activity Data)를 데이터베이스화하는 것이 중요한데 위와 같은 기능들을 모두 제공해 줄 수 있는 것이 Tin-Can이다. 본 논문에서는 Tin-Can에 대해 설명하고, 온라인 학습환경에서 Tin-Can을 접목하여 학습 활동 정보를 수집하는 방법에 대해서 설명한다.

Effects of Cultural Teaching through Movies in English Classes on EFL College Students' Attitudes towards English Reading

  • Baek, Jiyeon
    • International Journal of Advanced Culture Technology
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    • 제8권4호
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    • pp.177-182
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    • 2020
  • In the age of technology and information, communicating with people from different cultures is significantly important. Regarding this perspective, communicative competence has been the focus in the EFL educational context. The purpose of this study is to investigate the effectiveness of using movies in a culture-integrated English reading course at the college level. In order to achieve this purpose, pre- and post-reading comprehension tests, pre- and post-surveys and in-depth interviews were conducted. The results of data analysis showed that using movies in the culture-integrated English reading class positively affected students' interest and confidence towards English reading as well as their reading achievement. In this respect, we suggest that cultural teaching through movies in English classes should be learner-centered so that learners can proactively analyze and understand different cultural backgrounds shown in the movies and build schemas which can be used in their learning process.

The Clustered Patterns of Engagement in MOOCs and Their Effects on Teaching Presence and Learning Persistence

  • Kim, Hannah;Lee, Jeongmin;Jung, Yeonji
    • International Journal of Contents
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    • 제16권4호
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    • pp.39-49
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    • 2020
  • The goal of this research was to understand the patterns of multidimensional engagement in MOOCs. An email with an online survey link was sent to enrollees in an MOOC course. The survey included 35 questions asking about engagement, teaching presence, and learning persistence. The items were validated in the literature, revised for the MOOC setting, reviewed by four professionals in the field of educational technology, and used in the study. A heterogeneous group of 170 individuals gathered through convenience sampling participated in the study. With cluster analysis of the engagement data, three groups were identified: Cluster1, 2, and 3. Cluster 1 scored high on behavioral, emotional, and cognitive engagement. Cluster 2 scored high on behavioral aspects but low on emotional and cognitive engagement. Cluster 3 scored low on behavioral and cognitive engagement but high on emotional aspects. The study addressed cluster-specific learner characteristics and differences in perceived teaching presence and learning persistence. Design strategies pertaining to each cluster were further discussed. These strategies may guide instructors and practitioners in the design and management of MOOCs and should be further validated through future studies.

Examining How Teacher Identities Explain Their Interactions with Students in Small Groups

  • Pak, Byungeun
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제25권2호
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    • pp.117-133
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    • 2022
  • Examining ways to interact with students in small groups is an important topic for researchers to understand. Existing studies pertaining to the topic have not shed light on knowing why teachers interact with students in small groups the way they do. Given that teacher identity shapes teaching practices, this study explores how teacher identity shapes teachers' interaction with students in small groups. Working with two beginning teachers, I conducted four interviews to collect the data related to reasons behind their interactions with students in small groups in the interview. I analyzed the interview transcripts using a thematic analysis. I found that one teacher's teacher identity was related to her personal experiences as a child and a learner and another teacher's teacher identity was related to her view of teachers' roles as a teacher. I provide discussion and implications of this study.

A Study on the Development of Korean Curriculum for Multicultural Students Using AI Technology

  • GiNam, CHO;Yong, KIM
    • 4차산업연구
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    • 제3권1호
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    • pp.21-32
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    • 2023
  • Purpose - This study focused on the development of a Korean language curriculum to solve the problem of Korean literacy among students from multicultural families. Research design, data, and methodology - A case study was conducted on Sim(2018)'s learner-centered learning model to develop an educational plan including AI technology, which will help students from multicultural families to effectively improve their communication and learning skills by improving their reading, writing, and speaking of Korean. Result - Total of six educational plans using AI technology (Microsoft PowerPoint's drawing function, AutoDraw, and Google's Four-cut cartoons) were developed. Conclusion - The curriculum using AI is expected to greatly contribute to the recovery of language learning ability and confidence in studies necessary to improve learners' language education.

팀기반학습 적용을 위한 교육지원시스템의 활용 효과 (Effects of a Learning Management System on Applying Team-based Learning)

  • 김성빈;김재엽
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.186-187
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    • 2021
  • Education in Korean universities is rapidly expanding to online education due to COVID-19. In response to such changes, this study proposed a means of improving the learning management system of Korean universities and analyzed the effects of using the system. The important results of this study are as follows: the learning management system was composed of 'pre-class learning,' 'team activity,' and 'participation learning' to support team-based learning. The effects that the users (instructors, learners) can obtain by adopting team-based learning and using the system were analyzed. The study concludes that for instructors, teaching work may be alleviated. For learners, it was demonstrated that they could more easily access and use data required for their education.

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A Corpus-Based Study on the Vocabulary Development of Korean Learners

  • Sinhye Nam;Chaerin Jang;Sunyoung Kim
    • Journal of Information Processing Systems
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    • 제20권4호
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    • pp.477-490
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    • 2024
  • This study identifies the vocabulary usage patterns of Korean heritage language learners. We analyzed the interlanguage of the Korean heritage language learners and examined their vocabulary usage patterns, especially the major content keywords being used at their respective proficiency levels. The Korean Learner's Corpus from the National Institute of Korean Language is used for the data analysis. We found that as the heritage language learners' proficiency increases, low-frequency (high-level) vocabulary is often used as the keywords and the semantic vocabulary areas expand from daily to social to specialized fields. It is therefore confirmed that the vocabulary use of Korean heritage language learners develops as their proficiency increases. This study confirms the development of Korean vocabulary in Korean heritage language learners and exemplifies how corpus-based applied linguistic research and computer science can be integrated using a keyword extraction algorithm.

Analysis of e-Learning Style Based on Learner Characteristics

  • In-Suk RYU;Jin-Gon SHON
    • 4차산업연구
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    • 제4권2호
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    • pp.1-9
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    • 2024
  • Purpose: While most studies focus on learning styles in face-to-face education, research on online learning environments, especially by age in lifelong education, is limited. This study aims to propose a direction for online learning by analyzing digital literacy and e-Learning learning styles by age in lifelong education. Research design, data and methodology: The study surveyed 100 online learners from an open university in Seoul. Using an e-Learning learning styles test, frequency analysis was conducted by gender, age, and digital literacy. A learning plan was then proposed based on the results. Results: The study found no age-related differences in digital literacy. Both men and women shared similar ratios of Environment-dependent and self-directed learning styles, reflecting the characteristics of online learners using digital devices. Conclusions: In lifelong education, e-Learning design should accommodate diverse learning styles: web/app designs for Environment-independent and self-directed learners, short/long formats for Passive learners, real-time (LMS)/non-real-time (ZOOM) systems for Positive and cooperative learners, and AI/human tutors for Environment-dependent and self-directed learners.

빅데이터와 AI를 활용한 교육용 자료의 분석에 대한 조사 (A Survey on Deep Learning-based Analysis for Education Data)

  • 노영욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.240-243
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    • 2021
  • 최근에 빅 데이터와 AI 기술을 교육의 평가와 개별 학습에 적용하는 연구 성과가 있었다. 정보 기술의 혁신으로 소셜 미디어, MOOC, 지능형 개인지도 시스템, LMS, 센서 및 모바일 장치 등으로부터 학생들의 개인 기록, 생리학적 데이터, 학습 로그 및 활동, 학습 성과 및 결과를 포함하는 동적이고 복잡한 데이터를 수집 가능하였다. 또한 COVID-19 환경에서 e-러닝이 활성화 되어 많은 양의 학습 데이터가 생성되었다. 이 데이터로부터 학습 분석과 AI 기술을 적용하여 의미있는 패턴의 추출과 지식의 발견이 될 것으로 예상된다. 학습자 측면에서 학생의 학습 및 정서적 행동 패턴과 프로필을 식별하고, 평가 및 평가 방법을 개선하고, 개별 학생의 학습 성과 또는 중퇴를 예측하고, 개인화 된 지원을 위한 적응 시스템에 대한 연구는 필요하다. 본 연구에서는 교육용 데이터를 대상으로 이상탐지와 추천시스템에서 사용하는 기계학습 기술에 대한 조사와 분류를 하여 교육 분야의 연구에 기여하고자 한다.

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