• Educational Technology International
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• v.11 no.2
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• pp.43-75
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• 2010

The purpose of this study is to identify patterns of learner behaviors, conflicting and facilitating factors during collaborative work in an online learning community(OLC). This study further seeks to investigate the difference of learner behaviors between high- and low-performing groups, and conflicting and facilitating factors. The online postings from four groups(19 students) in the spring semester(study 1) and six groups(24 students) in the fall semester(study 2) were analyzed. A coding scheme was generated based on constant comparison using the qualitative data analysis tool, NVivo. The analysis identified 7 categories of learner behaviors in both studies. Among the seven categories, information seeking and co-construction were most frequently observed in both studies. One evident difference between the high- and low-performing groups was that the high-performing groups revealed more incidents of learner behaviors in both studies. In addition, six categories of conflicting factors and five categories of facilitating factors were emerged in both studies. The inefficiency of work category was one of the most frequently observed categories in both studies. Interestingly, the high-performing groups showed more incidents of conflicting factors than the low-performing groups. This study revealed two different types of conflicting factors and there is a need for different moderating strategies depending on its type. Based on the results of the study, effective design strategies for an OLC to facilitate active learning were suggested.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.127-135
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• 2011

It is required that an e-learning system has a content recommendation component which helps a learner choose an item. In order to predict items concerning learner's interest, collaborative filtering and content-based filtering methods have been most widely used. The methods recommend items for a learner based on other learner's interests without considering the knowledge level of the learner. So, the effectiveness of the recommendation can be reduced when the number of overall users are relatively small. Also, it is not easy to recommend a newly added item. In order to address the problem, we propose a content recommendation method based on the similarity and the difficulty of an item. By using a recommendation function that reflects both characteristics of items, a higher-level leaner can choose more difficult but less similar items, while a lower-level learner can select less difficult but more similar items, Thus, a learner can be presented items according to his or her level of achievement, which is irrelevant to other learner's interest.

• Journal of Creative Information Culture
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• v.5 no.2
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• pp.165-171
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• 2019

As the interest in software education grew, the Ministry of Education was also required to provide software education for practical course of grades 5-6. In this study, learner-centered evaluation was applied to software education to analyze its effectiveness. It is hoped that many teachers will apply learner-centered evaluation to software education to become more effective software education in school. In a learner-centered evaluation, students can expect positive effects by actively participating in classes and engaging in active learning activities. Through learner-centered evaluation, we have taken into account the various background variables to see how students' three aspects, creativity, problem-solving ability and information-use ability change, and how learner-centered evaluation affects these abilities in software education. The result of research have shown that in software education, learner-centered evaluations have all had significant effects on creativity, problem-solving ability and information-use ability, as well as the existence of entry/scratch study experience.

• Educational Technology International
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• v.20 no.2
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• pp.223-255
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• 2019

The purpose of this study is to draw implications for designing online tools to support monitoring in collaborative learning. For this purpose, eighteen research papers that explored learner dashboards and group awareness tools were analyzed. The driving questions for this analysis related to the information and outcomes that must be monitored, whose performance they represent, and who monitors the extent of learning. The analytical frameworks used for this study included the following: three modes of co-regulation in terms of who regulates whose learning (self-regulation in collaborative learning, other regulation, and socially shared regulation) and four categories of dashboard information to determine which information is monitored (information about preparation, participation, interaction, and achievements). As a result, five design implications for learner dashboards that support monitoring were posited: a) Monitoring tools for collaborative learning should support multiple targets: the individual learner, peers, and the entire group; b) When supporting personal monitoring, information about the individual and peers should be displayed simultaneously to allow direct comparison; c) Information on collaborative learning achievements should be provided in terms of the content of knowledge acquired rather than test scores; d) In addition to information related to interaction between learners, the interaction between learners and learning materials can also be provided; and e) Presentation of the same information to individuals or groups should be variable.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.69-76
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• 2012

The purpose of the study is to identify the relationship among the variables related learner's satisfaction, flow experience and self-directedness and verify the path model of causal relationship among those variables in web based computer e-learning. Based on the theoretical rationale, we hypothesized the path model including learner's satisfaction as outcome variable, flow experience and self-directedness as causal and mediating variables. A total of 193 students were participated in this study and the main results showed as follows: 1. Learner's self-directedness showed significant (p<.01), indirect effect on learner's satisfaction mediated by flow experience and the flow experience showed significant (p<.01), direct effect on learner's satisfaction; 2. Among 7 constructs of self-directedness, 'creative approach', 'love of learning', 'self-confidence as a learner' showed significant (p<.01), indirect effects on learner's satisfaction mediated by 'clear goals' construct among flow experience.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1019-1029
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• 2014

In recent years, researchers have become increasingly interested in the creation and pedagogical use of English learner corpora. Many studies have shown that learner corpora can not only make a significant contribution to second language acquisition research but also contribute to the construction and evaluation of language tests by advancing our understanding of English learners. So far, however, little attention has been paid to the Korean EFL (English as a foreign language) learners' corpus. The Yonsei English Learner Corpus (YELC 2011) is a specialized, monolingual, and synchronic Korean EFL learner corpus that was developed by Yonsei University from 2011 to 2012. Over 3,000 Korean high school graduates (or equivalents) who were accepted by Yonsei University for their further studies participated in this project. It consists of 6,572 written texts (1,085,828 words) at nine different English proficiency levels. In this paper, we describe its compilation, and more specifically, how we have corpusized from a text archive to a corpus. After introducing the process of corpusization, we report arresting insights into the specific linguistic features that different proficiency levels of Korean learners of English have. This study also discusses the potential use of the YELC 2011 which is now freely available for research purposes.

• Journal of the Korean Society of Earth Science Education
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• v.2 no.1
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• pp.48-54
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• 2009

This study aims to find out any effect of a POE model in the earth science unit of middle school(POE: prediction-observation-explanation). So this report compared and analyzed the effect that POE class and teacher-oriented class have on the level of learner science process skill and science academic achievement. Two groups, which were composed of 66 students and 64 students of middle school 2rd grade in Gyeongsangnamdo for this study, respectively, were selected as an experimental group and a comparative group. Through the pretest, the level of learner science process skill and science academic achievement were investigated. And learner science process skill and science academic achievement was verified with t-test. The findings of the study are as follows: First, as a result of analyzing the pre-test and the post-test for finding out the effect of class offering the POE model on learner science process skill, the class offering the POE model was shown effective for improving learner science process skill. However, the POE class was found significantly effective for improving the sub-factors of operationally defining, designing investigations, graphing and interpreting data, but not effective for identifying and stating hypothesis, identifying variables. Second, as a result of analyzing the pre-test and the post-test for finding out the effect of class offering the POE model on learner science academic achievement the class offering the POE model was shown effective for learner science academic achievement.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.241-254
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• 2000

The past decade has witnessed the abundant use of computer in testing language skills such as listening and reading. Compared with these language skills, we have experienced little use of computer in testing a speaking skill including pronunciation. This is largely due to limitations of the current computer technology. One of such limitations for testing pronunciation is to store and automatically evaluate what the learner utters. Due to this limitation, the computer simply stores what the learner utters and raters evaluate it afterward on a certain rating continuum. With the advent of voice recognition technology, however, the computer has been able to test pronunciation in a systematic way. This technology enables the computer to identify, visually show, and evaluate the learner's intonation pattern by means of autocorrection. The evaluation is expressed in terms of the degree in which the learner's intonation pattern overlaps with that of the native speaker of the target language. In particular, the degree is numerically displayed on the screen, and this numeral is considered as the score of the learner's utterance under our testing framework.

• Educational Technology International
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• v.19 no.1
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• pp.93-122
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• 2018

It is crucial to understand the characteristics of learner questioning due to the effects it has on learning. This study focuses on the effects of middle school students questioning on their academic achievement in an online inquiry learning environment. A survey of 827 middle school students was conducted; the students took part in an online math and science program offered by a center for the gifted. Throughout the survey, learner questioning was analyzed, and its correlation with academic achievement was investigated. An analysis was based on questioning categories of a low- and high-level questions from previous studies. Through the survey, it was found that the number of learner questions asked in the online environment was small, but the number of low- and high-level questions were almost equal. Secondly, the higher the academic achievement level of the student, the higher the possibility they would ask either low- or high-level questions. Lastly the group of students in both low- and high-levels of questioning earned the highest average scores on formative evaluations and inquiry tasks. This indicates that regardless of the level of questions, the act of questioning itself is highly related to the academic achievement. However, in the case of advanced learning projects, the quality of questioning and high-level questioning affected the academic achievement of students. Based on these results, implications for the encouragement of learner questioning and support for asking high-level question are suggested.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.160-163
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• 2006

If an instruction system understood the interest and activeness of a learner in real time, it could provide some interesting factors when a learner is tired of learning. It could work as an adaptive tutoring system to help a learner to understand something difficult to understand. Currently the area of the facial expression recognition mainly deals with the facial expression of adults focusing on anger, hatred, fear, sadness, surprising and gladness. These daily facial expressions couldn't be one of expressions of a learner in e-Learning. They should first study the facial expressions of a learner in e-Learning to recognize the feeling of a learner. Collecting as many expression pictures as possible, they should study the meaning of each expression. This study, as a prior research, analyzes the feelings of learners and facial expressions of learners in e-Learning in relation to the feelings to establish the facial expressions database.