• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.918-925
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• 2006

Recent development of teachable agent provides learners with active roles as knowledge constructors and focuses on the individualization. The aim of this adaptive agent is not only to maximize the learner's cognitive functions but also to enhance the interests and motivation to learn. In order to establish the relationships among user characteristics and response patterns and to extract the algorithm among variables, we measured the individual characteristics and analyzed logs of the teachable agent named KORI (KORea university Intelligent agent) through the student modeling. A correlation analysis was conducted to identify the relationships among individual characteristics, user responses, and learning outcomes. Among hundreds of possible relationships between numerous variables in three dimensions, nine key user responses were extracted, which were highly correlated with either individual characteristics and learning outcomes. The results suggest that certain type of learner responses or the combination of the responses would be useful indices to predict the learners' individual characteristics and ongoing learning outcome. This study proposed a new type of dynamic assessment for individual differences and ongoing cognitive/motivational learning outcomes through the computation of responses without measuring them directly. The construction of individualized student model based on the ongoing response pattern of the user that are highly correlated with the individual differences and learning outcome may be the useful methodology to understand the learner's dynamic change during learning.

• Korean Medical Education Review
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• v.17 no.3
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• pp.110-121
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• 2015

Competency-based medical education (CBME) is an outcome-oriented curriculum model for medical education that organizes learning activities and assessment methods according to defined competencies as the learning outcomes of a given curriculum. CBME emerged to address the accountability of medical education in response to growing concerns about the patient safety in North America in the 1970s, and the number of medical schools adopting CBME has dramatically increased since 1990. In Korea, CBME has been under consideration as an alternative curriculum model to reform medical education since 2006. The purpose of this paper is three-fold: (1) to review the literature on CBME to identify the challenges and benefits reported in North America, (2) to summarize the process and experiences of planning and implementing CBME at Inje University College of Medicine, and finally (3) to provide recommendations for Korean medical schools to be better prepared for the successful adoption of CBME. In conclusion, one of the key factors for successful CBME implementation in Korea is how well an individual school can modify the current curriculum and rearrange the existing resources in a way that will enhance students' competencies while maximizing the strengths of the school's existing curriculum.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.5
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• pp.161-168
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• 2020

Predicting outcome of the sports enables teams to establish their strategy by analyzing variables that affect overall game flow and wins and losses. Many studies have been conducted on the prediction of the outcome of sports events through statistical techniques and machine learning techniques. Predictive performance is the most important in a game prediction model. However, statistical and machine learning models show different optimal performance depending on the characteristics of the data used for learning. In this paper, we propose a new ensemble model to predict English Premier League soccer games using statistical models and the machine learning models which showed good performance in predicting the results of the soccer games and this model is possible to select a model that performs best when predicting the data even if the data are different. The proposed ensemble model predicts game results by learning the final prediction model with the game prediction results of each single model and the actual game results. Experimental results for the proposed model show higher performance than the single models.

• Korean Medical Education Review
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• v.18 no.2
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• pp.65-82
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• 2016

This study aimed to identify curriculum gaps and a pilot study to provide the programs for selection during clerkship. Over the course of a clerkship, students analyze the current level and the needs level of TLO (terminal learning objectives) based on the book "Learning outcome of basic medical education: Scientific concept and principle-centered." We conducted a needs assessment utilizing a t-test, Borich Needs Assessment, and the Locus for Focus model. In the investigation of the needs level, the levels of the musculoskeletal and respiratory systems were relatively high and in the investigation of the current level, the levels of the digestive and musculoskeletal systems were relatively high. This study is expected to contribute to reasonable decision-making by utilizing various methods of analysis and providing in-depth results of needs analysis in designing clerkship curriculum.

• Knowledge Management Research
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• v.15 no.4
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• pp.57-78
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• 2014

Since team performance has become one of the core factors for companies' success, companies are putting every effort to raise team productivity. In this vein, the purpose of this study was to examine the influence of team learning behavior upon team dynamic capabilities, team effectiveness, and to verify the mediating effect of team dynamic capabilities in corporations. 312 employees were randomly selected to participate in an questionnaire survey. The result has shown that the static correlation exists between team learning behavior, team dynamic capabilities, and team effectiveness. Team dynamic capabilities mediated the relationship between team learning behavior and team effectiveness. Based on the findings, the study implies that learning behaviors among team members should be supported in order to improve its outcome, and HR representatives must help to develop dynamic capabilities.

• Journal of the Korean Institute of Educational Facilities
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• v.18 no.6
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• pp.15-23
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• 2011

There are growing concerns about designing classroom or school environments influencing teaching and learning activities. However, there are little research on how students perceive the physical characteristic of the classroom and whether physical factors of classroom affects students' learning. The purpose of this study aims to reveal the different perception of college students on their classroom environments depending on where they take class, traditional classroom or newly constructed classroom. Also, the study demonstrates how the difference of classroom environment affects students' learning outcome. The results of this study suggests that classroom should be designed considering the perceptions of the students and their teaching and learning activities.

• English Language & Literature Teaching
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• v.9 no.1
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• pp.1-21
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• 2003

Learner-centered approach has been a recent research focus in the second language acquisition, but few studies have dealt with how to develop learner autonomy, particularly in a computer-assisted language learning environment. The paper first illustrates the importance of promoting learner autonomy in the EFL context and elaborates the three main factors contributing to its development. Then it focuses on how the CALL research project promotes autonomous learning through a small-scale study in Gyeongju University. Both quantitative and qualitative methods have been employed to examine whether in the CALL project learners exercise control over their own learning and evaluate the outcome. The results indicate that due to a flexible syllabus, highly motivating research topics and the network-assisted environment, learners do take responsibility for most aspects of learning and thus the CALL project proves to be a promising approach for autonomous learning.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.588-592
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• 2015

Many studies have affirmed a negative influence of fragmentation on learning and knowledge sharing in construction projects. However, the literature overlooked enablers of learning within this context. The purpose of this paper is to explore the factors that facilitate project learning and ways to negate any unbecoming effects of fragmentation. Qualitative study used to explore the enablers through interviews administered to 11 top management individuals working in different construction projects in Malaysia. The findings revealed the following factors: participation, relationships, togetherness, and roles of project leader and coordinator. The role of boundary objects was also highlighted including information technology (IT), contract and procedures, drawings, specifications, and reports. The outcome of this paper initiates the development of a model for better knowledge creation and sharing in construction projects. The significance of this model stems from its ability to connection both the characteristics of construction project and project learning theories using the enablers. It is envisaged that future work will be to confirm the model in a quantitative study.

• Educational Technology International
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• v.9 no.2
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• pp.1-15
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• 2008

One of the challenges that online learners face is feeling of isolation and diminishing desire of maintaining active participation during e-learning. Social presence, that is considered to be a vital factor in e-learning, is recently started to receive a support from the field. Although research indicated a significant role of social presence in both learning process and learning outcome, there is no widely accepted measurement scale of social presence. This study, therefore, developed a new scale to measure social presence based on the existing theories and validated it against 723 participants. Nineteen self-report items with three dimensions, co-presence, influence, and cohesiveness, were identified and validated using Exploratory Factor Analysis (EFA) in a preliminary and a follow-up study.

• Knowledge Management Research
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• v.9 no.4
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• pp.1-16
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• 2008

The purpose of the present study is to explain the effects of academic self-efficacy, self-regulated learning and online task value on academic achievement and learning transfer in corporate cyber education. 202 students who completed S corporate's cyber courses in 2007 and responded to all survey participated in this study. A hypothetical model was proposed, which was composed of academic self-efficacy, online task value and self-regulated learning factors as prediction variables, and learning transfer as well as academic achievement factors as outcome variables. The results of this study through regression analysis as follows. First, learners' academic self-efficacy, self-regulated learning and online task value predict learners' academic achievement significantly. Second, except for academic self-efficacy, learners' self-regulated learning and online task value predict on learners' learning transfer significantly. Third, academic achievement plays a role as mediating value in predicting academic achievement by online task. It implies that learners' academic self-efficacy, online task value and self-regulated learning which predict learners' academic achievement and learning transfer should be considered in developing strategies for the design and operation of cyber courses.