• Journal of Engineering Education Research
• /
• v.11 no.2
• /
• pp.15-24
• /
• 2008

Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.

• Korean Medical Education Review
• /
• v.23 no.3
• /
• pp.194-203
• /
• 2021

Learning communities in medical education have demonstrated favorable outcomes in terms of students' learning, professional development, and wellness. Despite these strengths and the widespread adoption of learning communities in US medical schools, there has been little interest in medical learning communities in Korea. In this context, the present study examined the development and implementation of the Yonsei Medical Learning Community (YMLC) and analyzed its outcomes and areas of improvement. The Yonsei University College of Medicine has operated a learning community as part of the undergraduate medical education curriculum since 2014. The YMLC is the first program of its type in Korea. The overall structure of the YMLC consists of four distinct communities (pillars), which are named after four distinguished alumni, and each pillar is organized into five learning community classes. Each class is vertically integrated across students in different medical school years, and one faculty advisor is matched to about 30 students. As the YMLC focuses on fostering reflective practice in students and providing them with opportunities to build teamwork and experience social relatedness, two educational approaches have been adopted: reflective writing and mentoring and community activities. In this study, we obtained and analyzed second-year students' feedback on the YMLC curriculum and identified its achievements, merits, and areas that need improvement. The results have shown that over 75% and 60% of respondents reported satisfaction with reflective writing and mentoring and community activities, respectively. The educational activities of the learning community helped students regularly reflect on their learning and progress and establish close relationships with faculty advisors. However, several areas of improvement regarding content, format, and logistical issues were also identified. The present findings may provide valuable information for other institutions to develop learning communities relevant to their own context.

• Asia pacific journal of information systems
• /
• v.34 no.1
• /
• pp.209-225
• /
• 2024

This research aims to use machine learning technology in human resource management to predict employees' work-life balance. The study utilized a dataset from IBM Watson Analytics in the IBM Community for the machine learning analysis. Multinomial dependent variables concerning workers' work-life balance were examined, categorized into continuous and categorical types using the Generalized Linear Model. The complexity of assessing variable roles and their varied impact based on the type of model used was highlighted. The study's outcomes are academically and practically relevant, showcasing how machine learning can offer further understanding of psychological variables like work-life balance through analyzing employee profiles.

• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.524-534
• /
• 2019

This study was to analyze the students' engagement in regular curriculum and extra-curriculum and its effects on learning outcomes in higher education. Students' engagement was analysed by high order learning, reflective and integrative learning, learning strategies, collaborative learning, discussions with diverse others, and high impact activities. To achieve the purpose of this study, 392 students joined in K-NSSE were participated. To analyze the datum, frequency analysis, ANOVA, correlation analysis, and regression analysis were performed using IBM SPSS 25.0 program. The following results were obtained. First, students' engagement was generally very low, especially in high impact activities which has an effect on the students' achievement. And compared to the students' engagement in the college of humanity and social science, the students' engagement in engineering college were very low. Learning outcomes were influenced by the high impact activities, high-order learning, and discussions with diverse others. So to reinforce students' engagement in learning process, this study proposed a curriculum-extracurriculum integrated system. And to improvement students' engagement, teaching and learning support programs including high impact activities. high order learning, and discussions with diverse others were proposed to be developed and operated.

• The Journal of the Korea Contents Association
• /
• v.20 no.6
• /
• pp.695-704
• /
• 2020

Recently, There has been an increasing of utilization IT, and studies have been conducted on predicting learning results. In this study, Learning activity data were collected that could affect learning outcomes by using learning analysis. The survey was conducted at a university in South Chung-Cheong Province from October to December 2018, with 1,062 students taking part in the survey. First, A Hierarchical regression analysis was conducted by organizing a model of individual, academic, and behavioral factors for learning results to ensure the validity of predictors in machine learning. The model of hierarchical regression was significant, and the explanatory power (R²) was shown to increase step by step, so the variables injected were appropriate. In addition, The linear regression analysis method of machine learning was used to determine how predictable learning outcomes are, and its error rate was collected at about 8.4%.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.13
• /
• pp.5395-5399
• /
• 2014

Purpose: This study was designed to evaluate the outcomes of laparoscopic colorectal resection in a period of learning curve completed by surgeons with different experience and aptitudes with a view to making clear whether seniors had a better learning curve compared with juniors. Methods: From May 2010 to August 2012, the first twenty patients underwent laparoscopic colorectal resection completed by each surgeon were selected for analysis retrospectively. A total of 240 patients treated by 5 seniors and 7 juniors were divided into the senior group (n=100) and the junior group (n=140). The short-term outcomes of laparoscopic surgery of the two groups were compared. Results: The mean numbers of lymph nodes harvested were $21.2{\pm}11.0$ in the senior group and $17.3{\pm}11.5$ in the junior group (p=0.010); The mean operative times were $187.9{\pm}60.0min$ as compared to $231.3{\pm}55.7min$ (p=0.006), and blood loss values were $177.0{\pm}100.7ml$ and $234.0{\pm}185ml$, respectively (p=0.001); Conversion rate in the senior group was obviously lower than in the junior group (10.0% vs 20.7%, p=0.027) and the mean time to passing of first flatus were $3.3{\pm}0.9$ and $3.8{\pm}0.9$ days (p=0.001). For low rectal cancer, the sphincter preserving rates were 68.7% and 35.3% (p=0.027). Conclusions: Seniors could perform laparoscopic colorectal resection with relatively better oncological outcomes and quicker recovery, and seniors could master the laparoscopic skill more easily and quickly. Seniors had a better learning curve for laparoscopic colorectal cancer resection compared to juniors.

• Journal of The Korean Association of Information Education
• /
• v.20 no.5
• /
• pp.475-486
• /
• 2016

As software transforms the structure of industry, it becomes a key measure in determining market competitiveness. Therefore, various educational efforts have been attempted in Korea to cultivate software professionals to secure software competitiveness. While previous studies had focused mainly on the cognitive effectiveness of software education, the authors tried to focus on affective perspectives. The authors, therefore, aimed to analyze the predictive power of the recognition of software importance and learning flow on affective outcomes, such as efficacy of computational thinking skills, and attitude toward, and satisfaction with, software education. The data were collected from 103 sixth grade students who participated in a software education. Results show that software importance and learning flow had significant predictive power on affective outcomes; Learning flow mediated the relationship between software importance and affective outcomes. This study provides practical implications for improving affective outcomes in the design and implementation of software education.

• Child Health Nursing Research
• /
• v.12 no.1
• /
• pp.5-14
• /
• 2006

Purpose: The purpose of study was to describe and evaluate the educational status regarding clinical practicum for child health nursing to facilitate student's clinical compliance for the bachelor's degree in Korea. Methods: The study was a descriptive study and included data from 40 institutions among the 53 university nursing programs in Korea(75.5% response rate). Data were collected using mailed semi structured questionnaires and content analysis was done. Results: Findings show that most institutions have common learning objectives for the clinical practicum; neonatal care, high risk infant care, hospitalized child care, and advanced nursing practice. The mode for theoretical credits in child health nursing was 5 to 6 and 3 to 4 credits for clinical practice. The practice settings were prepared to provide diverse experiences, including childcare centers, and community centers with various learning activities. Evaluation for learning outcomes included faculty and instructors. It was pointed out that updating evaluation based on student and faculty feedback is important for a comprehensive practicum evaluation. Conclusions: Findings suggest that there is a -need for a generalized curriculum for clinical practicum and for the expanding role of advanced nursing practice-, a need for diverse clinical settings for practice, and effective guidance and learning activities. It is significantly noted that the attitude and teaching methodologies of clinical instructor's are highly important to effective clinical learning outcomes.

• Journal of Korean Academy of Nursing
• /
• v.49 no.1
• /
• pp.92-103
• /
• 2019

Purpose: This study aimed to compare the effects of simulation integrated with problem based learning (S-PBL) according to the sequences of problem-based learning (PBL) and high fidelity simulation training (HFS) on knowledge, clinical performance, clinical judgment, self-confidence, and satisfaction in fourth-grade nursing students. Methods: In this randomized crossover design study, four S-PBLs on medical-surgical nursing were applied alternatively to two randomly-assigned groups of 26 senior nursing students for 8 weeks. The collected data were analyzed using an independent t-test. Results: The method of administering PBL prior to HFS led to significantly higher scores on knowledge (t=2.28, p=.025) as compared to the method of administering HFS prior to PBL. However, the latter method led to significantly higher scores on clinical performance (t=-6.49, p<.001) and clinical judgment (t=-4.71, p<.001) as compared to the method of administering PBL prior to HFS. There were no differences in the effect of the two methods on self-confidence (t=1.53, p=.128) and satisfaction (t=1.28, p=.202). Conclusion: The integration sequences of S-PBL was associated with different learning outcomes. Therefore, when implementing S-PBL, it is necessary to consider the educational goal to executes an appropriate sequence of integration.

• Educational Technology International
• /
• v.13 no.1
• /
• pp.145-173
• /
• 2012

The purpose of this study is to develop collaboration scripts as an instructional means to facilitate argumentation in computer-supported collaborative learning, and to analyze their effects. To develop collaboration scripts for argumentation, researchers used activity theory as a conceptual framework and refined the design principles by design-based research. Using LAMS, collaboration scripts for argumentation were developed based on the ArgueGraph. To examine their effects, 72 participants were divided into two groups by internal scripts and randomly allocated to one of three external scripts. Applying mixed methods, researchers analyzed argumentation competence related to the cognitive aspect, examined self-efficacy related to the motivational aspect, and identified the factors influencing collaborative learning processes and outcomes. Researchers found that the internal script is a critical factor to determine the dimensions, degrees, and duration of improvement in argumentation competence. That is, learners with higher internal scripts improved highly in the quality of single arguments, while learners with lower internal scripts improved continuously in the quality of argumentation sequences. The effects of the external scripts varied with the internal script levels and supporting periods. Besides, collaboration scripts for argumentation had positive effects on learners' self-efficacy, and learners with higher internal scripts had better self-efficacy. The factors influencing collaborative learning processes and outcomes showed different results depending on the learning context. Therefore, when scripting learner's interaction in CSCL, researchers should design the scripts adaptable to a natural context of activities.