• Korean Medical Education Review
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• v.23 no.2
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• pp.104-107
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• 2021

Building professional identity is the most basic purpose of medical education. Students who enter medical schools do not have an identity rooted in the medical profession, and universities should therefore take steps to help students form their identity as doctors, attitudes, beliefs, and values through the curriculum. However, while medical knowledge and clinical skills are fully reflected in basic medical education, issues persist regarding education on values, attitudes, and beliefs that are important for professional identity. Regarding the process of professional identity formation, it is important to keep in mind that rapid changes in modern society lead to corresponding changes in socio-cultural expectations and demands related to professional identity, resulting in discrepancies between the reality of medical education and the actual field of medicine. Medical schools need to prepare students for these discrepancies, and in-depth discussions should address what is important and what should be solved first at medical education sites. However, it is difficult to generalize the tasks of professional identity formation in the field of medical education because each medical school may have unique circumstances. This article discusses the tasks that medical education should solve for professional identity formation education in terms of five aspects: establishing learning outcomes, training educational experts, introducing transformative learning, utilizing self-directed learning, and developing evaluation methods.

• Research in Mathematical Education
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• v.26 no.4
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• pp.333-349
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• 2023

Recently, AI has become a crucial tool in mathematics education due to advances in machine learning and deep learning. Considering the importance of AI, examining teachers' beliefs about AI in mathematics education (AIME) is crucial, as these beliefs affect their instruction and student learning experiences. The present study developed a scale to measure preservice teachers' (PST) beliefs about AIME through factor analysis and rigorous reliability and validity analyses. The study analyzed 202 PST's data and developed a scale comprising three factors and 11 items. The first factor gauges PSTs' beliefs regarding their roles in using AI for mathematics education (4 items), the second factor assesses PSTs' beliefs about using AI for mathematics teaching (3 items), and the third factor explores PSTs' beliefs about AI for mathematics learning (4 items). Moreover, the outcomes of confirmatory factor analysis affirm that the three-factor model outperforms other models (a one-factor or a two-factor model). These findings are in line with previous scales examining mathematics teacher beliefs, reinforcing the notion that such beliefs are multifaceted and developed through diverse experiences. Descriptive analysis reveals that overall PSTs exhibit positive beliefs about AIME. However, they show relatively lower levels of beliefs about their roles in using AI for mathematics education. Practical and theoretical implications are discussed.

• Asia Pacific Journal of Corpus Research
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• v.4 no.2
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• pp.41-55
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• 2023

In data-driven learning (DDL), learners explore a corpus to understand vocabulary and grammar. Although many studies have emphasized the role of DDL in second language (L2) acquisition, L2 light verbs have been largely under-explored. To bridge this gap, this study focused on the learning outcomes of L2 light verbs among 29 intermediate-level Japanese university students. The research zeroed in on six prevalent light verbs in English: "make," "do," "take," "have," "give," and "get." Over nine weeks, the participants engaged with verb-noun collocations using worksheets that juxtaposed Japanese translations of the target collocations with their English equivalents, with the verbs omitted. With the aid of Wordbanks Online, they filled in the blanks and constructed accurate sentences. Before this activity, a 20-minute tutorial was given to the participants on how to interpret the concordance lines. The effectiveness of the DDL method was evaluated using pre-tests, immediate post-tests, and delayed post-tests. The results showed that DDL significantly improved the participants' knowledge of the target collocations of light verbs and nouns; the post-test and delayed post-test scores were significantly higher than the pre-test scores. The results showed that, overall, DDL contributed to memorizing the collocations of light verbs and nouns; however, DDL had different effects on the memorization of collocations across different light verbs. The extent of work on the worksheet is not the only factor in its retention, and observing concordance lines may promote learners' memorization of light-verb collocations.

• Journal of Korean Association for Spatial Structures
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• v.23 no.4
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• pp.81-88
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• 2023

Numerous factors contribute to the deterioration of reinforced concrete structures. Elevated temperatures significantly alter the composition of the concrete ingredients, consequently diminishing the concrete's strength properties. With the escalation of global CO2 levels, the carbonation of concrete structures has emerged as a critical challenge, substantially affecting concrete durability research. Assessing and predicting concrete degradation due to thermal effects and carbonation are crucial yet intricate tasks. To address this, multiple prediction models for concrete carbonation and compressive strength under thermal impact have been developed. This study employs seven machine learning algorithms-specifically, multiple linear regression, decision trees, random forest, support vector machines, k-nearest neighbors, artificial neural networks, and extreme gradient boosting algorithms-to formulate predictive models for concrete carbonation and thermal impact. Two distinct datasets, derived from reported experimental studies, were utilized for training these predictive models. Performance evaluation relied on metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analytical outcomes demonstrate that neural networks and extreme gradient boosting algorithms outshine the remaining five machine learning approaches, showcasing outstanding predictive performance for concrete carbonation and thermal effect modeling.

• Journal of The Korean Association For Science Education
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• v.28 no.8
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• pp.786-795
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• 2008

The purpose of this research is to propose a program for teaching and learning effective problem-solving for gifted students based on abductive inference. The role of abductive inference is important for scientific discoveries and creative inferences in problem-solving processes. The characteristics of creativity and abductive inference were investigated, and the following were discussed: (a) a suggestion for a new program based on abductive inference for creative outcomes, this program largely consists of two phases: generative hypotheses and confirmative hypotheses, (b) a survey of the validity of a program. It is typical that hypotheses are confirmed in phases through experiments based on hypothetic deductive methodology. However, because generative hypotheses of this hypothetic deductive methodology are not manifest, we maintained that abductive inference strategies must be used in a Creative Teaching-learning Program for gifted science students.

• Journal of Korean Academy of Nursing
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• v.45 no.6
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• pp.939-948
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• 2015

Purpose: An emerging trend in Asian higher education is English-medium instruction (EMI), which uses English as the primary instructional language. EMI prepares domestic students for international leadership; however, students report difficulty in learning, and educators have raised questions concerning the effectiveness of EMI. The flipped learning model (FLM), in which lecture and homework activities for a course are reversed, was applied to an English-medium course offered by a college of nursing in Korea. The aims of this study were to: 1) revise an existing English-medium nursing course using the FLM; 2) explore students' learning experiences and their acceptance of the FLM; and 3) identify key factors in the success of FLM. Methods: We used a descriptive, cross-sectional, mixed-methods design and the participants were students at one nursing school in Korea. A series of course development meetings with faculties from the nursing school and the center for teaching and learning were used to develop the course format and content. We conducted course evaluations using the Flipped Course Evaluation Questionnaire with open-ended questions and focus group interviews. Results: Students (N=75) in a 15-week nursing course responded to a survey after completing the course. Among them, seven students participated in one of two focus groups. Overall, students accepted and favored the flipped learning strategy, and indicated that the method enhanced lecture content and their understanding of it. Factors associated with effective instruction included structured monitoring systems and motivational environments. Conclusion: The FLM requires sufficient preparation to facilitate student motivation and maximize learning outcomes.

• Information Systems Review
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• v.5 no.1
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• pp.33-48
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• 2003

The increasing demand for the distance learning has created a need to explore the implications of the emerging paradigm shift in the learning environment. For the use of information technology to improve learning processes, the pedagogical assumptions underlying the design of information technology for educational purposes must be understood. However, little theoretical development or empirical research has examined learning effectiveness in web-based distance learning. Thus, this paper reviews from research in management communications, education, social psychology, and information systems literatures to develop an conceptual model of influences on web-based corporate education outcomes. The hypotheses empirically examined using survey data from 152 students of 'L' company. The data support the validity and reliability of our constructs. And the hypotheses of this study get partially significant support. Finally, the implications of this survey results are discussed in terms of learning performance.

• Archives of design research
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• v.16 no.4
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• pp.443-452
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• 2003

This study is to find out the possibility of applying the Blended Learning which combines the advantage of face-to-face classroom instruction and e-Learning to design education. This Blended Loaming Model has five steps such as 'prepare, teach, show, interact, and collaborate'. It is designed by the learning decision points (performance outcomes, content stability and structure, audience size, and so on) and the characteristics of delivery methods(asynchronous, synchronous). This research is based on the learners' satisfaction data of each step. The number of the participants is 27 and a questionnaire with 21 items is administered. Ten items of them are designed with 5-point Likert scales and the rest of them ask learners describe the reason of their selection. The result show that learners are satisfied with the blended learning than the off-line classroom. It is expected that the blended learning can be a substitute of the off-line classroom for the effectiveness of design education.

• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.624-633
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• 2007

Purpose: This study was conducted to develop an integrated undergraduate course including a PBL based on a blended learning strategy, and evaluate learners' responses. Methods: The learning contents of cardiovascular, respiratory, and musculoskeletal medical systems, and nursing diagnoses of 'activity and rest' domain (NANADA's classification II, 2005) were analyzed. Six clinical scenarios with the clients in different life cycles were developed for PBL. Classical lecture and group presentation with on-line self learning were implemented in addition to PBL. The developed course was implemented on 84 junior nursing students in a university for 7 weeks with 5 hours per day, two days per week. Students were asked to complete structured questionnaires including problem solving, critical thinking, and nursing diagnosis differentiation abilities. Results: Learner's evaluation was positive in problem solving skills and in the differentiation ability of nursing diagnoses relevant to an 'activity and rest' functional health pattern. Conclusion: Development and implementation of integrated courses based on a blended learning method need to be continued to enhance students' thinking and self-directed learning abilities. Supporting strategies for individual learners should be added for successful blended learning such as individual on-line feedback and consideration of individual learning outcomes.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.57-66
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• 2004

The purpose of this study is to determine the relationship among the hypermedia structure(hierarchical and network), learner's cognitive style(field-independent and field-dependent), and learning performance in the elementary school. 128 students(4th graders) having field-independent and field-dependent cognitive style were randomly allocated into hierarchical and network structures of hypermedia learning program. There was not significant interaction between hypermedia structure and cognitive style in learning performance. The students in the hierarchical hypermedia structure showed higher learning performance than ones in the network hypermedia structure. Field-independent students significantly got higher results than field-dependent ones. It is concluded that instructional designers should consider hypermedia structure, learner's cognitive style, and learning outcomes when they plan and design hypermedia learning program.