• Journal of the Korean Society of Earth Science Education
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• v.10 no.3
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• pp.262-277
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• 2017

Digital textbooks enable learning that is appropriate to the characteristics and level of learners through various interactions. The purpose of this study was to develop an instruction model that can more effectively use digital textbooks in elementary science classes and to verify its effectiveness. The results were as follows. The instruction model for helping learners complete their learning by using digital textbooks needs to receive diagnostic assessment and feedback on entry behavior, to build a self-directed learning environment, and to interact with teachers, students, and digital textbooks as scaffolding. In this study, we developed an instruction model using digital textbooks reflecting these characteristic. The instructional model consists of preparation, practice and solidity step. In the preparation step, the learner performs a diagnostic evaluation using digital textbooks. Based on the results, feedback provided at each level can complement the entry behavior and maintain interest in learning activities. In the practice step, self-directed learning is implemented using diverse functions of digital textbooks and various types of data. In the solidity step, learners can internalize the learning contents by reviewing video clips which are provided by teachers, performing problem-solving activities, and accessing outcomes accumulated by learners in the community online. In order to verify the effectiveness of this model, we selected the "Weather and our Life" unit. This experiment was conducted using 101 students in the 5th grade in B Elementary School in Gwangju Metropolitan City. In the experimental group, 50 students learned using a smart device that embodies digital textbooks applied with the instruction model. In the comparative group, 51 students were taught using the paper textbooks. The results were as follows. First, there was a significant effect on the improvement of the learning achievement in the experimental group with low academic ability compared with the comparative group with low academic ability. Second, there was a significant effect on self-directed learning attitude in the experimental group. Third, in the experimental group, the number of interactions with the learner, teacher, and digital textbook was higher than the comparative group. In conclusion, the digital textbooks based on the instruction model in elementary science classes developed in this study helped to improve learners' learning achievement and self-directed learning attitudes.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.201-220
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• 2022

This study suggests a theoretical model of information literacy instructions in the context of the Extended Essay included in IB(International Baccalaureate) Diploma Program Core. The study particularly analyzed I-LEARN model as a model to teach and learn with information for inquiry-based learning since the model was developed for the purpose of learning with information. Some school districts in Korea adapted IB programs to address the need for better education. Findings indicate the followings. First, students can achieve deep understanding by applying a model of information literacy instructions that provides scaffolding. Second, the expected roles of school librarians in information literacy instructions for Extended Essay are process specialists, teachers, and instructional partners. Third, I-LEARN model is appropriate as a framework to teach information literacy skills for inquiry needed for Extended Essay. Fourth, I-LEARN assessment rubric is useful in assessing the process and outcomes of students' information seeking and use. Implications include that school librarians should develop themselves as experts in information literacy instructions for inquiry-based learning such as Extended Essay, and that Korean schools recognize the crucial role of school librarians in teaching information literacy skills for inquiry-based learinng.

• World Technopolis Review
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• v.4 no.1
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• pp.23-32
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• 2015

Public-private partnerships (PPPs) are very popular governance practices, as they enable the private partner to engage in business and have profits while the public partner improves the provision of public services. PPPs are organizational arrangements with a sector-crossing or sector-blurring nature, and are modes of governance - governance by partnerships or collaborative governance (Schuppert 2011). New models and applications of PPPs have been developed over time. Collaborative governance entails information exchange, action or movement harmonization, resource sharing, and capacity enhancement among the partners (Sale 2011; 2012a). As the national university, the University of the Philippines (UP) serves as a research university in various fields of expertise and specialization by conducting basic and applied research and development, and promoting research in various colleges and universities, and contributing to the dissemination and application of knowledge, among other purposes. (Republic Act 9500) It is the site of two (2) science and technology parks (Sale 2012b), one of which is the UP - Ayala Land Technohub. A collaboration between industry and the academe, the Technohub is envisioned as an integrated community of science and technology companies building a dynamic learning and entrepreneurial laboratory (UP-AyalaLand Technohub). This paper takes a closer look at the UP - Ayala Land Technohub as an example of a PPP or collaborative governance in science and technology parks. Have information exchange, action or movement harmonization, resource sharing, and capacity enhancement taken place in the Technohub? What are some significant outcomes of, and issues arising from, the PPP? What assessment indicators may be used? Is a governance instrument needed?

• 대한공업교육학회지
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• v.30 no.2
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• pp.82-103
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• 2005

The purpose of this study was to develop and present the accreditation criteria for engineering technology education programs in junior colleges. Research methods used in this study were review of related literature, experts discussion, and Delphi technique. Especially, Delphi technique was the major research method of this study. The Delphi surveys were taken for about seven weeks and three rounds at a higher level of expert participation. Major results of the study were as follows: 1. It proved that thirty six of total forty items had the content validity as the accreditation criteria of engineering technology education programs for junior colleges. CVR(Content Validity Ratio) of four items were below .33 and eliminated four items from the final accreditation criteria. 2. It proved that total Cronbach ${\alpha}$ was very high .9142 and reliability was very high all over items. It proved that six items made worse reliability, therefore it was desirable to exclude six items for increase of reliability. But the final accreditation criteria included six items, because they had a high validity as well as increasing rate of Cronbach ${\alpha}$ was very low with the exception of them. 3. Items of high importance were drawn out through analysis of importance. It proved that thirty of total forty items were more than 4.00 average in importance and ten items were less than average. 4. In conclusion, the final accreditation criteria were developed and presented through such analysis of validity, reliability and importance. The final accreditation criteria for engineering technology education programs in junior colleges were composed of seven domains of educational objectives, learning outcomes, curriculum, staff, facilities, institutional support, and student assessment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.518-525
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• 2016

This study examined the relationships and characteristics between generic skills and individual variables. The data from 187 students at a Korean university that participated in the Assessment of Higher Education Learning Outcomes (AHELO) feasibility study were utilized. The results indicated that there were no differences in generic skills according to gender, age, and grade point average (GPA). The field of study was the only variable showing a statistically significant difference in generic skills among the three groups. As a result of cluster analysis, four groups were formed based on the characteristics of generic skills. No differences in generic skills were observed among the four groups according to gender, age, and field of study. On the other hand, there was a statistically significant difference in generic skills among the four groups according to the GPA.

• Smart Structures and Systems
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• v.29 no.1
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.67-77
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• 2022

An automatic freeway bus-only lane enforcement system was developed and assessed in a real-world environment. Observation of a bus-only lane on the Youngdong freeway, South Korea, revealed that approximately 99% of the vehicles violated the high-occupancy vehicle (HOV) lane regulation. However, the current enforcement by the police not only exhibits a low enforcement rate, but also induces unnecessary safety and delay concerns. Since vehicles with six passengers or higher are permitted to enter freeway bus-only lanes, identifying the number of passengers in a vehicle is a core technology required for a freeway bus-only lane enforcement system. To that end, infrared cameras and the You Only Look Once (YOLOv5) deep learning algorithm were utilized. For assessment of the performance of the developed system, two environments, including a controlled test-bed and a real-world freeway, were used. As a result, the performances under the test-bed and the real-world environments exhibited 7% and 8% errors, respectively, indicating satisfactory outcomes. The developed system would contribute to an efficient freeway bus-only lane operations as well as eliminate safety and delay concerns caused by the current manual enforcement procedures.

• Geomechanics and Engineering
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• v.30 no.6
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• pp.489-502
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• 2022

In this study, a Gaussian process regression (GPR) model as well as six GPR-based metaheuristic optimization models, including GPR-PSO, GPR-GWO, GPR-MVO, GPR-MFO, GPR-SCA, and GPR-SSO, were developed to predict fly-rock distance in the blasting operation of open pit mines. These models included GPR-SCA, GPR-SSO, GPR-MVO, and GPR. In the models that were obtained from the Soungun copper mine in Iran, a total of 300 datasets were used. These datasets included six input parameters and one output parameter (fly-rock). In order to conduct the assessment of the prediction outcomes, many statistical evaluation indices were used. In the end, it was determined that the performance prediction of the ML models to predict the fly-rock from high to low is GPR-PSO, GPR-GWO, GPR-MVO, GPR-MFO, GPR-SCA, GPR-SSO, and GPR with ranking scores of 66, 60, 54, 46, 43, 38, and 30 (for 5-fold method), respectively. These scores correspond in conclusion, the GPR-PSO model generated the most accurate findings, hence it was suggested that this model be used to forecast the fly-rock. In addition, the mutual information test, also known as MIT, was used in order to investigate the influence that each input parameter had on the fly-rock. In the end, it was determined that the stemming (T) parameter was the most effective of all the parameters on the fly-rock.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.850-861
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• 2014

The purpose of this review was to evaluate the effects of simulation-based education on clinical competence and confidence in nursing students and summarize the available evidence on the simulation-based intervention. A systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was conducted. Studies published between 2005 and 2014 were reviewed using the following databases: RISS, KISS, and Google Scholar. The keywords used were nursing and either simulation or simulator. Selected studies were assessed for methodological quality using Quality Assessment Tool for Quantitative Studies. Seventeen studies were identified, including a total of 1,912 nursing students. All the 16 studies found simulation as a valid strategy on clinical competence and confidence in nursing education. This review provides updated evidence for simulation-based learning in nursing education. Further studies are needed to increase generalizability using randomized controlled trials, enough sample size, and longitudinal study design. In addition, valid measurements are needed to assess the main outcomes.

• Journal of Hospice and Palliative Care
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• v.22 no.4
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• pp.207-218
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• 2019

Purpose: Physician competency in end-of-life (EOL) care is becoming increasingly important. This study investigated the EOL care curricula in Korean medical schools. Methods: Questionnaires were issued to the faculty members responsible for the EOL care curricula at each of the medical schools. These included questions on the structure and content of the curricula, teaching methods, and faculty members' attitudes to the curricula. Results: Characteristics of the EOL care curricula were compiled from 27 (66%) of the 41 medical schools. All of the medical schools taught essential aspects of the EOL care curriculum either as a separate course or embedded within other medical education courses. The mean time spent on EOL care teaching was 10 hrs (range, 2~32 hrs). The most frequently taught topics were delivering bad news (100%) and symptom management (74%). When the palliative care education assessment tool (PEAT) was used to evaluate the curricula, a median of 11 PEAT objectives was met (range, 2~26; maximum, 83). More than two teaching methods were used in most of the curricula. However, lectures were the only teaching method used by three medical schools. 78% of faculty members who were responsible for curriculum reported dissatisfaction with it, whereas 18% believed that the time allotted to it was adequate. Only 7% of these faculty members believed that their students were adequately prepared to practice EOL care. Conclusion: There is a need to improve EOL care education in basic medical curricula and to take a more systematic approach to achieving learning outcomes.