• Title/Summary/Keyword: University learning outcome

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An Analysis of Students' Communication in Lessons for the Geometric Similarity Using AlgeoMath (알지오매스를 활용한 도형의 닮음 수업에서 학생들의 의사소통 분석)

  • Kim, Yeonha;Shin, Bomi
    • Journal of the Korean School Mathematics Society
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    • v.26 no.2
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    • pp.111-135
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    • 2023
  • This study conducted a student-centered inquiry lesson on the similarity of figures using AlgeoMath, with student learning aspects analyzed from a communication perspective. This approach aimed to inform pedagogical implications related to teaching geometric similarity. Through utilizing AlgeoMath, students were able to visually confirm that their chosen figures were similar, experiencing key mathematical concepts such as the ratio of similarity to the area of similar figures, and congruency and similarity conditions of triangles. In the lessons applying this concept, we categorized the features of similarity learning displayed by students, as seen in the communication aspects of their exploratory activities, into 'Understanding similarity ratios', 'Grasping conditions of similarity in triangles', and 'Comparing concepts of congruency and similarity'. Through exploratory activities based on AlgeoMath, students discussed the meaning and mathematical relationships of key concepts related to similarity, such as the ratio of similarity to the area of figures, and the meaning and conditions of congruence and similarity in triangles. By improving misconceptions about the similarity of figures, they were able to develop deeper mathematical understanding. This study revealed that in teaching and learning the geometric similarity using AlgeoMath, obtaining meaningful pedagogical outcome was not solely due to the features of the AlgeoMath environment, but also largely depended on the teacher's guidance and intervention that stimulated students' thinking.

Applying the Fuzzy Decision-Making Method for Program Evaluation and Management Policy of Vietnamese Higher Education

  • TONG, Kiet Hao;NGUYEN, Quyen Le Hoang Thuy To;NGUYEN, Tuyen Thi Mong;NGUYEN, Phong Thanh;VU, Ngoc Bich
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.719-726
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    • 2020
  • Education policy is a dynamic process featuring social development trends. The world countries have focused their education program on empowering the learners for future life and work. This paper aims to assess the higher education curriculum based on a survey of 280 students, employers, alumni, and lecturers in both social sciences and natural sciences in Ho Chi Minh City, Vietnam. The fuzzy decision-making method, namely the Fuzzy Extent Analysis Method (F-EAM), was applied to measure the relative weight of each parameter. Seven factors under the curriculum development have been put in the ranking. Input with emphasis on foreign language was the highest priority in curriculum development, given the expected demand of the labor market. Objective and learning outcome and teaching activities ranked second and third, respectively. The traditional triangle of teaching content, methodology, and evaluation and assessment are still proven their roles, but certain modifications have been defined in the advanced curriculum. Teaching facilities had the least weight among the seven dimensions of curriculum development. The findings are helpful for education managers to efficiently allocate scarce resources to reform the curriculum to bridge the undergraduate quality gap between labor supply and demand, meeting the dynamic trends of social development.

An Analytic Framework to Assess Organizational Resilience

  • Patriarca, Riccardo;Di Gravio, Giulio;Costantino, Francesco;Falegnami, Andrea;Bilotta, Federico
    • Safety and Health at Work
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    • v.9 no.3
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    • pp.265-276
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    • 2018
  • Background: Resilience engineering is a paradigm for safety management that focuses on coping with complexity to achieve success, even considering several conflicting goals. Modern sociotechnical systems have to be resilient to comply with the variability of everyday activities, the tight-coupled and under-specified nature of work, and the nonlinear interactions among agents. At organizational level, resilience can be described as a combination of four cornerstones: monitoring, responding, learning, and anticipating. Methods: Starting from these four categories, this article aims at defining a semiquantitative analytic framework to measure organizational resilience in complex sociotechnical systems, combining the resilience analysis grid and the analytic hierarchy process. Results: This article presents an approach for defining resilience abilities of an organization, creating a structured domain-dependent framework to define a resilience profile at different levels of abstraction, and identifying weaknesses and strengths of the system and potential actions to increase system's adaptive capacity. An illustrative example in an anesthesia department clarifies the outcomes of the approach. Conclusion: The outcome of the resilience analysis grid, i.e., a weighed set of probing questions, can be used in different domains, as a support tool in a wider Safety-II oriented managerial action to bring safety management into the core business of the organization.

Adapting an Integrated Program Evaluation for Promoting Competency-Based Medical Education (역량바탕의학교육을 촉진하기 위한 교육평가: 통합평가모형 적용)

  • Ju, Hyunjung;Oh, Minkyung;Lee, Jong-Tae;Yoon, Bo Young
    • Korean Medical Education Review
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    • v.23 no.1
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    • pp.56-67
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    • 2021
  • Educational program evaluation can improve the quality of the curriculum, instructional methods, and resources and provide useful data for making educational decisions and policies. Developing and implementing a program evaluation system is essential in competency-based medical education. The purpose of this study was to explore and establish an educational program evaluation system adapting an integrated program evaluation model to promote competency-based medical education. First, an Educational Evaluation Committee was organized, consisting of faculty, staff members, and students. The committee established an integrated program evaluation model, combining Stufflebeam's Context, Input, Process, and Product (CIPP) model of a process-oriented approach and Kirkpatrick's four-level model of an outcome-oriented approach. Kirkpatrick's model was applied to the product evaluation of the CIPP model. The committee then developed evaluation criteria, indicators, and data collection methods according to the components of the CIPP model and the four levels (reaction, learning, behavior, and results) of Kirkpatrick's model, and collected and analyzed data. Finally, the committee reported the results of evaluation to a Medical Education Quality Improvement Committee, and the results were used to improve the curriculum and student selection. To enhance the quality of education, identifying educational deficiencies and developing various elements of education in a balanced way through educational evaluation will be needed. Furthermore, it will be necessary to listen to opinions of various stakeholders, work with all members involved in education, and communicate with decision-makers in the process of educational evaluation.

Predicting Prognosis in Patients with First Episode Psychosis Using Mismatch Negativity : A 1 Year Follow-up Study (초발 정신증 환자에서 Mismatch Negativity를 이용한 1년 간의 예후 예측 연구)

  • Jang, Moonyoung;Kim, Minah;Lee, Tak Hyung;Kwon, Jun Soo
    • Korean Journal of Schizophrenia Research
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    • v.20 no.1
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    • pp.15-22
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    • 2017
  • Objectives : It has been shown that early intervention is crucial for favorable outcome in patients with schizophrenia. However, development of biomarkers for predicting prognosis of psychotic disorder still requires more research. In this study, we aimed to investigate whether baseline mismatch negativity (MMN) predict prognosis in patients with first episode psychosis (FEP). Methods : Twenty-four patients with FEP and matched healthy controls (HCs) were examined with MMN at baseline, and their clinical status were re-assessed after 1 year. Repeated-measures analysis of variance was performed to compare baseline MMN between the two groups. Multiple regression analysis was used to identify factors predicting prognosis in FEP patients during the follow-up period. Results : MMN amplitudes at baseline were significantly reduced in patients with FEP compared to healthy controls. In the multiple regression analysis, baseline MMN amplitude significantly predicted later improvement of performances on digit span and delayed recall of California Verbal Learning Test. However, baseline MMN did not predicted improvement of clinical symptoms. Conclusion : These results indicate that MMN may be a possible predictor of improvement in cognitive functioning in patients with FEP. Future study with larger sample and longer follow-up period would be needed to confirm the findings of the current study.

Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future

  • Kyung Ah Kim;Hakseung Kim;Eun Jin Ha;Byung C. Yoon;Dong-Joo Kim
    • Journal of Korean Neurosurgical Society
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    • v.67 no.5
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    • pp.493-509
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    • 2024
  • In neurointensive care units (NICUs), particularly in cases involving traumatic brain injury (TBI), swift and accurate decision-making is critical because of rapidly changing patient conditions and the risk of secondary brain injury. The use of artificial intelligence (AI) in NICU can enhance clinical decision support and provide valuable assistance in these complex scenarios. This article aims to provide a comprehensive review of the current status and future prospects of AI utilization in the NICU, along with the challenges that must be overcome to realize this. Presently, the primary application of AI in NICU is outcome prediction through the analysis of preadmission and high-resolution data during admission. Recent applications include augmented neuromonitoring via signal quality control and real-time event prediction. In addition, AI can integrate data gathered from various measures and support minimally invasive neuromonitoring to increase patient safety. However, despite the recent surge in AI adoption within the NICU, the majority of AI applications have been limited to simple classification tasks, thus leaving the true potential of AI largely untapped. Emerging AI technologies, such as generalist medical AI and digital twins, harbor immense potential for enhancing advanced neurocritical care through broader AI applications. If challenges such as acquiring high-quality data and ethical issues are overcome, these new AI technologies can be clinically utilized in the actual NICU environment. Emphasizing the need for continuous research and development to maximize the potential of AI in the NICU, we anticipate that this will further enhance the efficiency and accuracy of TBI treatment within the NICU.

Investigating the Characteristics of Academia-Industrial Cooperation-based Patents for their Long-term Use (지속적 활용이 가능한 산학협력 특허 특성 분석)

  • Park, Sang-Young;Choi, Youngjae;Lee, Sungjoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.568-578
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    • 2021
  • Patents that are research results from industry-university cooperation (IUC) are a source of innovation, and play an important role in economic growth, such as technology transfer and commercialization. For this reason, there are many efforts to revitalize IUC, but in general, company patents are achievements that can be commercialized, rather than research achievements, so not all patents are used for business, even after their creation as the outcome of IUC. Therefore, this research supports the design of measures in which IUC can ultimately be linked to successful utilization of patents by identifying the purposes of IUC, even after it has been successfully promoted, and patents have been filed as a result. To this end, first, the patents registered for industry-academia cooperation in the United States are collected, and second, a predictive model is designed, with unexpired and expired patents predicted using machine learning techniques. The final identified patents are intended to derive available factors in terms of marketability and technicality. This study is expected to help predict the utilization of unexpired and expired patents, and is expected to contribute to setting goals for research results from technical cooperation between corporate and university officials planning early IUC.

Effects of a Standardized Patient Simulation Program for Nursing Students on Nursing Competence, Communication Skill, Self-efficacy and Critical Thinking Ability for Blood Transfusion (표준화환자 시뮬레이션 실습교육이 간호학생의 수혈 간호수행능력, 의사소통능력, 자기효능감과 비판적 사고능력에 미치는 효과)

  • Joo, Ga Eul;Sohng, Kyeong-Yae;Kim, Hee-Ju
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.22 no.1
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    • pp.49-58
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    • 2015
  • Purpose: This study was conducted to identify the effects of a standardized patients (SP) simulation program for nursing students on nursing competence, communication skill, self-efficacy and critical thinking ability for blood transfusion. Methods: A nonequivalent control group non-synchronized design study was used and included as participants 96 junior nursing students at C University. The SP group (n=48) participated in the teaching class using a SP, while the control group (n=48) received conventional practice education. The outcome measurements were nursing competence, communication skill, self-efficacy, and critical thinking ability for transfusion. Results: Nursing competence, communication skill, self-efficacy, and critical thinking ability improved for students in both groups after training ($2.01{\leq}t{\leq}13.03$, p<.05). Self-efficacy showed greater improvement in students in the SP group compared to the control group (t=3.36, p<.001). Conclusion: SP simulation practice may be more effective in enhancing self-efficacy than that of conventional practice education. Whether self-efficacy will contribute to enhancing learning motivation for nursing students needs further examination.

New virtual orthodontic treatment system for indirect bonding using the stereolithographic technique

  • Son, Kyoung-Hoi;Park, Jae-Woo;Lee, Dong-Keun;Kim, Ki-Dal;Baek, Seung-Hak
    • The korean journal of orthodontics
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    • v.41 no.2
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    • pp.138-146
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    • 2011
  • The purpose of this article is to introduce a new virtual orthodontic treatment (VOT) system, which can be used to construct three-dimensional (3D) virtual models, establish a 3D virtual setup, enable the placement of the virtual brackets at the predetermined position, and fabricate the transfer jig with a customized bracket base for indirect bonding (IDB) using the stereolithographic technique. A 26-year-old woman presented with anterior openbite, crowding in the upper and lower arches, and narrow and tapered upper arch, despite having an acceptable profile and balanced facial proportion. The treatment plan was rapid palatal expansion (RPE) without extraction. After 10 days of RPE, sufficient space was obtained for decrowding. After a 10-week retention period, accurate pretreatment plaster models were obtained using silicone rubber impression. IDB was performed according to the protocol of the VOT system. Crowding of the upper and lower arches was effectively resolved, and anterior openbite was corrected to normal overbite. Superimposition of the 3D virtual setup models (3D-VSM) and post-treatment 3D virtual models showed that the latter deviated only slightly from the former. Thus, the use of the VOT system helped obtain an acceptable outcome in this case of mild crowding treated without extraction. More cases should be treated using this system, and the pre- and post-treatment virtual models should be compared to obtain feedback regarding the procedure; this will support doctors and dental laboratory technicians during the learning curve.

Effect of using a Cell Phone on Gait Parameters in Healthy Young Adults: Texting and Texting while Listening to Music (휴대전화 사용이 젊은 성인의 보행에 미치는 영향: 문자메시지 보내기와 음악 감상하며 문자메시지 보내기)

  • Yu, Kyung-Hoon;Shim, Jae-Hun;Choung, Sung-Dae;Jeon, Hye-Seon
    • Journal of the Korean Society of Physical Medicine
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    • v.10 no.4
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    • pp.25-31
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    • 2015
  • PURPOSE: Previous studies have shown that healthy young adults reduced gait velocity during texting or talking while walking. It was reported that increasing number of pedestrian accidents were related to distract the environmental attention. The purpose of this study was to compare the effects of texting and texting while listening to music on gait parameters. METHODS: Texting and listening to music while walking were assessed in two dual-task condition using 35 healthy young adults. The outcome measurements were assessed in terms of spatiotemporal gait parameters in three walking conditions, namely, comfortable walking speed, walking while texting, and walking while texting and listening to music. To avoid learning effect, subjects were individually blinded to assessment schedule and space. The changes between the three walking conditions were analyzed using repeated measures ANOVA. RESULTS: When comparing the two dual-task conditions with the single-task condition, it was found that dual-task interference was increased in almost gait velocity, cadence, stride length, step time, double limb support, and single limb support. In addition, walking while texting and listening to music condition negatively was affected gait speed, stride length, and step time more than the texting only condition. CONCLUSION: Walking while texting and listening to music as well as waling while texting may decrease pedestrian safety when crossing streets by diverting the person's attention away from the street environment.