No abstract available.
Learning* ; Social Media* ; Unconscious (Psychology)*

PURPOSE: A college or university faculty can be regarded as an educator, researcher, and service provider. The purpose of this study is to evaluate the accountability of medical school professors focusing on the educational duties and to propose the solution and strategy for accountability evaluation of medical school faculty. METHODS: The study used questionnaires which was developed in five big categories asking basic information of the faculty, educational activities, subject of the accountability evaluation, and the primary disturbing factor in accomplishing the educational accountability. The questionnaires were asked to 61 faculty members in Yonsei University College of Medicine. RESULTS: The accountability importance of the medical school faculty was research(37.13%), teaching(31.80%), practice medicine(21.97%) and service(9.10%). Much weight was given for research(40.00%) and education(19.42%). The faculty concentrated mostly on delivering learning objectives as their educational activities. The biggest problem affecting the faculty from concentrating on educational accountability was the over workload. Insufficient incentives and lack of interest in education came next. The faculty also showed dissatisfaction with the obscurity of accountability assessment in operation, uniformity of the measurement and the absence of objective assessment standard. CONCLUSION: Medical schools need to create an environment in support of the faculty to focus on the educational activities. And when evaluating their accountability, the assessment standards need to be systematized and differentiated according to their specialities.
Education ; Learning ; Motivation ; Schools, Medical* ; Social Responsibility* ; Surveys and Questionnaires

OBJECTIVE: People often evaluate others using fragmentary but meaningful personal information in recent days through social media. It is not clear that whether this process is implicit or explicit and what kind of information is more important in such process.We examined the effects of several meaningful fragmentary information onattitude. METHODS: Thirty three KAIST students were provided four fragmentary information about four virtual people that are meaningful in evaluating people and frequently seen in real life situations, and were asked to imagine that person during four follow-up sessions. Explicit and Implicit attitudes were measured using Likert scale and Implicit Association Test respectively. Also, eye tracking was done to find out the most important information. RESULTS: Strong explicit attitudes, were formed toward both men and women, and weak but significant implicit attitudes, were generated toward men only. Eyetracking results showed that people spent more time reading morality information. CONCLUSION: Our results indicate that explicit attitudes are made by propositional learning, which is the main component for evaluating others with several meaningful fragmentary information, and implicit attitudes are formed by top down process. And as well as those of previous studies, morality information was suggested as the most important factor in developing attitudes.
Female ; Follow-Up Studies ; Humans ; Learning ; Male ; Morals ; Social Media

BACKGROUND: Effective policy implementation is essential for a healthy workplace. The Ryan-Kossek 2008 model for work-life policy adoption suggests that supervisors as gatekeepers between employer and employee need to know how to support and communicate benefit regulations. This article describes a workplace intervention on a national employee benefit, Family and Medical Leave Act (FMLA), and evaluates the effectiveness of the intervention on supervisor knowledge, awareness, and experience with FMLA. METHODS: The intervention consisted of computer-based training (CBT) and a survey measuring awareness and experience with FMLA. The training was administered to 793 county government supervisors in the state of Oregon, USA. RESULTS: More than 35% of supervisors reported no previous training on FMLA and the training pre-test revealed a lack of knowledge regarding benefit coverage and employer responsibilities. The CBT achieved: (1) a significant learning effect and large effect size of d = 2.0, (2) a positive reaction to the training and its design, and (3) evidence of increased knowledge and awareness regarding FMLA. CONCLUSION: CBT is an effective strategy to increase supervisors' knowledge and awareness to support policy implementation. The lack of supervisor training and knowledge of an important but complex employee benefit exposes a serious impediment to effective policy implementation and may lead to negative outcomes for the organization and the employee, supporting the Ryan-Kossek model. The results further demonstrate that long-time employees need supplementary training on complex workplace policies such as FMLA.
Humans ; Learning ; Local Government ; Oregon ; Social Control, Formal

PURPOSE: The objective of this study was to assess physical therapy student perceptions of team-based learning (TBL) in a graduate level gross anatomy course using the TBL Student Assessment Instrument (TBL-SAI). METHODS: The TBL-SAI was administered to 85 doctor of physical therapy (DPT) students, comprising three cohorts (classes of 2013, 2014, and 2015), who successfully completed a gross anatomy course where TBL was implemented. The TBL-SAI surveys 33 items, each rated from one (strongly disagree) to five (strongly agree) and measures three subscales: students' perceptions of accountability, preference for lecture or TBL, and student satisfaction. RESULTS: The means for each subscale and the total TBL-SAI score for each cohort fell above the neutral score. The 2015 group (mean, 37.97; 95% confidence interval [CI], 35.67 to 40.26) reported significantly higher satisfaction than that of the 2013 group (mean, 32.71; 95% CI, 30.31 to 35.05) and the 2014 group (mean, 33.11; 95% CI, 30.69 to 35.53). The 2015 group (mean, 125.3; 95% CI, 120.6 to 130.3) also had a significantly higher total score than that of the 2013 group (mean, 115.6; 95% CI, 110.5 to 120.5). CONCLUSION: The physical therapy students reported an overall positive experience in using TBL to learn gross anatomy in terms of accountability, preference for learning mode, and satisfaction. This positive experience with TBL was accompanied by their successful academic performance. Given the traits and learning preferences in this generation of graduate students, TBL could be a teaching method that is received positively elsewhere and results in successful academic performance and learning.
Cohort Studies ; Education ; Humans ; Learning* ; Social Responsibility ; Teaching ; Surveys and Questionnaires

PURPOSE: This study explores how to design a flipped classroom for a predental science course and evaluate its course through student self-assessment in order to provide practical implications for flipped learning in an undergraduate level. METHODS: Second- and third-year predental students in the Seoul National University School of Dentistry enrolled in Biodiversity and Global Environment, a 15-week, three-credit course based on a flipped learning model. At the end of the course, the students were asked to rate their self-directed learning, attitude toward social media, discussion skills, learning readiness, and class satisfaction. Out of the 82 predental students, 61 (74.3%) answered the survey. Pearson correlation and multivariate regression analyses were employed to examine the relationship between the self-rated measurements and the performance scores. RESULTS: The majority of the students felt somewhat more prepared than the medium level before the class (mean score of 3.17 out of 5.00), whereas they expressed relatively low preference concerning social media use and attitude (mean score of 2.49). Thus, it was found that learning readiness was significantly associated with both discussion skills and class satisfaction. In particular, multivariate regression analysis confirmed that learning readiness had a significant influence on learning outcomes. CONCLUSION: This study offered insights into how to design a flipped learning course in terms of predental students' preference and their learning readiness. Although learning success in a flipped classroom depends on the students' self-perceived level of preparedness, much still remains to be achieved in order to apply social media benefits in a flipped learning context.
Biodiversity ; Dentistry ; Humans ; Learning ; Self-Assessment* ; Seoul ; Social Media

The purpose of this study was to evaluate the association between oral health-related quality of life and school life satisfaction in high school students. A questionnaire-based survey was conducted on high school students in Daegu, South Korea from November to December, 2015, and final data from 432 students was analyzed. Analysis of oral health-related quality of life in terms of general characteristics showed that both academic achievement and stress were significant factors (p<0.05). With respect to school life satisfaction, academic achievement was found to be a highly significant influencing factor (p<0.01). Correlation analyses of oral health-related quality of life with various factors of school life satisfaction showed positive correlations with personal relationships, educational learning environment, social support. Regression analysis of school life satisfaction showed that academic achievement and oral health-related quality of life were influencing factors. These results indicate that oral health-related quality of life may play a significant role in school life satisfaction.
Daegu ; Humans ; Korea ; Learning ; Quality of Life* ; Social Environment

BACKGROUND AND OBJECTIVES

One of the effects of the COVID-19 pandemic on medical education is an increased awareness and use of social media (SocMed) to facilitate learning. However, literature on the use of SocMed in medical education has focused primarily on educator-led teaching activities. Our study aimed to describe SocMed initiatives that were student-led, particularly for information dissemination and peer collaborative learning, and to elicit perceptions of medical students towards such activities.

An online survey on SocMed usage in medical education was sent to all first- and second-year medical students at the University of the Philippines Manila College of Medicine from October to December 2021. The questionnaire collected data on demographics, SocMed habits and preferences, and perceived advantages and disadvantages of SocMed. Descriptive statistics were calculated while the free-text responses were grouped into prominent themes and summarized.

We received a total of 258 responses (71%) out of 361 eligible participants. Overall, 74% found SocMed platforms to be very and extremely helpful; 88% recommended its continued use. The most popular SocMed platforms for different tasks were as follows: Discord for independent study groups and for conducting peer tutoring sessions; Facebook Messenger for reading reminders; Telegram for reading announcements related to academics and administrative requirements, and for accessing material provided by classmates and professors.

The high uptake of SocMed among medical students may be attributed to its accessibility and costefficiency. The use of a particular SocMed platform was dependent on the students’ needs and the platform's features. Students tended to use multiple SocMed platforms that complemented one another. SocMed also had disadvantages, such as the potential to distract from academic work and to become a source of fatigue. Educators must engage with students to understand how SocMed platforms can be integrated into medical education, whether in the physical or virtual learning environment.

Diabetes is a chronic disease that requires patient self-management. Successful self-care by diabetics includes accepting their diabetes status and learning proper diabetes management, as well as creating and maintaining a lifestyle that enables diabetes management.Recently, in order to improve diabetics’ self-care capability, health education has been shared by trained specialists (doctors, nurses, nutritionists, and medical social workers, etc.) through team access. Under these circumstances, the medical social worker acts as a member of the treatment team and plays a role in helping patients’ stabilize treatment and return to society smoothly by training them in psychological, economic, and social issues that make living with diabetes treatment difficult.The purpose of this study was to examine the role of medical social workers engaged in the treatment of diabetics based on their clinical work.
Chronic Disease ; Health Education ; Humans ; Learning ; Life Style ; Nutritionists ; Self Care ; Social Work ; Social Workers ; Specialization

There is a more urgent call for educational methods of machine learning in medical education, and therefore, new approaches of teaching and researching machine learning in medicine are needed. This paper presents a case using machine learning through text analysis. Topic modeling of news articles with the keyword ‘asbestos’ were examined. Two hypotheses were tested using this method, and the process of machine learning of texts is illustrated through this example. Using an automated text analysis method, all the news articles published from January 1, 1990 to November 15, 2016 in South Korea which included ‘asbestos’ in the title and the body were collected by web scraping. Differences in topics were analyzed by structured topic modelling (STM) and compared by press companies and periods. More articles were found in liberal media outlets. Differences were found in the number and types of topics in the articles according to the partisanship and period. STM showed that the conservative press views asbestos as a personal problem, while the progressive press views asbestos as a social problem. A divergence in the perspective for emphasizing the issues of asbestos between the conservative press and progressive press was also found. Social perspective influences the main topics of news stories. Thus, the patients' uneasiness and pain are not presented by both sources of media. In addition, topics differ between news media sources based on partisanship, and therefore cause divergence in readers' framing. The method of text analysis and its strengths and weaknesses are explained, and an application for the teaching and researching of machine learning in medical education using the methodology of text analysis is considered. An educational method of machine learning in medical education is urgent for future generations.
Asbestos ; Education, Medical ; Humans ; Korea ; Machine Learning ; Methods ; Social Problems ; Social Responsibility