Educational Information Research Articles

Using precision periodontal health care chart (PPHCC) to improve periodontal health.

Developing a Precision Periodontal Health Care Chart (PPHCC) in the electronic dental record (EDR) system and evaluating its clinical usability and effects on clinical outcomes. A survey with ten questions based on the System Usability Scale (SUS) and six questions about assessing clinical impact was used to evaluate the satisfaction of periodontitis patients and care providers with PPHCC before and after non-surgical periodontal therapy (NSPT). The clinical outcomes, including probing depth (PD), interdental clinical attachment loss (CAL), and bleeding on probing (BOP), in patients who used PPHCC (PC) were compared to those in patients without using PPHCC (control). The associations between risk assessments included in PPHCC and clinical outcomes of NSPT were also analyzed. The mean scores of SUS questions at the initial periodontal examination were 74.26 ± 18.89 (n = 37) for patients and 88.31 ± 14.14 (n = 37) for care providers. The mean scores of SUS questions at re-evaluation were 74.84 ± 17.78 (n = 16) for patients and 89.63 ± 13.48 (n = 20) for care providers. The changes in the percentages of teeth with interdental CAL 1-2mm (p = 0.019) and CAL 3-4mm (p = 0.026) at the re-evaluation visit were significantly different between the PC and control groups, but the other parameters were not. Both patients and care providers were satisfied with using PPHCC in the clinic. However, the short-term clinical outcomes in the PC group were similar to those in the control group. PPHCC, as a tool for delivering clinical and educational information, can motivate patients to control periodontitis and assist clinicians in making a personalized treatment plan.

Educational differences in years lived with disability due to mental and substance use disorders: a cohort study using nationwide Norwegian and Danish registries

BackgroundFindings from the Global Burden of Disease (GBD) study have shown that the burden of mental and substance use disorders is considerable, and unevenly distributed across demographic groups in the population. However, there is a lack of knowledge on how this burden differs by socioeconomic position. The aim of this study was to examine educational differences in years lived with disability (YLDs) from mental and substance use disorders among males and females in two high-income countries, taking comorbidity with other diseases into account.MethodsThe study included all registered residents in Denmark and Norway from 2011 to 2021. Diagnostic information was retrieved from records in the Norwegian National Patient Registry (NPR) and the Danish Psychiatric Central Research Register (PCRR) and used as proxy measures for disorder prevalence. Demographical and educational information was taken from administrative registries. The YLD is a measure of the non-fatal health loss in the population and was calculated by multiplying the duration of a disorder with a disability weight (DW), scaled between 0 and 1. Information on remission and DWs were retrieved from the GBD study and other sources, and disorder specific DWs were averaged by severity levels and adjusted for comorbidity.ResultsEducational gradients in YLD rates were found for mental and substance disorders overall, and for most of the specific disorders. The educational gradient was more pronounced for schizophrenia, intellectual disability and substance use disorders than for eating, anxiety, and affective disorders. Both higher YLD rates, and a larger attributed proportion of the total YLDs, were found for schizophrenia, intellectual disability, and substance use disorders in the groups with low versus high education. YLD rates for eating, anxiety, and affective disorders were more equal across educational levels, but constituted a smaller proportion of the total YLDs among the groups with low versus the groups with high educational level.ConclusionMost of the disease burden related to mental and substance use disorders falls on those with the fewest years of education. This should be taken into consideration when public health targets aimed at improving mental health and reducing social inequalities in health are developed and implemented.

A problem-based approach in the formation of the self-educational competence of schoolchildren (based on the use of digital technology resources)

The article reveals the possibilities of the problem-based approach in solving the problem of the formation of the self-educational competence of schoolchildren. Various ways of influencing the development of their self-educational competence through the preparation of specially selected tasks are offered in lessons, in homework and in individual work with schoolchildren. It is substantiated that in lessons it is expedient from the point of view of the formation of self-educational competence to use typical tasks similar to typical tasks for independent work and creative tasks. It is shown that the use of educational, training and research tasks is productive for organizing homework. It has been revealed that in individual work it will be effective to perform preparatory, trial, basic tasks. At the same time, it has been proven that all the specified types of tasks involve the active use of digital technologies, which will allow for effective organization of educational activities, improve the motivation and cognitive interest of schoolchildren, ensure individualization of learning and create prerequisites for the development of independence of schoolchildren. In lessons, it is advisable to use simple digital applications, digital resources for creating your own content, digital activity environments and digital resources for online communication. It is effective to use digital resources-sources of educational information, tools for self-monitoring and self-diagnosis, as well as resources for creating your own digital content in homework. Digital resources-sources of information, tools for self-monitoring and self-diagnosis, digital activity environments and resources for personalized learning are useful for the individual work of schoolchildren. The article examines the potential of the problem-based approach to the formation of the self-educational competence of schoolchildren. The main components of self-educational competence are considered, namely: motivational-value, substantive-procedural and control-reflective. The impact of the problem-based approach on the development of each of these components is analyzed. It has been determined that the problem-based approach helps to increase students' motivation to study, stimulates their cognitive activity and develops critical thinking

Assessing Academic Preferential Hiring Practices in Highly Ranked Otolaryngology Departments.

Objective: To assess whether preferential hiring practices, particularly self-hiring, are present in academic otolaryngology departments. Setting: A list of academic Otolaryngology-Head and Neck Surgery (O-HNS) departments ranked #1-40 was generated from the Doximity 2021 rankings. The educational background and training information of clinical faculty members and departmental leadership was extracted from each department's online directories. Methods: Descriptive statistics were used to examine inter/intradepartmental relationships and affiliations of included clinical faculty and departmental leadership based on current employment and medical training sites. A "prior affiliation ratio" was calculated to assess the degree of self-hiring and account for multiple possible prior affiliations (medical school, residency, and fellowship) by dividing all prior self-hired affiliations of faculty by the total number of faculty at each department. Results: A total of 1344 clinical faculty were identified, and 596 (44.35%) had at least 1 prior affiliation with their department. The overall prior affiliation ratio was 0.6, and 7 departments had a value >0.8, with the highest being 1.27 (>1.0 indicating multiple prior affiliations per individual such as both residency and fellowship). A network map of departments #1-10 showed heavy intradepartmental faculty recruitment with 24% of faculty having completed a #1-10 residency, 24% a #11-20 residency, 13% a #21-30 residency, and 11% a #31-40 residency. Totaling this data, 76% of faculty at departments ranked #1-10 had completed training at a program ranked #1-40. Furthermore, our data shows high rates of self-hiring among departmental leadership, (40% of Departmental Chairs and 62.5% of Program Directors) though rates are not significantly higher than self-hiring among faculty overall. Conclusion: The top 40 ranked O-HNS departments have high rates of self-hiring, relying on prestige of training programs and prior affiliation in hiring decisions. The effect on departmental productivity and training is unclear.

Human-Computer Interactive Design of Education Information Recommendation System for Private Colleges Based on AI-Powered CAD Technology

Human-Computer Interactive Design of Education Information Recommendation System for Private Colleges Based on AI-Powered CAD Technology

Use of Digital Technologies for the Conduct of Work in the Government System Based on the Demans of the Current Times

This article deals with the issues of ensuring the safety of the population in the residences of citizens. It is planned to implement an electronic platform that allows for quick collection and analysis of information on the technical and social condition of residential areas. These strategies focus on digital transformation in the national economy, industry, and society. In Uzbekistan, significant steps have been taken to implement modern information and communication technologies (ICT) in public administration, education, healthcare, and agriculture. One notable challenge addressed in this study is the management of carbon monoxide poisoning, fire hazards, and explosions during the heating season. The research highlights the limitations of manual data collection, including the risk of data loss, difficulty in locating information, and inefficiencies in processing critical safety data. The program processes data in less than a minute, facilitating more efficient emergency management and preventive measures. This system exemplifies the role of digital technology in enhancing public safety and optimizing government operations.

Analisis pengetahuan perpajakan dan kepatuhan wajib pajak UMKM Kafe di Kecamatan Sario

One of the taxpayers who make a major contribution in the field of taxation is Micro, Small and Medium Enterprises (UMKM). Cafe-based UMKM in Manado City have increased every year, especially in Sario District. However, in general, the growth of UMKM is not accompanied by the development of their compliance and knowledge regarding taxes. The objectives of this study are first to analyze the compliance of UMKM cafe income taxpayers in Sario District, and second to determine the knowledge of UMKM cafe taxpayers in Sario District regarding general provisions and procedures for paying taxes. The research method used is descriptive qualitative. The informants in this study were 5 UMKM cafe business owners in Sario District, Manado City. Data collection was carried out through interviews, observations and documentation. The results of this study show two points in general. First, the compliance of UMKM cafe taxpayers in Sario District is good, where business owners already understand and carry out the basics of income tax compliance, but still need to be improved. Second, the knowledge of UMKM cafe taxpayers in Sario District varies, but is still lacking where their knowledge is limited in terms of tax procedures. This is thought to be due to the lack of socialization from the government to UMKM taxpayers. The results of the analysis revealed that business owners still find it difficult to understand tax education information, and more intensive socialization is needed from the government.

Eating disorders and health literacy in Germany: results from two representative samples of adolescents and adults.

Eating disorders are associated with substantial burden for the affected individuals including negative health outcomes and increased mortality. So far, prevention programs for eating disorders have yielded mixed results concerning their efficacy. Therefore, more targeted prevention programs need to be developed. Health literacy has been identified as a potential influencing factor of eating disorders. This study aimed at exploring the relationship between likely cases of eating disorders and health literacy, alongside additional sociodemographic factors. Two large samples of adults (N = 3,011) and adolescents (N = 1,021) representative of the German-speaking population in Germany were recruited. Likely cases of eating disorders were identified using the SCOFF questionnaire. Health literacy was assessed with the HLS-EU-Q16 questionnaire. Sociodemographic information, including age, gender, social status and level of education, and subjective body image were obtained. χ2-tests of independence were calculated to determine the association between the investigated constructs. Suspected eating disorders were more likely in female than male adolescents but were not related to gender in adults. Rates of suspected eating disorders increased with increasing age in adolescents and decreased with increasing age in adults. While levels of education were unrelated to suspected eating disorders, low social status was associated with higher rates of suspected eating disorders in adults but not adolescents. Inadequate or problematic health literacy and negative body image were associated with higher rates of suspected eating disorders compared to adequate health literacy and more positive body image. Likely cases of eating disorders are related to health literacy and body image as well as sociodemographic factors. These constructs should therefore be addressed in future research to improve prevention programs.

Emergence of AI-Generated Multimedia: Visionary Physicists in Radiology Reincarnated.

AI-powered multimedia generation technologies, particularly video synthesis through stable diffusion and transformers, offer transformative potential for radiology education, communication, and visualization. This study explores various AI-generated multimedia categories, including image and video generation, as well as voice cloning, with a focus on video synthesis and future possibilities like scan-to-video generation. Utilizing tools such as Midjourney, RunwaymL Gen2, D-ID, and ElevenLabs, we aimed to reincarnate deceased influential physicists in radiology, demonstrating AI's capability to generate realistic content with accessible tools, fostering creativity and innovation in the radiology community. We created 440 images through 110 prompts using image-to-image generation, 22 videos via image-to-video generation, and two videos showcasing text-to-voice and voice cloning techniques from December 1-7, 2023. Realism decreased from image-to-image to image-to-video and voiceover-to-video generations, with the latter requiring adjustments for lip, mouth, and head movements without incorporating facial expressions, eye movement, or hand motions. Potential applications in radiology include improving and speeding up medical 3D visualization, as well as enhancing educational content, information delivery, patient interactions, and teleconsultations. The paper addresses limitations and ethical considerations associated with AI-generated content, emphasizing responsible use and interdisciplinary collaboration for further development. These technologies are rapidly evolving, and future versions are expected to address current challenges. The ongoing advancements in AI-generated multimedia have the potential to revolutionize various aspects of radiology practice, education, and patient care, opening new avenues for research and clinical applications in the field.

Investigation of Middle School Students' Attitudes towards Mathematics Course in the Context of Different Variables (Eskişehir-Türkiye Case)

It is believed that students' motivation and emotions have an important role in their understanding of mathematics teaching. In this context, this study aims to investigate middle school students' attitudes towards mathematics lessons in the light of various variables. A quantitative cross-sectional survey approach was used in the design of the study. It was tried to understand how these variables affect students' attitudes towards mathematics. In the study, various variables such as gender, grade level, school type, technology use, use of concrete materials/activities in lessons and use of Education Information Network (EBA), an online platform for distance education, were taken into consideration. According to the findings of the study, students' attitudes towards mathematics lessons are positively affected by educational policies, curriculum designs and the creation of concrete materials and activities in the classroom. In particular, a detrimental change was observed in the attitudes of students who used EBA less. The perspective provided by this study is crucial for understanding middle school students' attitudes about mathematics in learning environments. It is also recommended that the study be extended to cover more samples and regions, as the findings can serve as a basis for further research.

An Empirical Research on the Practices of Education Management Information System (EMIS) in South West Showa Education Sectors

This study focused on the implementation of Educational Management Information System (EMIS) in South West Showa education sectors. An Education Management Information System (EMIS) is a system that collects, manages, and shares educational data within a national ministry or department of education. EMIS, as defined by UNESCO in 2018, is a system of operational processes utilizing digital technology to gather, analyze, and utilize data and information in education for various purposes such as management, planning, policy-making, and monitoring. A mixed research approach was used, with data collected through questionnaires, interviews, and document analysis. Data analysis was done using SPSS version 24. The study involved the South West Showa education office management body and 6 Woredas education sectors. Challenges identified included lack of education indicators manual, qualified personnel, EMIS software user manual, relevant training, computer and printer shortages, high turnover in EMIS positions, and issues with data accuracy and reliability. Respondents highlighted problems such as insufficient ICT infrastructure, lack of IT competency, shortage of qualified staff, and poor coordination. The study concluded that EMIS faced various obstacles affecting its management, and recommendations were made to address these issues.

Predicting cannabis use moderation among a sample of digital self-help subscribers: A machine learning study

BackgroundFor individuals who wish to reduce their cannabis use without formal help, there are a variety of self-help tools available. Although some are proven to be effective in reducing cannabis use, effect sizes are typically small. More insight into predictors of successful reduction of use among individuals who frequently use cannabis and desire to reduce/quit could help identify factors that contribute to successful cannabis use moderation. MethodsWe analyzed data taken from a randomized controlled trial comparing the effectiveness of the digital cannabis intervention ICan to four online modules of educational information on cannabis. For the current study, we included 253 participants. Success was defined as reducing the grams of cannabis used in the past 7 days at baseline by at least 50 % at 6-month follow-up. To train and evaluate the machine learning models we used a nested k-fold cross-validation procedure. ResultsThe results show that the two models applied had comparable low AUROC values of .61 (Random Forest) and .57 (Logistic Regression). Not identifying oneself as a cannabis user, not using tobacco products, high levels of depressive symptoms, high levels of psychological distress and high initial cannabis use values were the relatively most important predictors for success, although overall the associations were not strong. ConclusionsOur study found only modest prediction accuracy when using machine learning models to predict success among individuals who use cannabis and desire to reduce/quit and show interest in digital self-help tools.

Acceptance of artificial intelligence and its effect on entrepreneurial intention in foreign trade students: a mirror analysis

Artificial intelligence (AI) has experienced a significant increase in its application in the educational field worldwide. This study aimed to analyze the acceptance of AI and its effect on the entrepreneurial intentions of international trade university students in Peru and Ecuador. With a quantitative approach and a non-experimental applied design, an online survey was administered to international trade students from Peru and Ecuador. Amos version 24 software was used to obtain model fit indices and perform gender-based invariance tests. Additionally, SmartPLS statistical software, based on the partial least squares (PLS) technique, was employed to test the hypotheses of the structural equation model (SEM). The measurement model presented acceptable fit indices. When calculating invariance, the configural, metric, and scalar models were satisfactory, although the residual model was not confirmed. It was found that hedonic motivation, habit, and performance expectations influenced international trade students’ intention to use AI. Likewise, it was discovered that the intention to use AI tools has an effect on entrepreneurial intention. Gender and age did not moderate the effect of AI usage intention on entrepreneurial intention. The study provides empirical evidence on the acceptance of AI and its influence on students’ entrepreneurial intentions, offering valuable information for educators, policymakers, and technology developers in the educational field.

Co-Construction of Iteration Through Failure Moments: Interactions Between Museum Educators and Visitors

Museum educators play a major role in how visitors’ experience failure moments during STEM-related activities. The purpose of this study was to explore how museum educators co-constructed iteration through failure moments with visitors during an engineering activity. Utilizing an instrumental case study, we analyzed video data and one-on-one reflective meetings from five museum educators. Through our analysis, we highlight how educators and visitors are able to jointly attend, interpret, and respond to failures that leads to continuous improvements of the prototype and/or design process (i.e., iteration). The significance of this study lies in providing informal educators with approaches they can incorporate to support visitors during the failure-learning process, namely, strategies that develop visitors’ noticing skills around failure.

LEADERSHIP STYLES AMONG SCHOOL ADMINISTRATORS EMBRACING SITUATIONAL LEADERSHIP MODEL: THE CASE OF T’BOLI WEST DISTRICT, SOUTH COTABATO DIVISION, PHILIPPINES

This study utilized a multiple case design to describe and gain insights from the leadership styles among school administrators embracing the situational leadership model: the case of T’boli West district, South Cotabato division, Philippines. This study used an in-depth interview to gather the data needed. A total of five school administrators were the respondents of this study. The results showed that most participants gained positive benefits from their experiences, challenging them to strive for greater advancement to become better educators despite the rigors of life. Nevertheless, even if they have faced many difficulties, the study found that principals embracing situational leadership are even more inspired. Understanding their difficulty as principals added to the body of information in education. Their attitude toward their personal and professional well-being would change if they valued the importance of resilience in the leading professionals.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0977/a.php" alt="Hit counter" /></p>

Impact of Bilingual Education on Students Linguistic Proficiency and Cognitive Development at University Level

This study investigates the impact of bilingual education on university students' linguistic proficiency and cognitive development. The research aims to explore the relationship between bilingual education and students' linguistic abilities while assessing its influence on cognitive functions such as memory, critical thinking, and problem-solving skills. The research hypothesizes that students enrolled in bilingual education programs were demonstrate higher linguistic proficiency and enhanced cognitive development compared to those in monolingual programs. The population consists of university students enrolled in bilingual education programs across various disciplines, with a sample of 200 students selected through stratified random sampling. The study employs a cross-sectional design, utilizing a quantitative research approach. Data collection is conducted through standardized language proficiency tests and cognitive assessment tools, supplemented by structured questionnaires to gather demographic and educational background information. The data were analyzed using descriptive statistics, correlation analysis, and multiple regression techniques to identify significant relationships and impacts. The findings of this study are expected to contribute valuable insights into the effectiveness of bilingual education at the university level, offering implications for curriculum development and educational policy in multilingual contexts.

52327 ChatGPT Can Be Used to Improve Readability and Health Literacy Scores of Public Dermatology Educational Information

52327 ChatGPT Can Be Used to Improve Readability and Health Literacy Scores of Public Dermatology Educational Information

The Development of a Blended Learning Model with a Flipped Classroom Based on MOOC to Enhance Academic Performance and Attitude in the "Basics of Computer Application" Course at Guangxi Normal University for Nationalities

Background and Aim: In today's highly competitive and evolving academic environment, academic performance and learning attitude are considered two crucial aspects that shape students' academic performance and personal development. Academic performance not only reflects a person's learning outcomes in a specific subject area but is also closely related to his or her learning attitude. The traditional teaching mode can’t meet the teaching demand of the "Basics of Computer Application" course, and the blended learning model is more suitable for the development of education information. This study aimed: (1) To study the development of students' academic performance by the flipped classroom teaching mode based on MOOC. (2) To study the development of students' learning attitudes by the flipped classroom teaching mode based on MOOC. Materials and Methods: The research sample is a total of 60 students in two classes of the first grade of preschool education at Guangxi Normal University for Nationalities, there are 30 students in both classes, and they are divided into two groups based on the class: Class 1 is used as the control group to teach in the traditional classroom teaching mode, and class 2 as the experimental group is taught in the flipped classroom teaching mode based on MOOC. The data of this research comes from test papers and questionnaires. Input the test data into SPSS for descriptive statistics and data analysis; input the questionnaire data into SPSS for data analysis. Results: (1) The academic performance after learning with the flipped classroom teaching model based on MOOC is significantly higher than the traditional teaching model(P<0.01). (2) The attitude after learning with the flipped classroom teaching model based on MOOC is significantly higher than the traditional teaching model(P<0.01). Conclusion: (1) In the "Basics of Computer Application" Course, flipped classroom teaching based on MOOC can improve students' academic performance more than traditional classroom teaching. (2) In the "Basics of Computer Application" Course, flipped classroom teaching based on MOOC can improve students' learning attitude more than traditional classroom teaching.

Role of Virtual Reality to Enhance Learning Motivation: A Bibliometric Analysis

The rapid advancement of virtual reality (VR) technology has sparked interest in its potential use in educational settings. This study investigates how virtual reality could enhance learning motivation using a bibliometric analysis of scholarly works published between 2020 and 2024. The primary objectives are to identify significant research trends, notable works, and emerging subjects in the literature. 300 relevant articles were collected from Scopus, which served as the data source. The analysis was done using bibliometric tools such as VOS viewer. The study focused on co-authorship networks, citation patterns, and phrase co-occurrence in order to map the research landscape. The results demonstrate that interest in VR's potential to raise learning motivation is growing, with interdisciplinary collaborations at foreign institutions playing a significant role in this trend. The significance of integrating technology, creating immersive learning environments, and the psychological impacts of virtual reality on student engagement are highlighted in important findings. Despite the positive advancements, accessibility issues and constraints in long-term impact research were discovered. This research contributes to the body of knowledge currently in existence and offers useful information for academics, educators, and policymakers with its in-depth examination of Virtual Reality's effect on educational motivation. More research is required to close the gaps observed to fully realize the potential of virtual reality in education.

Preferences for Neurodevelopmental Follow-Up Care for Children: A Discrete Choice Experiment.

Identifying and addressing neurodevelopmental delays in children can be challenging for families and the healthcare system. Delays in accessing services and early interventions are common. The design and delivery of these services, and associated outcomes for children, may be improved if service provision aligns with families' needs and preferences for receiving care. The aim of this study is to identify families' preferences for neurodevelopmental follow-up care for children using an established methodology. We used a discrete choice experiment (DCE) to elicit families' preferences. We collected data from families and caregivers of children with neurodevelopmental needs. The DCE process included four stages. In stage 1, we identified attributes and levels to be included in the DCE using literature review, interviews, and expert advice. The finalised attributes were location, mode of follow-up, out-of-pocket cost per visit, mental health counselling for parents, receiving educational information, managing appointments, and waiting time. In stage 2, we generated choice tasks that contained two alternatives and a 'neither' option for respondents to choose from, using a Bayesian d-efficient design. These choice tasks were compiled in a survey that also included demographic questions. We conducted pre- and pilot tests to ensure the functionality of the survey and obtain priors. In stage 3, the DCE survey was administered online. We received 301 responses. In stage 4, the analysis was conducted using a latent class model. Additionally, we estimated the relative importance of attributes and performed a scenario analysis. Two latent classes were observed. More families with full-time employees, higher incomes, postgraduate degrees, and those living in metropolitan areas were in class 1 compared with class 2. Class 1 families preferred accessing local public health clinics, face-to-face follow-up, paying AUD100 to AUD500, mental health support, group educational activities, health service-initiated appointments, and waiting < 3 months. Class 2 families disliked city hospitals when compared with private, preferred paying AUD100 or no cost, and had similar preferences regarding mental health support and wait times as class 1. However, no significant differences were noted in follow-up modality, receiving educational information, and appointment management. The relative importance estimation suggested that location was most important for class 1 (28%), whereas for class 2, cost accounted for nearly half of the importance when selecting an alternative. The expected uptake of follow-up care, estimated under three different hypothetical scenarios, may increase by approximately 24% for class 2 if an 'ideal' scenario taking into account preferences was implemented. This study offers insights into aspects that may be prioritised by health services and policymakers to improve the design and delivery of neurodevelopmental follow-up care for children. The findings may enhance the organisation and functioning of existing care programmes; and therefore, improve the long-term outcomes of children with neurodevelopmental needs and their families.