Pimwalunn Aryuwat et al. · 2024 · Nursing Reports · Open access
Nursing students require resilience to navigate the complexities of clinical practice. This characteristic is essential for managing demanding workloads, unpredictable patient situations, and emotional stressors while maintaining performance and well-being. Fostering resilience helps students develop the capacity to adapt to adversity, overcome setbacks, and remain committed to providing high-quality patient care. This qualitative study explores the challenges and supports influencing nursing students' resilience during clinical education. Interviews with 28 Thai nursing students revealed two key themes: the "experience of vulnerability" and the "experience of meaningfulness". The sub-themes of vulnerability included "navigating uncertainty", "transcending professional struggles", and "being exposed to diverse encounters". The sub-themes of meaningfulness focused on restoring strength through social interactions and engaging in positive transformation. This study highlights the need for comprehensive support systems that address personal and professional vulnerabilities. Integrating caring theory principles could further enhance resilience by emphasizing compassionate care and fostering student empathy. This suggests that instructors and stakeholders can significantly impact student well-being by creating supportive environments built on collaboration, empathy, and mentorship, all of which are aligned with caring theory.
Research and education tool only. Not for diagnosis, emergency care, legal advice, or treatment recommendations. Verify citations against original sources.
Ayşe Bağrıaçık Yılmaz & Serçin Karataş · 2022 · International Journal of Educational Technology in Higher Education · Open access
While the demand for open and distance education is increasing, it also faces high dropout rates. The reasons and solutions for student dropouts need considerable attention. This study aims to uncover the reasons for student dropouts considering the perspective of students, field experts, instructors, administrators, and support staff. Data from semi-structured interviews with 40 participants revealed that students decide to drop out mainly due to four main reasons: internal reasons, external reasons, student characteristics, and student skills. These reasons include 37 sub-factors such as academic integration, social integration, financial status, personality, and self-regulation. The sub-factors and selected quotations from the interviews are presented in the findings. According to the results, administrators, field experts, instructors, and support staff are not aware of all the dropout reasons. The results of this research are believed to guide researchers, practitioners, and administrators in enhancing the quality of open and distance education.
Melinda Astuti et al. · 2021 · Journal of Education Technology · Open access
One of the needs for competence in the world of work in the 21st century and the era of the industrial revolution 4.0. is competence in using digital technology. Vocational education is required to provide digital competencies to students through their learning. The maturity level of digital technology competence is divided into five levels, namely caring, literacy, capability, creativity, and being critical of using digital technology. This study aims to analyze the maturity level of vocational education teachers and students in mastering digital technology in learning. The survey research uses a design developed by Rea & Parker. A total of 233 vocational high school students were included as the research sample. Data were collected using a questionnaire technique with a four Likert scale questionnaire instrument. The collected data were analyzed using descriptive statistics and inferential statistics t test. The results show that the maturity level of digital technology for teachers and students is sequential, starting from awareness, literacy, capability, creativity, and being critical of using digital technology. All levels of maturity are included in the low category. Various trainings and learning innovations that are relevant to the relevance of digital technology mastery competencies are very important to be improved.
Thomas K. F. Chiu et al. · 2024 · Computers & Education · Open access
Teacher Digital Competence (TDC) framework guides policy revision and professional development, empowering teachers for future classrooms by technologies such as artificial intelligence (AI) and metaverse. Falloon (2020) expanded the TPACK framework to include personal-ethic and personal-professional competencies, addressing ethical, safe, and productive functioning in diverse, digital environments for a new TDC framework. The two new sets of personal-competencies are very important to the use of AI and metaverse in education. However, research on implementation of Falloon's (2020) TDC framework that requires interdisciplinary collaboration among school members is limited. Teachers' engagement in TDC development activities is influenced by school digital learning policy and culture, and explained by three needs satisfaction in Self-determination Theory. Therefore, this study had two goals. First it proposed and examined a research model using school learning support as a predictor, needs satisfactions as mediating variable and the two new sets of TDC as criterion variables by analyzing questionnaire data. Second, it identifies needs-supportive strategies for digital education by analyzing interviews and school documents. The participants were 370 school teachers. The results showed that the positive effect of the school learning support on TDC, and needs satisfaction fully mediated the relationship between perceived school learning support and the two sets of personal competencies. We also suggested 12 ways for designing school digital policy and culture that satisfy teachers' needs, and validated instruments of the two sets of personal competencies. TDC that covers teacher artificial intelligence competence is important to the future teacher professional development.
Hiltje Oude Luttikhuis et al. · 2009 · Cochrane Database of Systematic Reviews · Open access
BACKGROUND: Child and adolescent obesity is increasingly prevalent, and can be associated with significant short- and long-term health consequences. OBJECTIVES: To assess the efficacy of lifestyle, drug and surgical interventions for treating obesity in childhood. SEARCH STRATEGY: We searched CENTRAL on The Cochrane Library Issue 2 2008, MEDLINE, EMBASE, CINAHL, PsycINFO, ISI Web of Science, DARE and NHS EED. Searches were undertaken from 1985 to May 2008. References were checked. No language restrictions were applied. SELECTION CRITERIA: We selected randomised controlled trials (RCTs) of lifestyle (i.e. dietary, physical activity and/or behavioural therapy), drug and surgical interventions for treating obesity in children (mean age under 18 years) with or without the support of family members, with a minimum of six months follow up (three months for actual drug therapy). Interventions that specifically dealt with the treatment of eating disorders or type 2 diabetes, or included participants with a secondary or syndromic cause of obesity were excluded. DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trial quality and extracted data following the Cochrane Handbook. Where necessary authors were contacted for additional information. MAIN RESULTS: We included 64 RCTs (5230 participants). Lifestyle interventions focused on physical activity and sedentary behaviour in 12 studies, diet in 6 studies, and 36 concentrated on behaviorally orientated treatment programs. Three types of drug interventions (metformin, orlistat and sibutramine) were found in 10 studies. No surgical intervention was eligible for inclusion. The studies included varied greatly in intervention design, outcome measurements and methodological quality.Meta-analyses indicated a reduction in overweight at 6 and 12 months follow up in: i) lifestyle interventions involving children; and ii) lifestyle interventions in adolescents with or without the addition of orlistat or sibutramine. A range of adverse effects was noted in drug RCTs. AUTHORS' CONCLUSIONS: While there is limited quality data to recommend one treatment program to be favoured over another, this review shows that combined behavioural lifestyle interventions compared to standard care or self-help can produce a significant and clinically meaningful reduction in overweight in children and adolescents. In obese adolescents, consideration should be given to the use of either orlistat or sibutramine, as an adjunct to lifestyle interventions, although this approach needs to be carefully weighed up against the potential for adverse effects. Furthermore, high quality research that considers psychosocial determinants for behaviour change, strategies to improve clinician-family interaction, and cost-effective programs for primary and community care is required.
Inmaculada García‐Martínez et al. · 2023 · Journal of New Approaches in Educational Research · Open access
Abstract Artificial intelligence (AI) and computational sciences have aroused a growing interest in education. Despite its relatively recent history, AI is increasingly being introduced into the classroom through different modalities, with the aim of improving student achievement. Thus, the purpose of the research is to analyse, quantitatively and qualitatively, the impact of AI components and computational sciences on student performance. For this purpose, a systematic review and meta-analysis have been carried out in WOS and Scopus databases. After applying the inclusion and exclusion criteria, the sample was set at 25 articles. The results support the positive impact that AI and computational sciences have on student performance, finding a rise in their attitude towards learning and their motivation, especially in the STEM (Science, Technology, Engineering, and Mathematics) areas. Despite the multiple benefits provided, the implementation of these technologies in instructional processes involves a great educational and ethical challenge for teachers in relation to their design and implementation, which requires further analysis from the educational research. These findings are consistent at all educational stages.
Oliver Laasch et al. · 2022 · Journal of Business Ethics · Open access
Abstract At the centre of responsible management (RM) learning is the development of managerial competence for ethics, responsibility, and sustainability (ERS). Important contributions have been made from each: the ethics, responsibility, and sustainability disciplines. However, we are yet to integrate these disciplinary contributions into a comprehensive interdisciplinary RM competence framework that corresponds to the interdisciplinary nature of RM challenges. We address this priority in this paper and report on the findings of an integrative structured literature review of 224 management competence articles across the ERS disciplines. Our thematic template analysis has produced an interdisciplinary RM competence framework of three layers of personal, behavioural, and intellectual competences and independent and interdependent competence dimensions. The resulting 3 × 2 competence matrix framework accommodates 33 interdisciplinary ERS competence themes and 90 subthemes in the six competence domains of being and becoming , acting and interacting , knowing and thinking . To the RM discussion, we contribute an interdisciplinary competence framework that enables the development of responsible managers who tackle the inherently interdisciplinary issues of RM. To the competence discussion, we contribute the interdependent competence dimension and future research directions through the lens of response-ability. JBE Section: Business Ethics Learning and Education
Samuel C. Karpen · 2017 · American Journal of Pharmaceutical Education · Open access
<b>Objective:</b> To describe the psychological mechanisms that underlie biased self-assessment and suggest pedagogical techniques to counter them. <b>Findings:</b> Since the psychological mechanisms that underlie bias self-assessment occur below awareness, strategies that attempt to address bias directly are unlikely to succeed. A more effective approach may be to structure students’ learning experiences in ways that prevent the unconscious biasing mechanisms from operating efficiently. <b>Summary:</b> Given the importance of accurate self-knowledge for professional students and clinicians, as well as its difficulty to attain, an understanding of the psychological mechanisms that contribute the most common forms of biased self-assessment is essential for creating and implementing effective mitigation strategies.
Kevin W. Eva & Glenn Regehr · 2005 · Academic Medicine
Many researchers and educators have identified self-assessment as a vital aspect of professional self-regulation.1,2,3 This rationale has been the expressed motivation for a large number of studies of self-assessment ability in medical education, health professional education, and professions education generally. Unfortunately, the outcome of most studies would seem to cast doubt on the capacity for self-assessment, with the majority of authors concluding that self-assessment is, in fact, quite poor.4 In a recent article, Ward and colleagues suggested that this conclusion must be questioned because the methodologies used to evaluate self-assessment are fraught with methodological weaknesses.4 However, even studies that have attempted to address the weaknesses within the methodological paradigm have produced little evidence for effective self-assessment.5 Thus, the health professional education community is left with a conundrum that can only be resolved by deciding either that the conclusions of the studies are wrong, or that a critical premise underlying the concept of “self-regulation” in the professions is unsupportable. The current paper addresses this conundrum by arguing that there is a problem with the literature on self-assessment, and that this problem is more fundamental than a list of easily correctable methodological flaws. Rather, the roots of the problem in the self-assessment literature involve a failure to effectively conceptualize the nature of self-assessment in the daily practice of health care professionals, and a failure to properly explicate the role of self-assessment in a self-regulating profession. Until such an articulation of self-assessment is elaborated, it is difficult to know even which literatures might be informative in addressing this issue, and impossible to develop programs of research that operationalize the concept of self-assessment ability in a form that can be effectively studied. Thus, we will begin with a brief reflection on the various functions of self-assessment for a practicing health care professional and the manner in which these functions operate. The Purposes of Self-Assessment in Practice Self-assessment has been defined broadly as the involvement of learners in judging whether or not learner-identified standards have been met.6 While attractive due to their concise and encompassing nature, we fear that such simple definitions risk being misleading as they can cause underappreciation of the complexities of the construct. Self-assessment functions both as a mechanism for identifying one’s weaknesses and as a mechanism for identifying one’s strengths. Each of these mechanisms can be considered to have distinct, albeit complementary, functions. As a mechanism for identifying weaknesses or gaps in one’s skills and abilities, self-assessment serves several potential functions. First, in daily practice, the identification of one’s weaknesses allows the professional to self-limit in areas of limited competence. For example, in many circumstances the professional can quickly reject certain plans of action because she recognizes that she is unlikely to be able to complete the component tasks necessary to enact the plan. In other circumstances, a professional might recognize that he is “over his head” in a particular case and decide that it is time to recruit additional resources: to “look this up,” to obtain a consultation, to recruit additional support, or to refer the problem to another individual who is more competent in this domain. Second, in reflecting on one’s practice in general, the ability to identify weaknesses can serve the function of helping the professional set appropriate learning goals. That is, the traditional model of self-regulated continuing professional development presumes that an individual will select ongoing learning activities that fill professional gaps, but this presumes that the professional can effectively self-assess. Thus, in this role, the identification of weakness can help a professional to decide what must be learned. As a corollary to this, effective self-assessment is vital for setting realistic expectations of oneself, to avoid setting oneself up for failure. Thus, the identification of weakness also helps the self-regulating professional to decide what not to try learning, what should be accepted as forever outside one’s scope of competent practice. There is a complementary set of functions served by the ability to accurately self-assess one’s strengths. First, in daily practice, having a clear and accurate sense of one’s strengths allows the professional to act with appropriate confidence. For example, knowing one’s strengths provides the professional with the confidence to move forward on a fitting plan of action without inappropriate hesitation or trepidation. Similarly, it ensures that the individual will choose to persist on an appropriate plan of action in the face of initially negative feedback. The right path is not always smooth even if it is right, and early abandonment of an appropriate plan of action is as costly as selecting an inappropriate plan in the first place. Second, when reflecting on one’s practice in general, an appropriate assessment of one’s strengths ensures that one can set appropriately challenging learning goals, pushing the edges of one’s knowledge rather than choosing professional development courses that merely reiterate what one already knows. At the same time, by knowing one’s strengths, a professional can select learning objectives that are within her grasp, and therefore will be able to enjoy the motivational influence of attaining her goals and experience the satisfaction of a job well done. Together, then, the ability to accurately assess one’s weaknesses and one’s strengths generates a capacity for finding an effective balance both in daily practice and in setting personal learning goals. In daily practice, it generates a balance of confidence and caution, of persistence and flexibility, of experimentation and safety, and of independence and collaboration. In establishing learning goals, it generates a balance of learning enough but not too much, of starting neither too high nor too low, of knowing what to tackle and what to abandon. And in reflecting on accomplishments, it generates a balance of satisfaction and incentive, of self reward without self delusion. In order to fulfill these various functions, it seems that self-assessment must be effectively enacted in three forms: summatively, predictively, and concurrently. Enacting self-assessment summatively, a professional must reflect on completed performances both for the purposes of assessing the specific performance and for the purposes of assessing his abilities generally. When evaluating performance on a particular task, the professional can often assess the overall quality of the completed job as a question that may come in various forms. That is, the individual might ask how good this performance was relative to what she could have done; relative to what her peers might typically do; relative to the best that could have been done (a gold standard); or relative to some minimally acceptable standard. 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