PENINGKATAN MOTIVASI DAN HASIL BELAJAR IPA FISIKA MELALUI PENERAPAN METODEEKSPOSITORI DAN TEKNIK DRILL KELAS XI-TBSM SMK NEGERI 1 NARMADA KABUPATEN LOMBOK BARAT TAHUN PELAJARAN 2018-2019

ABSTRAKFaktor-faktor yang mempengaruhi belajar dapat memberikan dukungan yang positif dalam belajar, namun dapat juga menghambat proses belajar. Hambatan-hambatan yang terjadi berakibat pada hasil belajar individu yang mengalami proses belajar tidak sesuai dengan yang diinginkannya. Keadaan-keadaan tersebut berdampak pada timbulnya masalah pada proses belajar selanjutnya. Motivasi belajar siswa yang rendah akan menjadi hambatan yang sangat berarti pada proses pembelajaran, karena dapat mengakibatkan prestasi belajar siswa rendah. Oleh karena itu guru diharapkan dapat meningkatkan motivasi belajar siswa untuk meningkatkan prestasi belajar siswa. Rendahnya motivasi dan hasil belajar siswa disebabkan siswa kurang diberikan kesempatan untuk bertanya dan menyampaikan pendapat. Metode pembelajaran ekspositori dan teknik drill dipercaya dapat menigkatkan motivasi belajarsehingga diharapkan dapat meningkatkan kegiatan belajar IPA Fisika untuk memperbaiki hasil belajar selanjutnya. Karena metode ekspositori dan teknik drill memberikan kesempatan peserta didik untuk lebih aktif. Oleh karena itu penulis perlu melakukan penelitian Tindakan dengan judul Peningkatan Motivasi dan Hasil Belajar IPA Fisika Melalui Penerapan MetodeEkspositori dan Teknik Drill Kelas XI-TBSM SMK Negeri 1 Narmada Kab. Lombok Barat Tahun pelajaran 2018-2019. Kata Kunci: ekspositori; drill; motivasibelajar; hasil belajar. ABSTRACTFactors that influence learning can provide positive support in learning, but can also hinder the learning process. The obstacles that occur result in the learning outcomes of individuals who experience the learning process not in accordance with what they want. These circumstances have an impact on the emergence of problems in the subsequent learning process. Low student motivation will be a very significant obstacle in the learning process, because it can result in low student achievement. Therefore, teachers are expected to increase students' learning motivation to improve student achievement. The low motivation and student learning outcomes are caused by the lack of opportunities for students to ask questions and express opinions. Expository learning methods and drill techniques are believed to increase learning motivation so that it is expected to increase Physics Science learning activities to improve subsequent learning outcomes. Because the expository method and drill technique provide opportunities for students to be more active. Therefore, the authors need to conduct action research with the title Improving Motivation and Learning Outcomes of Physics Sciences Through the Application of Expository Methods and Drill Techniques for Class XI-TBSM SMK Negeri 1 Narmada2018-2019 Academic year. Keywords: expository; drill; learning motivation; learning outcomes.

Does Coaching in the 3rd Year of Medical School Affect Stress, Anxiety and Depression?

Background: Medical students experience significant stress and anxiety during undergraduate education. Coaching is a possible way of supporting these students throughout this challenging time. To assess the benefits of coaching for medical students, a pilot study providing coaching was performed. This pilot assessed how coaching affected the mental health of medical students and how coaching was received by them. Methods: Twelve third-year medical students were each given eight 30-60 minute coaching sessions. Each participant took the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS) pre-, mid-and post-coaching. After coaching, there were three open-ended questions to measure the reactions to coaching and a scale to determine the likelihood of accessing coaching in the future. Results: There was a significant effect of coaching on perceived stress(p=.023); a trend toward significant effect of coaching on anxiety(p=.057); and no effect of coaching on depression. Qualitative analysis indicated Affective responses (gaining perspective and self-awareness); Cognitive responses (goal setting and working through solving problems); and Skills responses (developing reflection abilities and critical thinking). Attributes of coaching included perceiving coaching as a positive, individualized and supportive experience that students were highly likely to access again. Conclusions: Coaching holds promise as an intervention offered to medical students to reduce stress and anxiety, and provide positive support for students, preparing them for their professional futures.

Social Determinants Associated with Physical Activity among Indigenous Adults at the University of Saskatchewan

Colonization impacts Indigenous Peoples’ way of life, culture, language, community structure and social networks. Links between social determinants of health and physical activity (PA) among Indigenous Peoples in Saskatchewan, with 16% Indigenous residents, are unclear. This cross-sectional study guided by Indigenous Community Advisors, compared moderate-to-vigorous PA (MVPA), traditional Indigenous PA and musculoskeletal PA with social determinants of Indigenous, (n=124), including First Nations (n=80, including 57 Cree/Nehiyawak) and Métis (n=41), adults in Saskatchewan. Participants completed Godin-Shephard Leisure-Time PA, Social Support Index and traditional Indigenous PA participation questionnaires. Regression associated positive perception of social support with MVPA (R=0.306, p=0.02), while residential school experiences (R=0.338, p=0.02) and community support (R=0.412, p=0.01) were associated with traditional Indigenous PA participation. Among Métis, discrimination experiences were associated with traditional Indigenous PA participation (R=0.459, p=0.01). Traditional Indigenous PA participation was associated with community support among First Nations (R=0.263, p=0.04), and also foster care placement (R=0.480, p=0.01) for Cree/Nehiyawak First Nations specifically. Among Cree/Nehiyawak, family support (R=0.354, p=0.04), discrimination experiences (R=0.531, p=0.01) and positive perceptions of support (R=0.610, p=0.003) were associated with musculoskeletal PA. Greater community, family and perceived social support, and experiences of discrimination, residential school and foster care are associated with more PA for Indigenous Peoples. Novelty: • Positive support perceptions predict physical activity among Indigenous Peoples • Family support, discrimination experiences and positive support perceptions predict physical activity for Cree/Nehiyawak First Nations. Traditional physical activity was predicted by residential school experiences and community support (Indigenous Peoples), discrimination experiences (Métis), community support (First Nations), and foster care experiences (Cree/Nehiyawak)

New Regression Models Based on the Unit-Sinh-Normal Distribution: Properties, Inference, and Applications

In this paper, two new distributions were introduced to model unimodal and/or bimodal data. The first distribution, which was obtained by applying a simple transformation to a unit-Birnbaum–Saunders random variable, is useful for modeling data with positive support, while the second is appropriate for fitting data on the (0,1) interval. Extensions to regression models were also studied in this work, and statistical inference was performed from a classical perspective by using the maximum likelihood method. A small simulation study is presented to evaluate the benefits of the maximum likelihood estimates of the parameters. Finally, two applications to real data sets are reported to illustrate the developed methodology.

Survival and Reliability Analysis with an Epsilon-Positive Family of Distributions with Applications

We introduce a new class of distributions called the epsilon–positive family, which can be viewed as generalization of the distributions with positive support. The construction of the epsilon–positive family is motivated by the ideas behind the generation of skew distributions using symmetric kernels. This new class of distributions has as special cases the exponential, Weibull, log–normal, log–logistic and gamma distributions, and it provides an alternative for analyzing reliability and survival data. An interesting feature of the epsilon–positive family is that it can viewed as a finite scale mixture of positive distributions, facilitating the derivation and implementation of EM–type algorithms to obtain maximum likelihood estimates (MLE) with (un)censored data. We illustrate the flexibility of this family to analyze censored and uncensored data using two real examples. One of them was previously discussed in the literature; the second one consists of a new application to model recidivism data of a group of inmates released from the Chilean prisons during 2007. The results show that this new family of distributions has a better performance fitting the data than some common alternatives such as the exponential distribution.

A Bimodal Extension of the Exponential Distribution with Applications in Risk Theory

There are some generalizations of the classical exponential distribution in the statistical literature that have proven to be helpful in numerous scenarios. Some of these distributions are the families of distributions that were proposed by Marshall and Olkin and Gupta. The disadvantage of these models is the impossibility of fitting data of a bimodal nature of incorporating covariates in the model in a simple way. Some empirical datasets with positive support, such as losses in insurance portfolios, show an excess of zero values and bimodality. For these cases, classical distributions, such as exponential, gamma, Weibull, or inverse Gaussian, to name a few, are unable to explain data of this nature. This paper attempts to fill this gap in the literature by introducing a family of distributions that can be unimodal or bimodal and nests the exponential distribution. Some of its more relevant properties, including moments, kurtosis, Fisher’s asymmetric coefficient, and several estimation methods, are illustrated. Different results that are related to finance and insurance, such as hazard rate function, limited expected value, and the integrated tail distribution, among other measures, are derived. Because of the simplicity of the mean of this distribution, a regression model is also derived. Finally, examples that are based on actuarial data are used to compare this new family with the exponential distribution.