67 research outputs found

    FeTeMM Eğitimi ve Alan Öğretmeni Eğitimine Yansımaları

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    Reforms in education of Science, Technology, Engineering, and Mathematics (STEM) disciplines have been particularly critical for the economic competitiveness of Turkey. There has been some criticism of the reforms at the teacher education level, claiming that Turkish teachers were not prepared to address the needs of their profession. The authors of this article introduced the STEM education model, which was designed with a critical investigation of the previous research on curriculum integration, STEM education, teaching knowledge, and Turkish educational reforms. By focusing on the interaction of mathematics and science, the model emphasized the importance of integrated teaching knowledge to successfully transition from the departmentalized model of teaching to an integrated model that promotes innovation.Fen, Teknoloji, Mühendislik ve Matematik (FeTeMM) ülkemizin uluslararası ölçekte rekabet gücünün korunabilmesi için stratejik öneme sahiptir. Bu alanlarda uzmanlaşacak insan gücünü yetiştirmesi beklenen öğretmenlerimizin çağın gereklerine uygun şekilde eğitilmedikleri konusunda yoğun eleştiriler vardır. Bu makale ile FeTeMM eğitiminin kuramsal bir çerçeve etrafında tanıtılması amaçlanmıştır. Bu amaca yönelik olarak bütünleşik müfredat ve öğretmenlik bilgisi alanlarında ülkemizde ve dünyada yapılmış araştırmalar ile süregelen eğitim reform girişimleri incelenmiştir. Kavramlaştırılan modelin bir çıktısı olan fen ve matematik arasındaki etkileşime yoğunlaşıldığında, öğretmenlerimizin sadece uzman oldukları alanda öğretmenlik bilgisine sahip olmalarının ülkemizin ihtiyacı olan insan gücünü yetiştirmede yeterli olmayacağı sonucuna varılmıştır

    Explicating the Characteristics of STEM Teaching and Learning: A Metasynthesis

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    This metasynthesis focused on STEM teaching and learning practices in middle and high school classrooms and in informal settings. Research artifacts between 2005 and 2012 were examined. Fifty-eight unique artifacts were classified into four categories: reform-based teaching and learning, informal education, teacher factors, and technology use. Promising pedagogical reform-based practices included inquiry-based learning, engineering design, project-based learning, problem-based learning, and hands-on practices. The most common intervention identified was increasing teacher content knowledge. Even though STEM informal activities attempt to recruit underrepresented or low achieving students, the reality is that access to informal STEM activities is often based on students’ expressed high interest, prior academic achievement, teacher recommendation, time and travel availability and flexibility, and overall levels of ambition or motivation. Positive outcomes, due to technology, appeared to covary with other factors such as teacher content knowledge, the presence of campus support, or active engagement within a learning community

    From STEM to STEAM: Students’ Beliefs About the Use of Their Creativity

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    To be successful in a STEM career, not only STEM knowledge and skills but also creativity is required. Therefore, the arts have been integrated into STEM disciplines and subsequently designated as STEAM education (Sousa & Pilecki, 2013). One example of informal learning environments that STEAM education provided is a summer camp. In this study, middle and highs school students’ use of their creativity in the Project-based Learning (PBL) courses was examined to determine students’ belief about the use of the arts in STEM activities. The results showed that students believed that they used their creativity in eight of the nine classes

    Jack and Jill Went Up the Hill, but Jill Won Both Ways: The True Story about Differential Academic Achievement

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    This longitudinal study was designed to examine how science, technology, engineering, and mathematics (STEM) project-based learning (PBL) affected the success of high school women in comparison with high school men in mathematics and science, with English performance as a control. We analysed the four-year performance, course-taking, and retention of high school students (n = 186) in these three subjects in a school where STEM PBL was enacted. Students’ Texas state-mandated high-stakes test scores were collected. A repeated measures MANOVA was used for analysing changes in performance after infusing STEM PBL activities into their classes. The results indicated that there was a statistically significant change in scores for both men and women in mathematics and science; however, the attrition for women was much less than for men. We included implications for how to escalate women's performance and retention in STEM-based areas

    ELEMENTARY PRESERVICE TEACHERS’ KNOWLEDGE, PERCEPTIONS AND ATTITUDES TOWARDS FRACTIONS: A MIXED-ANALYSIS

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    Previous research has shown knowledge, perceptions, and attitudes are essential factors during mathematics classroom instruction. The current study examined the effects of a 3-week fraction instructional unit using concrete models, problem-solving, and problem-posing to improve elementary preservice teachers’ knowledge, perceptions and attitudes towards fractions. A quasi-experiment design was implemented to gather data via closed-ended, open-ended, and essay tasks from a convenience sampling of 71 female elementary preservice teachers during pre- and post-assessments. The study discovered that the select preservice teachers were weak in the content knowledge specifically on unit-whole, part-whole, equivalent area, arithmetic operations, and ordering fractional values. In contrast, the incorporation of concrete models, problem-solving and problem-posing was effective in improving the preservice teachers’ level of pedagogical content knowledge, perceptions and attitudes towards fractions. Implications of the results and suggestions are discussed

    Reflecting Back to Forge the Path Forward

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    The JUME editorial team provides an update of the journal\u27s health and progress during the 2021 calendar year and discusses coming changes and opportunities for growth

    The End or Beginning? Either Way, the Credits Are Not Rolling Yet!

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    (First paragraph) Thank you to all our reviewers, editorial board members, authors, and those who chose the Journal of Urban Mathematics Education (JUME) as their outlet of choice this past year. JUME has had many recent successes, and we in the editorial team plan to release the salient performance data for the journal. For JUME to advance its mission, we believe that accountability and transparency are essential. To this end, our readers will from now on receive an annual progress report about JUME in our first issue of each year

    The emergence of reciprocally beneficial cooperation

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    We offer a new and robust model of the emergence and persistence of cooperation when interactions are anonymous, the population is well-mixed, and evolution selects strategies according to material payoffs. The model has a Prisoner’s Dilemma structure, but with an outside option of non-participation. The payoff to mutual cooperation is stochastic; with positive probability, it exceeds that from cheating against a cooperator. Under mild conditions, mutually beneficial cooperation occurs in equilibrium. This is possible because the non-participation option holds down the equilibrium frequency of cheating. Dynamic properties of the model are investigated theoretically and through simulations based on replicator dynamics

    Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks

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    NASA’s Stardust mission utilized a sample collector composed of aerogel and aluminum foil to return cometary and interstellar particles to Earth. Analysis of the aluminum foil begins with locating craters produced by hypervelocity impacts of cometary and interstellar dust. Interstellar dust craters are typically less than one micrometer in size and are sparsely distributed, making them difficult to find. In this paper, we describe a convolutional neural network based on the VGG16 architecture that achieves high specificity and sensitivity in locating impact craters in the Stardust interstellar collector foils. We evaluate its implications for current and future analyses of Stardust sample
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