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    Pengembangan lembar kerja peserta didik berbasis search, solve, create, and share terintegrasi local wisdom untuk meningkatkan hasil belajar pada materi fenomena kuantum

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    Penelitian ini mengembangkan produk berupa Lembar Kerja Peserta Didik (LKPD) berbasis SSCS terintegrasi local wisdom pada materi fenomena kuantum yang layak digunakan untuk meningkatkan hasil belajar peserta didik. Penelitian ini termasuk dalam jenis penelitian Research and Development (R&D) yang dilakukan sampai tahap disseminate. Penelitian dilakukan pada skala kecil dan skala besar di SMA N 1 Kendal dengan menggunakan dua sampel yaitu kelas eksperimen diberikan LKPD berbasis SSCS terintegrasi local wisdom dan kelas kontrol menggunakan metode pembelajaran ceramah dan tanya jawab dengan bantuan buku paket perpustakaan. Subjek penelitian ini adalah peserta didik kelas XII MIPA SMA N 1 Kendal. Pengumpulan data dilakukan dengan menggunakan teknik wawancara, angket, tes, dan dokumentasi. Local wisdom yang dimasukkan dalam LKPD berbasis SSCS terintegrasi local wisdom adalah budaya dan adat yang dilakukan di Kabupaten Kendal. LKPD berbasis SSCS terintegrasi local wisdom dinyatakan valid oleh ahli materi dan ahli media dengan persentase masing-masing sebesar 95,12% dan 96,90% kategori sangat layak. Hal ini menunjukkan LKPD berbasis SSCS terintegrasi local wisdom pada materi fenomena kuantum layak digunakan untuk peserta didik kelas XII MIPA SMA N 1 Kendal. Peningkatan hasil belajar peserta didik pada kelas eksperimen setelah menggunakan LKPD berbasis SSCS teritegrasi local wisdom pada materi fenomena kuantum mendapatkan nilai N-Gain sebesar 0,64 dengan kategori sedang, sehingga pengembangan LKPD dikatakan efektif

    ANALYZING COMPUTATIONAL THINKING SKILLS USING THE RASCH MODEL ABOUT LEARNING ENVIRONMENT AND GENDER

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    This research analyzes Computational Thinking abilities using the Rasch model in Futuhiyyah High School students regarding sound waves regarding the learning environment and gender. This type of mixed methods research uses a concurrent embedded design. Data were analyzed using Wright maps and different measures assisted by Minister software. The Computational Thinking ability profile of the class: Only 7 out of 27 students had very high abilities. They exceeded the measured value of the decomposition indicator question which was the most difficult question, namely 4.46. Students\u27 Computational Thinking abilities in terms of the learning environment, 18.52% of students in boarding schools and 7.41% of non-cottage students were able to solve very difficult questions, namely decomposition indicators and algorithmic thinking by exceeding the respective indicator\u27s measure values of 4.10 and 4. 46. Students\u27 Computational Thinking ability in terms of gender, 7.41% of male students and 18.52% of female students were able to solve very difficult questions, namely indicators of decomposition and algorithmic thinking. The results of the different measures, boarding school students were higher in answering questions on indicators of abstraction, generalization, and decomposition, while non-residential students focused on evaluation indicators and algorithmic thinking. Male students were higher in answering questions on the indicators of abstraction, generalization, and algorithmic thinking, while female students were higher on the indicators of evaluation and algorithmic thinking

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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