1,720,954 research outputs found
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS GOOGLE SITES PADA MATERI BENZENA DAN TURUNANNYA DENGAN PENDEKATAN MULTIPEL REPRESENTASI
Tren digitalisasi di bidang pendidikan menjadi semakin populer selama pandemi COVID-19 karena pembelajaran jarak jauh yang dilakukan secara daring menjadi kebutuhan. Google Sites menjadi solusi untuk membangun pengalaman belajar yang menakjubkan bagi peserta didik dengan pengaturan desain yang menarik dan dapat ditautkan dengan berbagai media seperti gambar, video, animasi bahkan simulasi. Materi benzena dan turunannya membutuhkan kemampuan representasi kimia yang baik karena kompleksitas struktur dan mekanisme reaksi yang terkandung dalam materi tersebut. Penelitian ini bertujuan untuk menganalisis karakteristik media pembelajaran berbasis Google Sites pada materi benzena dan turunannya dengan pendekatan multipel representasi. Penelitian ini menggunakan metode penelitian dan pengembangan (Research and Development/R&D) dengan model pengembangan ADDIE, yaitu analysis, design, development, implementation, dan evaluation. Namun, model pengembangan ADDIE yang dilakukan pada penelitian ini hanya dilakukan hingga tahap pengembangan (development). Media pembelajaran yang dikembangkan terdiri dari beberapa fitur, seperti materi pembelajaran, simulasi 3D molekul, video, dan tes evaluasi. Penggunaan multipel representasi pada media pembelajaran bertujuan untuk membantu peserta didik dalam memahami konsep dan keterampilan kimia dengan cara yang lebih mudah dan menarik. Hasil penelitian menunjukkan bahwa media pembelajaran berbasis Google Sites pada materi benzena dan turunannya dengan pendekatan multipel representasi layak digunakan dalam pembelajaran. Validasi ahli materi dan ahli media menunjukkan hasil sangat baik dengan persentase berturut-turut sebesar 95,8% dan 92,5%. Penilaian kualitas produk oleh pendidik SMA/MA dan hasil respon peserta didik menunjukkan bahwa kualitas modul yang dikembangkan termasuk dalam kategori sangat baik dengan persentase berturut-turut sebesar 95% dan 95%
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Development of Google Sites-based Multiple Representations Learning Media on Benzene and Its Derivatives Topic
COVID-19 pandemic accelerated the transformation of education and forced the digitalization of education to create effective learning. The understanding of complex chemical structures and reactions holds great significance in the realm of chemistry education. Benzene and its derivatives are particularly challenging topics that require a robust representation approach. The research aims to develop and assess the feasibility of Google Sites-based multiple representations learning media on benzene and its derivatives material. The research utilized the Research and Development (R&D) approach, adhering to the ADDIE (analysis, design, development, implementation, and evaluation) development model. The research was carried out until the development stage. The developed learning media effectively integrated three levels of chemical representation for benzene and its derivatives, utilizing various features such as text, animation, video, 3D molecular simulation, and images. The validation conducted by content and media experts indicated that the learning media is valid with scores of 95.8% and 92.5%, respectively, with excellent category. Furthermore, the product quality assessment conducted by experts and students' responses showed that media could be used practically, with percentages of 95% and 95% as excellent categories. These findings confirm the suitability of the developed learning media for facilitating students' understanding of benzene and its derivatives during the learning process
Variations on the Author
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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