Pengembangan Perangkat Pembelajaran Geometri Transformasi Berbantuan Geogebra untuk Peningkatan Pembelajaran Matematika Kota Bengkulu

Pengembangan perangkat pembelajaran geometri transformasi berbantuan geogebra bertujuan untuk membekali para guru matematika SMA/MA Kota Bengkulu dalam menghadapi pembelajaran abad 21. Kegiatan pengabdian pada masyarakat telah dilaksanakan secara tatap muka di SMA IT IQRA Kota Bengkulu pada tanggal 21 Mei 2023  yang diikuti oleh 30 peserta dan dilanjutkan secara mandiri sampai tuntas. Kegiatan ini melibatkan beberapa mahasiswa yang menguasai program aplikasi geogebra. Peserta diminta menjawab Lembar Kerja Peserta Didik (LKPD) yang terdapat pada buku penuntun dan mengisi angket respon berupa skala Likert. Angket respon yang dikembalikan peserta berjumlah 30 angket. Setelah data diolah didapat kesimpulan bahwa  ada 72.78% peserta menyatakan sangat setuju dengan pelaksanaan kegiatan PPM tersebut. Hasil uji coba penerapan Lembar Kerja Peserta Didik (LKPD) yang dilakukan oleh seorang Guru Matematika SMAN 1 Lebong di kelas XI Jurusan Multimedia diperoleh nilai rata-rata respon siswa  78.26 masuk kategori baik.Pengembangan perangkat pembelajaran geometri transformasi berbantuan geogebra bertujuan untuk membekali para guru matematika SMA/MA Kota Bengkulu dalam menghadapi pembelajaran abad 21. Kegiatan pengabdian pada masyarakat telah dilaksanakan secara tatap muka di SMA IT IQRA Kota Bengkulu pada tanggal 21 Mei 2023  yang diikuti oleh 30 peserta dan dilanjutkan secara mandiri sampai tuntas. Kegiatan ini melibatkan beberapa mahasiswa yang menguasai program aplikasi geogebra. Peserta diminta menjawab Lembar Kerja Peserta Didik (LKPD) yang terdapat pada buku penuntun dan mengisi angket respon berupa skala Likert. Angket respon yang dikembalikan peserta berjumlah 30 angket. Setelah data diolah didapat kesimpulan bahwa  ada 72.78% peserta menyatakan sangat setuju dengan pelaksanaan kegiatan PPM tersebut. Hasil uji coba penerapan Lembar Kerja Peserta Didik (LKPD) yang dilakukan oleh seorang Guru Matematika SMAN 1 Lebong di kelas XI Jurusan Multimedia diperoleh nilai rata-rata respon siswa  78.26 masuk kategori baik

Just how difficult can it be counting up R&D funding for emerging technologies (and is tech mining with proxy measures going to be any better?)

Decision makers considering policy or strategy related to the development of emerging technologies expect high quality data on the support for different technological options. A natural starting point would be R&D funding statistics. This paper explores the limitations of such aggregated data in relation to the substance and quantification of funding for emerging technologies. Using biotechnology as an illustrative case, we test the utility of a novel taxonomy to demonstrate the endemic weaknesses in the availability and quality of data from public and private sources. Using the same taxonomy, we consider the extent to which tech-mining presents an alternative, or potentially complementary, way to determine support for emerging technologies using proxy measures such as patents and scientific publications

Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence

I present a framework based on the concepts of diversity and coherence for the analysis of knowledge integration and diffusion. Visualisations that help understand insights gained are also introduced. The key novelty offered by this framework compared to previous approaches is the inclusion of cognitive distance (or proximity) between the categories that characterise the body of knowledge under study. I briefly discuss the different methods to map the cognitive dimension

Mapping Patent Classifications: Portfolio and Statistical Analysis, and the Comparison of Strengths and Weaknesses

The Cooperative Patent Classifications (CPC) jointly developed by the European and US Patent Offices provide a new basis for mapping and portfolio analysis. This update provides an occasion for rethinking the parameter choices. The new maps are significantly different from previous ones, although this may not always be obvious on visual inspection. Since these maps are statistical constructs based on index terms, their quality--as different from utility--can only be controlled discursively. We provide nested maps online and a routine for portfolio overlays and further statistical analysis. We add a new tool for "difference maps" which is illustrated by comparing the portfolios of patents granted to Novartis and MSD in 2016.Comment: Scientometrics 112(3) (2017) 1573-1591; http://link.springer.com/article/10.1007/s11192-017-2449-

Exports and Productivity: Comparable Evidence for 14 Countries

We use comparable micro level panel data for 14 countries and a set of identically specified empirical models to investigate the relationship between exports and productivity. Our overall results are in line with the big picture that is by now familiar from the literature: Exporters are more productive than non-exporters when observed and unobserved heterogeneity are controlled for, and these exporter productivity premia tend to increase with the share of exports in total sales; there is strong evidence in favour of self-selection of more productive firms into export markets, but nearly no evidence in favour of the learning-by-exporting hypothesis. We document that the exporter premia differ considerably across countries in identically specified empirical models. In a meta-analysis of our results we find that countries that are more open and have more effective government report higher productivity premia. However, the level of development per se does not appear to be an explanation for the observed cross-country differences.exports; productivity; micro data; international comparison