Education and Learning Technologies
The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.
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Technology`s rapid growth has revolutionized education, inspiring teachers to integrate it into both pedagogical and andragogical approaches.
In order to maintain educational continuity, the pandemic pushed educational institutions and schools all over the world to immediately adopt remote learning and apply numerous digital tools and technology.
Technology has made communication and cooperation between students, instructors, and parents straightforward.
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Abstract— Spacesuits are essential for ensuring the safety and functionality of astronauts during space missions. However, they can introduce challenges such as sensory deprivation, reduced dexterity, and lower cognitive performance, which can increase the risk of error. In our previous research, we have shown that adding sound transparency to a suit improves cognitive scores with the block design task. Building upon these findings, here we evaluate use of electro haptics feedback in place of traditional haptics.
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Gamification is a rapidly evolving field that seeks to integrate game mechanics and elements into non-game contexts to enhance the learning experience of computer science students.
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RITA (Resource for Italian Tests Assessment), is a new NLP dataset of academic exam texts written in Italian by second-language learners for obtaining the CEFR certification of proficiency level.
RITA dataset is available for automatic processing in CSV and XML format, under an agreement of citation.
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Using the method of step-by-step inquiry, the prompt command components of each teaching link are constructed, and the teaching plan content is generated by combining zero sample and few sample prompt.mong them, in the teaching analysis part, the prompt command of teaching objectives adds the examples of core literacy and teaching objectives, and combines teaching key points and teaching difficulties into one inquiry. In the teaching process, each link will add the knowledge point of this lesson, the output format and the prompt instruction of the previous link.
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We discuss the use of multi-rate FIR filters in radio frequency (RF) transient spectroscopy as well as the implementation challenges these multi-rate filters face when used in this application to reduce the sampling rate (decimation) and raise the sampling rate (interpolation). On a Texas Instruments TMS320-C30 DSP processor, all implementation measurements given here were carried out.
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