Education and Learning Technologies

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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113 Views

The acquisition of database knowledge is an essential component for those pursuing software engineering, computer science, or engaging in the IT field. Our research involved an in-depth analysis of a remote educational escape room designed specifically for teaching databases in various higher education courses over two consecutive academic years.

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89 Views

Thailand's national development relies on higher education, posing challenges for the government to enhance graduate competence. High dropout rates impact education quality and student welfare, necessitating a comprehensive study. This research collects a dataset on student dropout and utilizes classification models to predict dropout likelihood at Rajamangala University of Technology Thanyaburi (RMUTT), Thailand. The dataset includes 2,137 undergraduate students from 2013 to 2019 and follows the CRISP-DM model, utilizing internal data sources from ARIT.

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266 Views

This report presents an end-to-end methodology for collecting datasets to recognize handwritten English alphabets in the Indian context by utilizing Inertial Measurement Units (IMUs) and leveraging the diversity present in the Indian writing style. The IMUs are utilized to capture the dynamic movement patterns associated with handwriting, enabling more accurate recognition of alphabets. The Indian context introduces various challenges due to the heterogeneity in writing styles across different regions and languages.

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560 Views

Transparency, though a term that has been long-established in other older disciplines, remains an emerging concept that different stakeholders, including requirements engineers, developers, project managers, clients and end-users in information or software systems development must consider.

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240 Views

RMUTT-DLD is an aggregated collection of data that encompasses details derived from the IC3 digital literacy certification program conducted at Rajamangala University of Technology Thanyaburi (RMUTT) in Thailand spanning from 2016 to 2023. The expanded dataset includes demographic details, academic records, and certification results, offering a holistic perspective on the progression of students' digital literacy over a period of time. The dataset has the flexibility to be imported into diverse applications, enabling its utilization for various purposes.

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290 Views

Sign language correctness discrimination (SLCD) dataset is collected for sign language teaching. Different from general sign language recognition datasets, SLCD dataset has two kind labels of sign language category and standardization category at the same time. The standardization category is to describe action correctness of the same sign language made by students. The SLCD dataset videos in this paper are obtained by camera. 76 students are recruited to collect sign language actions.

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395 Views

This data collection focuses on capturing user-generated content from the popular social network Reddit during the year 2023. This dataset comprises 29 user-friendly CSV files collected from Reddit, containing textual data associated with various emotions and related concepts.

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1546 Views

Neuroimaging methods play an important role in presurgical examinations and localization of epileptogenic lesion. Magnetic resonance imaging (MRI) is a neuroimaging technique that is essential to detect structurally abnormal tissue and thus delineate the epileptogenic lesion. Magnetic resonance imaging (MRI) provides structural data and can reveal underlying epileptogenic lesions (T1, T2, FLAIR).

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367 Views

The SNNUMlog is the learning context data, which around 50 volunteers collected. It includes the learner name, nine learning contexts, learner arrival time, learner floor, learner longitude, learner latitude, learner altitude, collection device, weather type, and sensor data related to 73 types. Learning contexts in the mobile learning context dataset involve nine common learning contexts in the university campus, namely: classroom, laboratory, dormitory, library, canteen, gymnasium, outdoors, supermarket, and stadium.

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37 Views

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