Education and Learning Technologies

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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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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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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1960 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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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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38 Views

SCD Dataset: This new dataset has been specifically created for the development and education of children with down syndrome. The dataset, containing a total of 13,500 Turkish question-answer pairs, has "positive" and "negative" emotion labels. In the context of human-robot interaction, accurately identifying and addressing positive and negative emotions has a significant impact on user experience and satisfaction. Neutral questions and answers provide less information in terms of sentiment analysis and are less relevant to the purpose of this study.

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388 Views

In recent years, teaching-learning methods have emerged into a completely new dimension from what used to be a traditional approach. The in-person lectures have been converted into online virtual learning, the traditional record-keeping has been replaced by robust learning management systems which have made the teaching-learning process lot more efficient and convenient.

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219 Views

This dataset collects the analysis results that are presented in the paper: "GRASPA-fying the Panda: Easily Deployable, Fully Reproducible Benchmarking of Grasp Planning Algorithms" 

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This study utilizes a bibliometric analysis to explore the research landscape of student attrition within the computer sciences (CS) field. As a widely-adopted technique for evaluating published scientific articles, bibliometric analysis proves invaluable in examining vast and growing research streams. By applying this method, the study uncovers key patterns, trends, and insights in the student attrition literature, offering a comprehensive understanding of the factors influencing retention in CS and informing future research and interventions in the domain.

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118 Views

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