Education and Learning Technologies
# Student Test Results Prediction based on Learning Behavior: Learning Beyond Tests
Dataset Part A: The Goal is to predict Test Results, in the form of averaged correctness, averaged timespent in the test, based only on the learning history (learning behavior records)
Dataset Part B: The objective is to predict the last test results, points and scores, based on the learning behavior records and the first test results.
# About the dataset
The raw data is provided by ALIN.ai where a large number of students participated in math learning and tests, online.
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1252 Views
This dataset includes the experience integrating Didactic Videos within "Electrical Machines I" subject (BSc in Electrical Engineering from the School of Industrial, Aerospace and Audiovisual Engineering of Terrassa (ESEIAAT), Universitat Politècnica de Catalunya (UPC)).
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186 Views
Mixed Reality (MR) technologies and the spread of Head-Mounted Displays (HMDs) available at low cost are causing a shift in design education toward the Metaverse. In this digital transformation scenario, there is a need to rethink design and teaching methods. The scientific literature only provides contributions related to interaction design labs that do not include MR education. This paper presents an innovative lab with an integrated multidisciplinary approach that aims to teach students to design the next generation of MR interfaces.
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32 Views
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This article was results based on the interview phase in the English language
course of even semester [the academic year 2021-2022] Institut Agama Kristen
Negeri Ambon. The majority concern is how the students of English courses respond
during even semester conducted. Moreover, only a few students are encouraged to
finish their course with moderate achievement, and half of the students are stated on
lower achievement following unconscious narration to be absent during English
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215 Views
This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.
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8679 Views
Our poster is essential for understanding the process of creating a community of practice in the context of Open Science. Building such a community and at the same time being part of the culture change that offers openness in science is challenging. No single researcher or librarian would be able to achieve those results alone. Gdańsk Tech Library’s strategy to popularise and practice Open Science requires many actions supported by a team of people with different competencies
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11 Views
Please cite the following paper when using this dataset:
N. Thakur, “A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave,” Journal of Data, vol. 7, no. 8, p. 109, Aug. 2022, doi: 10.3390/data7080109
Abstract
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988 Views
We developed an online serious game to educate adolescents regarding human impact on freshwater ecosystems. Here, we provide the Unity codes for building the game. We also provide a data set containing survey responses of middle school students who participated in a study that assesses the effectiveness of the game, along with MatLab and R codes that analyze these data.
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138 Views
The data part is the beneficial supplementary part of the article of Complex Theory and Batch Processing in Mechanical Systemic Data Extraction. It is including 2 parts. One is the about the original designed period. Another is the experimental data from 9 virtual experiments. It serves for the higher efficiency of ABRF.
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103 Views
PopMedNet™ is an open-source application used to facilitate multi-site health data networks. It uses a distributed network design that enables data holders to retain full control of their data. Investigators send questions to data holders for review and response. PopMedNet eliminates the need for assembling patient records in a centralized repository, thus preserving patient privacy and confidentiality.
This Dataset contains sample data using the PCORnet Common Data Model for running the regression tests supplied with PopMedNet™.
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435 Views