Education and Learning Technologies
To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353
Please cite the following paper when using this dataset:
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The dataset is collected to find the requirement of industry based skillset in the higher education system in order to meet industry demands, involving people from multiple tier institutions(premium institutions Government institutions, local universities), academia and the industry. Many a times there is a big difference in the quality of education provided across the different categories of universities. Hence it was imperative understand the skillsets of students and the industry expectations.
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The UNISTUDIUM dataset contains the logs collected by Unistudium, the University of Perugia elearning platform based on moodle, a open source software for learning management systems (https://moodle.org).
The collected logs record interactions with the platform of students attending 4 courses during the time period of one semester, from 1st September to 31st December.
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To download the dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13738598
Please cite the following paper when using this dataset:
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This csv provides the following:
- NeighbourNrInfo which indicates the RSSI recevied from the UE of the 5G stations (AP) 50, 51 or 52.
- RttInfo which indicates the RSSI recevied from the UE of the routers (AP) '3c:28:6d:b2:e2:0b', '3c:28:6d:b2:c9:1f' or '08:b4:b1:70:47:df'
- groundTruth indicates the position of the UE in that case
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This dataset contains 570 JPEG images of electricity meters taken from varied locations within the IIT BHU campus, including the GTFRC and residential apartments. It showcases a broad range of real-world scenarios, with each image demonstrating different challenges such as varying lighting conditions, levels of focus and clarity, and a wide range of capture angles. These attributes test and enhance the robustness of technologies designed to interpret meter readings from photographs under diverse conditions.
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Expert opinions were gathered using an online survey conducted through Microsoft Forms to assess the relative importance of various factors in a welding and operational efficiency context. The factors evaluated included Labor Efficiency (LE), Operational Efficiency (OE), job weight, weld volume, and skill level. Participants were asked to compare these factors in terms of their importance relative to each other.
Key findings from the survey indicated the following:
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This paper investigates the use of human-AI interaction in Chinese poetry education. Our work begins with semi-structured interviews with students, teachers, and AI experts to analyze the current difficulties in poetry education and highlight the application of AI in multimodal learning. Then, we design POEMaster, an AI-assisted interactive prototyping system that guides students in learning Chinese poetry. A between-subjects user study was conducted to examine the learning outcomes of POEMaster.
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This dataset contains complete information of the papers which are published in the area of Post Qunatum Cryptography (PQC). This dataset has been used to do the bibliometric analysis on the PQC feild to get the complere analysis results on that feild. This dataset has been downloaded fromt the Scopus database using Query related to the analysis work.
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The dataset was gathered from a virtual learning environment course at Constantine the Philosopher University in Nitra. It includes online activity logs of 152 university students enrolled in a blended Computer Science course during the winter semester from September 25, 2023, to December 21, 2023. This course combined traditional lectures and lab sessions with online interactions and digital access to course materials via the Learning Management System Moodle platform.
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