Education and Learning Technologies
taken from a manta-ro experiment in five psychiatric patients after physical remediation, and the images were cut (documented by the Ethics Committee, WHO)
This dataset has sorted out formats that are suitable for classification and recognition using CNN.
By drawing a mandala pattern, participants can project their inner emotions, potential beliefs, and inner worlds
This is a magical adventure that crosses the boundaries of the mind. This article will delve into the background, methods, and possible interpretations of the projected test for Mandalay painting
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This dataset emerges from an educational experiment designed to evaluate the effectiveness of a Blockly-based tool in teaching Solidity, the predominant language for the creation of smart contracts on the Ethereum blockchain. Students from a Master's degree in Information Systems Engineering participated and used this tool with the aim of mitigating the learning curve of Solidity. The dataset includes metrics on student satisfaction with using the tool.
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Student learning willingness is the decisive factor for achieving the final learning outcomes in curriculum teaching. On the other hand, the final learning outcomes achieved by students in the curriculum are a true reflection of student learning willingness. This paper selects 6 types of theoretical teaching method data and 4 types of student engagement behavior data used in the teaching process of the "Computer Systems" course in the Software Engineering major of Information Engineering School in the academic years 2021, 2022, and 2023 as the basic data.
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This dataset contains the 100 level first semester results of 229 students in South East University in Nigeria. The average score for each student is computed based on 8 courses offered in that semester. The dataset contains both the CA and Exam scores respectively. The CA amd Exam score were subsequently conveerted to percentage
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This is the ASSISTment data that gathered in the school year 2009~2010. The skill builder data is provided.
Skill builder data is also called mastery learning data. This dataset is from skill builder (mastery learning) problem sets, in which a student is considered mastered a skill when meeting certain criterion (normally set to answered 3 questions correctly in a row), and no more questions will be given after mastery.
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An AI-based Ancient Hebrew Language Translator aims to revive Ancient Hebrew by constructing a comprehensive dataset with contemporary and ancient Hebrew samples. Seamless integration of the Google Vision API facilitates Optical Character Recognition (OCR) for image processing. The translation process initiates in English through the model, leading to a multilingual interface. This initiative represents a crucial step in preserving ancient languages in the digital age.
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The dataset collected for the whole Quran; 114 sura (6236 ayah) recited by 35 Reciters (approximately 218000 audio files), downloaded from this website https://www.a-quran.com/showthread.php?t=11017, the audio files downloaded in mp3 format, all the downloaded files based on the Hafs from A’asim narration, the dataset figure shows reciters names who participate in this dataset.
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With the development of recommender systems (RS), several promising systems
have emerged, such as context-aware RS, multi-criteria RS, and group RS. However, the
education domain may not benefit from these developments due to missing information, such
as contexts and multiple criteria, in educational data sets. In this paper, we announce and
release an open data set for educational recommender systems. This data set includes not
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Abstract: This paper explains a new interactive power meter achieved by TMS 320 a digital signal processing (DSP) technique that defines equation conditions. Q_x = √ { V_rms^2 ∑_(n=1)^∞〖( Qn Vn)^2 }〗 for the importance n harmonics. The definition of reactive current is useful because by reduces its value, while the maximum PF (power factor) can be obtained for non-genetic systems.
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