Education and Learning Technologies
Gestational diabetes is a type of high blood sugar that develops during pregnancy. It can occur at any stage of pregnancy and cause problems for both the mother and the baby, during and after birth. The risks can be reduced if they are early detected and managed, especially in areas where only periodic tests of pregnant women are available. Intelligent systems designed by machine learning algorithms are remodelling all fields of our lives, including the healthcare system. This study proposes a combined prediction model to diagnose gestational diabetes.
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3581 Views
This is a compiled list of papers by German researchers on educational topics. The list comprises titles, publication titles, authors, and affiliations. The list is stored in an excel file with various sheets dealing with inputs such as authors, topics, affiliations, and displaying various graphs.
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101 Views
Dataset for Relationship between Usability, Academic Performance, and Emotions Experienced in Learning. Augmented Reality and Education in Electronics.
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200 Views
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105 Views
This dataset contains the experiment results for the article named "Influence of Gamification Elements on Explicit Motive Dispositions"
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102 Views
Fast traslate Icon translate Fast traslate Icon translate Because this instructional material will be used for teaching in some way, Youtube will be used because it offers authentic and can allow learners to review and rebuild concepts for national sustainable education with a humanistic national standard. Students will be able to understand further educational programs, essential thinking systems, and standards aspects by watching the video transcriptions in the table below.
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118 Views
This dataset analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast which information and communication technologies were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer science, etc.) and region.
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208 Views
This benchmark dataset accompanies an article paper titled ``Learning to Reuse Distractors to support Multiple Choice Question Generation in Education''. It contains a test of 298 educational questions covering multiple subjects & languages and a 77K multilingual pool of distractor vocabulary. The goal is for a given question to propose a list of relevant candidate distractors from the pool of distractors.
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320 Views
This paper presents the data that is used in the article entitled “Decoding contextual factors differentiating adolescents’ high, average and low digital reading performance through machine learning methods”, which investigated the key contextual factors that synergistically differentiate high and low performers, high and average performers, and low and average performers in digital reading, through the utilization of machine learning methods, namely, support vector machine (SVM) and SVM recursive feature elimination (SVM-RFE).
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183 Views
# 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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1167 Views