Education and Learning Technologies

This dataset includes AI questions, students' questions and their reading comprehension test results. It contains four sheets, including student and AI questions in treatement group, student questions in control group, student reading comprehension test results in treatment group and student reading comprehension test results in control group.
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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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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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Dataset for Relationship between Usability, Academic Performance, and Emotions Experienced in Learning. Augmented Reality and Education in Electronics.
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This dataset contains the experiment results for the article named "Influence of Gamification Elements on Explicit Motive Dispositions"
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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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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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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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