Results 11 to 20 of about 63,859 (268)
Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision
Information, 2022 The use of artificial intelligence and machine learning techniques across all disciplines has exploded in the past few years, with the ever-growing size of data and the changing needs of higher education, such as digital education.
Hussan Munir +2 more
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Dropped-out Students and the Decision to Drop-out in Hungary
Central European Journal of Educational Research, 2019 The interpretation of the phenomenon of student dropout, which represents a waste of a relatively large proportion of human and material capital in the social, individual and institutional domain, is impossible without examining dropout students. In this
Gabriella Pusztai +3 more
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An analysis of the causes of Master's Thesis dropouts
WPOM : Working Papers on Operations Management, 2017 This paper addresses the reasons why a growing number of students are failing to complete their final master dissertations/thesis. It analyses the final Master's Course Thesis (TFM, Trabajo Fin de Máster) on the Masters in Advanced Business Management ...
Rafaela Alfalla Luque +4 more
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Perspectives in Clinical Research, 2020 Introduction: A key determinant of the success of any study is the recruitment and subsequent retention of participants. Screen failure and dropouts impact both the scientific validity and financial viability of any study.
Debdipta Bose +5 more
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International Journal of Circumpolar Health, 2023 The upper secondary school dropout rate is a challenge in many western countries, and measures have been taken to prevent dropout. The dropout rate in Norway is stable but is the highest in the northernmost counties.
Tone Aashild Dinesen +2 more
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McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
Frontiers in Genetics, 2019 Motivation: Single-cell RNA sequencing has been proved to be revolutionary for its potential of zooming into complex biological systems. Genome-wide expression analysis at single-cell resolution provides a window into dynamics of cellular phenotypes ...
Aanchal Mongia +3 more
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Student Dropout Prediction [PDF]
, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F. +3 more
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International Journal of Adolescence and Youth, 2023 Self-directed learning as a key component of lifelong learning has become increasingly important in a rapidly changing society. SDL competencies support continuous personal development and coping with change.
Kerli Kõiv, Katrin Saks
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CoRR, 2016 Deep Neural Networks often require good regularizers to generalize well. Dropout is one such regularizer that is widely used among Deep Learning practitioners. Recent work has shown that Dropout can also be viewed as performing Approximate Bayesian Inference over the network parameters.
Suraj Srinivas, R. Venkatesh Babu
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CoRR, 2017 Recurrent neural networks (RNNs) are important class of architectures among neural networks useful for language modeling and sequential prediction. However, optimizing RNNs is known to be harder compared to feed-forward neural networks. A number of techniques have been proposed in literature to address this problem.
Konrad Zolna +3 more
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