Results 71 to 80 of about 74,071 (357)
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source
Eredményesség felsőfokon, avagy a siker titka. Pusztai Gabriella és Kovács Klára (szerk. 2015): Ki eredményes a felsőoktatásban? (recenzió) [PDF]
In 2017, a number of research and development initiatives have been launched to reduce drop-out in public as well as in higher education. Educational researchers strive to explore the social and organizational factors that may play a role in student ...
Csók Cintia
doaj
KIDS COUNT Indicator Brief: Reducing the High School Dropout Rate [PDF]
Outlines the economic costs of dropping out of high school and proposes dropout prevention strategies, such as taking a long-term approach starting with school readiness, enhancing schools' holding power, and addressing outside factors and at-risk ...
Barbara Shore, Rima Shore
core
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
ENHANCED PREDICTION OF STUDENT DROPOUTS USING FUZZY INFERENCE SYSTEM AND LOGISTIC REGRESSION [PDF]
Predicting college and school dropouts is a major problem in educational system and has complicated challenge due to data imbalance and multi dimensionality, which can affect the low performance of students.
A. Saranya, J. Rajeswari
doaj
Dropped-out Students and the Decision to Drop-out in Hungary
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
doaj +1 more source
Dropout Prediction by Interpretable Machine Learning Model Towards Preventing Student Dropout
In the education industry, the needs of online learning are significantly increasing. However, the web-based courses demonstrate higher dropout rates than traditional education courses. As a result, engaging students with data analysis is getting more crucial especially for distance learning.
Miki Katsuragi, Kenji Tanaka
openaire +1 more source
Intelligent System to Predict University Students Dropout
The objective of this research is to reduce the dropout rate of students in the Faculty of Systems Engineering and Informatics of the Universidad Nacional Mayor de San Marcos – FISI-UNMSM, through the implementation of an intelligent system with a data mining approach and the autonomous learning algorithm (decision trees) that predicts which students ...
Hugo Vega Huerta +4 more
openaire +1 more source
Getting Honest About Grad Rates: How States Play the Numbers and Students Lose [PDF]
This report sharply criticizes the way states calculate and report graduation statistics. The analysis also rebukes the U.S. Department of Education for failing to exert leadership by demanding that states get honest about graduation rates.
Daria Hall
core
A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +1 more source

