Results 71 to 80 of about 70,487 (294)

Getting Honest About Grad Rates: How States Play the Numbers and Students Lose [PDF]

open access: yes, 2005
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  

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

open access: yesAdvanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu   +10 more
wiley   +1 more source

Eredményesség felsőfokon, avagy a siker titka. Pusztai Gabriella és Kovács Klára (szerk. 2015): Ki eredményes a felsőoktatásban? (recenzió) [PDF]

open access: yesPedActa, 2017
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  

Dropped-out Students and the Decision to Drop-out in Hungary

open access: yesCentral 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
doaj   +1 more source

The High Cost of Wisconsin's Dropout Rate [PDF]

open access: yes, 2009
Outlines the scope of the high school dropout problem in Wisconsin and dropouts' risk of unemployment, health problems, and incarceration. Estimates costs to the state through reduced tax revenues, increased Medicaid costs, and high incarceration ...
Emily Anne House
core  

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

A novel AI-driven model for student dropout risk analysis with explainable AI insights

open access: yesComputers and Education: Artificial Intelligence
The increasing number of students dropping out of school due to social, economic, personal (e.g., depression or persistent failure), and health issues is a growing concern for governments, educators, and guardians.
Sumaya Mustofa   +4 more
doaj   +1 more source

Effectiveness of the settings-based intervention Shaping the Social on preventing dropout from vocational education: a Danish non-randomized controlled trial

open access: yesBMC Psychology, 2018
Background Lack of formal education is an important social determinant of health inequality and represents a public health problem. School dropout is particularly common in vocational education; however few prevention programs targeting dropout in the ...
Susan Andersen   +5 more
doaj   +1 more source

Forgotten Youth: Re-Engaging Students Through Dropout Recovery [PDF]

open access: yes, 2012
Each year, thousands of Massachusetts students drop out of school. The path forward for these students is difficult, and failing to fully educate the next generation of workers and leaders has substantial long-term consequences for our shared economic ...

core  

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

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