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Work based learning as a concept “under construction” : evidence from two internship schemes in Argentina
(Federal Institute for Vocational Education and Training, 2019)
With a background of a mainly school and university-based education system (only around 20% of students attend technical education), 1 Argentina has lately started to promote poli-cies that include work-based learning ...
A genetic algorithm based framework for software effort prediction
(2017)
Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ...
An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset
(2016-04)
The complexity of providing accurate software
effort prediction models is well known in the software industry. Several
prediction models have been proposed in the literature using different
techniques, with different ...
An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset
(2016-04)
The complexity of providing accurate software
effort prediction models is well known in the software industry. Several
prediction models have been proposed in the literature using different
techniques, with different ...
A Monitoring and Evaluation Scheme for an ICT-Supported Education Program in Schools
(NATL TAIWAN NORMAL UNIV, TAIWAN, 2010)
More than 20 years after ICTs were introduced in schools, solid evidence of their impact on student attainment is still lacking. Reasons for this include the mismatch between the methods used to measure the effects and the ...
Reversing uncertainty sampling to improve active learning schemes
(2015)
Active learning provides promising methods to optimize the cost of manually annotating a dataset. However, practitioners in many areas do not massively resort to such methods because they present technical difficulties and ...
An empirical evaluation of NASA-MDP data sets using a genetic defect-proneness prediction framework
(2016-11-09)
In software engineering, software quality is an important
research area. Automated generation of learning schemes
plays an important role and represents an efficient way to detect
defects in software projects, thus ...