Search results for "computer.software_genre"
showing 10 items of 3858 documents
Machine learning for energy cost modelling in wastewater treatment plants.
2018
Understanding the energy cost structure of wastewater treatment plants is a relevant topic for plant managers due to the high energy costs and significant saving potentials. Currently, energy cost models are generally generated using logarithmic, exponential or linear functions that could produce not accurate results when the relationship between variables is highly complex and non-linear. In order to overcome this issue, this paper proposes a new methodology based on machine-learning algorithms that perform better with complex datasets. In this paper, machine learning was used to generate high-performing energy cost models for wastewater treatment plants, using a database of 317 wastewater…
Single, Long-Playing, and Compilation: The Formats of Audio and Amorousness in Nick Hornby'sHigh Fidelity
2005
(2005). Single, Long-Playing, and Compilation: The Formats of Audio and Amorousness in Nick Hornby's High Fidelity. Critique: Studies in Contemporary Fiction: Vol. 47, No. 1, pp. 3-21.
ATLAS TileCal Read Out Driver production
2007
The production tests of the 38 ATLAS TileCal Read Out Drivers (RODs) are presented in this paper. The hardware specifications and firmware functionality of the RODs modules, the test-bench and the test procedure to qualify the boards are described. Finally the performance results, the temperature studies and high rate tests are shown and discussed.
Estimating the Number of Changepoints in Segmented Regression Models: Comparative Study and Application
2020
This paper deals with the problem of selecting the number of changepoints in segmented regression models. The aim is to review selection criteria, namely information criteria and hypothesis testing, and to propose a novel application in the context of students' careers in higher education. The performance of the selection criteria is assessed through simulation studies. Furthermore, we investigate the relationship between University students' performance and one of its main determinants, finding out that this relationship is actually broken-line.
Investigating teachers motivation to use ICT tools in higher education
2015
There are a lot of information and communication technology (ICT) tools for education, but the motivation to use those varies from teacher to teacher. In this paper we present results of an international survey on teachers' use of ICT tools in education. The purpose of the survey was to find out what motivates teachers to use ICT tools in the context of teaching. The survey also intended to reveal which tools are used as well as the needs and requirements that are not covered by the existing tools. Most of the 45 respondents suggested that the integration of tools depends on how well they fit into the learning and teaching process and how easy it is to integrate them. The first category of …
IRT Modeling of Decomposed Student Learning Patterns in Higher Education Economics
2019
Researchers have spent decades arguing how to measure improvements in learning within formal settings, where achievements are intended and presupposed, in a reliable and valid way. Repeated measures are required to investigate improvements of any kind. Students usually take a multiple-choice test at least twice with the difference between the two measurements indicating how much they have learned. Walstad and Wagner (J Econ Educ 47:121–131, 2016) presented a new approach to gathering more information about different learning patterns by decomposing these difference measures. They describe the patterns of positive learning (PL) and negative learning (NL), i.e., the development from not knowi…
Scripted Collaboration and Group‐Based Variations in a Higher Education CSCL Context
2009
Scripting student activities is one way to make Computer‐Supported Collaborative Learning more efficient. This case study examines how scripting guided student group activities and also how different groups interpreted the script; what kinds of roles students adopted and what kinds of differences there were between the groups in terms of their activities. Seven small groups of higher education students participated in the study. According to the findings, scripting enhanced collaboration and ensured that all groups were able to complete the task, but despite the script the groups' activities varied during the task and the script could not guarantee any “high‐level” participation by all stud…
What I Talk About When I Talk About Quality
2010
ABSTRACT During the 15 years that Quality in Higher Education has held a focal position in the field of higher education assessment, the concept of quality has evolved from a debatable and controversial concept to an everyday matter in higher education. The author takes a personal look into the development of the field by first tracking the discursive changes in the debate, and then reflecting on the shift of the quality discussion from a matter of political substance debate to a matter of technical implementation. The article finishes with a look into possible futures of the quality revolution.
Learning the electric field concept as oriented research activity
2003
This work is grounded in a constructivistic conception of the learning of science, more particularly on the model known as teaching–learning as oriented research. In accordance with this theoretical basis we have developed an empirical research project to investigate the teaching of electrostatics in high schools. The designs developed have enabled us to assess the learning achieved by the students from conceptual, procedural, and attitudinal stances. According to our findings we can say that the materials developed and the way we have worked with them have contributed to more significant learning and favored a more positive attitude toward the subject. © 2003 Wiley Periodicals, Inc. Sci Ed…
ICDAR 2021 Competition on Historical Document Classification
2021
International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classification tasks, which can be solved individually or jointly: font group/script type, location, date. The document images are provided by several institutions and are taken from handwritten and printed books as well as from charters. In contrast to previous competitions, all participants relied upon Deep Learning based approaches. Nevertheless, we saw a great performance variety of the different submitted systems. The easiest task seemed to be font grou…