Classification of the indoor environment in a high-school building by means of subjective responses

Indoor climate comfort is important for school buildings. Nowadays, this is a topical problem, especially in renovated buildings. Poorly ventilated school classrooms create improper conditions for classrooms. A post-occupancy study was performed in a school building in temperate climatic conditions. The evaluation was based on the results of long-term monitoring of the natural ventilation strategy and measurements of the carbon dioxide concentration in the school classroom’s indoor environment. The monitoring was carried out in an old school building that was constructed in the 1970s and compared to testing carried out in the same school classroom after the building was renovated in 2016. Surprisingly, the renovated classroom had a significantly higher concentration of CO2. It was found that this was due to the regulation of the heating system and the new airtight windows. The occupants of the renovated classroom have a maintained thermal comfort, but natural ventilation is rather neglected. A controlled ventilation strategy and installation of heat recovery units are recommended to solve these problems with the classroom’s indoor environment. Microbiological testing of the surfaces in school classrooms also shows the importance of fresh air and solar radiation access for indoor comfort.

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Effectiveness of E-Learning for Students Vocational High School Building Engineering Program

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/336/1/012039 ◽

2018 ◽

Vol 336 ◽

pp. 012039

Author(s):

Soeparno ◽

Supari Muslim

Keyword(s):

High School ◽

School Building ◽

Vocational High School ◽

Engineering Program ◽

E Learning ◽

Building Engineering

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A Computational Strategy for Classification of Enem Issues Based on Item Response Theory

Revista de Informática Teórica e Aplicada ◽

10.22456/2175-2745.92406 ◽

2020 ◽

Vol 27 (1) ◽

pp. 92-111

Author(s):

Gustavo Henrique Nunes ◽

Bruno Alberto Soares Oliveira ◽

Ciniro Aparecido Leite Nametala

Keyword(s):

High School ◽

Item Response Theory ◽

Item Response ◽

Generation System ◽

Response Theory ◽

Hit Rate ◽

System A ◽

Intelligent Simulation ◽

Computational Strategy

The National High School Examination (ENEM) gains each year more importance, as it gradually, replacing traditional vestibular. Many simulations are done almost randomly by teachers or systems, with questions chosen without discretion. With this methodology, if a test needs to be reapplied, it is not possible to recreate it with questions that have the same difficulty as those used in the first evaluation. In this context, the present work presents the development of an ENEM Intelligent Simulation Generation System that calculates the parameters of Item Response Theory (TRI) of questions that have already been applied in ENEM and, based on them, classifies them. in groups of difficulty, thus enabling the generation of balanced tests. For this, the K-means algorithm was used to group the questions into three difficulty groups: easy, medium and difficult. To verify the functioning of the system, a simulation with 180 questions was generated along the ENEM model. It could be seen that in 37.7% of cases this happened. This hit rate was not greater because the algorithm confounded the difficulty of issues that are in close classes. However, the system has a hit rate of 92.8% in the classification of questions that are in distant groups.

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Do the BSRI and PAQ Really Measure Masculinity and Femininity?

The Spanish Journal of Psychology ◽

10.1017/s113874160000264x ◽

2010 ◽

Vol 13 (2) ◽

pp. 1000-1009 ◽

Cited By ~ 20

Author(s):

Juan Fernández ◽

Mª Teresa Coelleo

Keyword(s):

High School ◽

Factor Analysis ◽

High School Students ◽

Internal Consistency ◽

Linear Models ◽

Sex Role ◽

School Students ◽

Bem Sex Role Inventory ◽

Log Linear

The two most used instruments to assess masculinity (M) and femininity (F) are the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ). Two hypotheses will be tested: a) multidimensionality versus bidimensionality, and b) to what extent the two instruments, elaborated to measure the same constructs, classify subjects in the same way. Participants were 420 high school students, 198 women and 222 men, aged 12–15 years. Exploratory factor analysis and internal consistency analysis were carried out and log-linear models were tested. The data support a) the multidimensionality of both instruments and b) the lack of full concordance in the classification of persons according to the fourfold typology. Implications of the results are discussed regarding the supposed theory behind instrumentality/expressiveness and masculinity/femininity, as well as for the use of both instruments to classify different subjects into the four distinct types.

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The validity of macromedia flash in the subject classification of living things junior high school in Tanjungpinang Kepulauan Riau (KEPRI)

SSRN Electronic Journal ◽

10.2139/ssrn.3865837 ◽

2021 ◽

Author(s):

Erda Muhartati ◽

Riki Risanto

Keyword(s):

High School ◽

Junior High School ◽

Junior High ◽

Subject Classification ◽

Living Things ◽

The Subject

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Revised Finnish classification of indoor climate 2018

E3S Web of Conferences ◽

10.1051/e3sconf/201911102017 ◽

2019 ◽

Vol 111 ◽

pp. 02017 ◽

Cited By ~ 1

Author(s):

Mervi Ahola ◽

Jorma Säteri ◽

Laura Sariola

Keyword(s):

Air Quality ◽

Indoor Air Quality ◽

Indoor Air ◽

Indoor Environment ◽

Building Materials ◽

Fine Particles ◽

Indoor Climate ◽

Environmental Classification ◽

Target Values

The Finnish Society of Indoor Air Quality and Climate (FiSIAQ) introduced a Classification of Indoor Climate, Construction Cleanliness, and Finishing Materials in 1995. The Classification of Indoor Climate has been revised to meet the new Decree on indoor air quality and ventilation, European standards and experience from users of the classification. The most significant change is that target values for concentration and the in/out ratio of fine particles have been added. Other adjustments have been made to ensure good indoor environment and energy efficiency, but with reasonable investments. The criteria for emissions from building material and furniture were also updated. The Building Information Foundation RTS sr has run the M1-labelling of building products since 1996. The voluntary approach has been proven to improve the IAQ in new buildings and to reduce emissions from building materials. The Classification of Indoor Environment 2018 is integrated part of the new RTS Environmental Classification system.

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