Pre-Service Elementary Teachers’ Perceptions and Opinions About Greenhouse Effect

Aksan, Zeynep; Çelikler, Dilek

doi:10.33225/jbse/13.12.159

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…However, few students (S 2 , S 6 , S 11 ) included the activities of authorized institutions/organizations. So much, so that recycling awareness education increased the knowledge levels of preservice teachers about recycling and positively affected their behaviors toward recycling , and it has been determined that the education given to preservice science teachers was effective in increasing their awareness (Aksan & Çelikler, 2020).…”

Section: It Is Necessary To Throw the Plastic Bags Into The Recycling...mentioning

confidence: 99%

Determination of Science Students' Awareness on Waste Management

Harman

Yenikalayci

2022

J. Sci. Learn.

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In this research, it was aimed to determine science students’ awareness of waste management. Eleven students studying in the first year of the Science Education Department participated in the research. The screening model was used in the research. The data were collected through scientific newspapers prepared in line with the Scientific Newspaper Preparation Instruction within the Scope of Waste Management. In the five sections of the instruction, students were asked to prepare scientific newspapers that they will support with written explanations and drawings on recovery, reuse, recycling, plastic bag usage, and zero waste within waste management. The data were analyzed by using content analysis. As a result of the research, it was understood that a significant part of the students was aware of the effects of education, research, and project activities on recovery, reuse, recycling, plastic bag usage, and zero waste practices within the scope of waste management, and the place and importance of the individual in waste management. On the other hand, it was understood that most of the students were not aware of the basis of waste management practices as the waste types, the separation of wastes at the source in accordance to their types, and throwing the wastes into the appropriate waste bin for their types.

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Section: It Is Necessary To Throw the Plastic Bags Into The Recycling...mentioning

confidence: 99%

Determination of Science Students' Awareness on Waste Management

Harman

Yenikalayci

2022

J. Sci. Learn.

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“…The findings for pre-service science teachers are similar. According to studies, pre-service teachers confuse climate and weather and cite ozone depletion and air pollution as the primary causes of global temperature changes (Aksan & Celikler, 2013;Bleicher & Lambert, 2013;Lambert et al, 2012;Ocal et al, 2011). Although there are successful intervention studies to increase pre-service teachers' knowledge about climate change (e.g., Namdar, 2018), the advancement of understanding does not always positively transfer to behavioral change.…”

Section: Introductionmentioning

confidence: 99%

The effect of online argumentation activities workshop on pre-service science teachers’ climate change awareness

Namdar,

Topbas

2024

PEDAGOGICAL RES

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The aim of this study is to increase pre-service science teachers’ awareness of climate change through online argumentation activities. The study prepared pre-service training content based on online argumentation to increase climate change awareness. For the training, activities were prepared based on online argumentation for the sub-dimensions of climate change, which are content knowledge, awareness of the effects of climate change, awareness of personal initiatives, awareness of industrial initiatives, and tendencies towards preventing climate change. Expert opinions were taken about the activities and then they were finalized. Data was collected through an open-ended questionnaire applied as pre- and post-test. 32 pre-service science teachers from 22 different universities across Türkiye participated in the online training. The climate change awareness form was applied before and after the training. Data was analyzed using a content analysis approach. As a result of the study, it was observed that there was a significant difference in the pre-service teachers’ content knowledge of climate change, and they provided more justifications in the sub-dimensions of climate change awareness after the training, and their awareness increased.

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“…Global warming, the impact of which is felt more and more day by day, brings along many problems. If global warming, which has reached threatening dimensions all over the world, cannot be prevented, future generations will face many global problems that cannot be compensated [2].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms

Aydın,

Cakiroglu,

Bekdaş

et al. 2023

Sustainability

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Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN Sustainable Development Goals 9 and 11. Carbon dioxide (CO2) emission into the atmosphere is mostly the result of human-induced activities and causes dangerous environmental impacts by increasing the average temperature of the earth. Since the production of ordinary Portland cement (PC) is a major contributor to CO2 emissions, this study proposes alkali-activated binders as an alternative to reduce the environmental impact of ordinary Portland cement production. The dataset required for the training processes of these algorithms was created using Mendeley as a data-gathering instrument. Some of the most efficient state-of-the-art meta-heuristic optimization algorithms were applied to obtain the optimal neural network architecture with the highest performance. These neural network models were applied in the prediction of carbon emissions. The accuracy of these models was measured using statistical measures such as the mean squared error (MSE) and coefficient of determination (R2). The results show that carbon emissions associated with the production of alkali-activated concrete can be predicted with high accuracy using state-of-the-art machine learning techniques. In this study, in which the binders produced by the alkali activation method were evaluated for their usability as a binder material to replace Portland cement, it is concluded that the most successful hyperparameter optimization algorithm for this study is the genetic algorithm (GA) with accurate mean squared error (MSE = 161.17) and coefficient of determination (R2 = 0.90) values in the datasets.

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Pre-Service Elementary Teachers’ Perceptions and Opinions About Greenhouse Effect

Cited by 7 publications

References 21 publications

Determination of Science Students' Awareness on Waste Management

Determination of Science Students' Awareness on Waste Management

The effect of online argumentation activities workshop on pre-service science teachers’ climate change awareness

Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms

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