Zeynep Aksan

Bio: Zeynep Aksan is an academic researcher from Ondokuz Mayıs University. The author has contributed to research in topics: Science education & Knowledge level. The author has an hindex of 6, co-authored 35 publications receiving 138 citations.

The development of an attitude scale to assess the attitudes of high school students towards renewable energy sources

Abstract: The aim of this study was to develop a scale that can assess the attitudes of high school students regarding renewable energy sources. The study data were obtained from a total of 433 high school students enrolled in the 9th, 10th, 11th and 12th grades of a high schools in a provincial capital in northern Turkey. The five-point Likert type scale with 48 items that was developed assessed the attitude of high school students regarding renewable energy sources. To determine the construct validity of the scale, a factor analysis was performed with the 48 items. Based on the factor analysis, eleven more items were removed from the scale, and the remaining 37 items were organized under seven dimensions. The reliability coefficient of the obtained factors varied 0.704 and 0.913, while the internal consistency coefficient for the 37-item scale was calculated as 0.753.

Ion Hunters: Playing a Game To Practice Identifying Anions and Cations and Writing Their Names and Formulas

Abstract: As a chemistry education game, Ion Hunters was developed for university-level students to practice naming anions and cations and writing the formulas for ions that are frequently encountered in chemistry lessons. This game, which is played by two students at a time, is an effective tool for teaching about ions and makes the lesson more enjoyable by providing an opportunity for students to associate a chemistry topic with having fun. When the game is completed, the analysis sheet is used to determine which student has written the highest number of correct answers on the answer sheets; this student becomes the winner of the game.

Towards Sustainable Energy: A Systematic Review of Renewable Energy Sources, Technologies, and Public Opinions

Abstract: The use of renewable energy resources, such as solar, wind, and biomass will not diminish their availability. Sunlight being a constant source of energy is used to meet the ever-increasing energy need. This review discusses the world's energy needs, renewable energy technologies for domestic use, and highlights public opinions on renewable energy. A systematic review of the literature was conducted from 2009 to 2018. During this process, more than 300 articles were classified and 42 papers were filtered for critical review. The literature analysis showed that despite serious efforts at all levels to reduce reliance on fossil fuels by promoting renewable energy as its alternative, fossil fuels continue to contribute 73.5% to the worldwide electricity production in 2017. Conversely, renewable sources contributed only 26.5%. Furthermore, this study highlights that the lack of public awareness is a major barrier to the acceptance of renewable energy technologies. The results of this study show that worldwide energy crises can be managed by integrating renewable energy sources in the power generation. Moreover, in order to facilitate the development of renewable energy technologies, this systematic review has highlighted the importance of public opinion and performed a real-time analysis of public tweets. This example of tweet analysis is a relatively novel initiative in a review study that will seek to direct the attention of future researchers and policymakers toward public opinion and recommend the implications to both academia and industries.

Fundamentals of soil stabilization

Abstract: Clayey soils are usually stiff when they are dry and give up their stiffness as they become saturated. Soft clays are associated with low compressive strength and excessive settlement. This reduction in strength due to moisture leads to severe damages to buildings and foundations. The soil behavior can be a challenge to the designer build infrastructure plans to on clay deposits. The damage due to the expansive soils every year is expected to be $1 billion in the USA, £150 million in the UK, and many billions of pounds worldwide. The damages associated with expansive soils are not because of the lack of inadequate engineering solutions but to the failure to identify the existence and magnitude of expansion of these soils in the early stage of project planning. One of the methods for soil improvement is that the problematic soil is replaced by suitable soil. The high cost involved in this method has led researchers to identify alternative methods, and soil stabilization with different additives is one of those methods. Recently, modern scientific techniques of soil stabilization are on offer for this purpose. Stabilized soil is a composite material that is obtained from the combination and optimization of properties of constituent materials. Adding cementing agents such as lime, cement and industrial byproducts like fly ash and slag, with soil results in improved geotechnical properties. However, during the past few decades, a number of cases have been reported where sulfate-rich soils stabilized by cement or lime underwent a significant amount of heave leading to pavement failure. This research paper addressed the some fundamental and success soil improvement that used in civil engineering field.

Air Pollution Forecasts: An Overview

Abstract: Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.

Psychological Testing Principles And Applications

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