Search results

Social media is widely used to capture citizens' opinions and topics deemed important. The importance or interest social media users attribute to a topic is traditionally measured by tweet frequency. This approach is practical but overlooks other user engagement tools such as retweets, likes, quotes, and replies. As a result, it may lead to a misinterpretation of social media signals. This paper aims to propose a method that considers all user engagement indicators and ranks the topics based on the interest attributed by social media users.

A multi-criteria decision-making framework was proposed, which calculates the relative importance of user engagement tools using objective (information entropy) and subjective (Bayesian Best-Worst Method) methods. The results of the two methods are aggregated with a combinative method. Then, topics are ranked based on their user engagement levels using Multi-Objective Optimization by Ratio Analysis.

The proposed approach was used to determine citizens' priorities in transport policy, and the findings are compared with those obtained solely based on tweet frequency. The results revealed that the proposed multi-criteria decision-making framework generated more comprehensive and robust results.

The proposed method provides a systematic way to interpret social media signals and guide institutions in making better policies, hence ensuring that the demands of users/society are properly addressed.

This study presents a systematic method to prioritize user preferences in social media. It is the first in the literature to discuss the necessity of considering all user engagement indicators and proposes a reliable method that calculates their relative importance.

The purpose of this study is to determine whether the use of online puzzles in the instructional process has an effect on student achievement and learning retention. This study examined students ' perception and experiences on use of puzzle as an alternative evaluation tool. To achieve this aim, the following hypotheses were tested: using puzzle activities in lessons increases student achievement, using puzzle activities in lessons increases retention of information learned by the students and students have positive attitudes toward using puzzle activities in lessons. This study uses an online puzzle system (OPS) by which instructors can prepare puzzle activities for students to solve online. The technical and functional properties of the OPS developed and used are beyond the scope of this study.

A pre- and post-test with control group experimental research design was implemented. Study participants were tenth-grade students in the Information Technologies Department of Gazi Anatolia Technical and Industrial Vocational School in Elazig during the 2011-2012 year. Thirty students each were chosen for the experimental and control groups, totaling 60 students. During the study, a traditional instruction method was used for the control group, while the experimental group received both traditional instruction and performed activities using the OPS. The subject Fundamentals of Networking was chosen, and the implementation period lasted six weeks. Four weeks after completion of the study, the achievement level of students was calculated again to test learning retention.

The first hypothesis of the study is, “Using puzzle activities in the lessons increases the achievement of the students”. In the teaching of the Networking Fundamentals Module of Information Technologies Course for tenth graders, a significant difference in favor of the experimental group was seen, where online puzzle activities were used in terms of student achievement. The second hypothesis of the study is, “Using puzzle activities in the lessons increase the retention of the information learned by the students”. Four weeks after completion of the study, the achievement levels of the students were calculated again to test learning retention. The learning retention of the students in the experimental group is higher than that of the students in the control group. In addition, students in the experimental group had positive attitudes toward online puzzle activities. Doing online puzzle activities accelerates learning for students and helps them learn networking terms by creating an enjoyable environment.

The current study was limited to six weeks of implementation during the 2011-2012 school year at Gazi Anatolia Technical and Industrial Vocational High School in Elazig. Similar studies could be conducted in other schools for longer periods and at different levels, so the findings can be compared with those of the current study. This study is further limited to an Information Technologies Course. Studies can be conducted with various courses using appropriate online puzzle activities. Puzzle types other than the crossword used in the OPS of the current study should be developed and added. The system should also be developed by visual multimedia objects, allowing it to be more interactive. Moreover, in the development process of such an OPS, educators, software designers, psychologists and scholars from other fields should work together. Usability tests should be conducted to improve user-friendliness of the system by adding various features related to functionality and visuality.

From the findings of the study, it can be concluded that online puzzle activities help students understand subjects better and aid in exam preparation. Moreover, these activities are effective for students in terms of increasing understanding and retention of learned terms in and outside class, forming valuable learning experiences. Doing online puzzle activities in class as a course-end activity can be said to be more effective in students’ learning than doing them outside of class. Crossword puzzles offer opportunities for students to accelerate learning by quickly mastering new words and phrases and by directing students to more actively interact with computer-related vocabulary and terminology as compared with the rote learning method.

Paper-based puzzles are frequently used, and there are few Web-based puzzles. Despite their frequent use, preparing and evaluating paper-based puzzles can require a significant time investment; another disadvantage is the lack of immediate feedback. Based on the literature review, there is no dynamic OPS used for educational purposes. This study uses an OPS by which instructors can prepare puzzle activities for students to solve online. The originality of this study is OPS features and puzzle generation mechanism. The system presents a user-friendly interface with Turkish character (or any language) support and number-writing properties.

This paper aims to investigate the environmental impact of various pollutant emissions including carbon monoxide (CO), carbon dioxide (CO₂), nitrogen oxide (NO_x) and hydrocarbon (HC) from aircraft exhaust gases during the landing and take-off (LTO) cycles at Eskisehir Hasan Polatkan Airport, Turkey, between 2017 and 2018.

The methodology approach used to calculate the emissions from aircrafts is based on the ICAO databank and the actual data records taken from Presidency of The Republic of Turkey Directorate of Communications (DoC).

The maximum amount of total fuel burnt during the two years is 80.898 and 70.168 tons in 2017 and 2018, respectively, while the average fuel burnt per year from 2017 to 2018 is approximately 369.773 tons. The highest CO, CO₂, NO_x and HC emissions are found to be 248.3 kg in 2017, 261.380 tons, 1.708 tons and 22.15 kg, during the 2018 year, respectively. Average CO, HC, NO_x and CO₂ emissions amount per year are observed to be 1.392 tons, 135 kg, 6.909 tons and 1,143 tons, respectively. Considering the average of total emission amount as an environmental factor, as expected, CO₂ emissions contributed the most to the total emissions while HC emissions contributed the least to the total emissions from the airport.

The study presents the approach in determining the amounts of emissions released into the interannual atmosphere and it explicitly provides researchers and policymakers how to follow emissions from commercial aircraft activities at different airports.

The value of the study lies in the transparent computation of the amounts of pollutants by providing the data directly from the first hand-DoC.