The Peto odds ratio is a well-known effect measure in meta-analysis of binary outcomes. For pairwise comparisons, the Peto odds ratio estimator can be severely biased in the situation of unbalanced sample sizes in the two treatment groups or large treatment effects. In this publication, we evaluate Peto odds ratio estimators in the setting of…

Meta-analysis is commonly used to compare two treatments. Network meta-analysis (NMA) is a powerful extension for comparing and contrasting multiple treatments simultaneously in a systematic review of multiple clinical trials. Although the practical utility of meta-analysis is apparent, it is not always straightforward to implement, especially for…

An elementary method to calculate the area, centroid and volume of rotation of the Koch curve is presented. Classroom extensions are provided to allow students to investigate the method used.

Periodicity in electronic molar entropy values has been shown on the basis of the electronic structures of the elements. Also, with the approximations discussed herein, one can estimate the electronic molar entropy without atomic spectroscopy results. All of this can be accomplished by showing the connection between the vector model of the atom…

The aim of this study is to examine the effects of high school students' perceptions of computational thinking skills and perceptions of logical and mathematical intelligence on their programming self-efficacy. Descriptive survey model as a quantitative research design was used in the research. The data were collected face to face on a voluntary…

Recently, computational thinking (CT) has gained importance in education systems worldwide, specifically the CT training of pre-service teachers. This study conducted a systematic literature analysis (2011-2021) of 38 works on pre-service teachers' CT based on Web of Science, Science Direct, and Google Scholar databases. The results were as…

Learning basic concepts of programming resulting in a development on computational thinking (CT) can be reached by means of digital programming environments. As a counterpart, the application of unplugged programming activities seems also to have promising potential regarding the impact on CT. The main characteristic of unplugged programming is…

Computational thinking is a relatively new field for teachers and educational researchers, where new pedagogical approaches emerge to teach various aspects of computational thinking that covers various thinking abilities and techniques for solving problems. Computational thinking concept received great attention from researchers and instructors…

This study investigated the effect of video lecture types on the performance of students in computational problem-solving practices. A total of 19 university students participated in the computational problem-solving practices that mostly required declarative knowledge, and 22 university students participated in the computational problem-solving…

There is growing recognition in the education community that the problem-solving practices that comprise computational thinking (CT) are a fundamental component of both life and work in the twenty-first century. Historically, opportunities to learn CT have been confined to computer science (CS) and elective courses that lack racial, ethnic, and…

Assessing the difficulty of reading comprehension questions is crucial to educational methodologies and language understanding technologies. Traditional methods of assessing question difficulty rely frequently on human judgments or shallow metrics, often failing to accurately capture the intricate cognitive demands of answering a question. This…

Florida's high school graduation rate is based on the percentage of students who graduated with a standard diploma within four years of their first full year of enrollment in ninth grade in the state. However, adjustments are made to this cohort over time to: (1) add incoming transfer students based on their grade level and year of entry; (2)…

In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of…

This dissertation examines the response of a group of educators to a state mandate to integrate computational thinking (CT) into all levels of the curriculum. It explores the historical development of CT and its significance within the broader context of Science, Technology, Engineering, and Mathematics education, emphasizing the rapid growth and…

In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…