Ropucha zelená v meste Košice

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Mária Ganajová - Jozef Hanč - Ivana Sotáková - Petra Letošníková (eds.)

The International Conference on Research in Didactics of the Science – DidSci+ 2022, continues in the educational legacy of the successful series of the previous DidSci conferences held from 2004 in Krakow, Prague, Brno, or Trnava. The DidSci+ conferences present a platform for enduring international cooperation, focusing on the frontiers and current challenges in science education research. This special edition of DidSci conferences, celebrating its 10th anniversary, was held in Košice, at the Faculty of Science of Pavol Jozef Šafárik University, from June 26 to 29, 2022. The careful double-blind review process has led to two major publications offering a comprehensive look at the latest advances in STEM and science subjects education. The first volume of selected papers is published as the IOP Conference Series proceedings, Vol. 3037 with open access at https://iopscience.iop.org/issue/1742-6596/3037/1, and is primarily devoted to STEM education, assessment, evaluation, feedback strategies, and teacher development. The second volume of selected papers, published by ŠafárikPress, focuses more on curriculum development, educational innovation, and digital technologies, primarily in chemistry and biology. Both publications are intended for a wide audience, including in-service and pre-service teachers of science subjects, university students in scientific disciplines, researchers in science education, professionals in pedagogical and methodological centers, curriculum developers, and textbook authors.

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Mária Ganajová

The current teaching of chemistry has its specific problems. On one hand, due to the shift of the focus of chemistry curriculum towards theoretical content, the difficulty of chemistry material has increased, and in connection with this, students' interest in chemistry has decreased.

The lack of student interest in chemistry is mostly supported by the opinion that it is precisely chemistry that significantly contributes to the deterioration of environmental quality. On the other hand, we live in an era where we encounter chemical products practically everywhere. It is necessary to learn the basics of chemistry as well as possible, which makes the question of increasing interest in chemistry education and improving its effectiveness very relevant. State educational programs have been introduced into Slovak schools as a foundation for the creation of school educational programs. These emphasize not only acquiring a certain amount of knowledge but also the development and enhancement of key and specific competencies of students, preparing them for lifelong learning and their application in life.

Therefore, increasing attention is being paid to one of the fundamental didactic tools for raising student activity in teaching, and thus improving the effectiveness of chemistry education – learning tasks. From both theory and practice of chemistry teaching, we know that learning tasks, questions, examples, exercises, etc., are among the important components of every teaching lesson. Learning tasks are applied in all phases of teaching – in the motivational phase, the phase of acquiring knowledge, the phase of consolidating knowledge, and the phase of checking the acquired knowledge. It is therefore clear that every teacher will sooner or later find themselves in a situation where they will have to select learning tasks from textbooks, workbooks, collections of problems and examples, or create them themselves.

This scientific monograph is intended for educational specialists and chemistry teachers, aiming to familiarize them with examples of various types and forms of learning tasks and the basics of their creation in chemistry. It can also be helpful for them in preparing certification works focused on test creation and their statistical evaluation.

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Ľubomír Antoni-Stanislav Krajči

An important part of theoretical computer science is the problem of Turing machines. This computational model has two basic properties: like any other computational program, the software of a Turing machine is composed of instructions, but in its case they are all of a single type. Every other (so far known) computer program can be transformed into a Turing machine program without loss of information. While the second feature reduces the question of what a calculator cannot do to the question of what a Turing machine cannot do, the first feature allows a much simpler investigation of such a question. Using this computational model, we can thus find concrete problems that no automaton can ever deal with (perhaps the most famous is the problem of the Turing machine stopping). Their existence demonstrates the fundamental limitations of (not only ideal) computational means, and thus encourages both criticality and humility in our thinking.

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Norbert Kopčo

Neuroscience is an interdisciplinary field of science at the interface of biological, psychological and computer sciences, which aims to describe the functioning of the brain and mind. Computational and cognitive neuroscience are subfields of neuroscience focused on the study of information processing in the human and animal nervous systems, and on the theoretical description of the brain and mind. This university textbook contains several assignments that provide an overview of the methods used in computational and cognitive neuroscience, with an emphasis on mathematical modeling and on the behavioral study of cognitive processes. The textbook builds on the author's previous works.

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