Course: Fundamentals of algorithmization and programming for primary education

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Course title Fundamentals of algorithmization and programming for primary education
Course code KVD/ZAPV
Organizational form of instruction Seminary
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Ringelhán Josef, Mgr. Ph.D.
  • Šolc Josef, Mgr. Ph.D.
  • Hnilica Zdeněk, Mgr. Ph.D.
Course content
Informatics in the Framework Educational Programme for Basic Education (RVP ZV), expected learning outcomes for the first stage of primary education, and computational thinking and its components. Algorithms and algorithmic thinking. Basic algorithmic structures. Digital technologies suitable for developing computational thinking at the primary level. Activities and games for developing computational thinking without the use of digital technologies. Children's programming environments for developing computational thinking among primary school pupils. Robotic tools and robotics construction kits in primary education. Solving tasks aimed at developing computational thinking using a selected programming environment and chosen technological equipment.

Learning activities and teaching methods
  • Graduate study programme term essay (40-50) - 10 hours per semester
  • Preparation for comprehensive test (10-40) - 8 hours per semester
  • Practical training (number of hours) - 26 hours per semester
  • unspecified - 12 hours per semester
prerequisite
Knowledge
logical thinking developed at the output level of high school RVP
to clarify the basic concepts of multimedia and computers
Skills
to orientate in the graphical user environment
control user-level standard multimedia technology and computer
to present the results of the solution in a limited time
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to clarify the function of technical teaching resources in teaching
able to understand the problems of algorithmization
explain the concept of computational thinking and its components
navigate the Informatics educational area in the Framework Educational Programme for Basic Education (RVP ZV) and the expected learning outcomes for the primary level
Skills
to solve examples that can be used to develop computational thinking in a chosen environment
to select the environment for the development of computational thinking according to the purpose of use
to solve the minor technical problems associated with the use of technology in teaching
to work with error as a learning tool
design an activity that develops computational thinking and align it with the expected learning outcomes of the Framework Educational Programme for Basic Education (RVP ZV)
Competences
N/A
teaching methods
Knowledge
Individual study
Students' portfolio
Task-based study method
Skills
Skills demonstration
Individual study
Competences
Seminar classes
Seminar
Collaborative instruction
E-learning
assessment methods
Knowledge
Seminar work
Continuous assessment
Skills demonstration during practicum
Test
Skills
Seminar work
Continuous assessment
Skills demonstration during practicum
Competences
Skills demonstration during practicum
Seminar work
Recommended literature
  • Programování pro děti : naučte se programovat při tvorbě skvělých her. 1. vyd. Brno: Computer Press, 2013. ISBN 978-80-251-3809-0.
  • Baťko, Jan. KVD/ZAPV - Základy algoritmizace a programování. Plzeň. 2023.
  • Liukas, Linda. Hello, Ruby : dobrodružné programování. Vydání první. 2017. ISBN 978-80-905803-4-3.
  • Maněnová, M. a S. Pekárková. Algoritmizace s využitím robotických hraček pro děti do věku 8 let. České Budějovice. 2019.
  • Procházka, Josef. Lapeš, Jakub. Tocháček, Daniel. Robotika s LEGO WeDo pro 1. stupeň ZŠ. Univerzita Karlova. 2020.
  • Vaníček, Jiří. Informatika pro 1. stupeň základní školy: informační a komunikační technologie.. Brno, 2012. ISBN 978-80-251-3749-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester