Open AccessTraining in Programming using Innovative Means
Author(s) -
Galya Shivacheva,
N R Ruseva
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1031/1/012124
Subject(s) - flowchart , computer science , frame (networking) , table (database) , training (meteorology) , invariant (physics) , limit (mathematics) , artificial intelligence , machine learning , multimedia , algorithm , theoretical computer science , programming language , data mining , mathematics , telecommunications , physics , meteorology , mathematical physics , mathematical analysis
Training in programming, related to studying algorithms, is challenging for the lecturers. The aim of this paper is to offer options about how to use innovative means in programming by presenting their specifics and to suggest how to limit some of the disadvantages. During synchronous learning, whether conducted in a computer room or online in a virtual classroom, the three standard ways of presenting algorithms can be applied as creating a flowchart for a specific algorithm with Flowgorithm is presented dynamically rather than as a static image, as on the site. With the introduction of Accumulative frame models in programming training, it can be described verbally through a list of invariant frames, which is recommended to be used in the study of algorithms that consist of more than one basic algorithms. This is a fourth way of presenting algorithms, which can be in the form of a table.