Paper 2025-40
DOI: https://doi.org/10.26883/2010.251.6664
ЦВЕТОВЕТЕ В ОБУЧЕНИЕТО ПО ИНФОРМАТИКА, ИТ И КМИТ
Галина Димитрова Момчева1, Тодорка Атанасова Глушкова2
1 Институт по математика и информатика, БАН, София
2 Пловдивски университет „Паисий Хилендарски“, Пловдив
COLORS IN EDUCATION IN INFORMATICS, IT, CMIT
Galina Dimitrova Momcheva1, Todorka Atansova Glushkova2
1 Institute of Mathematics and Informatics, BAS, Sofia
2 Plovdiv University „Paisii Hilendarski“, Plovdiv
* Авторите изказват благодарност към научен проект ФП25-ФМИ-010 „Иновативни интердисциплинарни изследвания по информатика, математика и педагогика на обучението“ към НПД на ПУ”, за частичното финансиране на настоящата работа.
Abstract: The publication provides some summary and methodological guidelines for topics, learning tasks, research tasks and projects related to colors. The authors present their own summary of the scientific knowledge of color (taxonomy) based on their experience in various areas of computer science (coding, programming, computer vision, structural combinatorics, user interfaces and usability) and their participation in interdisciplinary research and, in accordance with their pedagogical experience, provide possible projections of this knowledge in the teaching of informatics, IT, and computer science for different ages and experience of students. Examples of learning tasks and resources from already established textbooks are given, as well as new educational resources for color coding, color transformation, color schemes and palettes, index colors, heat maps on data, colors in user interfaces and design, emotions and colors, steganography, as well as educational environments in which to implement the tasks: programming environment, simulation environment for experiments, artificial intelligence. A special focus is on STEAM research tasks and projects related to color. Examples of new directions in the science of multimodal analysis are also demonstrated through multimodal tasks, namely parallel processing of text-sound-images related to color.
Keywords: color, color coding, computer vision
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