Open data in open education: epistemological and didactic aspects

• Main Authors: Andrey Deryabin, Aleksandr Popov
• Format: Article
• Language: English
• Published: Pensoft Publishers 2021-05-01
• Series: ARPHA Proceedings
• Subjects: distant learning; data literacy; epistemic thinkin
• Online Access: https://ap.pensoft.net/article/22726/download/pdf/

The paper suggests a critical view on various formats of didactic materials - from classical and electronic textbooks to digital educational courses. The educational value of a digital educational program is mostly determined not by its media saturation or the abundance of applied online materials, but by an elaborated didactic concept, which development can be a complicated epistemological task. Using the example of the authors’ educational program in Data Science and Machine Learning for secondary school (900 participants) employing social-economic datasets, it is showed how epistemologically complex problem-solving curriculum can be implemented. A possibility to change how working with data and information are handled so that students can reconstruct a school subject, including a design of a customizable digital resources that may replace classic textbooks is discussed.