Art der Publikation: Beitrag in Sammelwerk

Student’s Rating of Contexts for Teaching Data Literacy at School regarding the Context Characteristics relation to everyday life and uniqueness

Napierala, S.; Brinda, T.
Falkner, N.; Seppala, O.
Titel des Sammelbands:
Proceedings of the 20th Koli Calling International Conference on Computing Education Research (Koli Calling '20), November 19-22, 2020, Koli, Finland
ACM Press
New York, NY, USA
students' interests, data literacy, context-based learning, familiarity of contexts
Digital Object Identifier (DOI):
Vortrag zu dieser Publikation:
20th Koli Calling International Conference on Computing Education Research (Koli Calling '20)
Download BibTeX


Preparing young people for their future with digital competenciesis an important goal for all educational systems. Competency frame-works already exist in many countries and function as guidelinesfor teaching at school. A central area is the data and information literacy, which also plays a key role in computing (education). As a school relevant topic it should therefore be examined more closely. For any learning activity, the interest in what to learn has a major impact on learning motivation and success. But the development of interests in school subject contents is also affected by its teaching contexts. In this respect, it is an open question whether these contexts should be related close to the everyday life of the students or whether they should be unique to have a positive effect on the situational interest of the students. Results can help selecting motivational teaching contexts and to facilitate the learning process, making it easier for students to acquire the required competencies. This paper presents results of a pilot study (N=28), which is part of a bigger research project consisting of two main studies. This pilot study belongs to the first main study. We present results on how 7th and 8th graders rated 12 contexts for teaching data literacy regarding the relation to their everyday life or uniqueness. This pilot study primarily serves to test a self developed questionnaire and its comprehensibility to use it in the first main study. It also gives first insights into expected results of the upcoming main study.