Case Study: Developing Long-Term Knowledge with Sprego

Autor/inn/en	Csapó, Gábor; Sebestyén, Katalin; Csernoch, Mária; Abari, Kálmán
Titel	Case Study: Developing Long-Term Knowledge with Sprego
Quelle	In: Education and Information Technologies, 26 (2021) 1, S.965-982 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sebestyén, Katalin)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-020-10295-0
Schlagwörter	Foreign Countries; Elementary Secondary Education; Computer Science Education; Information Science; Spreadsheets; Information Management; Mathematics; Problem Solving; Teaching Methods; Academic Achievement; Hungary + Suchen Sie Ihr Suchwort? Ausland; Computer science lessons; Informatikunterricht; Informationswissenschaft; Spread sheet; Spredsheets; Spreadsheet; Tabellenkalkulation; Procurement of information; Informationsbeschaffung; Mathematik; Problemlösen; Teaching method; Lehrmethode; Unterrichtsmethode; Schulleistung; Ungarn
Abstract	In Hungary, K-12 informatics/computer science education focuses on mostly surface-based methods. This approach can be observed in the teaching of several topics in the subject, of which we focus on spreadsheet management. This is further emphasized by regulatory documents -- the Hungarian National Core Curriculum and Hungarian Curriculum Frameworks --, where handling algorithms, calling schemata, and problem-solving in general are only assigned to the programming topic. In the process of fulfilling the requirements of the school curricula and the various tool-centered exams, students become familiar with the software interfaces and how to navigate them, instead of developing computational thinking skills and learning how to approach and solve real-world problems. Our educational system is based on a spiral teaching approach; therefore, spreadsheet management is taught throughout several grades in a small number of lessons. Prior research shows that students learning spreadsheet management with surface-approach methods do not build up a reliable knowledge structure. These students cannot solve problems in contexts differing to the ones in which they learned the topic and cannot use their surface navigation abilities in different software environments. Our research group focuses on spreadsheeting with an algorithm-building and problem-solving method at the center of the teaching-learning process. For this purpose, we have developed and introduced the Sprego (Spreadsheet Lego) methodology. Sprego is based on Pólya's four-step concept-based problem-solving approach, and its efficiency has already been proved compared to traditional low-mathability surface-approach methods. In the comparison of the low- and high-mathability approaches, several further questions arise, and amongst them one crucial aspect is how the different methods support the schema-construction and knowledge built up in long-term memory. In this paper we discuss this question using a delayed post-test that was carried out one year after the treatment period. We focused on the students' achievement both in the experimental (Sprego) and control (traditional surface-approaches) groups based on the methods used one year prior to the administration of the delayed post-test. The results show that students who learned the spreadsheet management topic with Sprego achieved significantly better scores on the delayed tests than those students who used low-mathability approaches. (As Provided).
Anmerkungen	Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01