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Successful Students' Strategies for Getting Unstuck
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Avdelningen för teknisk databehandling. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Numerisk analys. (UpCERG)
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2007 (Engelska)Ingår i: SIGCSE Bulletin inroads, ISSN 0097-8418, Vol. 39, nr 3, s. 156-160Artikel i tidskrift (Refereegranskat) Published
Ort, förlag, år, upplaga, sidor
2007. Vol. 39, nr 3, s. 156-160
Nationell ämneskategori
Datavetenskap (datalogi) Utbildningsvetenskap
Identifikatorer
URN: urn:nbn:se:uu:diva-11447DOI: 10.1145/1269900.1268831ISI: 000267363900032OAI: oai:DiVA.org:uu-11447DiVA, id: diva2:39216
Tillgänglig från: 2008-03-07 Skapad: 2008-03-07 Senast uppdaterad: 2025-02-18Bibliografiskt granskad
Ingår i avhandling
1. Novice Programming Students' Learning of Concepts and Practise
Öppna denna publikation i ny flik eller fönster >>Novice Programming Students' Learning of Concepts and Practise
2009 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Computer programming is a core area in computer science education that involves practical as well as conceptual learning goals. The literature in programming education reports however that novice students have great problems in their learning. These problems apply to concepts as well as to practise.

The empirically based research presented in this thesis contributes to the body of knowledge on students' learning by investigating the relationship between conceptual and practical learning in novice student learning of programming. Previous research in programming education has focused either on students' practical or conceptual learning. The present research indicates however that students' problems with learning to program partly depend on a complex relationship and mutual dependence between the two.

The most significant finding is that practise, in terms of activities at different levels of proficiency, and qualitatively different conceptual understandings, have dimensions of variation in common.

An analytical model is suggested where the dimensions of variation relate both to concepts and activities. The implications of the model are several. With the dimensions of variation at the center of learning this implies that when students discern a dimension of variation, related conceptual understandings and the meaning embedded in related practises can be discerned.

Activities as well as concepts can relate to more than one dimension. Activities at a higher level of proficiency, as well as qualitatively richer understandings of concepts, relate to more dimensions of variation.

Concrete examples are given on how variation theory and patterns of variation can be applied in teaching programming. The results can be used by educators to help students discern dimensions of variation, and thus facilitate practical as well as conceptual learning.

Ort, förlag, år, upplaga, sidor
Uppsala: Acta Universitatis Upsaliensis, 2009. s. 76
Serie
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 600
Nyckelord
Computer science education, computer science education research, object-oriented programming, novice students, phenomenography, variation theory, dimensions of variation, learning, higher education, concepts, practise, Ways of Thinking and Practising
Nationell ämneskategori
Datavetenskap (datalogi) Didaktik
Forskningsämne
Datavetenskap med inriktning mot datavetenskapens didaktik
Identifikatorer
urn:nbn:se:uu:diva-9551 (URN)978-91-554-7406-5 (ISBN)
Disputation
2009-03-06, Room 2446, Polacksbacken, Lägerhyddsvägen 2D, Uppsala, 10:15 (Engelska)
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Handledare
Tillgänglig från: 2009-02-13 Skapad: 2009-02-13 Senast uppdaterad: 2022-03-11Bibliografiskt granskad

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Eckerdal, Anna

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