Achievement goal orientation profiles and performance in a programming MOOC

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It has been suggested that performance goals focused on appearing talented (appearance goals) and those focused on outperforming others (normative goals) have different consequences, for example, regarding performance. Accordingly, applying this distinction into appearance and normative goals alongside mastery goals, this study explores what kinds of achievement goal orientation profiles are identified among over 2000 students participating in an introductory programming MOOC. Using Two-Step cluster analysis, five distinct motivational profiles are identified. Course performance and demographics of students with different goal orientation profiles are mostly similar. Students with Combined Mastery and Performance Goals perform slightly better than students with Low Goals. The observations are largely in line with previous studies conducted in different contexts. The differentiation of appearance and normative performance goals seemed to yield meaningful motivational profiles, but further studies are needed to establish their relevance and investigate whether this information can be used to improve teaching.
Titel på värdpublikationITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
Antal sidor7
UtgivningsortNew York, NY, USA
Utgivningsdatumjuni 2020
ISBN (elektroniskt)978-1-4503-6874-2
StatusPublicerad - juni 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangACM Conference on Innovation and Technology in Computer Science Education - Trondheim, Norge
Varaktighet: 15 juni 202019 juni 2020


  • 516 Pedagogik

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