Perseverance Is crucial for learning. “OK! but Can I take a break?”

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

In a study with 108 10- to 12-year-olds who used a digital educational game targeting history, we addressed the phenomenon of perseverance, that is, the tendency to stick with a task even when it is challenging. The educational game was designed to make all students encounter tasks they did not succeed to solve, at which point they were offered a set of choices corresponding to perseverance and non-perseverance. Methods used were behavioral log data, post-questionnaires, and an in-game questionnaire conducted by a game character, who asked the students about the reason for their choice. Overall, we found no differences between high and low-perseverance students as to their experiences of effort, difficulty, and learning, and neither in their self-reported motives for persevering – when doing so. With respect to performance, however, high-persevering students solved significantly more tasks at higher difficulty levels. Comparing high-perseverance students who tended to take a break directly after a failed test – before they continued with the same task – with those who did not take a break, we found no significant differences, indicating that taking a break is not detrimental to learning and perseverance.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Linköping University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Lärande

Nyckelord

Originalspråkengelska
Titel på värdpublikationArtificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
FörlagSpringer Verlag
Sidor532-544
Antal sidor13
ISBN (tryckt)9783319938424
StatusPublished - 2018 jan 1
PublikationskategoriForskning
Peer review utfördJa
Evenemang19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, Storbritannien
Varaktighet: 2018 jun 272018 jun 30

Publikationsserier

NamnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volym10947 LNAI
ISSN (tryckt)0302-9743
ISSN (elektroniskt)1611-3349

Konferens

Konferens19th International Conference on Artificial Intelligence in Education, AIED 2018
LandStorbritannien
OrtLondon
Period2018/06/272018/06/30