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

Annika Silvervarg, Magnus Haake, Agneta Gulz

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
PublisherSpringer
Pages532-544
Number of pages13
ISBN (Print)9783319938424
DOIs
Publication statusPublished - 2018 Jan 1
Event19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, United Kingdom
Duration: 2018 Jun 272018 Jun 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10947 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Artificial Intelligence in Education, AIED 2018
Country/TerritoryUnited Kingdom
CityLondon
Period2018/06/272018/06/30

Subject classification (UKÄ)

  • Learning

Free keywords

  • Challenge
  • Educational software
  • Meaning-making
  • Pausing
  • Performance
  • Perseverance
  • Teachable agent

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