Investigating children's deep learning of the tree life cycle using mobile technologies

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This study investigates children's problem-solving activities during mobile learning in an outdoor summer camp setting. We designed a mobile application to support children on trails at a nature center to apply strategies for decision making about tree life cycles. We analyzed video records of 10 groups (9 dyads and 1 triad) of children (ages 9–12) using primarily a thematic qualitative analysis of learning episodes. We analyzed how children used problem-solving strategies to identify and capture the tree cycle with the help of mobile tablets. We found that our mobile learning experience and its external representations supported the following: (1) engagement in deep learning in the natural setting as evidenced by coordinating decisions with photographic evidence; (2) use of procedural or tactical strategies to approach the problem; and (3) use of real-time decision making strategies about tree life cycles.

Original languageEnglish (US)
Pages (from-to)470-479
Number of pages10
JournalComputers in Human Behavior
Volume87
DOIs
StatePublished - Oct 2018

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

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