Page 9 - R_EdQuire White Paper Nov 2017 v3.4

EdQuire White Paper: Computer learning behaviour in K-12
Nov 2017 V3.4
Page 9 of 15

Figure 5 A) Proportion of top 10 On-Task activities, and B) proportion of top 10 Off-Task activities for boys

Figure 6 A) Proportion of top 10 On-Task activities, and B) proportion of top 10 Off-Task activities for girls

Discussion
The preponderance of word editing and on-line LMS activities may suggest a persistent use of computers for
delivery of content and as writing tools. Presentation software accounting for 22% also could suggest a
substantial amount of time spent on creating presentations, or less likely, reading material. We hope to use
analysis of our keyboard and clipboard activity data to reveal creative versus passive use of these tools.

Our further categorization of data into 33 generic activity types that reflect Bloom’s digital taxonomy, and
analysis by subject and student age, should give an even better understanding of computer use and cognitive
levels in different subjects and year grades.

Off-Task time showed significant gender differences. While average Off-Task time was favourably low,
subsets of students showed problematic computer use and this data may be useful in diagnosing and
intervening early in students either struggling or finishing early and requiring more challenges.

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