Research

A retrospective on the shared architecture behind Orthograph and Calcularis, with data from more than 20,000 children.

Independent reviewers at Instructure have validated Constructor Practice Science Labs as meeting the "Demonstrates a Rationale" standard under the Every Student Succeeds Act — confirming alignment with ESSA Level IV criteria and establishing a foundation for future evaluation studies examining how Science Labs relates to student learning outcomes.

This paper presents Race lens, a novel application utilizing advanced deep learning and computer vision models for comprehensive analysis of racing photos.

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.

In this paper we investigate the modification of a standard meta-learning pipeline. The proposed method simultaneously utilizes information from several meta-training tasks in a common loss function.

This study used Calcularis 2.0 with additional training forms. It found that the subjects improved their arithmetic skills even more than with older versions of Calcularis.

The above-listed publications cite the raw value and z-value improvements of the study participants, which is common for international publications.

Continuing on from Part 1, which appeared in the same publication, this study looked at the influence of Calcularis on mental irregularities, maths performance anxiety and the children’s own perception of their skills.

This publication looked at the direct, longer-term effects of Calcularis. The children who participated in the study trained for 20 minutes five days per week over a period of six to eight weeks. It was concluded that Calcularis doesn’t simply lead to an improvement in the short term, but also enables learners to build on their progress over a longer period.

The authors of this study instructed one third of the participants to practise with Calcularis and another third to practise with Orthograph (the training control group).