Skip to content

SAVVY interactive visual analytics system

Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

SAVVY is a research-developed interactive visual analytics system that helps teachers analyze student attention patterns and revise instructional videos.

Components

  • SAVVY interactive visual analytics system with Concept, Group, and Individual modules: SAVVY is an interactive visual analytics system that integrates visual and auditory attention to support top-down exploration of student attention variations in video-based learning. It comprises three coordinated visualization modules linked by a shared timeline: a Concept Module presenting course content structure and concept-level attention distribution, a Group Module visualizing group attention trends alongside audiovisual information density, and an Individual Module providing multi-temporal-resolution attention trajectories. The modules incorporate "course content structure, audiovisual information density, and attentional resource allocation," enabling teachers to analyze causes of attention fluctuations and inform instructional video improvement through a top-down workflow from course overview to individual verification. (Shixian Zhou et al. (2026))
  • Six design requirements by course concept, student group and individual student: the requirements derived with education experts that organise the system's views

Claims

-

Key Sources

  • Shixian Zhou, Minghuan Shen, Xiaolin Wen, Zijun Qiu, Yongliang Jiang, Xiangyang Wu, Fei Wu, Yong Wang, and Zhiguang Zhou. (2026). SAVVY: Student Attention Visualization for Video-based Learning Analysis. arXiv. https://arxiv.org/abs/2607.29413
Page metadata
Field Value
type product
id savvy-interactive-visual-analytics-system
title SAVVY interactive visual analytics system
description SAVVY is a research-developed interactive visual analytics system that helps teachers analyze student attention patterns and revise instructional videos.
status review
product_kind software
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.