HCCYMay 9, 2021

Designing a Web Application for Simple and Collaborative Video Annotation That Meets Teaching Routines and Educational Requirements

arXiv:2105.04022v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses a problem for school teachers in media education by providing a tool that fits their organizational needs, though it is incremental as it builds on existing CSCW insights for educational tools.

The researchers tackled the lack of easy-to-use, collaborative video annotation tools for school teachers by developing TRAVIS GO, a web application that integrates into teaching routines and supports quick collaborative work through features like tagging, commenting, and live collaboration.

Video annotation and analysis is an important activity for teaching with and about audiovisual media artifacts because it helps students to learn how to identify textual and formal connections in media products. But school teachers lack adequate tools for video annotation and analysis in media education that are easy-to-use, integrate into established teaching organization, and support quick collaborative work. To address these challenges, we followed a design-based research approach and conducted qualitative interviews with teachers to develop TRAVIS GO, a web application for simple and collaborative video annotation. TRAVIS GO allows for quick and easy use within established teaching settings. The web application provides basic analytical features in an adaptable work space. Key didactic features include tagging and commenting on posts, sharing and exporting projects, and working in live collaboration. Teachers can create assignments according to grade level, learning subject, and class size. Our work contributes further insights for the CSCW community about how to implement user demands into developing educational tools.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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