发表机构
Central South University; Hong Kong University of Science and Technology (Guangzhou); Hong Kong University of Science and Technology（中南大学; 香港科技大学（广州）; 香港科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出移动视觉分析系统MobileGroupVis，适配小屏幕触控交互，用于现场分析课堂小组讨论，可辅助教师监控小组、诊断异常并开展课堂干预。
AI 中文摘要
基于小组讨论的教学被广泛用于促进协作学习，但实体课堂中的教师往往难以同时监控多个小组并在干预前快速诊断目标小组。现有视觉分析工具主要支持桌面端的事后分析，对现场巡堂教学的支持有限。为解决这一缺口，我们提出MobileGroupVis，一款用于课堂小组讨论现场分析的移动视觉分析系统。MobileGroupVis将多小组监控、单小组诊断和教学干预整合为适配小屏幕触控交互的简洁分析工作流。该系统由轻量流分析管道驱动，该管道将小组音频转换为结构化讨论数据，并通过对话分析模块进一步提取互动模式、话题进展和话题偏差。为实现概览式一瞥感知与可追溯诊断，我们设计了六个协调视图，包括一个紧凑符号，其对单词数、互动强度和话题偏差进行视觉编码，以实现高效的跨小组比较与异常定位，以及用于观点演变、互动动态、话题覆盖和对话记录的详细视图。我们通过两个案例研究和专家访谈对MobileGroupVis进行评估，结果提供了初步证据，表明MobileGroupVis可支持教师理解讨论过程、识别需要关注的小组并促进课堂干预。
英文摘要
Group discussion-based teaching is widely used to foster collaborative learning, yet teachers in physical classrooms often struggle to simultaneously monitor multiple groups and quickly diagnose a target group before intervening. Existing visual analytics tools primarily support post-hoc analysis on desktop, providing limited support for in-situ walk-around teaching. To address this gap, we present MobileGroupVis, a mobile visual analytics system for in-situ analysis of classroom group discussions. MobileGroupVis integrates multi-group monitoring, single-group diagnosis, and instructional intervention into a concise analytical workflow tailored for small-screen touch interaction. The system is powered by a lightweight streaming analysis pipeline that converts group audio into structured discussion data and further extracts interaction patterns, topic progression, and topic deviation through a dialogue analysis module. To enable both glanceable overview and traceable diagnosis, we design six coordinated views, including a compact glyph that visually encodes word count, interaction intensity, and topic deviation for efficient cross-group comparison and anomaly localization, along with detailed views for opinion evolution, interaction dynamics, topic coverage, and dialogue records. We evaluate MobileGroupVis through two case studies and expert interviews. The results provide preliminary evidence that MobileGroupVis supports teachers in understanding discussion processes, identifying groups in need of attention, and facilitating in-class intervention.
CommentsAccepted by IEEE VIS'26
