Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms

被引：49

作者：

Aslan, Sinem ^{[1
]}

Alyuz, Nese ^{[1
]}

Tanriover, Cagri ^{[1
]}

Mete, Sinem E. ^{[2
]}

Okur, Eda ^{[1
]}

D'Mello, Sidney K. ^{[3
]}

Esme, Asli Arslan ^{[1
]}

机构：

[1] Intel Corp, Hillsboro, OR 97124 USA

[2] Bahcesehir Univ, Istanbul, Turkey

[3] Univ Colorado, Boulder, CO 80309 USA

来源：

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS | 2019年

关键词：

Learning Analytics; Affective Computing; Student Engagement; Real-time; Dashboards;

D O I：

10.1145/3290605.3300534

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We developed a real-time, multimodal Student Engagement Analytics Technology so that teachers can provide just-in-time personalized support to students who risk disengagement. To investigate the impact of the technology, we ran an exploratory semester-long study with a teacher in two classrooms. We used a multi-method approach consisting of a quasi-experimental design to evaluate the impact of the technology and a case study design to understand the environmental and social factors surrounding the classroom setting. The results show that the technology had a significant impact on the teacher's classroom practices (i.e., increased scaffolding to the students) and student engagement (i.e., less boredom). These results suggest that the technology has the potential to support teachers' role of being a coach in technology-mediated learning environments.

引用

页数：12

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