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This paper presents the design process of a teacher-facing dashboard of ASSISTments for middle school mathematical teachers with the purpose of connecting analytics data with instructors’ practice. ASSISTments is an intelligent tutoring system that provides adaptive tutoring functionality and reports to US-based middle school teachers. This teacher dashboard consists of five separate reports built with data and models currently available in the ASSISTments. The theoretical framework is drawn from the design principles of learning dashboards and data-driven decision making. Theories focusing on relationship between emotions and learning, especially how affective states reflect the perceived-task-difficulty will also be explored.