Paper Info
Title
Guidance counselor reports of the ASSISTments college prediction model (ACPM).
Abstract
Advances in the learning analytics community have created opportunities to deliver early warnings that alert teachers and instructors when a student is at risk of not meeting academic goals [6], [71]. Alert systems have also been developed for school district leaders [33] and for academic advisors in higher education [39], but other professionals in the K-12 system, namely guidance counselors, have not been widely served by these systems. In this study, we use college enrollment models created for the ASSISTments learning system [55] to develop reports that target the needs of these professionals, who often work directly with students, but usually not in classroom settings. These reports are designed to facilitate guidance counselors' efforts to help students to set long term academic and career goals. As such, they provide the calculated likelihood that a student will attend college (the ASSISTments College Prediction Model or ACPM), alongside student engagement and learning measures. Using design principles from risk communication research and student feedback theories to inform a co-design process, we developed reports that can inform guidance counselor efforts to support student achievement.
Year
DOI
Venue
2017
10.1145/3027385.3027435
LAK
Keywords
Field
DocType
Intelligent tutoring systems,stakeholder reports,predictive analytics,guidance counselors,college attendance,student engagement
Design elements and principles,Medical education,Learning analytics,Predictive analytics,Psychology,Student engagement,Pedagogy,Student achievement,Higher education
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
7
Name
Order
Citations
PageRank
Jaclyn Ocumpaugh116518.90
Ryan S. J. d. Baker21220111.60
Maria Ofelia Clarissa Z. San Pedro3556.69
M. Aaron Hawn400.34
Cristina Heffernan51159.83
Neil T. Heffernan61087135.49
Stefan A. Slater700.34