MPI-SWS researchers receive a Best Paper Award at SIGCSE TS 2026

MPI-SWS logo (© MPI-SWS)

MPI-SWS researchers Tung Phung and Adish Singla, jointly with colleagues from the University of Michigan, the University of Minnesota and Microsoft, have received a Best Paper Award at the 57th ACM Technical Symposium on Computer Science Education (SIGCSE TS 2026), for their paper titled Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education. At SIGCSE TS 2026, only 9 papers were given this award out of 174 accepted papers. Congratulations!