At this year’s European Conference on Pattern Languages of Programs (EuroPLoP), Seidenberg Professor Mary Tedeschi presented her latest research, Reflections – Remote Teaching Patterns in a Hybrid Teaching Context. Returning for her fourth EuroPLoP, the premier European conference on patterns and pattern languages which showcases how design patterns capture and share expertise, tacit knowledge and research findings in a unique way, Professor Tedeschi shared insights from her innovative work on hybrid education models—a project that marks her first collaboration with students on a conference paper. “I’m very proud of the work we did together and couldn’t be happier with the results,” she remarked, reflecting on the dedication and creativity her student collaborators brought to the project.
The students who collaborated with Professor Tedeschi on the paper are Aman Prakash, Deep Manish Mehta, Tanmay Mehta, Yousuf Afreen, Pulkit Singh, and Sejal Arora.
The research examines the adaptation of remote teaching patterns, originally developed during the COVID-19 pandemic, for a hybrid model where in-person and remote learning intersect within scheduled class hours. Drawing from her personal experience, Professor Tedeschi addresses both challenges and opportunities unique to hybrid education, particularly focusing on sustaining student engagement. By defining terms such as synchronous, asynchronous, flipped, and HyFlex, the paper establishes a shared vocabulary to guide educators and designers as they implement hybrid strategies.
To add practical depth and better verify the investigated patterns, Professor Tedeschi and the students added a survey of 213 students to the study. This data-backed approach underscores the effectiveness of their refined teaching patterns, contributing valuable, real-world insights to the paper and the educational community.
As hybrid models gained traction and practically became the norm during the pandemic, Professor Tedeschi’s work exemplifies Seidenberg’s commitment to innovation in experiential learning, as well as the value Seidenberg puts on collaborative research between students and faculty.
The Business Council of Westchester highlight Pace’s new Bachelor of Science in Artificial Intelligence, launching in Fall 2026. Offered through the Seidenberg School of Computer Science and Information Systems, the program—Westchester’s first undergraduate AI degree—will train students in machine learning, data analytics, and AI ethics.
Pace University is preparing students for the rise of AI with the addition of a new Bachelor of Science in Artificial Intelligence. Students will learn critical skills in machine learning, data analysis, and AI ethics. Pace is the first school in Westchester to offer an undergraduate degree in AI, and the program is now accepting applications for next fall.
Pace University sponsored a workshop with Dr. Nancy Peluso, funded by the Mellon grant: “Islands, Archipelagoes, and Cultural Ecologies.” The workshop, titled, “How to Tell Stories with Maps” grappled with how to use maps to tell stories about changes in the environment over time and its relationship to human migration.