by Tyler Kron-Piatek | Nov 13, 2025 | Adjuncts, Faculty, Online Learning, Staff, Students
Have new graduate students starting in your program this upcoming semester? Have them start the semester off right by having them join one of the Graduate Student Technology sessions! These sessions introduce students to D2L, My Canisius, Google Drive, and more!...
by Tyler Kron-Piatek | Nov 10, 2025 | Adjuncts, Faculty, Staff, Technology in Teaching & Learning
Mark your calendars for the upcoming 2026 Winter Faculty Development Week (WFDW), January 5th to the 8th! Sessions include: Navigating Navigate360 with Dr. Maura Snyder, Assistant Professor, Communication, Faculty Fellow, Office of Academic Affairs How I Learned to...
by Tyler Kron-Piatek | Nov 3, 2025 | Adjuncts, Faculty, Online Learning, Staff, Technology in Teaching & Learning
The eLearning Industry is offering a 60 minute webinar titled “AI-Powered Virtual Training: An Actionable Plan For Impact” on November 20th at 12:00PM. Here is the full description: An Actionable Plan For Impact Artificial Intelligence has changed the...
by Tyler Kron-Piatek | Oct 29, 2025 | Adjuncts, Faculty, Staff, Technology in Teaching & Learning
D2L allows us to reset (i.e., delete) a student’s quiz attempt. This could be for a number of reasons, such as they accessed the quiz too early or simply technology issues. The short version: Go to the Quizzes tab. From there, we go to the Grade screen of the...
by Tyler Kron-Piatek | Oct 27, 2025 | Adjuncts, Faculty, Staff, Students
We are not talking about the recreational enjoyment, we are talking about someone attempting to fool you into giving up your credentials. According to the Verizon Data Breach Report, phishing accounted for 12% of breaches involving stolen credentials in...
by Tyler Kron-Piatek | Oct 20, 2025 | Adjuncts, Faculty, Staff, Students
The 2023 Verizon Data Breach Investigations Report (DBIR) found that 81% of confirmed breaches involved stolen or compromised credentials. This suggests that a large portion of the breaches can be attributed to weak, reused or stolen passwords. Passwords...
