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Designing for Success: The Principles of Competency-Based Curriculum Mapping Software in Higher Education

Creatrix Campus

Leverage Technology and Data Analytics To increase curriculum efficacy, leverage technology and data analytics. From the first stages of planning to the complete implementation and use, these processes provide guidance. Allocate resources, plan training, and establish a thoroughly planned deadline.

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Developing Institutional Level AI Policies and Practices: A Framework

WCET Frontiers

Over the last twelve months, institutions have scrambled to not only better understand generative Artificial Intelligence (AI) and its impact on teaching and learning, but also to determine the best ways to provide guardrails and guidance for faculty, staff, and students. And it is often institutional administrators who lead this work.

Policy 59
university leaders

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Designing for Success: The Principles of Competency-Based Curriculum Mapping Software in Higher Education

Creatrix Campus

Leverage Technology and Data Analytics To increase curriculum efficacy, leverage technology and data analytics. From the first stages of planning to the complete implementation and use, these processes provide guidance. Allocate resources, plan training, and establish a thoroughly planned deadline.

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How to take the ‘value lens’ approach to higher education

University Business

Existing strategic resource planning models, while beneficial, often fail to provide actionable day-to-day guidance that aligns with an institution’s core mission and distinctions.

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7 missteps university leaders must avoid in their AI approach

EAB

This April, Khan Academy announced “ Khanmigo ”, an AI-powered tutor that provides personalized one-on-one tutoring and real-time guidance to students as they conduct tasks from writing papers to coding software. Instead, higher education leaders should proactively develop an institutional AI plan tailored to their unique needs and goals.