AI in education can systems utilize student data, such as their learning pace, strengths, weaknesses, and preferences, to create tailored learning pathways. This can involve:
Adaptive Learning: Adjusting difficulty levels in real-time based on student performance.
Content Recommendations: Suggesting relevant learning materials based on individual needs.
Personalized Feedback: Providing specific insights and guidance based on student work.
Haven't we heard such things before?
IT's responsibility: "It is the IT staff’s role to ensure the faculty have the IT they need. Even if they are not familiar with the tools or if they were not involved in the decision-making, they must provide it." IT departments should prioritize enabling educators rather than hindering them with unnecessary restrictions.
The ICAP framework is a learning theory that classifies learning activities into four distinct modes based on the level of cognitive engagement they elicit: Passive, Active, Constructive, and Interactive. Each mode is associated with specific observable student behaviors and plausible cognitive processes, with Interactive being the most effective for deep learning and Passive the least.
Humanizing pedagogy is rooted in Paulo Freire's work on critical pedagogy and aims to create inclusive, equitable, and empowering learning experiences. It emphasizes critical consciousness-building, interrogating power structures, and recognizing the sociocultural contexts that influence teaching and learning.
Director of Teaching and Learning Innovation at a community college in New England
Retired k-12 science/ math/ technology teacher/ technology integration specialist/ coordinator