Michelle Romanis Ttl Models

Instead of taking books home, mark them during the Learn phase. Sit next to a student, watch them work, and provide immediate feedback. Romanis calls this "assessment at the point of forgetting."

Before exploring the specifics of the michelle romanis ttl models, it is essential to understand the educational gap they were designed to fill.

Traditional lesson planning often follows a linear, time-based structure (e.g., Starter -> Main -> Plenary). While simple, this approach frequently ignores the non-linear reality of how the human brain actually learns. Michelle Romanis, an experienced educator and curriculum designer, observed three common failures in standard teaching models: michelle romanis ttl models

Romanis responded by developing a suite of TTL models that reposition assessment as the engine of learning, not just the final report card.

Her models shine in troubleshooting:

| Symptom | According to Romanis’ Model | Likely Cause | |--------|----------------------------|---------------| | Output stuck ~1.5V | Totem-pole shoot-through | Stuck input at 0.8-1.2V | | Input current too high (>3mA) | Multi-emitter base resistor shorted | ESD damage to input | | Output LOW but >0.8V | Saturation failure of pull-down transistor | Overloaded output (too many fans) | | Floating input reads LOW | Wrong – should read HIGH | Missing pull-up resistor on base of multi-emitter |

She also provides a rule of thumb: If you measure 0V on a TTL input, the driving gate must sink 1.6mA. If it cannot (e.g., damaged open-collector), the input will drift into the transition region. Instead of taking books home, mark them during

This is where Romanis diverges from previous theorists. Modification requires technology to meaningfully redesign the learning task.

Do not start with a "fun" hook. Start with a low-stakes retrieval quiz from last week (Assess). This primes the brain for learning. Before exploring the specifics of the michelle romanis

Romanis argues that many ed-tech tools fail because they increase extraneous cognitive load. The CLF is a pre-implementation checklist:

Application: Only tools that pass all four filters with a “low load” rating are approved for use in a given lesson. Romanis famously states: “Every unnecessary click is a cognitive tax on a working memory that could be processing math or vocabulary.”