Want to encourage students to find unexpected connections across content? Here’s a quick framework based on the most important terms from both bits of content.
All AboutInductive Learning
When students think inductively, we give them concrete examples and allow them to:
- note the important details
- discover patterns, categories, or groups
- create a generalization which summarizes their findings
Inductive thinking is messy but reflective of authentic decision-making, discovery, and creativity. Here are articles to help you incorporate inductive thinking into your lessons:
Discovering what is interesting and unexpected about a triangle’s angles. What twists have I unintentionally spoiled for my students over the years?
It’s easy to fall in love with chasing the newest technology to use in the classroom. But sometimes, the perfect tool is a plain old calculator. We’ll be using this tool to develop curiosity about math.
Using Hilda Taba’s model of inductive thinking, use your students’ prior knowledge to develop a statement about expected class behavior.
Let’s look at a couple ways to bring inductive thinking into word studies. We’ll examine simple plural rules all the way up to etymology of foreign words in English.
Sure, these may be games at heart, but you can take them to the next level by requiring students to develop strategies, write them out, and then use them to challenge you to a match! Unlike a game of chess, each of these activities are incredibly simple, so students can quickly formulate and test strategies.
With inductive learning, we still define terms, explain rules, and practice, but the order is different. We’re harnessing gifted students’ natural abilities to enhance our lessons.
Gifted students spot patterns quicker than the rest of us. They learn faster. They naturally move from concrete to abstract, just as Holmes inferred Watson’s hometown from his shoes. Let’s set up our lessons to take advantage of this natural ability.
Last time, we discussed a few ways to help students search Google. Google helps us find related websites, however its ranking system does not necessarily return the most reliable pages. The final step requires our human mind to make difficult decisions that computers can only approximate. Simply choosing the top result is not enough. We must teach our students to evaluate websites.