Skip to main content

Research on Habits and Homework vs Practice (Part 4)

In order to start making positive changes, we must tackle the two faulty assumptions that students will do the homework with fidelity, and then that students will be willing to ask questions in front of their peers to get help. While we can hope for the best, hope is not a plan. Planning for the worst means that we need to assume that students are not going to be doing their homework with fidelity, and that students will be unwilling to ask the questions they should be asking. This is true whether you are working with pre-adolescent middle school students, or a team of adult learners. Some may look at this as having a deficit mindset about students, but I liken it to defensive driving. We should still be encouraging students to practice, and celebrating student success. We also need to build into our assessment practices means of allowing students to see how their efforts at practice are positively impacting their ability to succeed.

Changing our assumptions means the practice of planning to start a new lesson by asking what questions people have over the previous lesson is naturally going to provide less than ideal results. The students who need the most guidance are the least likely to be ready or willing to ask, and the students who are already at the top of the class will be the ones to ask. Either way, we as the teacher have no real idea on where to pick up the lesson.

A better path forward starts with the assigning of homework. This presents an interesting dilemma in itself, but the first key is stop calling it homework and assigning grades to it. Calling it practice or "Check your understanding" and highly suggesting that students do it, but holding little more accountability than that to the actual completion seems counter-intuitive, but habit research shows is more effective. The key is in how this practice is still made to be important.

Rather than now starting the next day with the passive activity of asking for any questions, start with an active process. Split students into small groups (3 ideally), get them working on a vertical surface so you can see their work and they can see others, and give them a problem from the day before that you want to see if they can answer. One person has the writing utensil, the other two are there to help. If this is a discussion based class, do the same but have them talk. Each time one person guides the conversation, the other two have to listen for 30 seconds, and then can only ask clarifying questions. Ask a couple of the groups to share out their thoughts, and move on. You may even want to give each group an option of 3 problems to solve in whichever order they want, and each question gets rotated around the group.

From here as the educator you should have a handle on what comes next, a key point to review, an entirely new reteaching, or ideally the ability to move forward. The spot to move forward to is one level of complexity harder than yesterday, ideally in a place that students can start to use the information from yesterday until they reach a sticking point. Now, you guide them through this phase, only enough to get them past the friction, and then ask them to keep going. Keep scaffolding this way until you feel you have met your objective. Now, keeping Ebbinhaus in mind, it is time for students to touch back on their learning and get ready to check their understanding.

You will want to build in opportunities for students to experience the learning, and to prove to you they have learned the content, so more on that to come. But shift from asking for questions to giving them questions with some autonomy but also clear direction. And stop making "homework" something that you are telling them do, and make it practice they are choosing to complete.

Comments

Popular posts from this blog

Vulnerability

I cannot claim to be an expert on vulnerability, that title belongs to Brene Brown. Through her work, I have learned that being vulnerable is key to major breakthroughs in life. The opposite of this is true as well. Being unwilling to take risks, fearing failure or embarrassment, leads to stilted growth and eventual regression. The unwillingness to struggle in the short term leads to eventual major disappointment. That struggle is unpleasant, painful, draining, aggravating, defeating, and necessary. As a teacher, vulnerability arises when teaching a new grade level or content area. It happens when a re-designed lesson is taught for the first time, a new resource is used, and when being observed. Leaders face vulnerability when launching a new initiative and taking questions from stakeholders. Coaches face vulnerability when they meet with a new client or a client who operates outside the coach's wheelhouse of knowledge or skills. Humans are adept at procrastinating, which is a phys...

Navigating Uncertainty

One thing most people can agree on in early April 2024 is that no one knows what to expect right now. Federal agencies are being closed at a record pace, tariffs are rocking global finances, AI is changing faster than most people can keep up with, everyone has an opinion on this, and no one can anticipate what might happen next. The stock market is a prime example of the uncertainty, and on the day I started writing this the Dow Jones surged by 800 points and ultimately fell by 600. Today as I continue writing, it rose by nearly 3000 points. There are countless ways to reach when life becomes chaotic. Some people "don't look up" as the movie's title states, because as long as you can't see the asteroid heading straight towards you it does not exist. Some like to lean into the chaos, acting like Loki, the Norse god of mischief and disruption. Others protest through marches, speeches, and boycotts. All of these are human reactions on which I place no judgment. Based...

Scheduling - A School's Heuristic Problem

Students learn about algorithms in Computer Science to solve complex problems in reasonable times. Some issues are too complex even for the best algorithms to perfectly solve, and those are known as heuristics. The example commonly used is the traveling salesman. While a little outdated, and I have updated the example to be the logistics of UPS delivering packages, the story goes like this.  A traveling salesman arrives in a new town intending to get to each house in the most efficient path possible. They get a road map of all the homes they will visit and their hotel room and start mapping out paths. The math works out to show the following: Let's nerd out for a moment. Each number of possible paths is the mathematical factorial of the number of homes on the path. So 3 homes means 3*2*1 = 6 paths. 7 homes means 7*6*5*4*3*2*1 = 5040 homes. Just 10 homes, and we are at 10 factorial or 3,682,800 pathways! How can one possibly solve for the best route with that many choices? It is too...