I first ran into Behaviorism in child psychology classes I took for my Early Childhood Education credential (ECE). It was developed by a renowned psychologist named John B. Watson and formed into the Theory of Behaviorism by another famous psychologist, B.F. Skinner. The technical definition they provide is:

“…scientific and objective methods of investigation concerned with observable stimulus-response behaviors; all behaviors are learned through interaction with the environment.”

They used the infamous example of Pavlov’s Dogs. No surprise, with this gobbledegook definition that used dog training as the example, I laughed, rejected it, and forgot it.

Fast forward a decade, to a time I was studying for my teaching credential. One of my classes reviewed education pedagogies such as Purpose-driven Learning, the Socratic Method, Depth of Knowledge, Unschooling, and Behaviorism. Applied to education, Behaviorism focuses on:

“… conditioning student behavior with various types of reinforcements and consequences…”

I still cringe at words like “conditioning” and “consequences”, but in the fullness of the class, I came to understand that whether teachers know it or not, they use Behaviorism as an effective, reliable teaching tool. I’ll get back to that later but first, I want to deconstruct how a theory that started with training dogs is now a cornerstone in education pedagogy.

Note: I have posted about this before. If it sounds familiar, that’s why.

What is Behaviorism in Education?

Behaviorism in the classroom revolves around observable measurable behaviors. This is actions, not thoughts or feelings. Since its introduction to education in the 1950’s, it has become a teacher’s best friend in helping her/him to define classroom behaviors that shape order and enhance learning. It establishes boundaries for students, provides expectations that they can rely on, and offers a reliable way to self-assess student achievement of class goals:

According to Skinner, behavior is a learned response reinforced by the consequences resulting from that behavior. For instance, if students are rewarded for doing extra work, they’re more likely to repeat that behavior.

It accomplishes much of what B.F. Skinner predicted when he suggested it as an effective methodology for revolutionizing an education system that didn’t seem to work anymore. It has become popular in education theory by other names such as PBIS (Positive Behavioral Intervention and Supports) and through the use of apps like Too Noisy or Hero K12.

Click here to accept Marketing cookies and load this content

Why use Behaviorism Strategies in Teaching?

The short answer is, for many, Behaviorism works. Because of its clear guidelines and easy-to-understand cause-and-effect relationships, it improves student performance and discourages classroom behavior that interferes with education goals. It manages to quantify responses to notoriously subjective issues (like the student who needs to entertain classmates) and encourages objective and measurable metrics that provide a win-win in the difficult area of student assessment. Students appreciate an even-handed approach which favors no one and everyone at the same time. Teachers appreciate an unbiased framework that is defensible when discussing issues with parents, grade-level team members, and/or administrators. When stringently applied in an objective manner, students get more out of class lessons, get better grades, and classroom behavior is more conducive to everyone’s learning.

So, if you’ve tried other classroom management strategies to no avail, try this one for three months. In many cases, it will be exactly what you need.

How to use it

The application of Behaviorism relies on observable behavior, nothing else. It rewards the positive, punishes the negative, and in that way shapes student actions. It’s unbiased, without opinion, must be consistently enforced, and can’t be influenced by thoughts or emotions. Most teachers already use this strategy and appreciate the results without even knowing that’s what they’re doing. For example, when they thank students for sitting down quickly upon entering class or for starting a warm-up activity without being told to, the teacher is using a behavioral strategy. When homework is assigned with the expectation that students will return to class the next day with it completed, teachers are training student learning behavior. If your school uses positive reinforcement tools like Class Dojo, Empatico, Hero K12, or Sown to Grow, they are acknowledging the effectiveness in education ecosystems of Skinner’s Behaviorism.

There are four types of reinforcement:

1. Positive reinforcement concentrates on applauding good behavior
2. Negative reinforcement punishes the unacceptable
3. Presentation punishment applies a negative outcome in response to a behavior that is not desired
4. Removal reinforcement simply eliminates the negative stimuli.

Each of these can be equally effective in helping students achieve their learning goals.

How you already use it

Here are ways you already use it without thinking about it:

• grading papers and then accumulating the grades for a summative report (such as report cards)
• keeping kids in class instead of releasing them to recess to give them time to finish work they didn’t do
• providing treats for right answers
• applying consequences for the use of cellphones in class when they aren’t allowed
• setting classroom rules at the beginning of the school year
• using award systems like Classroom Dojo or Hero K12
• awarding badges for achievements and/or the completion of specific skills, tasks, or units
• timing a test or another classroom activity, expecting students to complete the task within the time parameters
• providing rubrics that spell out expectations for a project
• modeling appropriate behavior as an encouragement for students to do the same
• sharing samples of projects students will be completing as examples of what you expect
• expecting students who are late for class to get notes from parents or a teacher before being admitted to class
• expecting student athletes to maintain a C average (or whatever your school requires) to participate in sports

You can start the application of Behaviorism by applauding good behavior but include evidence to support it as well as making clear your willingness to use logical consequences that don’t embarrass the student if behavior is unacceptable.

Click here to accept Marketing cookies and load this content

Conclusion

Applying Behaviorism to your classes could be one of the easiest changes you make to your classroom management with the greatest chance for success. I’d love to hear your experiences with this pedagogy.

Here’s the list of articles:

Constructivism

Depth of Knowledge (DoK)

Flipped Classroom

Frayer Model

Growth Mindset

Habits of Mind

Inquiry-based Teaching

Mastery-based Learning

Morning Meeting

Orton-Gillingham

Personalized Learning

Project-based Learning (PBL)

Purpose-driven Learning

SAMR Model

Socratic Method

Standards-based Grading

Understanding By Design

Unschool

VARK model

Visible Learning

Whole Brain Teaching

Copyright ©2026 askatechteacher.com – All rights reserved.

Here’s the sign-up link if the image above doesn’t work:

https://forms.aweber.com/form/07/1910174607.htm

“The content presented in this blog are the result of creative imagination and not intended for use, reproduction, or incorporation into any artificial intelligence training or machine learning systems without prior written consent from the author.”

Jacqui Murray has been teaching K-18 technology for 30 years. She is the editor/author of over a hundred tech ed resources including a K-12 technology curriculum, K-8 keyboard curriculum, K-8 Digital Citizenship curriculum. She is an adjunct professor in tech ed, Master Teacher, freelance journalist on tech ed topics, and author of the tech thrillers, To Hunt a Sub and Twenty-four Days. You can find her resources at Structured Learning.

Constructivism is a student-centered philosophy that emphasizes hands-on learning and active participation in lessons. Constructivists believe that learning is an active process so the most effective way to learn is through discovery. New information is blended into prior knowledge. Learning is constructed, not acquired, and is based on the fullness of a person’s individual lifetime of learning. It is continuously tested as new ideas are added, either causing long-held beliefs to evolve or be replaced.

Constructivism is not a pedagogy or a theory. It is a mindset — a way of thinking used to guide learners.

(more…)

I love sharing the personal experiences of educators. We all do things differently, in good ways, providing lots of options for diversity among students who don’t get the first or second way we teach a lesson. Brandon Collis, electrical engineer turned private tutor, founder of ClassQuill (https://classquill.com) has ideas on tutoring using AI.

How to Choose (and Test) Tutoring Software Before You Buy

Education tutoring offers personalized learning, helping students progress at their own pace and address performance gaps. However, the right technology is essential to deliver that support efficiently. Before committing to a platform, educators should focus on several key factors to ensure the long-term success of their tutoring program. (more…)

• Take-aways
• Pros
• Cons
• Seminars

Take-aways

(more…)

1. incorporate data-driven leadership
2. adopt strategic decision making
3. insight into customer (people in general)
4. learn to navigate change
5. become cross-functional

Leadership today looks very different from what it did even a decade ago. Modern leaders operate in a world where information moves quickly, markets change rapidly, and business decisions often need to be made in real time. Success is no longer based solely on experience or intuition. Instead, organizations increasingly rely on data to guide strategy, improve operations, understand customers, and identify new opportunities.

Image source: Pexels–https://www.pexels.com

Before professionals develop advanced business analytics expertise, many of the foundational skills begin in the classroom. K–12 education plays an important role in helping students build the mathematical reasoning, problem-solving abilities, and analytical thinking that modern workplaces demand. From learning how to interpret graphs and percentages in middle school to exploring probability and statistics in high school, students gain experience working with data and identifying patterns. As organizations increasingly rely on evidence-based decision-making, these early educational experiences provide the groundwork for future leaders who must analyze information, evaluate outcomes, and make informed decisions in a data-driven world.

From global corporations to growing startups, leaders are expected to understand the information behind business performance. Every department generates data, whether it’s sales figures, customer feedback, employee productivity metrics, or marketing campaign results. The ability to interpret this information and turn it into meaningful action has become one of the most valuable leadership skills in today’s business environment.

As companies continue investing in digital transformation and technology-driven decision-making, leaders who understand analytics are becoming increasingly important. They are better equipped to navigate uncertainty, identify opportunities, and make informed choices that support long-term organizational success.

Data-Driven Leadership Is Becoming the New Standard

Organizations today generate more information than ever before. Every customer interaction, financial transaction, operational process, and marketing initiative produces data that can help leaders understand what’s happening within their business.

This abundance of information has transformed how leadership decisions are made. Rather than relying solely on instinct, leaders now have access to data that can help them evaluate performance, measure results, and identify trends. This shift has made analytical thinking an essential leadership skill.

As a result, many professionals seeking leadership roles are pursuing advanced education to strengthen their analytical capabilities. For example, individuals who want to improve their ability to interpret business data and support strategic decision-making often explore programs such as an online MS in business analytics to develop expertise in data analysis, predictive modeling, and business intelligence.

Florida Institute of Technology offers an online Master of Science in Business Analytics designed to help professionals build advanced analytical and decision-making skills. The program focuses on areas such as data mining, predictive analytics, business intelligence, and data-driven strategy, providing students with knowledge that can be applied across a variety of industries and leadership roles.

As organizations continue prioritizing data-driven decision-making, leaders with strong analytics skills are becoming increasingly valuable assets.

Business Analytics Improves Strategic Decision-Making

One of the primary responsibilities of any leader is making decisions that guide the organization toward its goals. Business analytics helps improve these decisions by providing accurate, objective information.

Without data, leaders may rely on assumptions that can lead to costly mistakes. Analytics allows decision-makers to evaluate facts, identify trends, and understand the potential impact of various strategies before taking action.

For example, a company considering expansion into a new market can analyze customer demand, competitive conditions, and financial projections before committing resources. This approach reduces uncertainty and supports more informed planning.

Analytics also helps leaders monitor progress over time. By tracking key performance indicators and business metrics, organizations can determine whether their strategies are producing desired outcomes.

Leaders who use data effectively often make decisions with greater confidence because they understand the evidence supporting their choices.

Leaders Must Understand Customer Insights

Understanding customers has always been important, but today’s organizations have access to far more information about customer behavior than ever before.

Analytics helps leaders identify what customers want, how they interact with products or services, and what factors influence purchasing decisions. These insights allow organizations to create more relevant experiences and improve customer satisfaction.

For example, businesses can analyze buying patterns, website behavior, customer feedback, and engagement metrics to better understand their audience. This information helps guide product development, marketing strategies, and service improvements.

Customer expectations continue to evolve, making data-driven insights increasingly valuable. Organizations that understand customer needs are often better positioned to retain existing customers and attract new ones.

Leaders who can interpret customer data effectively help create stronger relationships and support sustainable business growth.

Analytics Supports Organizational Performance and Efficiency

Modern organizations rely on analytics to improve efficiency and optimize performance across multiple departments.

Leaders use data to evaluate productivity, identify bottlenecks, and uncover opportunities for improvement. Rather than relying on anecdotal observations, analytics provides measurable evidence that supports operational decisions.

For example, manufacturing companies may use analytics to improve production efficiency. Service organizations may analyze workflow data to reduce delays and improve customer experiences. Human resources teams can evaluate workforce trends to support employee engagement and retention.

The ability to measure performance accurately is critical for continuous improvement. Analytics helps leaders understand what is working, what needs attention, and where resources should be allocated.

Organizations that embrace data-driven performance management often achieve better outcomes because decisions are supported by reliable information rather than guesswork.

Business Analytics Helps Leaders Navigate Change

Change is a constant part of modern business. Market conditions shift, customer preferences evolve, technologies advance, and economic conditions fluctuate.

Leaders who understand analytics are often better equipped to navigate these changes because they can use data to identify emerging trends and respond proactively.

Predictive analytics, for example, allows organizations to forecast future outcomes based on historical patterns. This capability helps leaders prepare for potential challenges and opportunities before they occur.

During periods of uncertainty, data provides valuable guidance. Rather than reacting based on assumptions, leaders can evaluate evidence and make adjustments that align with organizational goals.

The ability to adapt quickly and confidently is increasingly important in competitive markets, making analytics an essential tool for effective leadership.

Analytics Enhances Cross-Functional Leadership

Leadership rarely operates within a single department. Modern leaders often oversee initiatives that involve multiple teams and functions across an organization.

Analytics helps create a common language that supports collaboration. Marketing, finance, operations, human resources, and sales teams all rely on data to measure performance and achieve objectives.

When leaders understand how different departments use data, they can make better-informed decisions that support the organization as a whole. Shared metrics and performance indicators help align teams around common goals.

Cross-functional leadership becomes more effective when decisions are supported by objective information rather than competing opinions.

Analytics provides visibility across the organization, helping leaders understand how various functions contribute to overall success and where improvements may be needed.

Business analytics has become one of the most important leadership skills in the digital age. Organizations depend on data to guide decisions, improve performance, understand customers, and respond to changing market conditions. As a result, leaders who can interpret and apply data effectively are becoming increasingly valuable.

Analytics supports stronger strategic planning, better customer insights, improved operational efficiency, and more effective change management. It also enhances collaboration across departments and helps organizations align efforts around measurable goals.

As businesses continue adopting data-driven approaches, the demand for analytically minded leaders will only continue to grow. Professionals who develop these skills position themselves to make more informed decisions, lead with greater confidence, and contribute meaningfully to organizational success.

In today’s business environment, leadership and analytics are no longer separate disciplines. Together, they form a powerful combination that helps organizations navigate complexity, seize opportunities, and achieve long-term growth.

Preparing Future Leaders Through Education

The growing importance of business analytics highlights the long-term value of strong mathematics and statistics education. The skills students develop in K–12 classrooms—such as critical thinking, data interpretation, logical reasoning, and quantitative analysis—often serve as the foundation for future academic and professional success. Whether pursuing careers in business, technology, healthcare, education, or public service, individuals who are comfortable working with data are better prepared to navigate complex challenges and contribute to informed decision-making. By strengthening these skills early through math and statistics education, schools help prepare the next generation of leaders for an increasingly data-focused economy.

Business analytics has become one of the most important leadership skills in the digital age. Organizations depend on data to guide decisions, improve performance, understand customers, and respond to changing market conditions. As a result, leaders who can interpret and apply data effectively are becoming increasingly valuable.

Analytics supports stronger strategic planning, better customer insights, improved operational efficiency, and more effective change management. It also enhances collaboration across departments and helps organizations align efforts around measurable goals.

As businesses continue adopting data-driven approaches, the demand for analytically minded leaders will only continue to grow. Professionals who develop these skills position themselves to make more informed decisions, lead with greater confidence, and contribute meaningfully to organizational success.

In today’s business environment, leadership and analytics are no longer separate disciplines. Together, they form a powerful combination that helps organizations navigate complexity, seize opportunities, and achieve long-term growth.

–image credit Deposit Photos

Copyright ©2026 askatechteacher.com – All rights reserved.

Here’s the sign-up link if the image above doesn’t work:

https://forms.aweber.com/form/07/1910174607.htm

Jacqui Murray has been teaching K-18 technology for 30 years. She is the editor/author of over a hundred tech ed resources including a K-12 technology curriculum, K-8 keyboard curriculum, K-8 Digital Citizenship curriculum. She is an adjunct professor in tech ed, Master Teacher, freelance journalist on tech ed topics, and author of the tech thrillers, To Hunt a Sub and Twenty-four Days. You can find her resources at Structured Learning.

Dear Otto is an occasional column where I answer questions from readers about teaching tech. If you have a question, please add a comment below and I’ll answer it here. For your privacy, I use only first names.

Here’s a great question I got from Barbara, a principal at a local school:

Dear Otto,

May I ask your thoughts on giving grades in Computer Class? I can’t find research on this topic.

..

Anecdotally, grading tech classes is all over the board–whether teachers grade or not, and if they do–how. The short answer to this question is: It depends upon your expectations. If it’s fully integrated into the classroom, treated more as a tool than a ‘special’ class (some call them ‘exploratories’, akin to PE, Spanish, music), then you probably want to hold it rigorously to the grading scale used in the classroom. The projects created will be evidence of learning, more like summative (or formative) assessments of academic work than tech skills.

(more…)

No topic is more discussed in today’s education meetings than the impact of Artificial Intelligence–AI–on teaching and learning. Guest contributor to Ask a Tech Teacher, Tess Dodson, has fresh ideas on how to incorporate AI into your classroom in ways that are moral and principled:

Simple Ways Teachers Can Integrate AI Ethically in the Classroom

Artificial intelligence (AI) is already shaping modern education. From generating lesson ideas to helping students brainstorm essays, AI in the classroom is becoming increasingly common. For educators, this shift presents both exciting opportunities and important responsibilities. Teachers need a thoughtful approach and practical strategies to ethically integrate AI into everyday teaching.

Create Clear Guidelines for AI Use

Students are already using AI, and it is here to stay. A survey of more than 1,100 U.S. students found that 90% have used AI-driven tools in academic settings. As such, it is vital that the first step in using AI in the classroom is setting clear expectations. Students are already experimenting with AI tools, but they may not fully understand when or how to use them appropriately. Without guidance, misuse — intentional or not — becomes more likely.

Teachers should create a simple classroom policy around AI. It can include clear rules on when AI use is allowed for assignments and how students should acknowledge or cite AI use. For example, a teacher might allow AI for information gathering but not for generating final answers.  Students may also be required to include a short explanation of how the tool was used.

Strengthen Academic Integrity in an AI-Enabled Classroom

One of the main challenges of using AI in education is the concern that students may use these tools to plagiarize or cheat academically. With tools that can instantly generate essays and solve problems, it has become easier for students to submit work that is not their own. As such, teaching practices must adapt.

Teachers can take a proactive approach by clearly defining what constitutes original work. Instead of banning AI outright, educators can guide students on acceptable use. For example, AI might be allowed for outlining ideas or checking grammar, but not for producing complete work. Another effective strategy is requiring students to document their process by providing draft submissions that show revisions over time and reflection paragraphs explaining how they completed the task. (more…)

How complicated is it to make the right decisions for students, that are supported by parents, and doable in the time frame you have? The Ask a Tech Teacher team has some ideas:

The Art of Making Smarter Decisions in the Classroom

Image credit: Pexels

Every teacher makes hundreds of small and big decisions every day — which activity to start with, how to group students, or when to adjust a lesson plan. These decisions shape how well students learn and how engaged they feel. Yet many teachers admit they rely mostly on instinct and experience when making those choices.

The challenge is that classrooms change constantly. What works for one group of students may not work for another. Relying only on memory or routine can make it hard to see what truly improves learning outcomes. The good news is that smarter classroom decisions don’t depend on expensive tools or complex systems. They begin with simple habits that help teachers observe, reflect, and act on what’s actually happening in their classrooms.

Smarter decision-making is not about perfection; it’s about awareness. When teachers start to notice patterns, ask the right questions, and test small changes, they begin to understand what drives real learning. This article explores how educators can make clearer, more confident decisions using practical, everyday strategies that keep students—and their needs—at the center. (more…)

Many (most?) states now administer yearly assessments online. If students haven’t used online testing tools before, this can be a daunting task. Having computer devices as optional education tools is a massive difference from requiring students to use them for graded assessments. This can be intimidating for both students and teachers.

The good news: It doesn’t take as much time and practice as you might think to prepare. What it does require is a techie mindset, the acceptance that technology is part of the daily landscape, that it be integrated into assignments, practice, modeling, homework, assessments, projects, portfolios, grading rubrics, expectations.

There are ways to get students in shape that won’t take much out of your already-packed day.

“The future of education will be shaped by technology and educators who use technology effectively will stand out from the crowd.” – Dr. Anil Singhal

Here are strategies that will make your teaching life easier, bump up your effectiveness with students, save time complying with state standards, and prepare students effectively. As you’re in grade-level teams, planning lessons for next year, include these. They will add spice to classes, build flexible learning paths, and contribute to sustainable, transformative learning. Once you start using tech in the classroom as a tool (not a separate activity), you will find students self-selecting it when given a choice, coming up with their own ways to make tech today’s adaptive answer:

(more…)