Data-fueled decision making is on the rise—and the education industry is no exception.
From 2015–2017, schools reportedly spent $41 million on adaptive learning technology, according to EdTech Magazine1.
Through data collection and complex algorithms, adaptive learning tools help teachers differentiate and personalize instruction.
Let’s explore the ways in which adaptive technology is transforming the learning process.
5 Ways Adaptive Technology is Changing the Way Students Learn
1. Personalized Curriculum
Successful implementation of differentiated instruction depends on an educator’s ability to diagnose student strengths and weaknesses on a regular basis.
With adaptive learning technology, student progress data is available in real time. This gives teachers the information they need to better understand where each student struggles and excels.
With adaptive learning tools like Stride, resources are targeted to each individual student’s needs. As students choose from a variety of engaging learning activities, the tool gathers and delivers data to instructors so they can better tailor curriculum. Giving students agency in the content they choose also empowers them to take ownership of their learning experience.
2. Timely Intervention
Growing class sizes and diverse student populations mean that uncovering where each student needs to focus can take loads of one-on-one time. Before adaptive technology was available, teachers would need to spend hours collecting and analyzing hundreds of different data points for each student. Now, that’s all done automatically.
Adaptive learning tools give teachers the real-time, in-depth data they need to intervene early on in a student’s struggle with a particular subject matter.
These models don’t rely solely on student-teacher interaction to gather information about comprehension, meaning that remediation can happen more rapidly. The machine is constantly gaining a deeper understanding of skill areas that are more challenging or more easily achievable for each student.
Advanced solutions like Stride even have a designated dashboard that helps teachers track IEP (Individualized Education Program) and RTI (Response to Intervention) goals.
3. Maximized Learning Efficiency (ZPD)
ZPD stands for the Zone of Proximal Development. This represents a very specific zone of difficulty, which looks different for every student.
Specifically, the ZPD is the area between comfort and frustration — a student hasn’t completely mastered the material yet, nor are they frustrated with its difficulty. Adaptive technology accesses this key area, maximizing learning efficiency and continuing that process.
4. Access to a Variety of Content and Mediums
Vivid content and lively games drive students to utilize adaptive learning tools, whether inside or outside the classroom.
Stride, for example, offers students interactive “brain breaks” and rewards for correctly answered questions in subject areas such as math, language arts, reading, and science. After students work through practice questions, video lessons, and online and offline skill review activities, they have an arsenal of interactive games to choose from.
The platform’s cloud-based system means that students have 24/7 access to this engaging content on tablets, laptops, and mobile devices. This combination of access and content is what makes adaptive learning tools engaging and effective.
5. Test Preparation
Adaptive educational tools give students exposure to different technology-enhanced question types and formats, serving as beneficial test-taking practice and helping to prepare them for end-of-year proficiency exams. Additionally, many adaptive learning tools are aligned with state and national standards, which makes the transition from practice to performance much easier.
Stride’s robust data collection includes benchmark and formative assessments to help ensure that students are meeting grade-level requirements.
Stride, and Adaptive Technology Tool by Fuel Education
Stride is an engaging adaptive learning tool designed for grades Pre-K through 8. The rewards-based model motivates students towards mastery and gives teachers the data they need to differentiate instruction. Interested in learning more? Request a Demo today.
1Bogardus Cortez, M. School Districts Have Tripled Spending on Adaptive Learning Technology, EdTech Magazine, August 2017.
2Lynch, M. Five Things You Should Know About Adaptive Learning, The Tech Advocate, August 2017.