Adaptive Learning Technology Examples Educators Must Explore
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Technology has taken a vital role in providing education to students of all ages and grades.
With advanced technologies being introduced in all spheres of education, adaptive learning is the old gold.
Adaptive learning responds to the learner’s knowledge level through performance and presents interactive challenges based on their performance to help them progress.
This unique learning process has its origins in the artificial-intelligence movement and began gaining popularity in the 1970s. During that course of time, Adaptive Learning was commonly accepted that computers would eventually achieve the human ability of adaptivity. However, at that time, the main barrier was the cost and size of the computers, rendering the widespread application impractical.
Adaptive learning works on all levels of education, including first-grade students up to adults studying for their professional exams.
Since people learn in many different ways, adaptive learning resolves the concerns of personalized learning by addressing the differences in ability and providing customized learning practices and solutions.
This post brings examples of a few adaptive learning technologies that every educator must know.
Smart Sparrow
The San Francisco-based firm Smart Sparrow was born out of a research group (the Adaptive Learning group) in Australia back in 2011. The e-learning platform is specialized in adaptive and interactive learning experiences.
We cannot deny that online learning attracts many people because it is flexible and accessible. However, Smart Sparrow has recognized that the online learning process often rejects many students and teachers. That is why, to solve this problem, Smart Sparrow launched a face-to-face experiment for students to make their learning as practical as possible.
Smart Sparrow is half a platform and half a service – providing both the platform and support teachers need to develop their plans and guide learners based on their feedback. Smart Sparrow is a unique differentiator for adaptive learning technologies since many products rely on algorithms that customize teachers’ unique customization.
Knewton
Founded in 2008, Knewton is dedicated to giving higher education teachers as much information as possible. Knewtons’ learning analytics deliver student insights to educators to understand which lessons stick and which do not. Furthermore, this platform grabs additional data from the provided course materials to understand which content is the most effective and shares how students interact with the materials to be updated and optimized.
With Alta in its classroom, Knewton brings classrooms together.
This adaptive technology works for such complicated materials as a CPA exam course and higher education students. A specific example is a didactic material provided by Knewton on its Alta platform. Its value lies in its integrated structure that fills the gap between instructors and students.
Alta specializes in making itself part of the lesson plans and program, regardless of what they look like. For students, this adaptive technology utilizes data collection comparatively to elevate levels of understanding individually and in groups. The individual learning style is designed in every course with everything one needs to teach the topic.
This design aligns with set standards that are accessible and allow for total student involvement. From an administrative and institutional point, there is no way to go wrong using the Knewton software.
DreamBox
DreamBox is an excellent software application when it comes to meeting the special needs of K-to-8 students.
It is different from other adaptive programs in that it focuses on mathematics.
This software provides adaptive lessons to students on math and shares information on their progress with educational instructors. When a learner has the tools to make mathematic connections independently, it makes teaching them easier. This accessibility provides educators and students with common ground to meet.
One of the most impressive things about DreamBox is that it allows parents to choose their children’s math courses. Depending on the technology and instructional skills required, the software changes to challenge students appropriately. Beyond the technique and technology, education administrators need the tools used to comply with specific standards. This adaptive learning software does all this while being integrated into the educational regulations already in force.
EdApp
EdApp provides an excellent example of an adaptive learning platform. It enables a learning continuum through its continuous learning support for users. All lessons are readily editable, meaning learning and development managers can modify and add information based on the current climate.
The Surgent Platform
Surgent for CPA Exams is an excellent Adaptive Learning Example. To help learners succeed, the software assesses a general overview of a person’s skill set in the first place, then shares weak and strong points with them.
The collection and analysis of individual competencies take place on a platform that provides integrated information and questions, work-related simulations and an efficient course structure. It comes all together in the automated study plans harnessing the attention of exam takers to boost their confidence and performance levels. Using adaptive learning is ideal for an institution that specializes in preparing individuals for professional exams.
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