Over the years, instructional design theory has grown alongside technological development. From the personal computer to universal internet connectivity, wearable tech, virtual reality and more, this has created new trends and possibilities for instructional designers and educational technology professionals.  

For experienced professionals considering a return to higher education, learning today looks different than it did even a few years ago. Advances in instructional design are reshaping how courses are built, delivered and personalized, making education more flexible, relevant and aligned with real-world experience.  

Two developments in particular, artificial intelligence (AI) and immersive learning technologies, are influencing how instructional designers create learning environments that support working adults. As these trends continue to evolve, they are helping bridge the gap between professional experience and academic growth.  

Here are two noticeable shifts occurring in instructional design this year and beyond. 

AI and Adaptive Learning  

Artificial intelligence and machine learning are transforming education technology, where these methods are used to mold a particular lesson plan and path according to each student’s strengths and needs. These concepts require plenty of refinement, which makes instructional design skills invaluable as one of the key stakeholders and facilitators of information.   

As edtech tools proliferate, educators, administrators and instructional design professionals are working together to ensure these tools are utilizing student data effectively and that the tools are themselves leading to more efficient educational outcomes. One of the add effects of rapid technological growth is rapid adoption of tech tools, which can sometimes mean tools are not thoughtfully implemented, leading to compliance concerns.  

Two examples of real-world applications are AI-powered learning and personalized feedback: 

AI-Powered Learning  

Artificial intelligence is increasingly used in instructional design to create adaptive learning experiences that respond to individual needs. Rather than following a rigid, one-size-fits-all path, AI-driven systems can adjust content, pacing and assessments based on how learners interact with course material.  

For career-focused students, this approach recognizes prior knowledge and professional expertise. Learners can spend less time reviewing familiar concepts and more time engaging with material that challenges them or fills specific skill gaps. This flexibility can be especially reassuring for those returning to school after time in the workforce.  

Instructional designers play a key role in shaping how AI supports learning. They determine how data is used, ensure learning objectives remain clear, and design experiences that balance automation with meaningful human interaction. The result is instruction that feels efficient without losing depth or relevance.  

Personalized Feedback 

Another advantage of AI-enhanced instructional design is the ability to provide timely, personalized feedback. Automated assessments, intelligent tutoring systems and data-driven insights help learners understand where they are excelling and where improvement is needed.  

For professionals seeking career advancement, this kind of feedback mirrors workplace expectations. Learning becomes less about memorization and more about performance, decision-making and application. Instructional designers increasingly align coursework with industry scenarios, helping students connect academic learning to real professional challenges.  

This focus supports learners who value practical outcomes and want to see a clear return on their educational investment.  

Immersive Learning with VR and AR  

Immersive learning has become an important part of instructional design as educators seek to create experiences that closely reflect real-world environments. 

Particularly in the post-COVID world, being able to digitally “visit” places, engage in a simulated form of physical proximity, and to explore the world with access to a constant feed of contextual information all offer unique and invaluable learning experiences.  

When implemented effectively, immersive learning through virtual reality (VR) and augmented reality (AR) supports deeper engagement, improves retention and builds confidence, especially for learners who value hands-on application. Imagine teaching students the nature of thermodynamics from the rim of a virtual reality volcano, allowing them to interact with these concepts in real time and see the results of their interactions. 

Two examples of immersive learning real-world applications are AR and VR:   

The Growing Role of Augmented Reality in Learning 

Augmented reality fortifies learning by overlaying digital information onto real-world environments. In instructional design, AR is often used to provide contextual guidance, visual explanations or step-by-step support while learners interact with physical or digital materials. This approach allows students to access information in the moment, reinforcing learning as tasks are performed. 

For career-focused learners, AR can mirror on-the-job problem-solving. Whether visualizing complex systems, examining data in a real-world setting or receiving guided instruction during simulations, AR supports learning that feels immediately relevant. Instructional designers are increasingly using AR to reduce cognitive overload by presenting information exactly when and where it is needed, making learning more efficient and practical. 

Virtual Reality for Skill Development 

Virtual reality takes immersive learning a step further by placing learners inside fully simulated environments. VR allows instructional designers to recreate scenarios that may be difficult, expensive or unsafe to experience in real life. These simulations enable learners to practice skills, test strategies and build decision-making abilities in a controlled setting. 

VR-based learning offers a low-risk way to refine skills and gain exposure to complex situations. Instructional designers ensure these experiences are structured with clear goals, reflection opportunities and assessments, helping learners connect simulated practice to real-world performance. As VR technology becomes more accessible, its role in instructional design is expected to expand, particularly in programs that emphasize leadership, technical expertise and applied learning. 

A portion of Columbia Southern University’s RN to BSN/MSN degree programs incorporate virtual simulation through the software Shadow Health to prepare students for real-world digital clinical experiences. Experiential learning allows students to participate in virtual physical assessments and meet the state board’s requirement of performing a full head-to-toe assessment. 

Prepare for the Future of Instructional Design at Columbia Southern University 

As instructional design continues to evolve, AI and immersive learning are helping create education models that respect experience, support flexibility and emphasize real-world relevance.  

CSU’s instructional design and technology programs reflect these shifts by emphasizing practical application, experienced faculty and learning models that support working adults. Our online master’s degree program in instructional design and technology learn valuable skills and context, allowing them to build a foundation of instructional design expertise while staying updated on the future of this rapidly-changing field.   

Learn more about our online certificate and degree programs at the associate, bachelor’s, master’s and doctorate levels.