Beyond Online Courses Designing the Modern Digital Classroom

George Hanshaw, Director of Digital Learning Solutions, Los Angeles Pacific University

George Hanshaw advances the future of learning by blending AI and psychological safety to create more engaging and scalable education ecosystems. His work helps institutions move beyond traditional instruction toward data-informed, learner-centered experiences that improve outcomes for students and educators alike. By connecting technology with human performance, he shapes more adaptive and resilient learning environments across higher education and industry.

For generations, the classroom was defined by a physical space. Students gathered in rows of desks; a lecturer stood at the front and learning occurred within the boundaries of a room and a schedule. Today, that model is rapidly evolving. Learning now happens across learning management systems, discussion platforms, collaborative tools and increasingly through AI-enabled environments. In this context, the classroom is no longer simply a place, it is a designed digital ecosystem.

As we all know, moving learning into digital spaces is not as simple as uploading lectures or sharing course materials online. The digital classroom represents a deeper shift in how learning experiences are structured. Digital learning is a mindset not a tool. Institutions that succeed in digital learning recognize that technology alone does not improve education. Instead, the effectiveness of the digital classroom depends on thoughtful design that intentionally structures interaction, feedback and engagement.

If you participated in one of the early online courses than your probable saw that many courses simply transferred traditional teaching materials into digital formats. Lectures became videos, handouts became PDFs and the core structure of learning remained largely unchanged. While this approach allowed institutions to scale online delivery quickly, it did not fully take advantage of what digital environments can offer.

Effective digital classrooms move beyond digitized content toward intentionally designed learning experiences. Students increasingly expect AI and interactive technologies to be part of their learning environment. Instructional design plays a central role in this process by aligning learning outcomes, activities and assessments in ways that support how people actually learn. Rather than focusing primarily on content delivery, well-designed digital courses prioritize active engagement, reflection and feedback. Activities such as guided discussions, scenario-based learning, collaborative problem solving and formative assessments create opportunities for students to apply concepts rather than simply consume information.

“Rather than focusing primarily on content delivery, well-designed digital courses prioritize active engagement, reflection and feedback. Activities such as guided discussions, scenariobased learning, collaborative problem solving and formative assessments create opportunities for students to apply concepts rather than simply consume information.”

AI assistants are beginning to make this level of interaction possible even in asynchronous courses. For example, psychology students in one program recently designed their own psychoeducational AI assistants as part of a capstone project. After building the assistants, the students tested them by evaluating whether the information provided was grounded in course materials and whether the responses were relevant to student questions. Through this process, students not only learned the subject matter more deeply but also developed skills in evaluating the reliability of AI-generated information.

Engagement must also be intentionally designed. Digital classrooms that rely solely on readings and quizzes often struggle to maintain student participation. In contrast, courses that incorporate discussion, problem-solving, collaborative work and reflective activities encourage students to actively participate in the learning process.

In a history course, for example, students can engage in guided conversations with digitized historical documents, letters and artifacts. Rather than simply reading about history, students explore the context of these materials by asking questions and examining perspectives from the past. This approach transforms primary sources from static texts into interactive learning experiences.

Timely feedback is another essential element of the digital classroom. In traditional classrooms, students often receive feedback informally through conversations or immediate responses during discussions. Digital environments must recreate these feedback loops through instructor responses, peer review, automated quizzes and increasingly through AI-supported tools.

In one pilot initiative, students submitted their writing assignments to an AI feedback assistant that had been trained on the assignment instructions, course materials and grading rubric. The assistant provided immediate, conversational feedback that students could respond to and clarify through dialogue. Rather than receiving static comments, students engaged in a back-and-forth discussion about their work. Survey results indicated that students were highly satisfied with the tool and felt that the conversational feedback helped them improve their writing before final submission.

Emerging technologies are continuing to reshape the digital classroom. Artificial intelligence, learning analytics and adaptive systems are creating new opportunities to support student learning. AI tools can provide tutoring, generate practice scenarios and guide students through complex concepts. Learning analytics can help instructors identify patterns in student engagement and recognize when learners may need additional support.

Importantly, these technologies should augment the learning process rather than replace human interaction. When implemented thoughtfully, they allow instructors to focus more attention on mentoring, coaching and facilitating meaningful learning experiences. Technology becomes a partner in supporting learning rather than a substitute for teaching.

A common concern about digital learning is that it may reduce the sense of connection students feel with instructors and peers. Yet research and practice increasingly show that community can be intentionally designed in digital environments. Structured discussions, collaborative assignments, instructor presence through announcements and feedback and peer interaction all contribute to building meaningful learning communities. In some cases, digital environments even increase participation, as students who might hesitate to speak in a physical classroom feel more comfortable contributing in written discussions.

The digital classroom will continue to evolve as new technologies and learning approaches emerge. Institutions that thrive will focus less on chasing individual tools and more on building the capacity to design effective digital learning experiences. This includes investing in instructional design expertise, supporting faculty development and cultivating institutional AI literacy. Are you ready for the fully immersive digital university?

Ultimately, the goal of the digital classroom is not simply efficiency or scalability. The real opportunity lies in creating learning environments that are more engaging, accessible and supportive than traditional models alone could achieve. When thoughtfully designed, digital classrooms expand access to education, deepen student engagement and open new possibilities for learning that extend far beyond the walls of any single classroom.

AI

Learning Management

review