This paper explores how integrating Artificial Intelligence (AI) into the educational design tool myScripting can enhance digital learning design. As digital and blended learning become increasingly central in education, educators face growing challenges in creating pedagogically sound, engaging, and efficient learning environments. myScripting already supports this process through a structured, visual design approach grounded in established frameworks such as ADDIE, Constructive Alignment, and ICAP. The paper argues that embedding AI into this tool can significantly extend its capabilities and improve both usability and pedagogical quality.

A key contribution of AI integration lies in supporting novice instructional designers. Designing digital learning scenarios can be complex, especially for educators with limited experience. AI can function as an adaptive virtual coach by offering step-by-step guidance, asking clarifying questions, and providing just-in-time explanations of pedagogical concepts. This reduces barriers to entry and promotes wider adoption of structured design practices.

The paper further highlights the role of AI in delivering context-aware recommendations. By analyzing factors such as target audience, subject domain, learning objectives, and available infrastructure, AI can suggest relevant teaching strategies, learning phases, and learning activities. It can also facilitate the adaptation of existing designs to new contexts, thereby reducing cognitive load and supporting more learner-centered approaches.

Another important application is AI-assisted authoring. Formulating clear, measurable, and aligned learning outcomes, as well as designing appropriate tasks and assessments, remains a challenge for many educators. AI can assist by generating draft learning objectives, suggesting aligned assessments, and improving clarity and coherence. This enables a guided authoring process in which initial ideas are refined into pedagogically robust designs.

In addition, AI can enhance analytics, reflection, and feedback within myScripting. Beyond existing analytics on workload and constructive alignment, AI can detect deeper inconsistencies, such as misalignments between objectives, activities, and assessments, or insufficient cognitive engagement. It can identify redundancies, suggest improvements, and generate reflective prompts. By learning from existing high-quality designs, AI can act as a “pedagogical assistant,” helping educators continuously improve their work.

The paper concludes that AI-enhanced tools like myScripting have strong potential to address the growing complexity of digital learning design. However, responsible implementation is essential. Issues such as transparency, bias mitigation, data privacy, and the preservation of teacher autonomy must be carefully considered. If thoughtfully integrated, AI can significantly increase both the efficiency and pedagogical effectiveness of digital learning design.