OECD’s Learning For 2030 Framework is designed to support a “global movement for accelerating education towards a better future through an iterative co-creation and co-development process.” It emphasizes that gaining knowledge, skills, attitudes, and values is critical for learners to maximize their potential to contribute to the well-being of their communities and the planet. The process of effective dissemination of the above starts with developing curricula aligned with the broader learning goals.
Challenges in Traditional Course Creation
The traditional methods of curriculum design and course development have several pitfalls:
- The process requires immense manual effort, which is time-consuming and error-prone. Further, standardizing instruction and content delivery is complicated, with multiple educators involved.
- Manual curriculum design gives minimal scope for personalization. Learner journeys are static and centered around the curriculum, not individual needs and learning goals.
- Ensuring compliance and meeting adoption standards is tricky with medical course development and may cause discrepancies and overlook certain regulations.
- Integrating adaptive techniques is difficult. Firstly, it isn’t possible to augment all modules with adaptive tools, and secondly, there is no way to do so dynamically in a needs-based way.
Applications of AI in Education
Artificial intelligence has bestowed on the education industry multiple benefits:
- ML-powered analytics help identify the learning gaps and preferences of individual students and facilitate the development of customized learning journeys.
- AI supports augmenting the course or module with adaptive technologies like text-to-speech, speech recognition, etc., based on specific learner requirements.
- AI has made tailoring assessments to learners’ knowledge and skill levels, and instant feedback possible. This helps in the immediate reinforcement of learning.
Leveraging AI for Course Creation
AI can significantly impact the course creation experience and the quality of courses. A few benefits of AI-based course creation are:
Greater Personalization
AI helps enhance personalization. It enables teachers to break down courses into bite-sized modules. Learners can use them as required for initial learning, reinforcement, post-feedback revisions, and much more. Additionally, using data about students’ previous performance, strengths, weaknesses, and learning preferences, AI can offer individualized learning paths to improve learning acquisitions.
Reduce Time to Market
AI empowers teachers to create courses faster. Advanced cloud-based management enables them to reuse previously created content as is or refine it to meet the needs of the learner group. Expedited content curation saves time and effort, and lets them focus on more pressing education requirements.
Enhance Compliance Adherence
AI-based suggestive algorithms let teachers know of any complaint violations. Moreover, automated compliance analysis saves time and improves the chances of adoption by minimizing errors.
Improve Learning Impact
AI-powered course design leverages course performance and efficacy data to deliver actionable insights. This helps educators develop courses with greater learning impact.
Improve Student Engagement
Course and instructional design that keeps student preferences at the forefront results in higher student engagement, which translates to improved knowledge and skill retention.
Diverse Assessments
Leveraging AI-based course authoring tools also helps teachers design varied assessment types, incorporate gamification, and facilitate audio/video-based assessments and response evaluation. This improves the assessment process, elevating the complete learning cycle.
Role of AI in Content Distribution Platforms
AI also plays a significant role in transforming the content distribution platforms. Machine learning algorithms assess the learner landscape and offer customization suggestions for better cultural and demographic alignment. Further, NL-based translation facilities enable teachers to create content in multiple languages at scale, allowing the education provider to penetrate inaccessible markets.
But… There Are Some Challenges
With increased digitization, privacy and data protection are becoming significant challenges to navigate for the education industry. Further, certain ethical concerns regarding the use of AI for content creation also apply to the learning ecosystem. For instance, who must hold the copyrights to AI-generated content – the educational institution, the AI algorithm, or the technology provider?
Moreover, advanced technologies can only improve learning content; ensuring accessibility and inclusivity requires more measures, such as cost reduction and user awareness. Finally, overcoming the technological inertia, not only among educators but also among learners and their parents (for the K-12 segment), is critical to effectively experiencing the benefits of AI-powered curriculum development.
Embrace AI for a Brighter Educational Future
To achieve higher levels of learning efficacy and engagement, improving harmony among the intended, implemented, and attained curriculum is critical. AI-powered platforms facilitate content curation and course development while also supporting content distribution. Adopting AI-powered course authoring tools can truly bring about a transformation across the entire teaching-learning process.
AI empowers course developers and R&D experts to optimize and streamline course development through data-driven recommendations, compliance analysis, automated development, and customization. A content authoring tool with multimedia, compliance, built-in assessment, and hyperlinking facilities can transform the course development experience and instructional efficacy. Connect with the experts at MagicBox™ to learn how their platform optimizes and streamlines the course design process.
