How Generative AI Diminishes Our Need For EdTech

The Peculiar Case of Disruption in Education Technologies

Recently, we've witnessed a surge of edtech products promising to revolutionize learning. Yet, as generative AI advances and still more companies offer specialized educational tools, a paradox emerges: these products often fall short of their lofty goals, failing to fundamentally understand or improve education.

The problem lies not in the technology itself, but in its application. Many edtech offerings are created by technologists who lack deep educational expertise or classroom experience. The result is a plethora of tools that, despite their sophistication, fail to align with pedagogical best practices or address real classroom needs.

The Advantages of General Technologies in Education

In many instances, educators might find more value in technologies available to the broader population. This approach offers several significant advantages:

Flexibility: General-purpose tools can be adapted more easily to specific educational needs. Unlike specialized edtech products that often come with predetermined functionalities, general tools provide a blank canvas for educators. A simple spreadsheet application, for instance, can be transformed into a grade book, a data analysis tool for science experiments, or a collaborative project management platform. This malleability allows teachers to tailor their technological approach to their unique classroom dynamics, subject matter, and student needs.

Cost-effectiveness: Widely available tools are often more affordable than specialized edtech products. Colleges, schools, and districts, perpetually grappling with budget constraints, can leverage existing licenses for general software rather than investing in costly, single-purpose educational technologies. Or better still, they can capitalize on the freely available apps such as the recently released Claude Sonnet 3.5 if and when the technology is compliant with school regulations and national legislation. This not only reduces direct costs but also minimizes the need for specialized training, as many educators and students are already familiar with these ubiquitous tools. And this brings me to my next point.

Real-world relevance: By utilizing general technologies, students learn to use tools they'll encounter outside the classroom. This bridges the gap between education and practical application, preparing students for future academic pursuits and careers. When a student becomes proficient in using a general-purpose presentation software or a widely-used project management tool, they're gaining skills directly transferable to numerous professional contexts.

Educator empowerment: Perhaps most crucially, this approach empowers educators to become the architects of their digital classrooms. Rather than being constrained by the limitations of pre-packaged edtech solutions, teachers can innovate, experiment, and refine their technological approaches. This means that educators can rapidly respond to changing student needs or emerging pedagogical insights.

The thing is, educators aren't just using technology now; they're crafting bespoke solutions to fit their educational objectives. And this empowerment extends beyond individual classrooms. Educators can easily share their innovative approaches with colleagues globally, fostering a collaborative ecosystem of teacher-led innovation. This approach to edtech can lead to more authentic, needs-driven advancements in education technology.

Implications for the Future of Educational Technology

The implications for the edtech industry are profound. To remain (or become) relevant, companies must justify their specialized products in a landscape where general technologies can be equally, if not more, effective. Generative AI clearly challenges the industry to elevate its standards, and this is almost exclusively a good thing. The most valuable educational technologies will be those that genuinely enhance the teaching and learning experience in ways that general tools cannot.

The goal should be to develop tools that complement human teachers rather than attempt to replace them, enhancing the crucial teacher-student relationship instead of automating it. This is not a given, and as educators we must insist that learning outcomes trump profit margins and data collection.

The future of education technology lies not in creating more products, but in using the ones we already know in new and creative ways. Broader use applications such as ChatGPT, Gemini or Claude may well be better suited to specific educational contexts than tailor-made AI apps. We need to change the narrative and place educators at the forefront of innovation and leverage the power of general AI technologies to create transformative and lasting learning experiences.

Incidentally, this aligns neatly with institutional demands for a more flexible, cost-effective, and relevant educational technology landscape that truly serves the needs of both educators and students.

The most successful "edtech" might not be educational technology at all, but rather the innovative application of universal tools by those who understand education best - educators.