The Lea(R)n team will be presenting at the International Conference on Educational Data Mining this week. Our team works with schools, districts, states and networks to extract the most value from their data, continually improving the LearnPlatform to help them make informed decisions on selecting, managing and evaluating classroom technology.
Organizing data and transforming it into consumable, actionable chunks becomes increasingly important as the adoption of digital tools in the classroom rises; educators and students have greater access to hardware and applications in their daily lives; and learning standards evolve to emphasize efficacy metrics indicative of technology as an enabler of expanded instruction, classroom management efficiency and enhanced student impact outcomes.
We are proud to be part of the International Educational Data Mining Society, and will be sharing our research at EDM16 with both a demo and poster session.
Herein we describe a platform (i.e., LearnTrials) that enables users to integrate and analyze data in order to rigorously evaluate the impacts of edtech. The platform also enables users to mine large and diverse datasets to identify patterns and trends in edtech usage and impact, and to build statistical models through predictive analytics that use multiple predictors to forecast future events, trends, and probabilities. Ultimately, educators and researchers can use the LearnTrials platform to generate evidence-based insights about edtech ecosystems within and across schools, districts, and states, which will improve the discovery, purchasing, and evaluation of edtech products in myriad educational contexts.
We report results from a study that uncovered startling trends in edtech usage across multiple paid products and dozens of schools. Notably, 36.6% of purchased student licenses were never used. An additional 28.2% of the licenses were used negligibly, failing to meet a quarter of the fidelity goal set by the product companies or districts. Further, anecdotal evidence suggests school- and district-level leaders are unaware of these realities. This suggests a vast amount of resources are being unknowingly squandered or misallocated. Combined with analysis of how product usage impacts student achievement, these results demonstrate how schools and districts can utilize data to understand and manage their edtech ecosystems while improving critical edtech decisions.
Data-driven, peer-reviewed legitimacy is at the heart of the LearnPlatform, and is a cornerstone of our organization. Built by and with educators, Lea(R)n empowers educators with consistent, proven data that they can trust.