Teaching at the Right Level to improve foundational learning

• In Event: Tailored Instruction at Scale: Harnessing A.I. to Close Learning Gaps

Proposal

Pratham's Teaching at the Right Level (TaRL) initiative has consistently demonstrated that tailored instruction can effectively close learning gaps through scalable and sustainable interventions. This initiative leverages a robust body of evidence from randomized controlled trials (RCTs), underscoring the substantial impacts of tailored instruction strategies developed and refined over years of research and application.

From 2013 to 2016, Pratham's efforts to resolve the learning crisis with minimal additional resources revealed that these educational gains are not only significant but also lasting. The implementation of the TaRL model across various government school systems showcased dramatic improvements in student learning outcomes. For instance, RCTs conducted in partnership with J-PAL during this period highlighted that short-term, focused instructional camps could dramatically enhance learning achievements. These camps, often lasting between 10 to 50 days, resulted in average increases of 0.71 and 0.69 standard deviations in reading and arithmetic scores, respectively, showcasing some of the largest effect sizes recorded globally in primary education.

The methodology underpinning the TaRL approach involves intensive bursts of learning activities tailored to the students' current learning levels, rather than adhering strictly to grade-level curricula. This strategy has been particularly effective for students who are developmentally ready but have fallen behind academically. By using simple tools from the ASER initiative for initial assessments, Pratham's interventions enable a rapid transition from assessment to action, thus maximizing the learning outcomes within remarkably short periods.

Pratham's model utilizes a phased approach where initial gains from the intervention are evaluated and refined continuously. The scalability of this model is evident in its replication across varied educational environments, supported by continuous collaboration with local governments and communities. The adaptability and effectiveness of the TaRL approach have been consistently validated by subsequent RCTs, which have also confirmed the sustainability of learning improvements over time.

Integrating intelligent technologies offers the potential to further enhance the efficacy and scalability of interventions like TaRL. AI can strengthen the 5 key elements of TaRL which are Measurement, Materials, Method, Manpower (teachers, parents, volunteers), and Mentoring/Monitoring. However, the core of any educational technology integration should remain deeply rooted in empirically validated educational practices.

Pratham's TaRL initiative exemplifies a successful model of tailored instruction that is both evidence-based and highly scalable. It represents a paradigm shift in educational interventions, where the focus is on achieving significant learning outcomes through targeted, time-efficient, and resource-conscious strategies. As we look towards the future, the integration of AI holds promise for amplifying these impacts, provided it builds upon the solid foundation established by rigorous educational research and practice.

Authors

• Nishant Baghel

• Balakrishnan Venkatachalam, Pratham International