Eskwelabs developed a “train the trainers'' set of Learning Sprints focused on “data skills for digital transformation” that provided 120 Technical Vocational Educational Training or TVET trainers with the skills to not only optimize their own administrative workflow but also teach others, both within the agency and outside of it, to do the same. These learning sprints were hands-on projects that allowed trainers to build spreadsheet-based systems for room allocation, inventory management, and cost tracking while building their own skills in analytics, visualization, dashboarding, and data systems.
Data maturity and digital transformation in government are important because it can enable the people to become more involved in policy making as it allows them access to government information. This promotes transparency and accountability, resulting in better civic engagement (Munoz & Rodriguez Bolivar, 2017). Digitalization also has the potential to expedite processes as it objectively measures progress of different government actors and identifies emerging needs and weaknesses that hinder the pace of development. (Stoyanova, 2022). Lastly, automation, AI, and machine learning can generally extend the value of work done by making more accurate decisions, improving decision-making speed and reducing costs (Chu, 2022).
In 2022, Eskwelabs carried out an in-depth data maturity assessment through a series of interviews, a focus group discussion, and competency and behavioral assessments of hundreds of employees at TESDA. This was used to develop and then implement a data literacy course in the form of two Learning Sprints (total 55 hours) using Eskwelabs’ immersive bootcamp methodology.
Each module integrated three different data projects identified by TESDA as priority projects which the learners worked on in groups and presented to their superiors at the end of each sprint module:
The program attained a Net Promoter Score of 76%, demonstrating the enthusiasm of learners for both the bootcamp’s practical pedagogy & apprenticeship-based learning model, as well as the accessible but powerful technical skills of data analysis and storytelling.
"I am really impressed with the Learning Sprint with Eskwelabs, you guys really taught us a lot about the digitalization of data and presenting it to our audience as well." - Trainer, TESDA TVET Program
The potential points of discussion for future collaboration and catalytic impact include:
Taking it a step further, you can look forward to a more in-depth evaluation of this sprint in a future article focusing on the Kirkpatrick Model. This model is used to analyze and evaluate the results of training and evaluation programs. It is focused on training style and has four levels of criteria: Reaction, Learning, Behavior, and Results. This evaluation generates more insights that would greatly benefit both Eskwelabs in their sprint implementation and TESDA in deciding their learning objectives.
In summary, the case study highlights how a comprehensive program like Eskwelabs’ Learning Sprints can effectively build digital and data capacity for large teams and agencies through catalytic training.
We’ll be deep diving into our impactful partnerships through the future issues of FutureNotes. To learn more about our learning sprints and how they can benefit your institution, we encourage you to download our Sprint Catalogue below. If your organization is driven by education innovation, collaborate with us and help create a future-ready workforce. Together, we can bridge the skills gap and prepare future generations for the changing nature of work.
Chu, A. C. (2022, September 20). The Future of Work, the Future of Learning, and Learning Sprints.