Data Science Education
THIS IS THE NEW DATA NATIVE GENERATION OF STUDENTS
STEM Fellowship aims to develop natural data analysis talents, providing the next generation of students with opportunities and competitions in Data Science Education.
BIG DATA LEARNING DEMOCRACY
The new generation of learners don’t always fit into the traditional school system, which remains rooted in late 19th and early 20th group instruction and a standard exercise model. This teaching model can be a deterrent in STEM education even when students possess a strong interest.
Data Science/Big Data Education permits new learners to take initiative and attain ownership of their education. It democratizes the learning process, allowing students to take their own path in the acquisition of knowledge through whatever learning style they see fit.
DATA-NATIVE GENERATION EDUCATION
A change in the pedagogical paradigm: one which recognizes the fact that school teachers and university professors do not have a monopoly on knowledge, and are instead facilitators of the process of inquiry and education.
The roles of teachers and professors are changing. There is a greater need for a responsive learning environment with an emphasis on project management rather than classical lecturing. The best educators already act as integrators of leading learning platforms. Faculties should therefore consider the introduction of project management education as a new training course for teachers, and possibly even a qualification essential for educators in information technology and STEM.
The phenomenon of student-driven education, which involves social networks and forums where students crowd-source complex scientific problems, speaks volumes about the learning styles espoused by the new generation of data-native students. The question is, can educators meet them halfway?
WE EMPHASIZE ON FOUR KEY SKILLS
The ability to translate aggregates of data into abstract concepts and conduct data-based reasoning.
Cognitive Load Management
The ability to discriminate and filter the information needed to produce successful solutions.
The ability to create solutions in contexts where only part of the requirements are known.
The ability to participate in the collaborative construction of solutions.