Effects of Data Science in Education Across Workforce

Practical Applications of Data Science in Education

Data science, data analytics, AI, cloud, and IoT are currently being leveraged to improve upon and personalize the education process and experience at both the K-12 and higher education levels.

Enhance Knowledge Retention 

IoT is one of the most adaptable technologies for the modern learning experience because IoT-enabled devices provide an accessible vehicle for communication, educational materials and resources, and supportive visualizations that improve knowledge retention and understanding. For example, a speech-to-text based system on such a device enables automated note-taking, which allows the student to simply absorb a lecture rather than divide their attention between listening and writing.

Anticipate Student Graduation and Dropout Rates

Higher education institutions are increasingly leveraging data science in education and machine learning solutions to predict scenarios such as which students are most likely to enroll, graduate, and be ready for a career in their chosen area of study. These capabilities also help educational providers track patterns in student dropout rates and the corresponding demographic and educational factors to predict potential future dropouts so they can proactively intervene and allocate resources to prevent it. 

Deeper Understanding of Student Progress

Advanced analytics, including AI, is also being used to gain insights into academic performance so that teachers, faculty, parents, and students can better understand how a student is responding to certain tests, for example. This information can then be applied to modify the corresponding learning or teaching path to improve academic outcomes. 

Accessible Education for Dispersed Student Base

Additionally, many students are working remotely during the pandemic and virtual classrooms and cloud based e-learning platforms, along with customized applications, are becoming the norm as educators strive to deliver high quality learning programs for a dispersed student base. Augmented and virtual reality are similarly providing exciting simulations and gamification to promote a more immersive remote learning experience. 

Educational Chatbots

Intelligent chatbots are being used by schools to help address pervasive absenteeism. For example, an AI-driven two-way text messaging system was developed to help children who frequently miss classes by enabling teachers to touch base with the student’s family. It also offers tailored, around the clock support for students who are experiencing difficulties learning.

Molding the Future Workforce

While education institutions are investing in new technologies and data science in education to address current challenges and objectives, they’re also keeping the future in mind, particularly the future of the workforce. Data science disciplines, including data analytics, are vital to these institutions as they respond to changing economic and social conditions, evolving technologies and disruption, and a new era of work.

Academic institutions are increasingly dependent on analytics to inform the development of their academic programs, degrees, training, and certifications so that they better align with fluctuations in job demand and skill gaps. Many higher education institutions are turning to predictive analytics to assess future demand for employees according to various education levels, business domain, and specific roles. This enables them to prepare for emerging workforce trends and make insights-driven decisions regarding courses that are able to effectively address the changes and developments expected to occur in the labor market. 

A data-centric perspective of evolving workforce demands further allows academic institutions to help students become more career-ready and close the disparity between education and employability, which is a growing concern amongst employers.

Are you considering a profession in the field of Data Science? Then get certified with the Data Science Bootcamp today!

Inspiring the Future with Data Science in Education

Data science is responsible for numerous opportunities and innovations in the education industry recently as the events and disruptions of the past 18 months capitulated the world into a new era of academic and workforce demands. To learn how to shape your own career path that could impact the future of education or the workforce, explore Simplilearn.  If you are looking forward to advancing your career in data science then enroll in Simplilearn’s Data Science course.