On this episode of Called To Teach, Tania talks to Mike Abecina from the team at McCrindle Research about the exciting world of emerging technology trends and how they are impacting education. They explore what technology is and isn't, and why it's essential in today's world. They also delve into the potential risks and benefits of technology and the need for schools to adapt to new technological trends constantly.

Mike and Tania also discuss the rise of Artificial Intelligence (AI) and its impact on education. They cover supervised vs unsupervised learning and the ethical considerations that arise from the use of AI in education. Parents will find valuable insights into how they can prepare their children for a rapidly changing technological landscape.

Join Tania and Mike on this episode of Called To Teach to gain valuable insights into how technology is shaping the world of education and what we can do to prepare for the future.

BIO:
It might be Mike's diverse experience across education, corporate and government sectors that uniquely positions him as a data science expert. Or it could be his degrees in Mathematics, Actuarial Studies and Data Science. Regardless, Mike’s skillset enables him to build cutting edge AI tools that drive innovation and enhance the research processes at McCrindle.

I'm a data scientist working across consulting, public sector, education. Experienced in deep learning, machine learning, model deployment, dashboarding, public presentations (400+), strategy.
Currently developing deep learning topic modelling to streamline text data analysis. Previously was responsible for the training, validation and deployment of NLP/ Computer Vision transformer models in a live production environment. I'm all about deep engagement and growing with people, but could easily lose myself playing in technical and theory-laden environments. I've worked across all facets of the IT/ education space.

Whether it's advising leaders on data strategy to presenting complex mathematical ideas to students, explaining complex things in simple terms has become my bread-and-butter! In my current role, I'm building AI and machine learning applications which employ computer vision, natural language processing and data augmentation. I'm proficient in Python, Pipeline development, Scala - (a working knowledge of Spark) and Research. I have a strong mathematics background, having graduated from UNSW (Actuarial Studies and Pure Mathematics), and most recently, Monash University (Data Science).