Professional Learning for Busy Educators

Rightfully, there is concern that students will plug in assignment prompts into AI Chatbots such as ChatGPT and Google Bard in order to complete their assignments. As EdTech evolves, so do the tools that we use to facilitate teaching and learning. Artificial Intelligence (AI) offers a variety of benefits to the English Language Arts classroom, including improved personalization and support for learners. However, we need to ensure that these tools are used responsibly, maintaining academic integrity and the core purpose of English education. Here are some suggested elements to include in your acceptable use policy on your syllabus for your class.

What if you could squeeze an extra ten minutes out of your busy day and devote them to more meaningful interactions with students, colleagues and parents?

While a school day is estimated to be around 6.7 hours, every educator knows that a teacher’s workday is much longer.
Carving out extra time in a teaching day may seem like a tall order for many educators, who often must steal hours from their evenings, cutting into their own professional development time and tipping the scales on their work-life balance. While a school day is estimated to be around 6.7 hours, every educator knows that a teacher’s workday is much longer. Add the time required for all the other parts of the job—lesson planning, providing students extra support, grading, and parent and staff meetings—and teachers can expect to put in a 12- to 16-hour workday.

Recent advancements in data analytics and artificial intelligence, however, may help teachers gain back some of those hours. These technologies offer new efficiencies and insights into classroom learning, allowing educators to harness the power of data from their learning management systems (LMSs) and freeing them up to focus their time on activities that truly lead to better learning outcomes.

"One of the biggest impacts of new technology - and perhaps the most life-changing - will be felt in healthcare. 

Diagnosis of illness will be fast and efficient, and medicine will be highly personalised. Wearable technology will be the norm, and we’ll know we are sick before we even get a single symptom. Meanwhile, new drugs will come to market at breakneck speed as clinical trials get faster and more accurate. 

Ultimately, we will become our own doctors. 

AI is already being used in healthcare, and these seven examples offer a glimpse into our medical future."