Ativion Powers Generative AI Classroom-Management Solution StudentKeeper with Amazon Nova
EdTech company Ativion built StudentKeeper, a generative AI classroom-management solution powered by its ARIA assistant, using Amazon Nova Pro and Amazon Nova Lite foundation models on Amazon Bedrock to filter content, calculate near real-time student attentiveness scores, flag safety concerns, and automatically draft teacher progress notes from the 200-400 million daily data events generated by its ContentKeeper filtering service.
Overview
EdTech company Ativion built StudentKeeper, a generative AI classroom-management solution powered by its ARIA assistant, using Amazon Nova Pro and Amazon Nova Lite foundation models on Amazon Bedrock to filter content, calculate near real-time student attentiveness scores, flag safety concerns, and automatically draft teacher progress notes from the 200-400 million daily data events generated by its ContentKeeper filtering service.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Schools using Ativion's ContentKeeper filtering service were creating 200-400 million data events per day, and Ativion needed to turn that data into actionable insights for teachers and administrators while making teachers' increasingly complicated jobs easier, without adding costs that could be an obstacle to adoption.
The solution
Ativion built ARIA, the AI-powered core of StudentKeeper, using Amazon Nova Pro for sophisticated AI capabilities like the student-facing AI assistant and document processing, and Amazon Nova Lite as a faster, lower-cost model for operational tasks like near real-time attentiveness ranking. StudentKeeper runs on Amazon Bedrock, which lets the solution switch between the two Nova models depending on the use case, with Amazon Bedrock Guardrails providing safeguards against inappropriate or unauthorized AI responses. Amazon Nova Pro's intelligent document-processing capabilities extract information and auto-populate teacher progress notes on students.
Reported business value
Ativion found that Amazon Nova Pro delivered results 30 percent faster and Amazon Nova Lite was over 700 percent more cost-effective than comparable models. Using ARIA and Amazon Nova Pro, teachers can create dozens of accurate, complete notes in minutes, compared to previously creating only a handful of notes per day, often after school hours.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other education entries in the register.
North Dakota University System builds a GenAI 'Policy Assistant' on Databricks for instant policy search
The North Dakota University System (NDUS) used the Databricks Data + AI Platform with Llama 2/DBRX, Foundation Model APIs, Unity Catalog and AI Search to build 'Policy Assistant,' a GenAI application that synthesizes over 3,000 public policy PDFs so staff can query regulations in plain English and get answers with page references and links in seconds instead of hours. The system cut NDUS's time to bring new data insights to market from one year to six months, 10-20x faster than manual policy search.
Open Universities Australia triples lead qualification with generative AI agents
Open Universities Australia (OUA) used LivePerson's AI Studio to build an LLM-powered generative AI agent that handles initial prospective-student inquiries, replicating the conversational style of human advisors. The agent achieved 3x lead qualification rates compared to self-searching students and 2x compared to OUA's prior scripted chatbot, with an average response time of 6.3 seconds versus roughly 2 minutes for human advisors.
Miami Dade College boosts student pass rates by 15% with Microsoft 365 Copilot
Miami Dade College deployed Microsoft 365 Copilot among its President's Cabinet and senior leaders, and used Microsoft Copilot Studio to build AI-powered assistants supporting personalized learning, coding exercises, essay structures and math problems around the clock. In the first semester of implementation in STEM and advanced analytics courses, the college saw a 15% increase in student pass rates and a 12% decrease in dropout rates. A survey found 77% of users completed tasks faster, 76% saw improved work quality, and 81% reported increased productivity; if just 15% of MDC's more than 6,000 employees saved 12 minutes a day, that would total nearly 50,000 hours a year. Encouraged by these results, MDC expanded its Copilot deployment by 400 licenses, prioritizing student-facing employees.
Baylor University uses embedded AI to raise payroll data validation efficiency 65%
Baylor University combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center, using new AI-enabled capabilities as part of its payroll automation transformation. The change delivered a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time.
Was this helpful?
Your feedback helps us improve our use case database

