Your Learning Analytics Agent Spots Struggling Students Early
What it takes off your plate
The AgentWorks Learning Analytics Agent pulls student performance data out of your LMS, your student information system and the spreadsheets in between, flags students who are falling behind in the first three weeks of the term, and alerts the advisor or teacher who can help. It also builds the course and program assessment reports your academic leads now assemble by hand, so they can spend that time with students.
Here is how it works today. Grades live in Google Classroom, attendance and demographics live in PowerSchool, and the tutoring log is a spreadsheet one coordinator keeps. None of them talk. A student who has missed two assignments, skipped a lab and stopped logging in shows up on nobody's list until midterm grades post, and by then the conversation is about rescue, not support. At term end, program chairs spend days copying scores into assessment templates for accreditation and review.
The cost is students lost who could have been kept, advisors who meet students too late, and faculty hours spent on reports instead of teaching. The data to catch those students early was there the whole time. It was simply spread across three places, and no one person had the hours to put it together every week for every section.
What the Learning Analytics Agent does, step by step
The Learning Analytics Agent starts with the people who need to know, then does the data work behind them.
- Alerts the right person. When a student's pattern turns worrying, the agent emails or messages the advisor and the course teacher with what changed: missed work, falling scores, fewer logins, absences.
- Books the check-in. It offers the advisor's open times through Calendly and sends the student an invitation to meet, with a reminder the day before.
- Keeps families informed where appropriate. For younger students, it sends the family a short progress note by email or SMS through Twilio, in their preferred language, with the teacher's name to contact.
- Follows up on the outcome. After the check-in, it asks the advisor what was agreed and watches whether the student's work improves over the next weeks.
- Aggregates performance data. It joins gradebook scores, assignment submissions, attendance and LMS activity from Google Classroom, PowerSchool and your spreadsheets into one view per student.
- Identifies at-risk students early. In the first three weeks of the term, it flags students whose pattern matches those who struggled in past terms.
- Recommends an intervention. Based on what worked before (tutoring, an advisor meeting, a schedule change), it suggests a starting point for staff to choose from.
- Builds assessment reports. At term end, it generates course and program assessment reports from the same data, ready for review.
Where the work is recorded
Every step the Learning Analytics Agent takes lands on the student's record in the system your staff already sees: each alert and who received it, each meeting invitation and whether the student came, each family note, the intervention chosen and how the student's work moved afterward.
The next morning an advisor opens a short list: newly flagged students, check-ins booked, students who didn't respond, and students whose work has recovered. When a teacher asks why a student was flagged, the reasons are on the record. An agent that can't record what it did is only a chatbot.
The same school usually needs help earlier in the pipeline too; see handling student enrollments during peak periods and how an enrollment registration system unclogs admissions.
What your people do instead
Your people stay with the student in front of them. The advisor spends the meeting on the student's schedule, job and goals, not on pulling grades together first. Teachers teach, knowing someone is watching the whole picture. Program chairs review a finished assessment report and decide what to change in the course.
Student support and family trust are the human job. The Learning Analytics Agent keeps the data joined, the alerts moving and the follow-ups on schedule, so when a person steps in it is early enough to matter.
One next step
If your early alerts arrive after midterms, take the free Industry Assessment. It shows which workflow an agent should take first at your school. Then see every agent AgentWorks builds for schools on the education industry page.
See where the Learning Analytics Agent would start in your education business.
I'm Olivia, the Education ambassador here. The free Industry Assessment reads your website and asks how calls, follow-ups and records happen today, then shows the first workflow worth handing to an agent like this one — and what your team gets back. Leave your email and I'll send the link.
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