Give Educators Back Their Time, Keep the Final Say

Interview with Ms. Mary Anne G. Eugenio

Are teachers still stuck doing the work AI could draft? In this rapid-fire conversation from the C&Education Conversation Series, Mary Anne G. Eugenio, Product Division Head at C&E Publishing, Inc., talks about how Redmenta scales personalization for 20+ student classes, how Syllabuild AI drafts higher-ed courses in minutes, and why the educator keeps the final say.

Featured edtech leader

Mary Anne G. Eugenio

Product Division Head at C&E Publishing, Inc., the print and publishing arm of C&E Adaptive Learning Solutions. She talks about how to personalize teaching when a class is 20+ students, how to move from a learning need to the next activity in days rather than weeks, and how faculty get a reviewable course draft instead of a blank page, without handing over the last decision.

Rapid-fire takeaway

“Redmenta isn’t a blank chat box. It’s built around how teachers actually work. While a regular chatbot can help you draft a worksheet, it can’t remember the last week’s performance and connect to what you can assign. This continuity is the whole point.”

  • Personalization at scale
  • Teacher keeps final say
  • Weeks to days
  • Time back to teach

About this conversation

Personalized teaching is valuable. It is hard to sustain when a teacher is managing a full classroom.

In this rapid-fire conversation from the C&Education Conversation Series by C&E Adaptive Learning Solutions, Mary Anne G. Eugenio, Product Division Head at C&E Publishing, Inc., talks about the practical implication of that gap. Filipino teachers typically manage classes of 20+ students. Time and attention are spread thin. AI can close some of that gap if it surfaces what each student needs, and if the teacher still decides what gets assigned.

In day-to-day teaching, that looks like tools built around how teachers work: draft something shareable, look at student work (short answers, essays, even videos), then set the next activity where students are stuck. A regular chatbot can help draft a worksheet. It cannot remember last week’s performance and connect that to what you assign next.

In higher education, the bottleneck is different: structured documentation that normally takes hours. The useful move is a reviewable draft aligned to the university’s syllabus, in minutes, so faculty spend time teaching. It is a starting point. Instructors edit and refine. Final oversight stays with them.

School heads, academic coordinators, department chairs, and faculty who want time back without handing over academic judgment will recognize the same rule at both levels: AI handles the repetitive work. Educators keep the last say.

Key takeaways

  1. 1
    Personalization has to work at a class of 20+ Filipino teachers typically manage classes of 20+ students. AI can help close that gap by surfacing data-driven insight into every student’s individual needs, preferences, and motivators, so attention is not spread equally thin.
  2. 2
    Continuity is the point, not a one-off worksheet Purpose-built teaching tools can draft something you can share right away, then look at student work and help set the next activity where students are stuck. A regular chatbot cannot remember last week’s performance and connect that to what you assign next.
  3. 3
    Recommendations surface. The teacher assigns. The system can flag a skill a group is struggling with and recommend a targeted practice activity. The teacher determines what ultimately gets created and assigned. That shortens intervention time from weeks to days without automating judgment.
  4. 4
    Higher-ed course structure in minutes, not a blank page Course design at university level involves a lot of structured documentation, which normally takes hours. A draft module aligned to the syllabus, plus supporting materials, gives instructors a strong starting point they then shape and finalize.
  5. 5
    A starting point. Faculty keep oversight. Curriculum-compliant structure is useful only if it stays a draft. Instructors edit and refine. It is not a replacement for textbook or faculty expertise. Final oversight always stays with them.

Topics covered

  • Personalized teaching at scale
  • Teacher workload
  • Classroom personalization
  • Teacher judgment
  • Higher education course design
  • Curriculum-compliant drafts
  • Faculty oversight
  • AI in education
  • EdTech Philippines
  • C&E Adaptive Learning Solutions

Discussion guide

  • AI’s potential to scale personalization in Filipino classrooms
  • The scale problem: personalized teaching with a full classroom
  • Why a worksheet draft is not the same as last week’s performance
  • The teacher retains full decision-making authority
  • From a blank page to a reviewable course draft, in minutes

Transcript

Read the full interview

00:16 AI has real potential to scale personalization in education. Filipino teachers typically manage classes of 20+ students, which means their time and attention are spread thin across a long list of responsibilities. AI can help close that gap, giving each teacher, in effect, an on-call assistant that surfaces data-driven insight into every student’s individual needs, preferences, and motivators.

00:49 Redmenta is an AI-powered platform built for teachers, supporting the full teaching cycle, creating lessons and assessments, evaluating student work, and adapting instruction based on real performance data. At its core, we’re solving a scale problem. Personalized teaching is incredibly valuable, but hard to sustain when a teacher is managing a full classroom with limited time. Redmenta gives teachers a purpose-built AI tool, lesson planners, rubric generators, assessment builders, and more, to create personalized learning experiences without the added hours. We see ourselves as partners that help teachers do what they already do best with more time and better insight to do it.

01:38 Redmenta isn’t a blank chat box. It’s built around how teachers actually work. You start with Create, and pick from 160+ tools for teaching, such as lesson planner or rubric generator, and you get something you can share right away. Then Evaluate looks at student work, short answers, essays, even videos, and gives feedback that fits their age. Adapt looks at these results, check where students are stuck, and helps you create the next activity. While a regular chatbot can help you draft a worksheet, it can’t remember the last week’s performance and connect to what you can assign. This continuity is the whole point.

02:24 The key is that the system surfaces recommendations, but the teacher retains full decision-making authority. Redmenta might identify that a group of students is struggling with a particular skill and recommend a targeted practice activity, but the teacher ultimately determines what is created and assigned. That’s a deliberate design choice. We were careful not to build a system that simply generates an endless stream of automated worksheets. Our objective is to shorten the gap between identifying a learning need and acting on it, reducing the intervention time from weeks to days, while ensuring teacher judgment remains central to the process at every stage.

03:09 Sure, that’s Syllabuild AI. While Redmenta lives in the day-to-day of K-12 teaching, Syllabuild AI is developed for higher education, specifically around course creation for universities and colleges. It’s a different problem. Less about daily classroom management, and more about building structured, curriculum-compliant courses from the ground up.

03:37 Syllabuild AI is an AI-assisted course creation platform for higher education instructors. It focuses on building full course modules aligned with the university’s syllabus, curriculum, and learning outcomes. Course design at that level involves a lot of structured documentation, objectives, outcomes, outlines, which normally takes hours. Syllabuild AI generates that structure in minutes, giving faculty more time to teach. An instructor provides a course topic, degree program, skills development, allotted time, tone, and desired learning approach, along with the course description, outcomes, and outline. Syllabuild AI then generates a draft module aligned with those inputs, plus supporting materials such as a reference, resources, instructional videos, a glossary, and assessment. So instructors get a strong starting point, not a blank page, while using their expertise to shape and finalize the content.

04:49 Syllabuild AI was built with instructional designers and subject matter experts with real higher education experience, and every module follows a structured framework to stay curriculum compliant. That said, it’s not a replacement for textbook or faculty expertise. It’s a starting point. Instructors can edit and refine, so final oversight always stays with them.

05:18 Yes, in both cases, AI handles the repetitive work so educators can focus on teaching and mentoring. Whether it’s a K-12 teacher or a university professor, the goal isn’t to hand over control. It’s to give educators back their time while keeping the final decisions in their hands. We are also pleased to share that C&E textbooks will be available in Redmenta in the coming months. Those titles will serve as a knowledge base for the platform, so answers stay grounded in the material and stay more accurate. This will be offered to institutional partners with access codes available to other publishers as well. Visit ceals.ph to learn more.

Continue the conversation

We are also pleased to share that C&E textbooks will be available in Redmenta in the coming months. Those titles will serve as a knowledge base for the platform, so answers stay grounded in the material and stay more accurate. This will be offered to institutional partners with access codes available to other publishers as well.

Visit ceals.ph to learn more.