Technology’s value lies in reinforcing pedagogical goals, not in replacing them.
GUEST COLUMN | by Arléne Botokro
ATANU TANMOY
Schools have always relied on attendance as a stand-in for learning—but showing up isn’t the same as engaging. Real comprehension occurs when students ask questions, formulate new ideas, collaborate, and reflect. It’s not about being present—it’s about being mentally invested.
Research backs this up: A meta-analysis published in Higher Education found that students engaged in active learning environments performed significantly better on assessments, with an average improvement of approximately 0.49 standard deviations compared to those in traditional lecture settings.
While technology can’t create engagement on its own, it can help educators measure it, and use those insights to improve teaching and learning.
‘While technology can’t create engagement on its own, it can help educators measure it, and use those insights to improve teaching and learning.’
Attendance Is Easy to Track—But Misleading
While attendance has been a popular metric used in schools, it’s often applied carelessly, frequently being used as a proxy for productivity. Although easy to track, mere physical presence is not equal to cognitive presence, as it doesn’t indicate comprehension or retention.
A research article, Is Showing Up Half the Work? The Relationship among Student Attendance, Engagement and Test Scores found that while attendance and engagement are both influential to an exam score, a student’s engagement accounted for a 6–10% variance in achievement. Students with perfect attendance but low engagement underperformed compared to those with high engagement, emphasizing that active participation is a stronger predictor of academic success than attendance alone.
Attendance isn’t the only metric in the schoolbook, and engagement is what takes a student from a passive learner to an active participant.
Engagement: The Missing Metric
Engagement involves cognitive, emotional, and behavioral investment in learning—seen through active participation, curiosity, and discussion.
Additionally, engagement is not only one of the four pillars of learning but also reinforces the other three.
Cognitive neuroscientist Stanislas Dehaene outlines these four pillars:
1. Attention: The gateway to learning, this must be captured before anything else.
2. Active engagement: Doing, discussing, and applying—not just listening.
3. Feedback: Ongoing assessment to adjust and deepen understanding.
4. Consolidation: Internalizing knowledge into long-term memory.
Engagement includes asking thoughtful questions, formulating ideas, collaborating, or reflecting, whether in groups or individually. It enables sustained attention, allowing students to reinforce consolidation by anchoring new knowledge in intentional effort. Without engagement, attention wanes, feedback has no context, and consolidation lacks traction.
With this in mind, educational institutions should be measuring metrics that truly matter, such as:
- Interaction quality: Tracking the number and type of questions a student asks is key. A question that opens a new line of thought or challenges an idea shows a different level of engagement than one that checks for comprehension.
- Peer interactions: When students explain concepts to one another, comment thoughtfully, or co-construct answers, this signals active engagement.
Engagement metrics help instructors understand not only how students are interacting with content but also how learners are thinking. For instance, when common confusion points appear, adjustments can be based on patterns, not assumptions. Therefore, engagement data becomes part of an iterative process, supporting both teaching and learning.
Using Technology to Track Meaningful Learning
Engagement isn’t created by tools, yet technology helps support engagement when scale or context makes it more difficult to engage everyone. Its value lies in reinforcing pedagogical goals, not in replacing them.
For example, relying on perception alone can overlook quieter students. Interactive response systems offer individual-level participation data, giving a clearer, more equitable view of engagement. If many students misunderstand a question, technology can flag the issue in real time, reminding educators to revisit the topic and keep learning on track.
Learning management systems (LMS) can monitor time spent on tasks and even the sequence in which students engage with content. This makes LMS an effective tool for tracking engagement across in-person lessons and independent learning.
AI can support engagement by offering lesson structure and inspiration, especially for subject matter experts like engineers or business leaders who aren’t trained educators. Simple additions like a quiz or discussion prompt can significantly boost learner involvement and engagement. Furthermore, AI tools should simplify, not complicate. When seamlessly integrated, they can automate tasks like grading, making it easier for educators to adopt and scale engaging instruction across an institution.
Engagement data should serve learning, not surveillance. Thanks to recent technological innovations, teachers can nurture real-time engagement and support more meaningful learning. We encourage colleges and universities to shift their focus from rewarding compliance to valuing participation and growth, ensuring every student is supported and engaged.
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Arléne Botokro is Head of Learning Innovation at WooClap. Arlène helps higher education institutions and corporate L&D teams implement interactive learning experiences. Her previous experiences focus on learning design, educational technology and digital practices in international settings based in the U.S., France and Ghana. Connect with Arléne on LinkedIn.
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