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Muhammad Ahmad Taufiq Api Gadi
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Educational Psychology & AI Researcher

Muhammad Ahmad Taufiq Api Gadi

Handing a confused student a faster answering machine does not help them learn. It just makes them dependent.

taufik@afirmasi.org
Malang, Indonesia

About

Growing up in Malang, Taufik noticed a recurring pattern among students. Many were highly capable but struggled to manage themselves when facing complex choices. It wasn't a lack of intelligence, but a lack of learning strategies and mature decision-making skills.

He saw bright students held back by career anxiety and academic pressure. This experience led him to study Guidance and Counseling at Universitas Negeri Malang, focusing on how motivation and self-regulation work during the learning process.

His expertise centers on Self-Regulated Learning (SRL). He developed the SCORE framework, an approach to help students build habits of planning, monitoring, and evaluating their own learning independently.

Today, Taufik brings this psychological perspective to the development of educational AI. He starts from one crucial question: Does AI actually help students learn, or does it just make them more dependent?

At AFIRMASI, he ensures that technology doesn't just provide answers, but trains students to think, reflect, and take control of their learning. As sons and daughters of the nation who care for 3T regions, we believe AI for education must be empowering. Deploying AI for accurate equity means ensuring every intervention strengthens a student's cognitive independence, rather than replacing it.

Activity Gallery

Educational Psychology & Learning

Educational Psychology & Learning

Researching Self-Regulated Learning interventions

Researching Self-Regulated Learning interventions

Guidance and counseling theoretical frameworks

Guidance and counseling theoretical frameworks

Testing the SCORE module in active learning environment

Testing the SCORE module in active learning environment

Vision

Building an educational ecosystem where AI acts as a temporary scaffold to train independent thinking, not as a replacement for human reasoning.

Mission

Integrate self-regulated learning (SRL) frameworks into algorithmic design. Prevent the creation of machine-dependent students. Measure the impact of automated assistance on student career anxiety.

Why AFIRMASI?

AFIRMASI does not view education merely as data transfer. Here, we can directly test the psychological impact of using technology in rural areas, ensuring that AI genuinely builds local community independence.

Cognitive Autonomy
Psychological Resilience
Measured Support