Hi 👋,

I'm Athul Sudheesh.

I'm a Computational Psychometrician who specializes in building explainable models of human cognitive functioning in realistic, real-world contexts. My work focuses on developing frameworks to measure learning outcomes and evaluating what truly works in diverse learning environments.

What is cognitive functioning?

Cognition functioning is an umbrella term used to refer multiple mental abilities like learning, thinking, reasoning, remembering, problem-solving, decision-making, and attention.

What are explainable models?

Explainable models aim to provide causal explanations of why things happen the way they do in the phenomena we are interested in. These are contrastive to the black-box modeling approaches widely prevalent in today's AI/ML apps.

Why building explainable models of cognitive functioning are hard?

Building explainable models of cognitive functioning is challenging because the factors (skills, knowledge, abilities, emotions) underlying psychological phenomena are not directly observable (measurable). We can only make inferences about these factors from the outcomes that are observable as part of the interaction between humans and the tasks that engage their cognitive functions. Hence, these situations first require establishing a strong theory of psychological measurement for the given task before we can build explainable models of cognitive functioning.

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