This researcher focuses on developing strategies that reduce cognitive load during learning, emphasizing the importance of self-regulation for improved academic outcomes. Their work integrates insights from metacognition and behavioral science with advancements in brain-technology, particularly in neural interfaces, to enhance communication across diverse contexts. Their findings draw from numerous studies on neuroplasticity, eye movement control, working memory, reading comprehension, and executive functioning, ultimately aiming to inform innovative approaches for mitigating decoding errors and advancing human learning.
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This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.