This literature review project investigates adaptivity in digital cognitive training, focusing on how difficulty levels adjust in real time to match user performance. By analyzing different adaptive techniques—ranging from rule-based to AI-driven machine learning approaches—we aim to understand their impact on motivation, engagement, and cognitive gains. Our systematic review categorizes existing interventions, evaluating their effectiveness in improving attention and executive functions across different age groups. Through this research, we provide insights into how personalized digital learning experiences can optimize training outcomes. This project is ideal for students interested in educational technology, psychology, and human-computer interaction, offering a unique opportunity to explore how adaptive systems enhance learning and cognitive development.

The selected student will have to opportunity to be part of the Brain & Learning Lab team (lead by prof. Bavelier). Specifically, the student will work closely with Sylvie Denkinger (grad student) and collaborator in another university (Angela Pasqualotto).

• The project runs from 30 August 2025 till 20 December 2025.
• Number of placements available: 1

Prerequisites

• Interest in learning new software such as Covidence and in the review processing.

Faculty Department

Faculty of Educational Sciences and Psychology / Brain and Learning lab

A distinctive feature of the human brain is its capacity to learn and adapt to an ever-changing environment.  What are the factors that promote such learning and brain plasticity?  Are some parts of our nervous system more plastic than others, making some skills easier to acquire?  Answers to these questions are central to basic science, education, clinical rehabilitation, and aging.  To address these questions, our lab uses a multidisciplinary approach (behavior, brain imaging, eye tracking, vital statistics) to study how individuals learn and adapt after training. The lab is studying the impact of video games and more generally technology use on brain plasticity.