Anxiety about the effects of social media on young people has risen to such an extreme that giving children smartphones is sometimes equated to handing them a gram of cocaine. The reality is much less alarming.
A close look at social media use shows that most young texters and Instagrammers are fine. Heavy use can lead to problems, but many early studies and news headlines have overstated dangers and omitted context.
Researchers are now examining these diverging viewpoints, looking for nuance and developing better methods for measuring whether social media and related technologies have any meaningful impact on mental health.
The Future of Learning. Delivered Today Continue A bold promise made a reality through: The Canopy: A social learning platform powered by AIA Nordic research-based social elearning platform designed to enable the development of competencies. The adaptive quizzes and the built-in social network str ...
Piazza is a free online gathering place where students can ask, answer, and explore 24/7, under the guidance of their instructors. Students as well as instructors can answer questions, fueling a healthy, collaborative discussion.
In the Developmental Intelligence Laboratory, we are interested in understanding fundamental cognitive mechanisms of human intelligence, human learning, and human interaction and communication in everyday activities. To do so, we collect and analyze micro-level multimodal behavioral data using state-of-the-art sensing and computational techniques. One of our primary research aims is to understand human learning and early development. How do young children acquire fundamental knowledge of the world? How do they select and process the information around them and learn from scratch? How do they learn to move their bodies and to communicate and interact with others? Learning this kind of knowledge and skills is the core of human intelligence. To understand how human learners achieve the learning goal, the primary approach in our research is to attach GoPro-like cameras on the head of young children to record egocentric video from their point of view. Using this innovative approach, we've been collecting video data of children’s everyday activities, such as playing with their parents and their peers, reading books with parents and caregivers, and playing outside. We've been using state-of-the-art machine learning and data mining approaches to analyze high-density behavioral data. This research line will ultimately solve the mystery on why human children are such efficient learners. Moreover, the findings from our research will be used to help improve learning of children with developmental deficits. A complimentary research line is to explore how human learning can teach us about how machines can learn. Can we model and simulate how a human child learns and develops? To this end, our research aims at bridging and connecting developmental science in psychology and machine learning and computer vision in computer science.
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