Marcos Moreno ’17 has received a 2016 Udall scholarship, which supports undergraduates with excellent academic records and who show potential for careers in environmental public policy, health care and tribal public policy.
Moreno, a human development major concentrating in neuroscience in the College of Human Ecology, was one of five health care scholars selected to receive the award. Overall, he was among the 60 candidates selected out of 482 candidates from 227 colleges and universities. The scholarship provides $7,000 for one year.
Moreno is a member of the Pascua Yaqui tribe, born and raised on the Pascua Yaqui reservation in southern Arizona. He is a pre-med student, studying neuroscience and American Indian studies, with extensive experience as a researcher.
He is currently working in two Cornell laboratories: the child development lab of Gary Evans, the Elizabeth Lee Vincent Professor in the Departments of Design and Environmental Analysis and of Human Development, and the integrative neuroethology lab of Alexander Ophir, assistant professor of psychology. Moreno has also been a part of a public health project for his tribe’s reservation in 2014, has participated in medical brigades in West Africa and has spent time volunteering in his tribe’s affiliate health clinics.
At Cornell, he is a resident adviser at Akwe:kon and a First in Class mobilizer with the Office of Academic Diversity Initiatives program to support first-generation students. He also volunteers as a tutor for Native American students from the Onondaga Nation at Lafayette Junior and Senior High School in Lafayette, New York.
Upon completion of medical school, he intends to return to his Arizona reservation as a primary care physician with a focus on the interconnections between physical and mental health.
The 2016 Udall Scholars will assemble August 9-14 in Tucson, Arizona, to meet one another and program alumni, learn more about the Udall legacy of public service and interact with community leaders in environmental fields, tribal health care and governance.
The Udall Foundation is an independent federal agency established by Congress to honor Congressman Morris K. Udall and Secretary of the Interior Stewart L. Udall. Its programs promote leadership, education, collaboration and conflict resolution in the areas of the environment, public lands, natural resources and Native nations.
In faculty research labs, in communities across the state, and at jobs and internships around the globe, Human Ecology undergrads are making a powerful impact this summer as they apply their knowledge and skills in real-world settings.
Deborah Seok ’17, a human development major from Queens, N.Y., shares her research on toddler spatial language development in Harlem Head Start programs:
What are you working on this summer?
I am working with children in the New York City area to study early development of spatial abilities. For the first study, we are looking at whether spatial training activities, such as origami and playing with Legos, will enhance preschooler spatial skills. The second study looks at what kinds of play experiences contribute to these abilities. More specifically, we want to see whether providing constructive toys, like building blocks and puzzles, to families will enhance toddlers’ spatial skills.
How does this work relate to your coursework?
Much of scientific research focuses on the impact of early experience on human development. The research that I am involved with this summer looks at what kinds of specific factors, such as language input and types of toys played with, can enhance children’s learning abilities. It also addresses bigger scale issues like the effects of socioeconomic status on early development. By running intervention-based research, I am able to take the concepts that I learn in the classroom and apply them to the real-world problems in the community.
Who are your Human Ecology faculty mentors?
My primary faculty mentor is Marianella Casasola, associate professor of human development. As director of the Cornell Infant Studies Lab (CISL) and my research supervisor, she oversees all of the projects that I work on. With her guidance and support, I am able to advance my research experience and knowledge in the field of child development. Steve Robertson, professor of human development, is another faculty mentor who has also played a major role in my academic experience here at Cornell. Having taken two seminar courses with him, I have not only learned so much, but also had many opportunities to discuss and explore my own interests with him.
What excites you about your internship?
I’ve always loved working with children, and this summer is the best experience I could ever ask for. I would say that the best part about my internship is the purpose behind it. As an avid supporter of early development and education, I am so excited to be contributing to research that seeks to enhance early learning experiences and make a difference in children’s lives. This strongly motivates me and gives me a glimpse of what I would like to do in the future.
What societal impacts does your work have?
Our research is centered on early intervention work that seeks to promote spatial skill development in children, both at school and home settings. Working with children at a Head Start center in Harlem, New York, allows us to focus on families from especially disadvantaged backgrounds and target environmental factors such as low socioeconomic status.
The fifth blog of a six-part series on Researching Human Intelligence. Posted on June 15, 2016 fifteeneightyfour, the blog of Cambridge University Press
If we mean the kind of intelligence that IQ tests at present measure, the Wechsler tests plus Sternberg, I doubt there will be any new breakthroughs in measuring intelligence on the psychological level, at least in fully modern societies. Measurements on the level of brain physiology are dependent on IQ test results to map what areas of the brains are active in various problem-solving tasks. One suggestion should be set aside: that we use measurements of things like reaction times (how quickly a person can press a button when perceiving a light or hearing a sound) as a substitute for IQ tests. They are subject to differences in temperament between people, stop increasing far too young to capture the maturation of intelligence, and are much subject to practice effects.I do not know enough about creating tests for pre-industrial societies to comment. However, even the use of “our” tests there can be illuminating. In the Sudan, there was a large gain on Object Assembly and Coding, subtests responsive to modernity’s emphasis on spatial skills and speedy information processing. There were moderate gains on Picture Arrangement and Picture Completion, subtests responsive to modernity’s visual culture. As the “new ways of thinking” subtests, Block Design and Similarities, they actually showed a loss. On the “school-basics” subtests of Information, Arithmetic, and Vocabulary, only a slight gain. Diagnosis: no real progress to modernity. They still have traditional formal schooling based on the Koran, and have not learned to use logic on abstractions and to classify. Their entry into the modern world is superficial: just access to radio, TV, and the internet. However, the profile of other nations (Turkey, Brazil) is more promising. If they continue to develop economically, their average IQs will equal those of the West.
Robert Sternberg:
We have developed what we believe to be better tests that measure no only the analytical aspect of intelligence but also the creative, practical, and wisdom-based ones. For example, an analytical item might ask an individual to write an essay on why her favourite book is her favourite book—or perhaps comparing the messages of two books. A creative essay might ask what the world would be like today if the American Revolution had never taken place or if computers had never been invented or if weapons were made illegal throughout the entire world. Another create item might ask people to draw something creative or to design a scientific experiment or to write a creative story. A practical item might ask an individual how he persuaded someone else of an idea he had that the other person initially reacted to sceptically. Or it might ask the individual to say how he would solve a practical problem such as how to move a large bed to a second floor in a house with a winding staircase. A wisdom-based item might ask a person how, in the future, she might make the world a better place; or an item might ask her to resolve a conflict between two neighbours, such as over noise issues.We have found that, through these tests, it is possible clearly to separate out distinct analytical, creative, and practical factors. These tests increase prediction not only of academic achievement (compared with traditional analytical tests), but also increase prediction of extracurricular success. Moreover, they substantially reduce ethnic/racial group differences. Moreover, students actually like to take the tests, something that cannot be said for traditional tests.
Richard Haier:
There is research oriented to measuring intelligence based on using brain speed measured by reaction time to solving mental test items.
There are major advances using neuroimaging to predict IQ scores from structural and functional connections in the brain. Just after I finished writing my book detailing these advances and noting that none were yet successful, a new study found a way to create a brain fingerprint based on imaging brain connections. They reported that these brain fingerprints were unique and stable within a person. Amazingly, they also found these brain fingerprints predicted IQ scores—truly a landmark study. Fortunately, I was able to add it to my book in time. One implication of this kind of research is that intelligence can be measured by brain imaging. Interestingly, a brain image now costs less than an IQ test. If a brain imaging method to assess intelligence also turns out to predict academic success (as it should), an MRI scan might replace the SATs at a much cheaper cost than an SAT prep course (and you can sleep during the MRI).
James R. Flynn is the author of Does Your Family Make You Smarter? He is professor emeritus at the University of Otago, New Zealand, and a recipient of the University's Gold Medal for Distinguished Career Research. He is renowned for the 'Flynn effect', the documentation of massive IQ gains from one generation to another....View the Author profile >
Robert J. Sternberg is Professor of Human Development at Cornell University, New York. Formerly, he was IBM Professor of Psychology and Education at Yale University, Connecticut. He won the 1999 James McKeen Cattell Fellow Award and the 2017 William James Fellow Award from APS. He is editor of Perspectives on Psychological Science. His main fields ...View the Author profile >
New book probes emotion, aging and healthNew approaches to understanding physical and psychological changes in old age – differences in personality, for instance, or responses to stressful events and the role of positive emotions in promoting well-being – are presented in a new book co-edited by Cornell human development professors Anthony Ong and Corinna Loeckenhoff.
Retweeting may overload your brainIn a digital world where information is at your fingertips, be prepared to hold on tight before it slips right through them. Research at Cornell and Beijing University finds retweeting or otherwise sharing information creates a “cognitive overload” that interferes with learning and retaining what you’ve just seen.
Inside Cornell’s BABY LabsSteven S. Robertson and Marianella Casasola, professors in Human Development, run baby labs at Cornell. where researchers are discovering more about the nuances of infant development. It’s a crucial area of academic research and exploration, given the impact early development has on later stages of life.
Side by side Many undergraduates in Human Development work side by side with faculty in the lab. Read about this transformative approach to learning in an interview with Annie Erickson '16 and her mentor, Professor Eve De Rosa.
Human development professors Anthony Ong and Corinna Loeckenoff. Jason Koski/University Photography
New approaches to understanding physical and psychological changes in old age – differences in personality, for instance, or responses to stressful events and the role of positive emotions in promoting well-being – are presented in a new book co-edited by Cornell human development professors Anthony Ongand Corinna Loeckenhoff.
“We’re only beginning to understand the complex interplay between emotional experiences and physical health across the adult life span,” said Loeckenhoff. “One of the most important developments in recent years is this: We can finally draw connections between subjective emotional experience, patterns of brain activation, and biomarkers of chronic stress.”
Loeckenhoff said science has been “so focused on understanding emotion as a marker of mental health that we have overlooked its implications for physical health. Especially in later life, emotional responses can buffer the adverse effects of physical conditions; but they (emotional responses) can also be a risk factor for adverse health outcomes.”
Ong said the publication “provides a state-of-the art overview of methods and approaches associated with the study of emotional aging and health. The chapters, written by leading researchers in the field, discuss topics such as emotion regulation, cross-cultural research, healthy aging and interventions.” He hopes some of the questions raised will stimulate future investigation, and that the new volume will help students and scholars “gain a working understanding of research approaches and key issues at the intersection of emotion, aging and health.”
Conference presenters – mainly psychologists and experts in human development – came from an international cross-section of institutions: Cornell, Harvard, Northeastern and Stanford universities and the University of California, among others, as well as Universidad Rey Juan Carlos in Madrid and the Max Planck Institute for Human Development in Berlin.
Writing the volume’s foreword, gerontologist Karl Pillemer, Cornell’s Hazel E. Reed Professor of Human Development and BCTR director, imagines the book would please Bronfenbrenner. “As a translational researcher before the name existed, he would embrace the themes of development and plasticity in later life, the importance given to social and cultural factors in understanding emotions, and the commitment to applying these scientific insights in creating an optimal world in which to grow old.”
In a digital world where information is at your fingertips, be prepared to hold on tight before it slips right through them. Research at Cornell and Beijing University finds retweeting or otherwise sharing information creates a “cognitive overload” that interferes with learning and retaining what you’ve just seen.
Worse yet, that overload can spill over and diminish performance in the real world.
“Most people don’t post original ideas any more. You just share what you read with your friends,” said Qi Wang, professor of human development in the College of Human Ecology. “But they don’t realize that sharing has a downside. It may interfere with other things we do.”
Wang and colleagues in China conducted experiments showing that “retweeting” interfered with learning and memory, both online and off. The experiments are described in Issue 59 (2016) of the journal Computers in Human Behavior.
The experiments were conducted at Beijing University, with a group of Chinese college students as subjects. At computers in a laboratory setting, two groups were presented with a series of messages from Weibo, the Chinese equivalent of Twitter. After reading each message, members of one group had options either to repost or go on to the next message. The other group was given only the “next” option.
After finishing a series of messages, the students were given an online test on the content of those messages. Those in the repost group offered almost twice as many wrong answers and often demonstrated poor comprehension. What they did remember they often remembered poorly, Wang reported. “For things that they reposted, they remembered especially worse,” she added.
The researchers theorized that reposters were suffering from “cognitive overload.” When there is a choice to share or not share, the decision itself consumes cognitive resources, Wang explained.
This led to a second experiment: After viewing a series of Weibo messages, the students were given an unrelated paper test on their comprehension of a New Scientist article. Again, participants in the no-feedback group outperformed the reposters. Subjects also completed a Workload Profile Index, in which they were asked to rate the cognitive demands of the message-viewing task. The results confirmed a higher cognitive drain for the repost group.
“[The sharing] leads to cognitive overload, and that interferes with the subsequent task,” Wang said. “In real life when students are surfing online and exchanging information and right after that they go to take a test, they may perform worse,” she suggested.
Noting that other research has shown people often pay more attention to elements of a web design such as “repost” or “like” than to the content, the researchers suggest that web interfaces should be designed to promote rather than interfere with cognitive processing. “Online design should be simple and task-relevant,” Wang concluded.
The research was supported by the Chinese National Natural Science Foundation.
An 18-month-old boy sits on his father’s lap in a small room furnished with a child-sized chair and a short table. The boy faces a monitor. On it, a video starts to play. A woman, Psychology graduate student Kate Brunick, assembles a simple toy—she holds two bright green cups, places a plastic object inside one, brings the cups together, and closes them to form a capsule. She shakes it; it’s a makeshift rattle.
As the boy watches the video, Michael H. Goldstein, Psychology, and his graduate students observe from the B.A.B.Y. (Behavioral Analysis of Beginning Years) lab’s observation room, a space hidden behind one-way glass and filled with monitors and video controls. Once the recording is done, Psychology graduate student Melissa Elston heads into the room where the boy and father sit. She’s carrying the toy from the video clip and places it on top of the table in front of the boy.
The boy doesn’t budge. After a couple minutes of encouragement from Elston, it’s clear he’s not assembling a rattle on this visit. It’s not a failure. This is exactly what Goldstein expects.
The study is just one of the many taking place at Cornell’s infant labs, where researchers are discovering more about the nuances of infant development. It’s a crucial area of academic research and exploration, given the impact early development has on later stages of life.
How Babies Learn in Social Settings
This particular study is on a phenomenon called the "video deficit effect," in which babies from 12 to 30 months are much worse at learning from video presentations than from real-life experiences. The group studies the babies in three scenarios: one in which babies see a live presentation of putting the toy together, another with an automatic pre-recorded video, and a third in which the baby has to press a button in order to play the pre-recorded video. Their theory is that the first group will learn, the second won’t, and the third will because the experience is contingent on and immediately follows their own action.
The study falls under the lab’s research on how babies learn in social context. Most of the work Goldstein and his codirector, Jennifer Schwade, do is on how social interactions affect the acquisition of speech and language in both babies and songbirds (in their case, song). Contingency, they’ve found, is crucial to learning.
Goldstein argues that the social behavior of adults contains patterns that can guide young learners. “If you want to understand how infants learn, you’ve got to understand not only what’s in the baby’s head but what social environment the baby’s head is in,” he says.
Steve S. Roberston, Professor in Human Development
If, when you think of an infant lab, you imagine a baby outfitted with sensors, you’re on the right track when it comes to Robertson’s research. He examines mind–body relations in very young babies, typically three-month-olds. Specifically, he looks at the relationships between vision, motor activity, and attention during visual foraging, a major way in which infants gather information from their surroundings.
“If you want to understand how infants learn, you’ve got to understand not only what’s in the baby’s head but what social environment the baby’s head is in,” Goldstein says.
To study the dynamics of visual foraging, Robertson depends on EEG measurements and a few flashing rubber ducks. When a baby arrives at the lab, she is placed in a high chair in front of three yellow rubber ducks. The ducks are outfitted with LED lights and attached to motor-controlled rods that can move them right and left. Atop the baby’s head is an EEG cap. It measures the oscillations in the activity of visual neurons. Each duck’s light flashes at a different frequency and the baby’s oscillations in neural activity will match the frequency of the duck receiving her attention.
Through these measurements, Robertson knows when a baby is paying attention to a certain duck. A video camera records the baby, so they can see how her eyes move in relation to that attention. What Robertson found and reported in a study published in the Proceedings of the National Academy of Sciences in 2012 is that attention is not always directly correlated to gaze. In fact, babies redirect their attention to a new duck ahead of actually looking at it. What’s more surprising is that a second or two before shifting to the new duck, babies actually paid more attention to the duck they didn’t choose to look at.
Robertson sees this behavior as consistent with the inhibition of return (IOR) observed in adults. In IOR, attention is suppressed toward previously inspected areas or objects in favor of new locations or objects. It would make sense for a baby to look at, and focus attention toward, a duck that it had not been paying attention to earlier.
Robertson is currently conducting further studies to test whether the behavior in infants truly is the development of IOR. “The adaptive value of this in visual exploration is that it keeps you from going to the same spot,” Robertson says. “You get to literally explore new locations in your environment and pick up new information.” And he adds that it’s especially important to study in infants because “the nature of visual input during this period has important consequences for the structural and functional development of the brain,” which happens quickly in early infancy.
Marianella Casasola, Proessor in Human Development
Casasola agrees that looking at babies is crucial for tracing how certain skills develop. One of her main interests is in understanding the link between spatial cognition and the acquisition of spatial language—language relating to space, location, and shapes.
Spatial awareness is a core cognitive ability. It is linked to achievement in math and sciences and has broader implications for everyday life. For example, spatial cognition relates to our ability to navigate, to project how objects will look from different angles, and even to reading orientation. Casasola wants to understand how these skills develop, but she also aims to figure out how they relate to acquisition of spatial language and what sorts of experiences promote spatial skills.
For this area of research, Casasola studies a wide age range, from babies at 14 months up to toddlers at 4.5 years old. The studies vary from age to age. For example, younger babies watch a computer animation of two halves of a shape—say, a heart—on either side of a curtain. The two halves move together and then disappear behind the curtain. The curtain then lifts and shows the whole heart. Or, it could show a completely different shape, like a square. Casasola relies on infant looking time to determine how they perceive these expected and unexpected shapes.
Older children are asked to put halves of foam shapes together. Casasola has also done naturalistic studies, during which researchers play with kids using spatial toys—puzzles, origami, and Legos. One group receives a lot of spatial language: “Fold the paper horizontally, you’ve made a triangle.” The other group receives general language, like “do this, now fold it like this, look what you’ve made.” What Casasola’s research found is that children with more exposure to spatial language are much better at naming shapes. The more spatial language a child acquires, the better they are at accomplishing nonverbal spatial tasks. Throughout the studies of spatial learning, Casasola wants to determine at what ages significant advances can be made.
“No one has looked at trajectory, which is important,” she says. “It can answer questions like, how stable are spatial skills? It can also highlight when might be ultimate time periods to promote it.” Knowing this will be useful for effective interventions that nurture better spatial cognition to help babies and children develop better spatial cognition abilities.
Using the Research
Goldstein is already on his way to applying his research findings to real-world intervention. Cornell’s Bronfenbrenner Center for Translational Research has recently funded the B.A.B.Y. Lab’s pilot intervention program to aid infant language development in low socioeconomic status families.
In previous research, the lab found that the timing and the form of reactions to infant babbling are crucial for language development. For example, if a baby is babbling at a toy, it’s important to respond immediately and to engage with that toy. The baby then sees there’s a reward to vocalizing and takes the next learning step.
The work done in the infant labs has a direct public impact. “Outreach is the real key,” Goldstein says. “We’re doing work that should improve the lives of parents and infants.”
A Rebecca Q. and James C. Morgan Sesquicentennial Faculty Fellow, Spreng is curious about how volunteer test subjects in his Laboratory of Brain and Cognition conceive of the future and how they navigate the social world. Then there’s the hypothesized link between thinking about the past and imagining the future. “These different cognitive tasks activate similar brain regions,” Spreng
explains. “But it’s actually the other regions they talk to that help determine whether we’re thinking about the past or the future.”
It’s not only when the brain is doing something—performing cognitive tasks—that’s interesting to Spreng. Neuroscientists also study brain activity while people are simply resting in the scanner. But do our brains ever truly “rest”?
Not according to Spreng: “Signaling is always going on up there. Understanding how different brain regions hum along together (or are connected functionally) while people are simply resting can tell us a lot about how their brains work during cognitive tasks, and might eventually help us predict how resilient they will be to aging or brain disease.”
Spreng believes there’s even more in the resting-state fMRI data than previously imagined. In collaboration with Peter Doerschuk, professor of biomedical engineering, Spreng is developing a new method for analyzing resting-state activity. Doerschuk, also a Harvard-educated medical doctor, excels at developing algorithms for high-performance software systems.
In published reports of their progress so far, Spreng and Doerschuk say they’re finding ways to add important new details to the map of the resting brain— details like causality and direction of information flow between regions. Cause
and signaling direction are important considerations, Spreng notes, “when characterizing exactly how that network operates, and how information flows through the system, and how it might be involved in cognitive functions.”
The Cornell collaborators say their new statistical method shows promise in tracking both causation and direction of neural signals, showing us that the resting brain is anything but.