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Measuring how teachers' emotions can impact student learning

University of Delaware professor Leigh McLean has developed a new tool for measuring teachers’ emotional expressions and studying how these expressions affect their students’ attitudes toward learning. McLean uses this tool to gather new data showing emotional transmission between teachers and their students in fourth-grade classrooms. McLean and co-author Nathan Jones of Boston University share the results of their use of the tool in a new article in Contemporary Educational Psychology. They found that teachers displayed far more positive emotions than negative ones. But they also found that some teachers showed high levels of negative emotions. In these cases, teachers’ expressions of negative emotions were associated with reduced student enjoyment of learning and engagement. These findings add to a compelling body of research highlighting the importance of teachers’ and students’ emotional experiences within the context of teaching and learning. “Anyone who has been in a classroom knows that it is an inherently emotional environment, but we still don’t fully understand exactly how emotions, and especially the teachers’ emotions, work to either support or detract from students’ learning,” said McLean, who studies teachers’ emotions and well-being in the College of Education and Human Development’s School of Education (SOE) and Center Research in Education and Social Policy. “This new tool, and these findings, help us understand these processes more precisely and point to how we might provide emotion-centered classroom supports.” Measuring teacher and student emotions McLean and Jones collected survey data and video-recorded classroom observations from 65 fourth-grade teachers and 805 students in a Southwestern U.S. state. The surveys asked participants to report their emotions and emotion-related experiences — like feelings of enjoyment, worry or boredom — as well as their teaching and learning behaviors in mathematics and English language arts (ELA). Using the new observational tool they developed — the Teacher Affect Coding System — McLean and Jones also assessed teachers’ vocal tones, body posturing, body movements and facial expressions during classroom instruction and categorized outward displays of emotion as positive, negative or neutral. For example, higher-pitched or lilting vocal tones were categorized as positive, while noticeably harsh or sad vocal tones were categorized as negative. Overall, McLean and Jones found that teachers spent most of their instructional time displaying outward positive emotions. Interestingly though, they did not find any associations between these positive emotions and students’ content-related emotions or learning attitudes in ELA or math. “This lack of association might be because outward positivity is the relative ‘norm’ for elementary school teachers, and our data seem to support that,” McLean said. “That’s not to say that teachers’ positivity isn’t important, though. Decades of research has shown us that when teachers are warm, responsive and supportive, and when they foster positive relationships with their students, students do better in almost every way. It could be that positivity works best when done in tandem with other important teacher behaviors or routines, or it could be that it is more relevant for different student outcomes.” However, they did find that a small subset of teachers — about 10% — displayed notable amounts of negative emotions, with some showing negativity during as much as 80% of their instructional time. The students of these teachers reported reduced enjoyment and engagement in their ELA classes and reduced engagement in their math classes. “We think that these teachers are struggling with their real-time emotion regulation skills,” McLean said. “Any teacher, even a very positive one, will tell you that managing a classroom of students is challenging, and staying positive through the frustrating times takes a lot of emotional regulation. Emotion regulation is a particularly important skill for teachers because children inherently look to the social cues of adults in their immediate environment to gauge their level of safety and comfort. When a teacher is dysregulated, their students pick up on this in ways that can detract from learning.” Recommendations for supporting teacher well-being Given the findings of their study, McLean and Jones make several recommendations for teacher preparation and professional learning programs. As a first step, they recommend that teacher preparation and professional learning programs share information about how negative emotions and experiences are a normal part of the teaching experience. As McLean said, “It’s okay to be frustrated!” However, it is also important to be aware that repeated outward displays of negative emotion can impact students. McLean and Jones also suggest that these programs provide specific training to teachers on skills such as mindfulness and emotion regulation to help teachers manage negative emotions while they’re teaching. “Logically, these findings and recommendations make complete sense,” said Steve Amendum, professor and director of CEHD’s SOE, which offers a K-8 teacher education program. “After working with many, many teachers, I often see teachers' enthusiasm or dislike for a particular activity or content area transfer to their students.” McLean and Jones, however, emphasize that supporting teacher well-being can’t just be up to the teachers. Assistant principals, principals and other educational leaders should prioritize teacher wellness across the school and district. If teachers’ negative emotions in the classroom result in part from challenging working conditions or insufficient resources, educational leaders and policymakers should consider system-wide changes and supports to foster teacher well-being. To learn more about CEHD research in social and emotional development, visit its research page. To arrange an interview with McLean, connect with her directly by clicking on the contact button found on her ExpertFile profile page.

Tariffs and Trade Series - The Potential Impacts of Tariffs and Global Trade Shifts

This is the first installment in a series examining the multifaceted impacts of tariff and trade policies. By delving into the nuances of these policies, we aim to provide valuable insights and perspectives that will inform strategic business decision-making and foster resilience in an increasingly volatile global market. Future papers in this series will explore the specific implications for key sectors such as agriculture, energy, and construction, offering targeted analysis and recommendations to help businesses navigate and thrive amidst evolving trade landscapes. The global trade landscape is experiencing rapid shifts driven by escalating tariffs, geopolitical realignments, and supply chain disruptions. In North America, businesses must navigate changing US trade policies, evolving trade agreements such as the United States-Mexico-Canada Agreement (USMCA), and the broader implications of international trade tensions. These developments may have significant economic implications which impact supply chains, regulatory compliance, financial strategies, and heighten geopolitical risk. Trade policies across the world are being redefined, with tariffs increasingly used as economic and political tools. The US, China, and the European Union are at the center of these shifts, reshaping global supply chains and trade routes. Businesses must reassess their sourcing strategies, financial models, and regulatory compliance efforts in response to these evolving dynamics. In North America, the US has intensified its use of tariffs, impacting trade with Canada, Mexico, and numerous global partners. While these policies aim to boost domestic industries, they have introduced supply chain challenges and regulatory complexities. As a result, companies must proactively adapt to maintain operational efficiency and financial stability. This article examines the challenges and opportunities that may arise from these trade shifts and provides insights for businesses to mitigate risks and maintain competitiveness. At J.S. Held, we help businesses navigate these challenges by providing insights into regulatory changes, trade risks, and strategic adaptations to ensure long-term resilience. "With the sweeping April 2 tariff announcement, U.S. trade policy has entered a new phase. One where national security, economic leverage, and regulatory unpredictability intersect. Businesses are now navigating not just targeted tariffs, but a universal cost layer that may touch nearly every sector. The urgency to adapt through exemption strategies, supply chain restructuring, and trade compliance has never been greater." The full report is accessible below, and is a must read for anyone covering the impacts of the tariffs announced by President Trump on April 02, 2025. Looking to know more or connect with Andrea Korney? Simply click on the expert's icon now to arrange an interview today. For any other media inquiries - contact : Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com

Myanmar’s earthquake crisis demands international humanitarian intervention - before it’s too late

We are at a crossroads. Will the international community intervene in Myanmar to save lives, or will it once again retreat into silence until it is too late? In the shadow of disaster, silence is complicity. The devastating earthquake that recently struck Myanmar, registering a magnitude of 7.7 and claiming over a thousand lives with the potential for fatalities to rise into the tens of thousands, is far more than a natural calamity - it is a preventable humanitarian catastrophe. The international community must confront a difficult question: How many more lives must be lost before the world steps in? As someone who has studied disaster governance for over two decades, I can say with a heavy heart that what we are witnessing in Myanmar is a textbook case of systemic failure - of national crisis management, of international humanitarian coordination and, most disturbingly, of disaster diplomacy. A Crisis Exacerbated by Inaction The situation on the ground is dire. Entire villages lie in ruins across Shan State and Mandalay. Liquefaction, caused by the shifting of tectonic plates, has turned many areas into unstable wetlands, with water seeping through the ground continuously. With countless bodies left unrecovered and proper sanitation systems overwhelmed, the risk of cholera and other waterborne diseases looms large. In past disasters - be it Haiti in 2010, Nepal in 2015 or the Turkey-Syria earthquake of 2023 - we saw the tragic consequences of slow and politicised humanitarian responses. But Myanmar’s case is uniquely perilous. The country is not only facing a natural disaster but also the aftermath of years of civil conflict, military rule and geopolitical paralysis. The ruling junta’s statements and figures are unreliable at best and disinformation is hampering coordinated international support. When Aid Needs Armour The reality is that humanitarian intervention in Myanmar now requires more than blankets and bottled water - it needs boots on the ground. Given the multiplicity of armed rebel groups and the entrenched conflict dynamics, any aid convoy risks becoming a pawn in a larger power struggle. We need an international peacekeeping force, mandated strictly for humanitarian purposes, to ensure safe and unfettered access to affected populations. This must be a neutral, apolitical force, equipped to operate in a complex, high-risk environment - not to take sides, but to protect lives. Without such security guarantees, humanitarian agencies cannot function, and the crisis will evolve into famine, mass migration, and possibly regional instability across Southeast Asia. A Crisis of Leadership The United Nations, ASEAN, WHO and other key global institutions have yet again fallen short of timely action. The ineffectiveness of their response should prompt a critical reevaluation of their governance structures and crisis leadership models. The deeper issue is not just logistical - it’s moral. In the absence of strong, scientifically-informed and transparent leadership, international aid becomes another layer of dysfunction. We need a new generation of disaster governance professionals - leaders trained not only in logistics and law, but in negotiation, ethics and diplomacy. The Cost of Indifference Myanmar’s crisis will not remain confined within its borders. Already, we are seeing early signs of mass displacement towards India, Thailand and Bangladesh. If left unchecked, these flows will eventually extend to Europe, the UK and beyond, burdening an already overstretched global refugee system. The longer we delay, the greater the consequences - not just for Myanmar, but for the world. A Call for Science, Transparency and Regional Solidarity As academics and practitioners in the field of Disaster Risk Reduction (DRR), we must hold ourselves to the highest standard of integrity. DRR in regions like South and Southeast Asia must be built on inclusive science, open data, regional collaboration and local knowledge. Taiwan and Singapore offer examples of how early warning systems and data transparency can save lives - why aren't we replicating these models more widely? If this disaster teaches us anything, it is that sovereignty cannot be used as a shield for inaction. A disaster of this magnitude transcends politics. It is a test of our global conscience.

How the Black Sea ceasefire could backfire for Ukraine

Washington is touting the proposed Black Sea ceasefire between Ukraine and Russia, but there are signs that Russia could emerge from the deal with the upper hand. Hein Goemans, a political science professor at the University of Rochester whose research focuses on territorial disputes and what starts and ends wars, says the agreement “doesn’t really mean much.” “What matters is territorial divisions,” Goemans says. “I see this ceasefire deal as Russia trying to play the United States.” Goemans says the deal would be reasonable if the U.S. were willing to enforce it with sanctions if, or when, Russia reneges. “Ukraine should not believe this deal is in any way credible if the U.S. is not willing to commit to sanctions if Russia reneges, which it will,” Goemans says. He adds that the deal also favors Russia if other parts of it, like the repatriation of Ukrainian children, are not effected. “The chance that Russia would effectively help with the repatriation of Ukrainian abducted children is zero,” Goemans says. “It appears Russia has not compromised on any dimension.” Goemans recently shared similar thoughts with Newsweek, and is regularly tapped by news outlets around the world for his insights on the war in Ukraine and territorial disputes in hotspots across the globe. Reach Goemans by clicking on his profile.

Life Beyond Earth? Florida Tech's Expert's are Hoping SPHEREx Will Have The Answer

In March, SPHEREx — short for Spectro-Photometer for the History of the Universe, Epoch of Reionization and Ices Explorer — was launched to the skies and far into space. Its mission has received plentiful media coverage. A story with this much significance requires expertise that only scholars like Manasvi Lingam from the Florida Institute of Technology can provide. The space telescope is designed to [operate] with unmatched clarity, gathering a big-picture view that will help scientists tackle questions about the origin of the universe itself, the galaxies within and life's essential ingredients wafting in our home galaxy, the Milky Way. While scientists have previously detected lots of complex organic molecules in the interstellar medium and protoplanetary disks, "we still do not know a lot about the actual abundances of useful building blocks," astrobiologist Manasvi Lingam of the Florida Institute of Technology told Space.com. That means scientists don't have strong constraints about how efficiently frozen water molecules are transferred from interstellar clouds to protoplanetary disks, where they would eventually be incorporated into newborn planets, he said. "This mission can improve the data, and help make better forecasts about the probability of the origin of life on those worlds." Looking to know more about Astrobiology and the work Manasvi Lingam is doing at Florida Tech? March 01 - Space.com Looking to know more about this latest NASA mission? Let us help. Astrobiologist Manasvi Lingam, author and assistant professor of aerospace, physics and space sciences at Florida Tech, is available to speak with media regarding this and related topics. Simply click on his icon now to arrange an interview.

NASA Grant Funds Research Exploring Methods of Training Vision-Based Autonomous Systems

Conducting research at 5:30 a.m. may not be everybody’s first choice. But for Siddhartha Bhattacharyya and Ph.D. students Mohammed Abdul, Hafeez Khan and Parth Ganeriwala, it’s an essential part of the process for their latest endeavor. Bhattacharyya and his students are developing a more efficient framework for creating and evaluating image-based machine learning classification models for autonomous systems, such as those guiding cars and aircraft. That process involves creating new datasets with taxiway and runway images for vision-based autonomous aircraft. Just as humans need textbooks to fuel their learning, some machines are taught using thousands of photographs and images of the environment where their autonomous pupil will eventually operate. To help ensure their trained models can identify the correct course to take in a hyper-specific environment – with indicators such as centerline markings and side stripes on a runway at dawn – Bhattacharyya and his Ph.D. students chose a December morning to rise with the sun, board one of Florida Tech’s Piper Archer aircraft and photograph the views from above. Bhattacharyya, an associate professor of computer science and software engineering, is exploring the boundaries of operation of efficient and effective machine-learning approaches for vision-based classification in autonomous systems. In this case, these machine learning systems are trained on video or image data collected from environments including runways, taxiways or roadways. With this kind of model, it can take more than 100,000 images to help the algorithm learn and adapt to an environment. Today’s technology demands a pronounced human effort to manually label and classify each image. This can be an overwhelming process. To combat that, Bhattacharyya was awarded funding from NASA Langley Research Center to advance existing machine learning/computer vision-based systems, such as his lab’s “Advanced Line Identification and Notation Algorithm” (ALINA), by exploring automated labeling that would enable the model to learn and classify data itself – with humans intervening only as necessary. This measure would ease the overwhelming human demand, he said. ALINA is an annotation framework that Hafeez and Parth developed under Bhattacharyya’s guidance to detect and label data for algorithms, such as taxiway line markings for autonomous aircraft. Bhattacharyya will use NASA’s funding to explore transfer learning-based approaches, led by Parth, and few-shot learning (FSL) approaches, led by Hafeez. The researchers are collecting images via GoPro of runways and taxiways at airports in Melbourne and Grant-Valkaria with help from Florida Tech’s College of Aeronautics. Bhattacharyya’s students will take the data they collect from the airports and train their models to, in theory, drive an aircraft autonomously. They are working to collect diverse images of the runways – those of different angles and weather and lighting conditions – so that the model learns to identify patterns that determine the most accurate course regardless of environment or conditions. That includes the daybreak images captured on that December flight. “We went at sunrise, where there is glare on the camera. Now we need to see if it’s able to identify the lines at night because that’s when there are lights embedded on the taxiways,” Bhattacharyya said. “We want to collect diverse datasets and see what methods work, what methods fail and what else do we need to do to build that reliable software.” Transfer learning is a machine learning technique in which a model trained to do one task can generalize information and reuse it to complete another task. For example, a model trained to drive autonomous cars could transfer its intelligence to drive autonomous aircraft. This transfer helps explore generalization of knowledge. It also improves efficiency by eliminating the need for new models that complete different but related tasks. For example, a car trained to operate autonomously in California could retain generalized knowledge when learning how to drive in Florida, despite different landscapes. “This model already knows lines and lanes, and we are going to train it on certain other types of lines hoping it generalizes and keeps the previous knowledge,” Bhattacharyya explained. “That model could do both tasks, as humans do.” FSL is a technique that teaches a model to generalize information with just a few data samples instead of the massive datasets used in transfer learning. With this type of training, a model should be able to identify an environment based on just four or five images. “That would help us reduce the time and cost of data collection as well as time spent labeling the data that we typically go through for several thousands of datasets,” Bhattacharyya said. Learning when results may or may not be reliable is a key part of this research. Bhattacharyya said identifying degradation in the autonomous system’s performance will help guide the development of online monitors that can catch errors and alert human operators to take corrective action. Ultimately, he hopes that this research can help create a future where we utilize the benefits of machine learning without fear of it failing before notifying the operator, driver or user. “That’s the end goal,” Bhattacharyya said. “It motivates me to learn how the context relates to assumptions associated with these images, that helps in understanding when the autonomous system is not confident in its decision, thus sending an alert to the user. This could apply to a future generation of autonomous systems where we don’t need to fear the unknown – when the system could fail.” Siddhartha (Sid) Bhattacharyya’s primary area of research expertise/interest is in model based engineering, formal methods, machine learning engineering, and explainable AI applied to intelligent autonomous systems, cyber security, human factors, healthcare, explainable AI, and avionics. His research lab ASSIST (Assured Safety, Security, and Intent with Systematic Tactics) focuses on the research in the design of innovative formal methods to assure performance of intelligent systems, machine learning engineering to characterize intelligent systems for safety and model based engineering to analyze system behavior. Siddhartha Bhattacharyya is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.

Ku Writes ‘National Review’ Article

Maurice A. Deane Distinguished Professor of Constitutional Law Julian Ku recently penned the article “The President Can Act Unilaterally to Defend America Abroad,” for the National Review. Professor Ku argues that President Trump’s military campaign against the Houthis in Yemen has a strong legal basis under both constitutional and international law. He stated: “there are many historical examples of U.S. presidents invoking authority to defend U.S. lives and property abroad – including maritime commerce –without getting specific authorization from Congress or the United Nations.”

The Lost Girls of Autism – New book from Aston University emeritus professor Gina Rippon examines autism in women

The Lost Girls of Autism is published on 3 April 2025, coinciding with Autism Awareness Month in April In the book, Professor Rippon explores the ‘male’ history of autism, and why autism in women has been misunderstood and ignored Professor Rippon will give a free public lecture on the book at Aston University on 6 May 2025. Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University Institute of Health and Neurodevelopment (IHN), has written a new book, entitled The Lost Girls of Autism. The book will be released on 3 April 2025, coinciding with Autism Acceptance Month in April. It has the subtitle ‘How Science Failed Autistic Women and the New Research that’s Changing the Story’. Historically, doctors believed that autism was a male condition, and simply did not look for it in girls and women. This has meant that autistic girls visiting a doctor have been misdiagnosed with anxiety, depression or personality disorders, or are missed altogether. Many women only discover they have the condition when they are much older, missing decades of support. In more recent years, it has become apparent that girls and women with autism have different traits and behaviours to boys and men, and are more likely to hide autistic traits to fit in – known as camouflaging. In The Lost Girls of Autism, Professor Rippon explores the emerging science of female autism, and examines why it has been systematically ignored and misunderstood for so long. Professor Rippon will give a free public lecture about her book on Tuesday 6 May 2025 at 18:00 BST at Aston Business School. Visit https://www.eventbrite.co.uk/e/the-lost-girls-of-autism-an-audience-with-author-gina-rippon-tickets-1304020734119 for more information and tickets. Copies of the book will be on sale at the event. Professor Rippon said: “This book reveals how a ‘male spotlight’ problem has biased many aspects of the autism story, from what autism is, to how we recognise it, and even how brain imagers like me search for answers. It shows how and why autistic women have been unrecognised, overlooked and unsupported. It shines a new light on how the story is changing and how we are now beginning to recognise the full spectrum of the autistic experience. It is for anyone with an interest in autism in all its presentations.”