Distinguished McKnight University Professor and Guy Bond Chair in Reading, Department of Educational Psychology
Pani develops and examines the efficacy of educational technologies to facilitate learning and assessment of processes and outcomes at scale. She is also exploring new approaches to reducing the impact of misinformation and developing digital media literacy.
Assistant Professor, Department of Educational Psychology
Caitlin’s research is at the intersection of cognitive psychology, computer science, and education. She is particularly interested in the antecedents and consequences of mind wandering, boredom, and engagement. Other interests include investigating affective states and task-unrelated thought in educational contexts, such as during complex learning from educational technologies.
Lecturer, Department of Educational Psychology, LIL Affiliate Faculty
Jeff (he/him) blends cognitive and learning science approaches to understanding how people learn and think about math, science, and programming. He is particularly interested in student learning of algebra and statistics, and helping students to connect their intuitive thinking to abstract concepts.
LIL Postdoctoral Associate
Marianna is interested in exploring the underlying mechanisms of constructing mental representations when reading and learning from texts and comics, by combining techniques from cognitive and educational psychology with technology and the arts.
Assistant Professor and Bonnie Westby Huebner Chair, Department of Educational Psychology
Laura leverages theories and methodologies from cognitive science, learning science, linguistics, and education to examine the ways in which individuals learn and communicate through text and discourse. She is particularly interested in the use of computational linguistics approaches to glean theoretical insights into students’ learning processes as well as to develop and refine adaptive educational technologies.
Department of Educational Psychology
David studies how moments of failure, playful experiences, embodied cognition, and epistemic cognition shape learning in computer science, family play outdoors, video games, and other STEM domains. Through research-practice partnerships, his research examines cognitive and psychological processes within the context of social interaction, and often takes place within technology-rich settings.
Department of Organizational Leadership, Policy, and Development
Meixi (she/they) designs learning at the edges of school, families, and lands towards Indigenous futures across Thailand, México and most recently Mní Sota Makoce. Meixi studies how land-based stories, Indigneous mobilities, and original and digital technologies can support human learning, becoming, and collective wellbeing alongside the rest of the living world.
Assistant Professor, Department of Family Social Science
Xiaoran is interested in how the integration of different data types and methodological advances can further our understanding of family systems and adolescent development situated in larger social ecologies—including sociocultural and digital contexts. Specifically, she uses high-intensity smartphone data to study how digital technology may impact family dynamics and adolescent development, and leverages machine learning methods to make long-term predictions of adolescents’ future achievement outcomes based on their early experiences.
Keisha Varma’s current research projects focus on how to improve access to high quality STEM experiences and how to provide equitable STEM learning experiences. In her work, she is exploring the ways that innovative approaches within the field of learning analytics can advance our knowledge of disparities in STEM education experiences and improve the ways that we address persistent inequities.
Assistant Professor, Department of Computer Science and Engineering
DK develops human-centric language technologies. He also leads the Minnesota Natural Language Processing (NLP) group which develops interdisciplinary methods for NLP models based on theories in linguistics and cognitive/social sciences and builds interactive NLP systems for scientists, creative writers, and language learners.
Joseph’s research addresses human-computer interaction issues, including personalizing the learning experience, on-line community information systems, computer systems to improve health, and ethics of online research.
Teaching Associate Professor, Department of Educational Psychology
Andy designs curricular materials to engage teachers and students in the content of and data science. He also studies how students and teachers engage with these materials in order to better understand how to support the learning process.
Craig’s research focuses on the cognitive influences of video game play. Craig’s dissertation explored how players of a notoriously challenging video game, Cuphead, conceptualize and react to failure. Currently, he works on the Playful Problem Solving Project, investigating how young players solve problems in the puzzle game Baba is You.
Lingfei Luan’s research interests lie in the perception and cognition of audio-visual information; her work has had a significant impact on film studies, audience behavior, and educational technology. She incorporates AI into her research, focusing on applications in medical care and using machine learning to predict viewer preferences. Her innovative methods have led to collaborations with industry leaders such as Hollywood cinematographer Thomas Ackerman. Recognized as one of the ‘Thirty Mentors of Women in STEM’ by the United Nations’ ITU in 2022.
Aaron’s research focuses on understanding how metacomprehension and mind wandering affect comprehension using a variety of techniques including eye movement monitoring, memory tests, and computational modeling. He is also interested in how metacognition affects learning in other areas besides comprehension, such as mathematics and skill
Nabil’s research focuses on how human-computer interaction can improve the future of work, especially in future automated vehicles. He is interested in how automotive interfaces can help drivers perform different activities in a car and allow them to safely take over driving when needed.
Mengchen is interested in quantitative methods and applied machine learning for school improvement and whole child development in K-12 education, focusing on educational equity and diversity. Her current research evaluates the integration of school climate and social-emotional data into a K-12 dropout early warning system to support students’ perseverance and growth.
Sam’s research interests are centered around middle school science education, culturally responsive teaching, learning by argumentation, and discourse-centric learning analytics.
Zack’s research focuses on how moments of failure influence learning and how educators can leverage these moments to be productive for learning. To this end, his current work has focused on using multi-modal —including eye tracking, log, and talk-aloud—data to enrich our understanding of problem-solving processes in the challenging video game Baba is You.
Chen’s research interests include computer-assisted language learning (CALL) and Virtual Reality-assisted (language) learning.
Lauren’s research primarily focuses on the dynamics of discourse. Specifically, she’s interested in the interacting components involved in dynamic systems over time such as the individual, social, and environmental factors that may impact peoples’ perception and/or comprehension of discourse (e.g., across conversations, books, student essays).
Ali is interested in improving science literacy in higher education. Currently, her research examines the influence of sourcing instructions and in-text citations for multi-text comprehension.
Megan is interested in the intersection of informal education design and learners’ unfolding experiences. Her research primarily focuses on learning in museum spaces, particularly makerspaces and exhibitions with minimal or no educator facilitation.
Rina is interested in how students learn and revise beliefs, and in particular the roles of source and explanation in these processes.
As a science teacher and researcher, Ryan has taken a special interest in research surrounding playful learning and productive failure. He aims to identify and embody teaching and learning practices that result in heightened motivation and promote meaningful learning that can apply directly to the classroom
Ashley is interested in using data to better understand how social and emotional processes shape how we think (particularly during moments of challenge) in naturalistic learning contexts. Her current line of research examines how teachers and parents help children collaboratively interpret and navigate their emotions. She wants to use this knowledge, in partnership with practitioners, to promote student engagement, resilience, and well-being.
Basel’s research interests are in personalized learning and human-AI partnership. His current work focuses on using computational methods to investigate and support goal-based learning, problem-solving, and information-seeking behavior.
Victoria is interested in investigating the contexts of knowledge revision and the reduction of misinformation. She also studies effective science communication, with a focus on how perceptions of source credibility drive views of science and scientific information.
Yewon is interested in the cognitive processes involved in learning and individual differences in learning and memory. Her research also examines how people interact with information on social media.
Jasmine is interested in how people comprehend and learn from texts, individually and in groups. Her research also focuses on how texts can be used to facilitate knowledge revision and transfer of knowledge.
Vishal studies detection of disengagement during learning using modalities such as eye tracking and keystroke log data. He also studies thought dynamics.
Püren’s research examines how individuals differ in their phenomenological experiences, particularly during reading. Specifically, her current work focuses on understanding how variations in language relate to fluctuations in visual imagery and inner-speech. Her research leverages methodological techniques from a broad range of disciplines, including cognitive psychology, linguistics, and computer science/natural language processing.
Cati’s research focuses on the phenomenology of spontaneous thoughts. She is particularly interested in identifying the phenomenological dimensions that may distinguish various forms of spontaneous thought, such as the extent of surprise and relationships to affective states.
Hong’s research interests lie in the online collaborative learning and the alignment between learning design and learning analytics. Her current research focuses on the design/development of scaffolding tools to facilitate social annotation activities.
Mya is interested in anhedonic behavior and Reward Devaluation Theory. Her current research focuses on developing methods to evaluate reward devaluation in classroom settings.
PhD Student, Department of Family Social Science
Ting is interested in how technology impacts parent-child relationship and children’s development. Ting’s current research focuses on phone addiction of adolescents and how media affects adolescents during COVID-19.
Jesslyn’s research interests include the investigation of scientific reasoning skills, spatial reasoning skills, and problem solving processes. Her research examines ways in which these processes develop through engagement in play-based activities.