Shannon Sung

• Doctor of Philosophy
• STEM Learning Scientist at Institute for Future Intelligence

Video analysis tools such as Tracker are used to study mechanical motion captured by photography. One can also imagine a similar tool for tracking thermal motion captured by thermography. Since its introduction to physics education, thermal imaging has been used to visualize phenomena that are invisible to the naked eye and teach a variety of physi...

Learning analytics, referring to the measurement, collection, analysis, and reporting of data about learners and their contexts in order to optimize learning and the environments in which it occurs, is proving to be a powerful approach for understanding and improving science learning. However, few studies focused on leveraging learning analytics to...

During the COVID-19 pandemic, many students lost opportunities to explore science in labs due to school closures. Remote labs provide a possible solution to mitigate this loss. However, most remote labs to date are based on a somehow centralized model in which experts design and conduct certain types of experiments in well-equipped facilities, with...

Background With the increasing popularity of distance education, how to engage students in online inquiry‐based laboratories remains challenging for science teachers. Current remote labs mostly adopt a centralized model with limited flexibility left for teachers' just‐in‐time instruction based on students' real‐time science practices. Objectives T...

Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science education...

Augmented reality (AR) has the potential to fundamentally transform science education by making learning of abstract science ideas tangible and engaging. However, little is known about how students interacted with AR technologies and how these interactions may affect learning performance in science laboratories. This study examined high school stud...

Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science education...

In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted t...

This study examined whether different identity revelation conditions result in different online targeting behavior among peer-assessors through a pretest and posttest quasi-experimental research design. Students from six fifth-grade classes (N = 196) participated in online learning tasks where they generated and selected peer-generated questions to...

This study describes the impact of embedding dynamic computer visualization (DCV) in an online instrument that was designed to assess students’ understanding of osmosis. The randomized posttest-only control group research was designed to compare the effect and the perceived helpfulness of the integration of DCV before and after the administration o...

Flipped learning has come to the forefront in education. It maximizes learning by moving content delivery online, where learning can be self-paced, allowing for class time to focus on student-centered active learning. This five-year cross-sectional study assessed student performance in a college general chemistry for majors sequence taught by a sin...

Students need to think and work across disciplinary boundaries in the 21st century. However, it is unclear what interdisciplinary thinking means and how to analyze interdisciplinary interactions in teamwork. In this paper, drawing from multiple theoretical perspectives and empirical analysis of discourse contents, we formulate a theoretical framewo...

This study examined the effects of identity revelation and concealment on the number of times students' work was assessed in an online peer assessment context. It also examined the underlying reasons guiding the assessor's targeting behavior. Two fifth-grade classes participated. The one-group pretest-posttest experimental research design coupled w...

We examined the definitions of osmotic pressure (P osm) in different well-circulated college science textbooks. Motivated by the discussion of a team of disciplinary experts from several disciplines, we examined 20 textbooks in biology, chemistry, physics, animal/ plant physiology, biochemistry, and physical biochemistry. The analysis shows that th...

College science education needs to foster students' habit of mind beyond disciplinary constraints. However, little research has been devoted to assessing students' interdisciplinary understanding. To address this problem, we formed a team of experts from different disciplines to develop interdisciplinary assessments that target introductory college...