Hee-Sun Lee

• Professor (Full) at Hanyang University

As global temperatures rise, the risks associated with natural hazards from extreme weather events such as hurricanes are increasing. Also known as typhoons or tropical cyclones in other regions, hurricanes are natural phenomena that bring strong winds, heavy precipitation, and storm surges, often causing devastating impacts on coastal communities...

In order to characterize students’ risk assessment explanations based on the Geohazard Risk Framework, which describes four key elements of risk for high school science education, we investigate whether student explanations include the following risk elements: scientific factors, impacts, human influences, and likelihood. This study uses the Geohaz...

From the experiential learning perspective, this study investigates middle and high school students (n = 1009) who used an online module to learn about wildfire hazards, risks, and impacts through computational simulations of wildfire phenomena. These students were taught by 18 teachers in urban, rural, and suburban schools across the United States...

The keynote of this structured poster session is to examine the current state of artificial intelligence (AI)-based formative assessment tools and identify future directions for research and practice to support STEM education. This structured poster session assembled ten cutting-edge research reports conducted at twelve institutions across the glob...

As computational methods are widely used in science disciplines, integrating computational thinking (CT) into classroom materials can create authentic science learning experiences for students. In this study, we classroom-tested a CT-integrated geoscience curriculum module designed for secondary students. The module consisted of three inquiry inves...

This study addresses the measurement of high school students' epistemic knowledge associated with scientific experimentation (EKSE) which concerns how scientific experimentation generates knowledge and why that knowledge is justified. Based on philosophical, educational standards, and literature analyses, an EKSE construct is characterized as (1) u...

Computation has become an essential part of today’s personal, educational, civic, and career living, which necessitates preparation of a generation of future citizens who are knowledgeable of computational thinking (CT) concepts and are able to apply CT skills in daily life and work. Because of CT’s use across fields, it is important that we take a...

Learning to teach is a culturally situated activity. As teachers learn, it is important to understand not only what teachers learn, but how they learn. This article describes a qualitative case study of a subset of four teachers’ learning during a professional development surrounding a plate tectonics curriculum. Using qualitative methods, this stu...

Understanding Earth's tectonic plate system dynamics is complicated though it is the central paradigm to explain transformations of Earth's surface. The landforms and geodynamic events resulting from plates interacting are too massive to observe at scales of human experience. It is difficult for students to connect plate movements to geologic featu...

This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those claims....

A design study was conducted to test a machine learning (ML)-enabled automated feedback system developed to support students’ revision of scientific arguments using data from published sources and simulations. This paper focuses on three simulation-based scientific argumentation tasks called Trap, Aquifer, and Supply. These tasks were part of an on...

This article represents the findings from the qualitative portion of a mixed methods study that investigated the impact of middle school students’ spatial skills on their plate tectonics learning while using a computer visualization. Higher spatial skills have been linked to higher STEM achievement, while use of computer visualizations has mixed re...

This edited volume unveils diverse issues and factors related to health disparities in contemporary Korean Society. It illustrates how economic and social changes unequally impact different subpopulations, including employees, the elderly, children, and immigrants and describes why health policy and intervention is needed now.

Application of new automated scoring technologies, such as natural language processing and machine learning, makes it possible to provide automated feedback on students' short written responses. Even though many studies investigated the automated feedback in the computer-mediated learning environments, most of them focused on the multiple-choice it...

Incorporating scientific uncertainty as part of science teaching means acknowledging that there may be incomplete or potentially limited scientific information when scientists draw conclusions. In the geosciences, scientists routinely make inferences about the Earth based on observations of the present, and test those observations against hypothese...

Science classes should support students' development of scientific argumentation. While previous studies have analyzed argumentative texts, they have overlooked the ways in which other types of representations, including images, affect the production of such texts. In addition, studies into the use of visual images in science education have offered...

This paper describes HASbot, an automated text scoring and real‐time feedback system designed to support student revision of scientific arguments. Students submit open‐ended text responses to explain how their data support claims and how the limitations of their data affect the uncertainty of their explanations. HASbot automatically scores these te...

Scientific argumentation is an epistemic practice where scientific theories are proposed, refined, and refuted, and also a language-based practice where evidence is provided in support of claims. This chapter explores how techniques of computerized image processing can help researchers to identify relationships between features of images and the qu...

Reasoning about causal mechanisms is central to scientific inquiry. In science education, it is important for teachers and researchers to detect students’ mechanistic explanations as evidence of their learning. In this paper, we introduce a semi-automated method which combines association rule mining and human rater’s insights to identify students’...

Reasoning about causal mechanisms is central to scientific inquiry. In science education, it is important for teachers and researchers to detect students’ mechanistic explanations as evidence of their learning, especially related to causal mechanisms. In this paper, we introduce a semiautomated method that combines association rule mining with huma...

Science centers such as museums and planetariums have used stereoscopic (“three-dimensional”) films to draw interest from and educate their visitors for decades. Despite the fact that most adults who are finished with their formal education get their science knowledge from such free-choice learning settings very little is known about the effect of...

Stereoscopys potential as a tool for science education has been largely eclipsed by its popularity as an entertainment platform and marketing gimmick. Dozens of empirical papers have been published in the last decade about the impact of stereoscopy on learning. As a result, a corpus of research now points to a coherent message about how, when, and...

The Bayesian Knowledge Tracing (BKT) model is a popular model used for tracking student progress in learning systems such as an intelligent tutoring system. However, the model is not free of problems. Well-recognized problems include the identifiability problem and the empirical degeneracy problem. Unfortunately, these problems are still poorly und...

An interactive learning task was designed in a game format to help high school students acquire knowledge about a simple mechanical system involving a car moving on a ramp. This ramp game consisted of five challenges that addressed individual knowledge components with increasing difficulty. In order to investigate patterns of knowledge emergence du...

Modeling and argumentation are two important scientific practices students need to develop throughout school years. In this paper, we investigated how middle and high school students (N = 512) construct a scientific argument based on evidence from computational models with which they simulated climate change. We designed scientific argumentation ta...

Background Research has seldom considered social capital at the individual, household and administrative area level simultaneously and examined its association with mental health. Aim The main purpose of this study was to examine the association between social capital and mental health while controlling for various confounders at multiple levels u...

The purpose of this study is 2-fold: (1) to examine how much variance of depression is attributed to the household level and (2) to examine the relationships between individual- and household-level social capital and depression using multilevel analysis from the Korean Welfare Panel Study data. show that more than 30% of variance in depression is d...

Background: No previous study could be found that examined the longitudinal association between suicidal ideation and the factors associated with it and that considered both individual and contextual characteristics simultaneously. This study examined whether variation in suicidal ideation is attributable to the administrative-area level and exami...

Although studies on the association between social capital and subjective well-being have been recently increasing many issues still remain unsolved. The purpose of this study is to investigate the association between various social capital dimensions both at the individual (political participation, network source, trust, and organizational partici...

The purpose of this study is to examine the association between social capital and subjective well-being (life satisfaction) by using multilevel analysis considering both individual and area-level social capital while adjusting for various control variables at multiple-levels in Seoul, South Korea. The data was from the 2010 (Wave 2) Seoul Welfare...

This study aims to resolve two limitations of previous studies. First, as only a few studies examining social capital have been conducted in non-western countries, it is inconclusive that the concept, which has been developed in Western societies, applies similarly to an Asian context. Second, this study considers social capital at the individual-l...

The aim of this study is to examine the relationships between social capital and health/well-being in Seoul, South Korea. The data was collected from June 2009 to September 2009. The full sample includes 811 respondents, from all 25 districts in Seoul. Social capital was measured by adopting a structural and cognitive dimension. Structural social c...