Preparing the new generation to be data-literate citizens is a pressing challenge, and some explorations have been made to cultivate K-12 students' data science skills and attitudes. However, there is a lack of instructional models to guide the design of data science programs in K-12 due to its complex and interdisciplinary nature as well as the…

Technology-based, open-ended learning environments (OELEs) can capture detailed information of students' interactions as they work through a task or solve a problem embedded in the environment. This information, in the form of log data, has the potential to provide important insights about the practices adopted by students for scientific inquiry…

Problem-based learning (PBL) is an acclaimed educational concept for laboratory teaching in chemistry, which significantly affects learner motivation. A central aim of PBL is to overcome educational problems with "cook-book" laboratories. For example, when students receive experimental instructions and apply the instructions similar to…

This study aims to reveal the effectiveness of the problem-based learning (PBL) model in teaching the concepts of heat, temperature and pressure, as well as the effect of the activities on the development of scientific process skills. For this purpose, the change in the academic achievement levels of the students constituting the sampling group…

This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do…

We present a framework designed to help categorize various sense making moves, allowing for greater specificity in describing and understanding student reasoning and also in the development of curriculum to support this reasoning. The framework disaggregates between the mechanisms of student reasoning (the cognitive "tool" that they are…

Problem-solving strategies learned by physics undergraduates should prepare them for real-world contexts as they transition from students to professionals. Yet, graduate students in physics-intensive research face problems that go beyond problem sets they experienced as undergraduates and are solved by different strategies than are typically…

Group Science Learning (GSL) is collaborative problem solving based learning by design to improve collaborative problem solving skills, science process skills, and self-confidence of primary schools teacher candidates. This research aims to analyze the effectiveness of GSL model to improve collaborative problem solving skills and self-confidence…

America's most popular science curriculum, the Next Generation Science Standards (NGSS), fails students. This report details how the popular curriculum omits basic tenets of science, including the scientific method, and provides recommendations to correct deficiencies in the NGSS.

This Research & Development (R & D) aims to develop and produce a qualified Group Science Learning (GSL) model. The main product is the GSL model that has the following syntax: (1) Motivation and problem orientation based on Internet of things, (2) Collaborative problem-solving activities, (3) Presenting, (4) Nonroutine problem-solving,…

Geometry subject that prosecute students to comprehend abstracts things is one of the causes of students' difficulties in mathematics learning. This study aims to determine the effect of Problem Posing and Problem Solving learning models with the Scientific Approach to students' adaptive reasoning on plane figure materials. It was conducted at the…

One of the central goals of modern science and chemistry education is to develop students' abilities to understand complex phenomena, and productively engage in explanation, justification, and argumentation. To accomplish this goal, we should better characterise the types of reasoning that we expect students to master in the different scientific…

Engaging students in problem-solving concerning environmental issues in near-surface complex Earth systems involves developing student conceptualization of the Earth as a system and applying that scientific knowledge to the problems using practices that model those used by professionals. In this article, we review geoscience education research…

Makerspaces provide a viable option for constructing and sharing knowledge in schools. Inherent in the designing, tinkering, and playing that learners engage in through making are competencies, such as the ability to create, problem solve, and innovate, decreed as critical by education policymakers. This paper summarizes results from a study in a…

Computational thinking (CT) parallels the core practices of science, technology, engineering, and mathematics (STEM) education and is believed to effectively support students' learning of science and math concepts. However, despite the synergies between CT and STEM education, integrating the two to support synergistic learning remains an important…