This research aims to understand (1) the diversity of supported technology in STEM-based science education, (2) the application of supported technology in STEM-based science education, and (3) the advantages and disadvantages of supported technology in STEM-based science education. Supported technology refers to the tools and media used in…

A new undergraduate thin-layer chromatography laboratory experiment devoted to quantitative determination of disulfiram in Anticol formulation is presented. The proposed activity can be a part of a chromatographic methods of analysis course as well as a general chemistry course. To carry out a quantitative analysis, an image analysis technique was…

Contribution: An innovative approach utilizing interactive software paired with stereoscopic projection hardware is introduced to enhance the teaching and learning of solid-state physics. This method is distinctive for its integration of complex 3-D visualizations directly into classroom instruction, facilitating a deeper understanding of abstract…

In instructional settings, evolution and natural selection are challenging concepts to teach, due to the fact that these topics are difficult to observe in the laboratory or lecture hall. In the past few years, Avida-ED has emerged as an innovative tool for teaching evolutionary principles. It allows students to directly observe effects of…

Augmented reality (AR) filters are digital interactions applied to users' faces or environment to add to or change what they are seeing in the real world. By using free software, it is possible to easily make many AR filters for learning chemistry. Here I show how to make AR filters of molecular models and post them on social media in just two…

The eChem project features an e-book published as a web page (10.30746/978-91-988114-0-7), collecting a repository of Jupyter notebooks developed for the dual purpose of explaining and exploring the theory underlying computational chemistry in a highly interactive manner as well as providing a tutorial-based presentation of the complex workflows…

Organic reaction trajectories show atomic motion and molecular reorganization of reactants during a single product-forming collision. iORA is a free (available from the Apple App Store), easy to use, highly interactive iPhone application that provides on-the-fly 3Drendering of organic reaction trajectories calculated with density functional theory…

The problem behind our research that was investigated was the evaluation of an artificial intelligence in education tool, namely ASSISTments by seventy one science and technology students in a small city. The objective was to find to what extent the students assimilate this tool. The data collection and instrumentation were done by the tool…

3D printers have facilitated a wealth of 3D printed molecular models illustrating key structural concepts for student learning. However, general adoption of 3D printed models in the organic chemistry classroom proceeds slowly as the majority of consumer-grade 3D (fused deposition modeling (FDM) and resin) printers are inherently monochromatic,…

Given the growing prevalence of computational methods in chemistry, it is essential that undergraduate curricula introduce students to these approaches. One such area is the application of machine learning (ML) techniques to chemistry. Here we describe a new activity that applies ML regression analysis to the common physical chemistry laboratory…

Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone…

High-quality science assessments are multi-dimensional. They promote disciplinary practices, core ideas, cross-cutting concepts, and science sense-making. In this paper, we investigate the feasibility of using generative artificial intelligence (GenAI), specifically multimodal large language models (MLLMs), to annotate and provide improvement…

Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…

This paper consists of a systematic review of the literature on ChatGPT's application in science education, drawing from studies conducted between January and September 2023, examining the current landscape, challenges, and implications of integrating ChatGPT into science classrooms. Analysis revealed a predominant emphasis on physics and…

The present study contributes to the understanding of physics students' representational competence by examining specific bodily practices (e.g. gestures, enactment) of students' interaction and constructions of representations in relation to a digital learning environment. We present and analyse video data of upper-secondary school students'…