3D holograms are an effective tool for visualization, and their utilization in chemistry teaching can be beneficial in improving learning outcomes. However, studies on students' opinions about holograms in chemistry teaching and learning are scarce. The research aimed to examine the views of chemistry students on the application of 3D holograms in…

The damped harmonic oscillator physics problem is a standard oscillation problem in calculus physics for pre-engineering students in a community college. The use of alternative linear algebra eigenvalue stability method is consistent with the upper engineering courses using control theory. The external force and friction damping would become the…

The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…

Many modern anatomy curricula teach histology using virtual microscopes, where students inspect tissue slices in a computer program (e.g. a web browser). However, the educational data mining (EDM) potential of these virtual microscopes remains under-utilized. In this paper, we use EDM techniques to investigate three research questions on a virtual…

This paper describes the development of a mobile application to engage students in active learning in analytical chemistry. Colorimetry is a topic in analytical chemistry that can effectively be learned through the use of mobile devices to perform colorimetric measurement in the real-life environment. Previous attempts in the development of…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

The essence of Genetics lies in the understanding of the concepts of Central Dogma of Molecular Biology. Although these ideas are fundamental to the field, they are notoriously difficult to understand and visualize. While simulation-based instructional materials are found to improve the teaching-learning process in science education, little has…

This paper explores a general approach to paraphrase generation using a pre-trained seq2seq model fine-tuned using a back-translated anatomy and physiology textbook. Human ratings indicate that the paraphrase model generally preserved meaning and grammaticality/fluency: 70% of meaning ratings were above 75, and 40% of paraphrases were considered…

Pandemic has changed the way education has taken place in Brazil, which has occurred remotely. The classes have been taught in the public network especially through lives or WhatsApp. In this paper, the way in which the training activities of the supervised internship and the Pedagogical Residency in the teaching of Physics in schools took place…

The tendency in urban schools is that teachers hold incomplete understandings about their students (by virtue of difference in cultural, race, language, and social class) is a lingering challenge since "Brown v. Board of Education" desegregated students in schools while also casting out large numbers of Black educators (Walker, 2013).…

Fluid Mechanics is one of the most complex branches of science to learn. Traditionally, it has been taught from a positivism point of view. However, the latest technologies have led to the creation of new educational tools based on a constructivism approach as a complement to conventional teaching. This paper addresses the development of a course…

In this paper, we investigate the relationship between students' learning gains and their compliance with prompts fostering self-regulated learning (SRL) during interaction with MetaTutor, a hypermedia-based intelligent tutoring systems (ITS). When possible, we evaluate compliance from student explicit answers on whether they want to follow the…

To succeed in STEM, students need to learn to use visual representations. Most prior research has focused on conceptual knowledge about visual representations that is acquired via verbally mediated forms of learning. However, students also need perceptual fluency: the ability to rapidly and effortlessly translate among representations. Perceptual…

Previously a framework for integrating web resources providing educational services in dotLRN was presented. The present paper describes the application of this framework in a rural school in Cauca--Colombia. The case study includes two web resources about the topic of waves (physics) which is oriented in secondary education. Web classes and…

Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…