Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…

Students experience many difficulties learning the fundamental relationships in Newtonian mechanics, partly due to preexisting mental models that originate from their everyday lives. These preconceptions often persist even after instruction in mechanics and lead to a supposed incompatibility between physics lessons in school and personal…

Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…

Asking questions is one of the key external indicators of curiosity and a cornerstone of scientific inquiry. To understand the types of questions students ask in an introductory college science class for preservice elementary teachers, students used an online question-ranking tool (Google Moderator) as part of the daily routine. This study…

In this paper we explore the relationship between learning gains, measured through pre-assessment and post-assessment, and engagement in scientific argumentation. In order to do so, this paper examines group discourse and individual learning during the implementation of NASA Classroom of the Future's BioBLAST![R] (BB) software program in a high…

This paper reports case study research into the knowledge and understanding of chemistry for six secondary science student teachers. It combines innovative student-generated computer animations, using "ChemSense" software, with interviews to probe understanding of four common chemical processes used in the secondary school curriculum. Findings…

The authors teach upper-level science courses in cell biology, genetics, and biochemistry at a public, four-year "community university" that serves a demographically diverse population of traditional and nontraditional students. In this article, they describe some of the issues they have found to be particularly significant at their "community…

Sixty-two high-school biology students, paired heterogeneously based on prior knowledge, learned about genetic using GenScope, a computer-based learning environment (CBLE), over four 90-minute class periods. Differences between low and high prior knowledge students emerged with convergence of verbal process data and pre- and post-test product…

Pharmacology is taught on a dedicated module for nurse prescribers who have a limited physical science background. To facilitate learning a problem-based approach was adopted. However, to enhance students' knowledge of drug action a PharmaCALogy software package from the British Pharmacological Society was used. Students were alternately given a…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Reports on a research project that investigated seventh grade science students' cognitive, affective, and physical behaviors as they used the Yahooligans! search engine to find information on a specific search task. Describes measurement techniques that included software, interviews, and questionnaires, and discusses implications for user training…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…