This systematic review examines the empirical research conducted in the past decade to investigate the application of immersive Virtual Reality (IVR) in geography higher education. Our analysis includes 29 empirical studies published across 25 peer-reviewed articles and delves into IVR applications from four key perspectives: the temporal and…

In this article we find the thermodynamics of some large N particles systems and some small N particles classical systems using micro canonical ensemble. Small N particle systems are seldom done in textbooks, since statistical mechanics(SM) systems work for large N systems. We show that small N systems will help the students to get an insight…

This paper focuses on the actions of learners on digital and analogue materials while dealing with a statistical problem. To investigate the learners' actions, a semiotic perspective of mathematical learning according to C. S. Peirce is used, since in this perspective learning mathematics is described as visible activities on diagrams. Through a…

Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…

The advent of Information Communications Technology has revolutionized ESL writing instruction. This quasi-experiment investigated the correlations of self-perception in reading, self-perception in writing, reading performance and writing performance of two groups of freshman college students representing two learning conditions -- the…

Quantitative reasoning, although included in most science courses, can be challenging to teach. In this article, we explore whether cooperative learning may help instructors teach quantitative reasoning and enhance students' understanding and learning experience. Our lesson was taught in a large introductory geoscience course. The lesson required…

There is a growing need for chemistry students to be able to handle and manipulate large datasets and analyze them in an efficient and accessible way. This creates the need to develop course materials that introduce these topics early in the undergraduate curriculum. To address this growing need, this activity introduced RStudio to students…

Numerous variants of Kahneman and Tversky's (1972) hospital problem have been used to investigate intuitions about the Empirical Law of Large Numbers (eLLN). A largely separate line of research has focused on interactions between context knowledge and statistical reasoning. The present study merges these two lines of research by analyzing tertiary…

The effectiveness of computer-assisted instruction in language learning has been the topic of a long-standing debate. Prompted by this debate, we attempted to provide an updated meta-analysis on the learning effect of computer-assisted English language instruction on a broad range of study features. This meta-analysis of the experimental…

This is the fifth in a series of statistical articles for mathematics teachers. In this article the authors discuss graphs for exploring relationships between one categorical variable and one numerical variable using stemplots and boxplots and between two numerical variables, using scatterplots and time series plots. [For "The Data Files 4:…

This paper describes a course designed to introduce students to mathematical thinking and a variety of lower level mathematics topics using baseball while satisfying the goals of quantitative reasoning. We give suggestions for sources, topics, techniques, and examples so any mathematics teacher can design such a course to fit their needs. The…

Students encounter difficulties when entering into the fog of historical analysis, a place where evidence rarely lines up neatly and contradictions abound. Too often, novices conveniently ignore any sort of counterevidence that could muddy a clean explanation, thus reverting to safe truisms that sidestep key problems. Meanwhile, professional…

In an effort to advance the middle school movement, this paper examines the research trends from three organizations that support middle grades educational innovation, assessment, and research: The Carnegie Corporation of New York, the Educational Testing Service, and the Institute of Education Sciences. Using an instrumental, multiple case study…

In this paper, we present the results of a study indicating that groups predominantly underrepresented in mathematics prefer to have a choice of instructional method. We use the concept of differentiated instruction to explain how different groups of students might perform better using various instructional techniques. Our study, which is based on…

Learning curves are an important tool in cognitive diagnostics modeling to help assess how well students acquire new skills, and to refine and improve knowledge component models. Learning curves are typically obtained from a model estimated on real data obtained from a finite, and usually limited, sample of students. As a consequence, there is…