contextualizes statistical concepts and tests within current, or recently published, research. Often, novice statistics students have difficulty applying the course concepts beyond the classroom. This publication bridges that gap between classroom and both statistical application and research consumption, both of which are central for the social sciences.
The manual meaningfully and purposefully integrates and highlight diversity research. The chosen examples highlight research questions that relate to various topics of diversity (e.g., age, race, gender, income, sexual orientation, national culture, religion). While this might seem like capitalization of current “hot-topic” issues that are on the minds many students, this is not a passing phase in Psychology. All the members of this collaborative project include a focus on diversity in their teaching and research. Further, diversity and inclusion are central components of the mission of the American Psychological Association.
The primary innovation of this text is a new perspective on teaching the theory of integration. Most introductory analysis courses focus initially on the Riemann integral, with other definitions discussed later (if at all). The paradigm being proposed is that the Riemann integral and the “generalized Riemann integral” should be considered simultaneously, not separately – in the same manner as uniform continuity and continuity. Riemann integrability is simply a special case of integrability, with particular properties that are worth noting. This point of view has implications for the treatment of other topics, particularly continuity and differentiability.
Differential Calculus: From Practice to Theory covers all of the topics in a typical first course in differential calculus. Initially it focuses on using calculus as a problem solving tool (in conjunction with analytic geometry and trigonometry) by exploiting an informal understanding of differentials (infinitesimals).
These resources were created to compliment our undergraduate statistics lab manual, Applied Data Analysis in Psychology: Exploring Diversity with Statistics, published by Kendall Hunt publishing company. Like our lab manual, these JASP walk-through guides meaningfully and purposefully integrate and highlight diversity research to teach students how to analyze data in an open-source statistical program. The data sets utilized in these guides are from open-access databases (e.g., Pew Research Center, PLoS One, ICPSR, and more).
All of the OER materials that Dirk has created are provided as Jupyter notebooks, which are open-source tools that integrate multiple resources (websites, word processors, LaTeX, math, and programming) into a digital notebook. The OER were developed specifically for students and instructors working in a flipped classroom model. This means that hands-on problem-solving activities are done during class meetings, with students watching lectures and completing readings and assignments outside of the class. You will find a link to Dirk’s website as a button in the Pressbooks page. And like what Dirk mentioned in his website, if you are an educator and want to adopt his OER along with other instructor resources, please feel free contact him at email@example.com.
MyOpenMath is designed for mathematics, providing delivery of homework, quizzes, and tests with rich mathematical content. Students can receive immediate feedback on algorithmically generated questions with numerical or algebraic expression answers.
Simulations that may be able to substitute for some lab work. Allows for searching on undergraduate, undergraduate advanced, and graduate level simulations.
Biology, Chemistry, Earth Science, Mathematics, Physics
WeBWorK is an open-source online homework system for math and sciences courses. WeBWorK is supported by the MAA and the NSF and comes with a National Problem Library (NPL) of over 20,000 homework problems.