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Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Anupam, Aditya; Gupta, Ridhima; Naeemi, Azad; JafariNaimi, Nassim – IEEE Transactions on Education, 2018
Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…
Descriptors: Quantum Mechanics, Experiential Learning, Introductory Courses, Educational Games
Dunlap, Mickey; Studstill, Sharyn – Teaching Statistics: An International Journal for Teachers, 2014
The number of increases a particular stock makes over a fixed period follows a Poisson distribution. This article discusses using this easily-found data as an opportunity to let students become involved in the data collection and analysis process.
Descriptors: Experiential Learning, Learning Activities, Statistical Distributions, Probability
Wulff, Shaun S.; Robinson, Timothy J. – Journal of Statistics Education, 2014
Bayesian methodology continues to be widely used in statistical applications. As a result, it is increasingly important to introduce students to Bayesian thinking at early stages in their mathematics and statistics education. While many students in upper level probability courses can recite the differences in the Frequentist and Bayesian…
Descriptors: Bayesian Statistics, Probability, College Mathematics, Mathematics Instruction
Lowrie, Tom; Patahuddin, Sitti Maesuri – Indonesian Mathematical Society Journal on Mathematics Education, 2015
This paper offers a framework for a mathematics lesson design that is consistent with the way we learn about, and discover, most things in life. In addition, the framework provides a structure for identifying how mathematical concepts and understanding are acquired and developed. This framework is called ELPSA and represents five learning…
Descriptors: Mathematics Instruction, Teaching Methods, Lesson Plans, Planning
Okada, Masaya; Tada, Masahiro – Journal of Educational Multimedia and Hypermedia, 2014
Real-world learning is important because it encourages learners to obtain knowledge through various experiences. To design effective real-world learning, it is necessary to analyze the diverse learning activities that occur in real-world learning and to develop effective strategies for learning support. By inventing the technologies of multimodal…
Descriptors: Experiential Learning, Learning Activities, Technology Uses in Education, Behavior
Haddad, Hamilton; Baldo, Marcus Vinicius Chrysostomo – Advances in Physiology Education, 2010
In this article, the authors describe an inexpensive and simple way to make students intuitively experience the probabilistic nature and nonorientated motion of diffusing particles. This understanding allows students to realize why diffusion works so well over short distances and becomes increasingly and rapidly less effective as the distances…
Descriptors: Motion, Teaching Methods, Probability, Experiential Learning
Turner, Philip M. – Change: The Magazine of Higher Learning, 2009
This article describes a course redesign project at the University of North Texas that is in the fifth year of a planned nine-year effort. The goals of the Next Generation Course Redesign (NGen) Project include practicing "never-ending course redesign," affecting teaching and learning at all levels of the institution and beyond, and…
Descriptors: Online Courses, Experiential Learning, Probability, Cognitive Development
Kuntzleman, Thomas S.; Swanson, Matthew S.; Sayers, Deborah K. – Journal of Chemical Education, 2007
An exercise is presented in which the kinetics of the irreversible "reaction" of pennies in the heads-up state to pennies in the tails-up state is simulated by a hands-on, Monte Carlo approach. In addition, the exercise incorporates a second simulation in which the irreversible "reaction" of dice with a red face uppermost to a blue face uppermost…
Descriptors: Monte Carlo Methods, Kinetics, Probability, Item Response Theory
Christy, Donna; Lambe, Karen; Payson, Christine; Carnevale, Patricia; Scarpelli, Debra – Teaching Children Mathematics, 2008
A whimsical mathematics event for children and adults, derived from Lewis Carroll's Alice's Adventures in Wonderland, was held at the Providence Children's Museum in Rhode Island. NCTM's Standards were the basis of all the activities. (Contains 10 figures and 1 table.)
Descriptors: Mathematics Activities, Learning Activities, Museums, Young Children

Heiny, Robert L. – Mathematics Teacher, 1981
The objectives, content, and intent of an undergraduate mathematics course at the University of Northern California. The course focuses on gambling and bets, with the focus of ideas on probability, expected value, computers, and the mathematics of finance. (MP)
Descriptors: College Mathematics, Experiential Learning, Higher Education, Mathematical Applications
Haller, Susan K.; Richardson, Mary G. – Mathematics Teaching in the Middle School, 2004
This article describes four hands-on activities that can be used to develop probabilistic and statistical thinking in the middle grades. (Contains 3 figures and 1 table.)
Descriptors: Statistics, Probability, Middle School Students, Experiential Learning