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Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education

Schwartz, Lowell M. – Journal of Chemical Education, 1985
Shows that the rules of thumb for propagating significant figures through arithmetic calculations frequently yield misleading results. Also describes two procedures for performing this propagation more reliably than the rules of thumb. However, both require considerably more calculational effort than do the rules. (JN)
Descriptors: Algorithms, Chemistry, College Science, Computation
Computers in the Undergraduate Physical Chemistry Laboratory: A Chemistry/Numerical Methods Approach

Norris, A. C.; Collins, B. A. – International Journal of Mathematical Education in Science and Technology, 1974
Descriptors: Algorithms, Chemistry, College Science, Computers

Still, Ebbe; Sara, Rolf – Journal of Chemical Education, 1977
Presents compact algorithms, suitable for use with hand held calculators, for the calculation of potentiometric titration curves. (SL)
Descriptors: Algorithms, Calculators, Chemical Reactions, Chemistry

Knudson, George E.; Nimrod, Dale – Journal of Chemical Education, 1977
Presents an exact equation for calculating the volume of titrant as a function of the hydrogen ion concentration suitable for calculation on a hand held calculator. (SL)
Descriptors: Algorithms, Calculators, Chemical Reactions, Chemistry

Remillard, Wilfred J. – American Journal of Physics, 1978
Studies the relationship between Eulerian and Lagrangian coordinate systems with the help of computer plots of variables such as density and particle displacement. Gives examples which illustrate the differences in the shape of a traveling wave as seen by observers in the two systems. (Author/GA)
Descriptors: Algorithms, College Science, Diagrams, Higher Education

Gfeller, Mary K.; Niess, Margaret L.; Lederman, Norman G. – School Science and Mathematics, 1999
Examines solutions presented by preservice teachers for solving graphical and numerical problems involving the arithmetic mean. Participants presented two methods: algorithmic computation and balancing deviations about the mean. A significant difference was found between science and mathematics preservice teachers in the use of balancing…
Descriptors: Algorithms, Higher Education, Mathematics Education, Preservice Teacher Education
Craft, William J. – 1975
A visual problem-solving technique applicable to several different classes of mechanics time-dependent problems is discussed. The computer is used to solve the equations of motion of various mechanical systems by one of several standard methods, and the solutions are displayed in time increments. A specific example is provided to illustrate this…
Descriptors: Algorithms, College Science, Computers, Engineering
Coscarelli, William C.; And Others – 1976
Ninety students in an introductory chemistry class were divided into three groups to test the power of algorithms to increase logical thinking abilities. The experimental group received approximately 10 hours of laboratory instruction based on the use of procedural algorithms. Experiment and control groups were tested for logical thinking…
Descriptors: Algorithms, Chemistry, College Science, Educational Research

Curtis, Lorenzo J. – American Journal of Physics, 1978
Presents the historical development of perceptions and applications of the exponential law, tracing it from its ancient origins until the year 1900. Shows that many concepts such as mean life and half life and their relationships to differential equations were known long before their application to nuclear radioactivity. (GA)
Descriptors: Algorithms, College Mathematics, College Science, Higher Education

Stencel, John E. – Journal of College Science Teaching, 1992
Explains how a simple three-step algorithm can aid college students in solving synapse transmission problems. Reports that all of the students did not completely understand the algorithm. However, many learn a simple working model of synaptic transmission and understand why an impulse will pass across a synapse quantitatively. Students also see…
Descriptors: Algorithms, Anatomy, Biology, College Science

Pushkin, David B. – Journal of Chemical Education, 1998
Addresses the distinction between conceptual and algorithmic learning and the clarification of what is meant by a second-tier student. Explores why novice learners in chemistry and physics are able to apply algorithms without significant conceptual understanding. (DDR)
Descriptors: Algorithms, Chemistry, Cognitive Psychology, Concept Formation

Moebs, W. D.; Haglund, E. A. – Journal of Chemical Education, 1976
Presents a computational method based on a Monte Carlo generation of a large number of chemical reactions. The reactions are allowed to proceed on the basis of relative probabilities. (MLH)
Descriptors: Algorithms, Chemical Reactions, Chemistry, College Science

McLeod, P. J. – Medical Teacher, 1991
The factors which have a major impact on the success in producing effective readable text in both the content as well as to the way it is presented are outlined. A discussion of the objectives of the learner and the characteristics of the text that facilitate student learning is presented. (KR)
Descriptors: Advance Organizers, Algorithms, Higher Education, Instructional Materials

Summers, M. K. – Physics Education, 1978
Defines all recurrence relations used in the Nuffield course, to solve first- and second-order differential equations, and describes a typical algorithm for computer generation of solutions. (Author/GA)
Descriptors: Algorithms, Atomic Theory, College Science, Computer Oriented Programs