NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 125 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sebastian, TaliaMarie; Qu, Ke; Zeng, Xiangqun – Journal of Chemical Education, 2021
We have revamped a classic analytical chemistry laboratory experiment, "Determination of an Unknown Acid", to provide students an opportunity to learn about new advances in the material sciences and their applications in analytical chemistry in an effort to reinforce the key concepts of chemical analysis. Specifically, students were…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Laboratory Experiments
Peer reviewed Peer reviewed
Direct linkDirect link
Bukac, Josef; Sulc, Jakub – Teaching Statistics: An International Journal for Teachers, 2020
The question is whether or not we or any student are allowed to define a measure of variability in some other way that is not written in textbooks and officially approved. We compare the sum of squares of all deviations against the usual sum of squares of deviations from the mean.
Descriptors: Statistics, Teaching Methods, Textbooks, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Chalikias, Miltiadis; Kossieri, Evangelia; Lalou, Panagiota – Teaching Statistics: An International Journal for Teachers, 2020
The aim of this paper is to approach the teaching of the Poisson distribution in a friendly and amusing way. It constitutes a common practice to adopt the main probability distributions in order to predict results of sport events and to estimate the win return of betting activities (Chalikias 2009). In particular, by using the Poisson…
Descriptors: Decision Making, Team Sports, Probability, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Frischemeier, Daniel; Leavy, Aisling – Teaching Statistics: An International Journal for Teachers, 2020
Posing statistical questions is a fundamental and often overlooked component of statistical inquiry. In this paper, we provide an overview of shared understandings regarding what constitutes a good statistical question. We then describe three approaches--a checklist for improving statistical questions, a three-phase feedback activity, and a…
Descriptors: Statistics, Teaching Methods, Questioning Techniques, Check Lists
Peer reviewed Peer reviewed
Direct linkDirect link
Lübke, Karsten; Gehrke, Matthias; Horst, Jörg; Szepannek, Gero – Journal of Statistics Education, 2020
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…
Descriptors: Inferences, Simulation, Attribution Theory, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Nurse, Anne M.; Staiger, Trish – Teaching Sociology, 2019
Data reproducibility is becoming increasingly important in the social sciences, but it has yet to be incorporated into many undergraduate sociology programs. This note describes a service-learning activity that can be added to an introductory statistics course. Students partner with a nonprofit and analyze quantitative data to answer questions…
Descriptors: Teaching Methods, Sociology, Undergraduate Students, Service Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Tal, Yael; Kukliansky, Ida – Journal of Statistics Education, 2020
The aim of this study is to explore the judgments and reasoning in probabilistic tasks that require comparing two probabilities either with or without introducing an additional degree of uncertainty. The reasoning associated with the task having an additional condition of uncertainty has not been discussed in previous studies. The 66 undergraduate…
Descriptors: Undergraduate Students, Comparative Analysis, Statistics, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Marina E.; Berenson, Mark L. – Decision Sciences Journal of Innovative Education, 2019
AACSB has now mandated that analytics be integrated into the undergraduate business curriculum. Given that the subject of statistics provides the underpinnings of the developing discipline of business analytics, this article focuses on effective course delivery aimed at enhancing the learning of introductory business statistics in the modern world…
Descriptors: Teaching Methods, Introductory Courses, Undergraduate Students, Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kurniawan, Wawan; Darmaji, Darmaji; Astalini, Astalini; Kurniawan, Dwi Agus; Hidayat, M.; Kurniawan, Nugroho; Farida, Linda Zaenati Nur – International Journal of Evaluation and Research in Education, 2019
This study aimed to determine the differences in science process skills in each class in the Physics Education Study Program. This research was a quantitative study with a comparison design. The sample was 108 students with details of 54 control class students who used conventional guidebooks, while the control class totaling 54 students used a…
Descriptors: Physics, Science Education, Science Process Skills, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Tipton, Elizabeth; Fellers, Lauren; Caverly, Sarah; Vaden-Kiernan, Michael; Borman, Geoffrey; Sullivan, Kate; Ruiz de Castilla, Veronica – Journal of Research on Educational Effectiveness, 2016
Recently, statisticians have begun developing methods to improve the generalizability of results from large-scale experiments in education. This work has included the development of methods for improved site selection when random sampling is infeasible, including the use of stratification and targeted recruitment strategies. This article provides…
Descriptors: Generalizability Theory, Site Selection, Experiments, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Baxter, Sarah E. – ProQuest LLC, 2017
The purpose of this study was to compare undergraduate students' academic performance and attitudes about statistics in the context of two different types of assessment structures for an introductory statistics course. One assessment structure used in-class quizzes that emphasized computation and procedural fluency as well as vocabulary…
Descriptors: Evaluation Methods, Undergraduate Students, Statistics, Comparative Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yimer, Sirak Tsegaye; Feza, Nosisi Nellie – International Electronic Journal of Mathematics Education, 2020
This study examined the influence of the jigsaw co-operative learning strategy integrated with GeoGebra (JCLGS), on Ethiopian undergraduate statistics and chemistry learners' conceptual knowledge development and attitudinal change towards calculus. The post-positivism quantitative methods approach employed in a non-equivalent pre-and post-test…
Descriptors: Attitude Change, Mathematics Instruction, Calculus, Cooperative Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Büscher, Christian; Schnell, Susanne – Statistics Education Research Journal, 2017
The present study investigates the processes of how German middle school students (age 14) interpret, contrast and evaluate different (informal) statistical measures in order to summarise and compare frequency distributions. To trace the developing insights into the properties of these measures, this paper uses the 'emergent modelling'…
Descriptors: Case Studies, Statistics, Middle School Students, Comparative Analysis
Shea, Kathleen – ProQuest LLC, 2015
Nursing students are expected to apply knowledge from lectures and laboratories to the clinical setting. One major challenge of nursing educators is facilitating the transfer of knowledge to the clinical-practice setting. Simulation-based education provides students with an experiential-learning activity within the context of a simulated clinical…
Descriptors: Nursing Students, Nursing Education, Clinical Experience, Simulation
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9