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Norton, Douglas E. – PRIMUS, 2022
This paper introduces a course design for a post-Calculus undergraduate course on mathematical modeling for the life sciences. The course includes differential equations, discrete, and cellular automata approaches (among others) to modeling questions in the life sciences, as well as a variety of biological topics. The course focuses on model…
Descriptors: Undergraduate Study, College Mathematics, Mathematical Models, Biological Sciences
Pi, Zhongling; Yang, Jiumin; Hu, Weiping; Hong, Jianzhong – Interactive Learning Environments, 2022
An emerging body of research has focused on students' creativity in group contexts, with the assumption that students could be inspired by peers' ideas. Although students' openness and attention to peers' ideas are claimed to play important roles in their creativity in group settings, there is little empirical research that tests this assumption.…
Descriptors: Personality Traits, Creativity, Attention, Peer Relationship
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
Klein, Markus; Sosu, Edward M.; Dare, Shadrach – AERA Open, 2022
Studies consistently show associations between school absences and academic achievement. However, questions remain about whether this link depends on the reason for children's absence. Using a sample of the Scottish Longitudinal Study (n = 4,419), we investigated whether the association between school absenteeism and achievement in high-stakes…
Descriptors: Attendance, Attendance Patterns, Academic Achievement, Foreign Countries
Getchell, Kristen M.; Pachamanova, Dessislava A. – INFORMS Transactions on Education, 2022
Drawing on the scholarship of writing and learning, this article motivates the use of writing assignments in analytics courses and develops a framework for instructional design that advances both writing skills and discipline-specific learning. We translate a best practices set of foundational writing concepts into a matrix of design levers for…
Descriptors: Writing Assignments, Writing Instruction, Instructional Design, Writing Skills
Umugiraneza, Odette; Bansilal, Sarah; North, Delia – Statistics Education Research Journal, 2022
The purpose of this study is to explore the expressions of confidence by a group of South African mathematics teachers about teaching mathematics and statistics concepts from various perspectives. The participants were 75 mathematics teachers who were teaching Grades 4 to 12 in KwaZulu-Natal (KZN) schools. They then were asked to express their…
Descriptors: Self Efficacy, Mathematics Instruction, Statistics Education, Mathematics Teachers
Sharpe, J. P. – Physics Teacher, 2022
The Poisson distribution describes the probability of a certain number of events occurring in an interval of time when the occurrence of the individual events is independent of one another and the events occur with a fixed mean rate. Probably the best-known example of the Poisson distribution in the physics curriculum is the temporal distribution…
Descriptors: Physics, Science Instruction, Probability, Mathematics Skills
Çetinkaya-Rundel, Mine; Dogucu, Mine; Rummerfield, Wendy – Statistics Education Research Journal, 2022
Many data science applications involve generating questions, acquiring data and preparing it for analysis--be it exploratory, inferential, or modeling focused--and communicating findings. Most data science curricula address each of these steps as separate units in a course or as separate courses. Open-ended term projects, however, allow students…
Descriptors: Introductory Courses, Data Analysis, Statistics Education, Units of Study
Hayat, Bahrul – Cogent Education, 2022
The purpose of this study comprises (1) calibrating the Basic Statistics Test for Indonesian undergraduate psychology students using the Rasch model, (2) testing the impact of adjustment for guessing on item parameters, person parameters, test reliability, and distribution of item difficulty and person ability, and (3) comparing person scores…
Descriptors: Guessing (Tests), Statistics Education, Undergraduate Students, Psychology
Feliciano-Semidei, Ricela; Wu, Ke; Chaphalkar, Rachel M. – Journal of University Teaching and Learning Practice, 2022
This study developed a teaching module that incorporated the Monty Hall problem to introduce conditional probability in a college introductory statistics course. This teaching module integrated a guess -- experiment -- discussion approach with game-based instruction. The researchers piloted this module and made modifications. The work of 20…
Descriptors: Teaching Methods, Undergraduate Students, Statistics Education, Introductory Courses
Griffith, John; Faulconer, Emily – Online Journal of Distance Learning Administration, 2022
This study attempted to determine if placing videos in an asynchronous course influenced the learning experience. Data were examined for an introductory college statistics course comparing results pre and post implementation of videos in support of discussions, assignments, homework, quizzes, and exams. Frequency of external tutoring was…
Descriptors: Video Technology, Asynchronous Communication, Online Courses, Learning Experience
Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
Cline, Kelly; Huckaby, David A.; Zullo, Holly – PRIMUS, 2022
To identify clicker questions likely to provoke rich and engaging student discussions, we recorded the percentage of the class voting on each option on every clicker question used throughout each semester, encompassing nineteen sections of introductory statistics, taught by three instructors. Working from the hypothesis that seeing student votes…
Descriptors: Audience Response Systems, Statistics, Introductory Courses, Discussion (Teaching Technique)
Medford, Andrew J.; Boukouvala, Fani; Grover, Martha A.; Sholl, David; Meredith, Carson; Cheng, Pengfei; Choi, Sihoon; Gusmão, Gabriel S.; Kilwein, Zachary; Ravutla, Suryateja; Wirth, Fatimah; Wooley, Jennifer; Sewer, Zaid – Chemical Engineering Education, 2022
The Graduate Certificate in Data Science for the Chemical Industries was designed to provide skills to working professionals, via a fully online and asynchronous format. The certificate may also be earned by undergraduate and graduate students at Georgia Tech. The certificate consists of four courses. The two core courses are Data Analytics for…
Descriptors: Chemistry, Science Instruction, Statistics Education, Chemical Engineering
Opportunities for K-8 Students to Learn Statistics Created by States' Standards in the United States
Weiland, Travis; Sundrani, Anita – Journal of Statistics and Data Science Education, 2022
Statistical literacy is key in this heavily polarized information age for an informed and critical citizenry to make sense of arguments in the media and society. The responsibility of developing statistical literacy is often left to the K-12 mathematics curriculum. In this article, we discuss our investigation of K-8 students' current…
Descriptors: Elementary School Students, Middle School Students, Statistics Education, Educational Opportunities

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