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Baumer, Benjamin S.; Garcia, Randi L.; Kim, Albert Y.; Kinnaird, Katherine M.; Ott, Miles Q. – Journal of Statistics and Data Science Education, 2022
We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our…
Descriptors: Ethics, Statistics Education, Data Analysis, Teaching Methods
Leidig, Jonathan P. – Information Systems Education Journal, 2023
Educators are tasked with continually updating course objectives, content, assignments, and assessment to meet model curriculum guidelines. IS2020 proposes program level outcomes for required and elective areas. Two elective areas in IS2020 are Data and Business Analytics and Data and Information Visualization. IS2020 details 14 program level…
Descriptors: Course Objectives, Outcomes of Education, Curriculum Development, Required Courses
Neugebauer, Sabina Rak; Morrison, Diane; Karahalios, Vicky; Harper, Evan; Jones, Haley; Lenihan, Shauna; Oosterbaan, Fenner; Tindall, Carly – Action in Teacher Education, 2021
Current teacher preparation programs have received scrutiny for failing to sufficiently support teachers in valuing and developing their knowledge of data literacy. The current study explores a collaborative approach to increasing pre-service teachers' experiences with data literacy by including under-utilized data experts: school psychologists.…
Descriptors: Data Analysis, Decision Making, Preservice Teacher Education, Literacy
Rosenberg, Joshua M. – ProQuest LLC, 2018
Data-rich activities provide an opportunity to develop core competencies in both science and mathematics identified in curricular standards. Perhaps even more importantly work with data puts learners in the position to use data to ask and answer questions, a potentially empowering capability. Research on work with data has focused on cognitive…
Descriptors: STEM Education, Data Analysis, Learner Engagement, Educational Practices
Data Literacy on the Road: Setting up a Large-Scale Data Literacy Initiative in the Databuzz Project
Seymoens, Tom; Van Audenhove, Leo; Van den Broeck, Wendy; Mariën, Ilse – Journal of Media Literacy Education, 2020
This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…
Descriptors: Data Analysis, Literacy, Program Descriptions, Laboratories
Ruediger, Dylan; Cooper, Danielle Miriam – ITHAKA S+R, 2022
Quantitative literacy is an essential twenty-first century skill that universities are heavily invested in teaching to students. The social sciences play an important role in these efforts because they attract students who might otherwise avoid data and mathematically oriented courses and because they ground quantitative reasoning in political and…
Descriptors: Statistics Education, Undergraduate Students, Social Sciences, Teaching Methods
Rees Lewis, Daniel G.; Easterday, Matthew W.; Harburg, Emily; Gerber, Elizabeth M.; Riesbeck, Christopher K. – British Journal of Educational Technology, 2018
To provide the substantial support required for project-based learning (PBL), educators can incorporate professional experts as "design coaches." However, previous work shows barriers incorporating design coaches who can rarely meet face-to-face: (1) communication online is time-consuming, (2) updating coaches online is not perceived as…
Descriptors: Barriers, Student Projects, Teaching Methods, Computer Mediated Communication
Finzer, William; Busey, Amy; Kochevar, Randy – Science Teacher, 2018
Data-driven inquiry as a science practice and instructional approach can provide a powerful context for project-based learning (PBL). Students engage in data-driven inquiry when they explore a rich data set and observe patterns, ask questions suggested by the data, and pursue answers about underlying phenomena. Krajcik (2015) describes five…
Descriptors: Science Instruction, Teaching Methods, Data Analysis, Maps
Digital Promise, 2017
As they prepared for the 2016-2017 school year, administrators and teachers at Design Tech High School ("d.tech"), a public charter school in Northern California, decided they needed a deeper understanding of how students learn. According to Nicole Cerra, Director of Learning, "Obviously you need to get to know students…
Descriptors: Brainstorming, Problem Solving, Public Schools, Charter Schools
Bicak, Ali; Liu, Michelle; Murphy, Diane – Information Systems Education Journal, 2015
The cybersecurity curriculum has grown dramatically over the past decade: once it was just a couple of courses in a computer science graduate program. Today cybersecurity is introduced at the high school level, incorporated into undergraduate computer science and information systems programs, and has resulted in a variety of cybersecurity-specific…
Descriptors: Information Security, Curriculum Design, Computer Science, Graduate Study
Vanover, Charles; Hodges, Olivia – School Leadership & Management, 2015
This case study uses evidence collected for accreditation and programme improvement at a small university Master's and certification programme in Educational Leadership Development to describe efforts to help leadership candidates use data during the programme's final internship experience. Programme features supporting the growth of candidates'…
Descriptors: Data, Data Analysis, Internship Programs, Program Improvement
Boose, David L. – Journal of College Science Teaching, 2014
Quantitative reasoning is a key intellectual skill, applicable across disciplines and best taught in the context of authentic, relevant problems. Here, I describe and assess a laboratory exercise that has students calculate their "carbon footprint" and evaluate the impacts of various behavior choices on that footprint. Students gather…
Descriptors: Nonmajors, Statistical Analysis, Data Collection, Computation
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
White, Joshua S.; Maskiewicz, April C. – American Biology Teacher, 2014
Using a design-based research approach, we developed a data-rich problem (DRP) set to improve student understanding of cellular respiration at the ecosystem level. The problem tasks engage students in data analysis to develop biological explanations. Several of the tasks and their implementation are described. Quantitative results suggest that…
Descriptors: Metabolism, Cytology, Molecular Biology, Data Analysis
Watson, Jane M. – Australian Mathematics Teacher, 2012
This article compares the definition of "box plot" as used in the "Australian Curriculum: Mathematics" with other definitions used in the education community; describes the difficulties students experience when dealing with box plots; and discusses the elaboration that is necessary to enable teachers to develop the knowledge…
Descriptors: Foreign Countries, Probability, Data Analysis, Mathematics Curriculum