Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 6 |
| Since 2017 (last 10 years) | 9 |
| Since 2007 (last 20 years) | 13 |
Descriptor
Source
Author
Publication Type
| Journal Articles | 13 |
| Reports - Research | 9 |
| Reports - Descriptive | 2 |
| Collected Works - Proceedings | 1 |
| Opinion Papers | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 14 |
| Postsecondary Education | 13 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| Pennsylvania | 2 |
| Brazil | 1 |
| Bulgaria | 1 |
| Germany | 1 |
| Ghana | 1 |
| Malaysia | 1 |
| South Africa | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Katie A. McCarthy; Gregory A. Kuhlemeyer – Journal of Statistics and Data Science Education, 2024
To meet the demands of industry, undergraduate business curricula must evolve to prepare analytics-enabled professionals in fields such as finance, accounting, human resource management, and marketing. In this article, we provide a case study of developing a rigorous, integrated finance and data analytics course that was delivered using a…
Descriptors: Statistics Education, Finance Occupations, Course Content, Teaching Methods
Lasser, Jana; Manik, Debsankha; Silbersdorff, Alexander; Säfken, Benjamin; Kneib, Thomas – Teaching Statistics: An International Journal for Teachers, 2021
Data and its applications are increasingly ubiquitous in the rapidly digitizing world and consequently, students across different disciplines face increasing demand to develop skills to answer both academia's and businesses' increasing need to collect, manage, evaluate, apply and extract knowledge from data and critically reflect upon the derived…
Descriptors: Introductory Courses, Data, Interdisciplinary Approach, Programming Languages
Tucker, Mary C.; Shaw, Stacy T.; Son, Ji Y.; Stigler, James W. – Journal of Statistics and Data Science Education, 2023
We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students' understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as…
Descriptors: Statistics Education, Undergraduate Students, Programming Languages, Student Attitudes
Thompson, JaCoya; Arastoopour Irgens, Golnaz – Journal of Statistics and Data Science Education, 2022
Data science is a highly interdisciplinary field that comprises various principles, methodologies, and guidelines for the analysis of data. The creation of appropriate curricula that use computational tools and teaching activities is necessary for building skills and knowledge in data science. However, much of the literature about data science…
Descriptors: Data Analysis, Middle School Students, Statistics Education, Student Centered Learning
Neelima Bhatnagar; Victoria Causer; Michael J. Lucci; Michael Pry; Dorothy M. Zilic – Information Systems Education Journal, 2024
Data analytics is a rapidly growing field that plays a crucial role in extracting valuable insights from large volumes of data. A data analytics practicum course provides students with hands-on experience in applying data analytics techniques and tools to real-world scenarios. This practicum is intended to serve as a bridge between the student's…
Descriptors: Statistics Education, Data Analysis, Practicums, Education Work Relationship
Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
Mashood, K. K.; Khosla, Kamakshi; Prasad, Arjun; V., Sasidevan; Ashefas CH, Muhammed; Jose, Charles; Chandrasekharan, Sanjay – Physical Review Physics Education Research, 2022
Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…
Descriptors: Teaching Methods, Undergraduate Students, Science Instruction, Science Curriculum
Tan, Song Wei Benjamin; Naraharisetti, Pavan Kumar; Chin, Siew Kian; Lee, Lai Yeng – Journal of Chemical Education, 2020
The advance of digital technology presents an opportunity to equip students with relevant skill sets as "Scientists of the Future" who are able to utilize knowledge at the interface between various disciplines. In this technology report, an open source programming language is used to automate a simple laboratory experiment commonly…
Descriptors: Programming Languages, Science Instruction, Chemistry, Computer Science Education
Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
Eid, Chaker; Millham, Richard – American Journal of Business Education, 2013
In this paper, we investigate whether and how mathematics factors into students' performance in IT learning. The involved cognitive levels of students learning mathematics and hence problem solving, are correlated to how well they are able to transpose their knowledge and apply it to problem solving in the IT field(s). Our hypothesis is that if…
Descriptors: Information Technology, Mathematics Education, Interdisciplinary Approach, Unified Studies Curriculum
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
The author advocates that humanities scholars should seek and study programming languages. He believes that, increasingly, an appreciation of how complex ideas can be imagined and expressed as a set of formal procedures--rules, models, algorithms--in the virtual space of a computer will be an essential element of a humanities education. Students…
Descriptors: Programming Languages, Student Motivation, Artificial Intelligence, Computer Mediated Communication
Kortsarts, Yana; Morris, Robert W.; Utell, Janine M. – Information Systems Education Journal, 2010
Bioinformatics is a relatively new interdisciplinary field that integrates computer science, mathematics, biology, and information technology to manage, analyze, and understand biological, biochemical and biophysical information. We present our experience in teaching an interdisciplinary course, Introduction to Bioinformatics, which was developed…
Descriptors: Interdisciplinary Approach, Introductory Courses, Biology, Information Science
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 10th International Conference on Mobile Learning 2014, which was organised by the International Association for Development of the Information Society, in Madrid, Spain, February 28-March 2, 2014. The Mobile Learning 2014 International Conference seeks to provide a forum for the presentation and…
Descriptors: Conference Papers, Telecommunications, Handheld Devices, Technology Uses in Education
Botturi, Luca – Educational Technology Research and Development, 2006
The last decade has brought about a major change in higher education. Course design has developed from a craftsmanship-like process to a structured production, which involves interdisciplinary teams and requires more complex communication skills. This conceptual article introduces E[superscript 2]ML--Educational Environment Modeling Language--a…
Descriptors: Instructional Design, Communication Skills, Interdisciplinary Approach, Computer Assisted Instruction

Peer reviewed
Direct link
