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Matthew Moreno; Lucia Patino Melo; Keerat Grewal; Negar Matin; Sayed Azher; Jason M. Harley – Metacognition and Learning, 2024
Medical simulations allow trainees to work within teams to develop their self-regulated learning (SRL) and socially-shared regulated learning (SSRL) skills (Bransen et al., 2022). Both skillsets help to better prepare medical trainees for the multifaceted challenges inherent in clinical practice. SRL skills are imperative in empowering learners to…
Descriptors: Data Analysis, Medical Students, Trainees, Self Control
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Matthew Boyne – Information Systems Education Journal, 2024
The research sought to study potential efficiency in course design and execution using Constructive Alignment, and then classroom workflow grounded in eduScrum based on the Agile Project Framework of Scrum for graduate classes in managerial analytics. The research measured performance based on the Scrum concept of Velocity, defined as the rate of…
Descriptors: Graduate Study, Data Analysis, Computer Software, Instructional Effectiveness
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Vance, Eric A. – Journal of Statistics and Data Science Education, 2021
Data science is collaborative and its students should learn teamwork and collaboration. Yet it can be a challenge to fit the teaching of such skills into the data science curriculum. Team-Based Learning (TBL) is a pedagogical strategy that can help educators teach data science better by flipping the classroom to employ small-group collaborative…
Descriptors: Cooperative Learning, Data Analysis, Statistics Education, Flipped Classroom
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Gitinabard, Niki; Okoilu, Ruth; Xu, Yiqao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin – International Educational Data Mining Society, 2020
Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporating both collaboration and online development environments into their curricula even in introductory courses. In this research, we collected GitHub logs from two…
Descriptors: Teamwork, Group Activities, Student Projects, Programming
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Mohammad Heshmati; W. David Purvis – Chemical Engineering Education, 2024
Three real-world datasets are introduced for a petroleum engineering capstone design course, providing detailed problem statements, assessment criteria, team-building practices, and required software packages. Two surveys reveal that students prefer real datasets over synthetic ones, and despite initial challenges, students feel proud of their…
Descriptors: Chemical Engineering, Engineering Education, Fuels, Capstone Experiences
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Esther Tenorio; Jimel Sandoval; Jenae Sanchez; Ryan Sanchez; Melina Salvador; Deborah B. Altschul – Health Education & Behavior, 2025
The Tribal-Academic partnership model described in this article uses Community-Based Participatory Research (CBPR) approaches to foster collaboration between community partners and academic researchers throughout study design, implementation, data collection, interpretation, and dissemination. Literature highlights the importance of community…
Descriptors: School Community Relationship, Research Design, Data Collection, Data Analysis
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Charlotte A. Dodson; Stephen E. Flower; Mark Thomas – Journal of Chemical Education, 2023
Industrial drug discovery teams encompass scientists from multiple specialties and require participants to communicate effectively across disciplinary boundaries. In this paper, we present an undergraduate or graduate classroom simulation of this environment. Over a series of five workshops, student teams of mixed scientific backgrounds perform…
Descriptors: Drug Therapy, Pharmacy, Teamwork, Interdisciplinary Approach
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Ferns, Sonia; Phatak, Aloke; Benson, Susan; Kumagai, Nina – Teaching Statistics: An International Journal for Teachers, 2021
In the contemporary workplace, data scientists who are capable of interdisciplinary collaboration are in high demand. Universities need to provide data science students with a plethora of learning opportunities that involve collaboration in interdisciplinary contexts and engagement with industry partners. Curtin University and Lab Tests Online…
Descriptors: Employment Potential, Data, Statistics Education, Interdisciplinary Approach
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Larson, Benjamin E.; Sanders, Matthew A.; Bohler, Jeffrey A. – Information Systems Education Journal, 2021
Familiarity with management information systems (MIS) and business analytics (BA) knowledge and soft skills facilitating teamwork are becoming critical for business-related disciplines. This study explores the need for information systems (IS) and analytics courses and soft skills in accounting positions by analyzing accounting job listings in a…
Descriptors: Soft Skills, Business Skills, Management Information Systems, Data Analysis
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Danley, Angela J. – SRATE Journal, 2020
Preparing teacher candidates to analyze achievement data is necessary to develop the understanding of how academic data is collected and used to inform instruction. Collecting achievement data in the area of literacy includes a variety of assessments focused on reading and writing. A critical component of analyzing data involves working in…
Descriptors: Preservice Teachers, Literacy, Data Analysis, Data Use
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Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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Hudiburgh, Lynette M.; Garbinsky, Diana – Journal of Statistics Education, 2020
Although the use of tables, graphs, and figures to summarize information has long existed, the advent of the big data era and improved computing power has brought renewed attention to the field of data visualization. As such, it is crucial that introductory statistics courses train students to become critical authors and consumers of data…
Descriptors: Statistics Education, Data Analysis, Visualization, Teaching Methods
Business-Higher Education Forum, 2019
"Creating Purposeful Partnerships" offers insights into business-led regional talent ecosystems that facilitate access, alignment, and development of a prepared workforce with the skills necessary for companies' long-term success. The findings of this report serve as a playbook for CEOs and their executive teams for establishing…
Descriptors: Partnerships in Education, School Business Relationship, Higher Education, Teamwork
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Hopkins, Karen; Meyer, Megan; Afkinich, Jenny – Journal of Social Work Education, 2022
Equitable opportunities for performance measurement learning among social work graduate students can create a diverse professional pipeline toward higher performing organizations. A Foundation-University partnership was developed to "expand the bench" of students, primarily of color, trained in performance measurement with the…
Descriptors: Student Diversity, Social Work, Counselor Training, Graduate Students
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