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Direct linkTyler M. M. Stack – Biochemistry and Molecular Biology Education, 2025
Biochemistry lecture and lab courses often contain enzyme kinetics as part of the curriculum, but do not regularly focus on interpreting the kinetic constants. Similarly, as we implement course-based undergraduate research experiences in our lab courses, we encourage our students to produce publication-quality images and determine the enzymatic…
Descriptors: Biochemistry, Science Instruction, Student Research, Undergraduate Students
Jovan Groen; Carolyn Hoessler; Carolyn Ives; Veronica Bamber; Corinne Laverty; Klodiana Kolomitro – To Improve the Academy, 2023
Across higher education, educational developers and their supporting campus communities are being called upon to scale up evidence-informed practices, to enhance student experiences, and to document the changes. This article builds on the work of scholars who have taken up this evaluative challenge, by examining varied aspects of the evidencing…
Descriptors: Educational Development, Educational Change, Higher Education, Evidence
Download full textMary Francis; Mejai Bola Mike Avoseh; Karen Card; Lisa Newland; Kevin Streff – Journal of Learning Analytics, 2023
This single-site case study will seek to answer the following question: how is the concept of privacy addressed in relation to a student success information system within a small, public institution of higher education? Three themes were found within the inductive coding process, which used interviews, documentation, and videos as data resources.…
Descriptors: Privacy, Online Systems, Small Colleges, Public Colleges
Hassna, Ghazwan – Perspectives: Policy and Practice in Higher Education, 2023
Given their potential, "Big Data and Analytics" can help institutions of higher education to thoroughly examine newly emerging challenges, explore and identify new ways to address them, and predict future outcomes for growth. Considering how new "Big Data and Analytics" are, existing knowledge about the potential value to…
Descriptors: Higher Education, Models, Marketing, Academic Advising
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Kalista Peña – Tribal College Journal of American Indian Higher Education, 2025
Native nations have long proven their resilience against the odds, consistently paving a path forward and exercising their sovereign rights as autonomous, self-governing peoples. As the world embarks upon an increasingly digital age, Indigenous peoples face a new threat: datafication. Datafication is "turning nearly every aspect of human life…
Descriptors: Minority Serving Institutions, Tribally Controlled Education, Tribal Sovereignty, Data Use
Eirini Kalaitzopoulou; Athanasios Christopoulos; Paul Matthews – Informatics in Education, 2025
While research on Learning Analytics (LA) is plentiful, it often prioritises perspectives on LA systems over the practical ways instructors use data to analyse and refine the learning process per se. The present study addresses this inadequacy by investigating how student data is employed by educators in UK Higher Education Institutions (HEIs) and…
Descriptors: Information Literacy, Learning Analytics, Data Use, College Faculty
Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Farrell, Shannon L.; Kelly, Julia A.; Hendrickson, Lois G.; Mastel, Kristen L. – Issues in Science and Technology Librarianship, 2023
Historic data in analog (or print) format is a valuable resource that is utilized by scientists in many fields. This type of data may be found in various locations on university campuses including offices, labs, storage facilities, and archives. This study investigates whether biological data held in one institutional university archives could be…
Descriptors: Archives, Universities, Data, Data Collection
Illinois Community College Board, 2023
Data about compensation received by employees in Illinois' 48 public community colleges are gathered by the Illinois Community College Board (ICCB). Data in the Fiscal Year 2023 Salary Report, which derive from the ICCB Faculty, Staff, and Salary (C1) Data and Supplementary Faculty, Staff, and Salary Information, reflect the census date of October…
Descriptors: Community Colleges, Public Colleges, Salaries, College Faculty
Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
SeHee Jung; Hanwen Wang; Bingyi Su; Lu Lu; Liwei Qing; Xiaolei Fang; Xu Xu – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…
Descriptors: Undergraduate Students, Data Science, Handheld Devices, Open Source Technology
Marcos Roque da Rosa; Clodis Boscarioli; Kátya Regina de Freitas Zara – International Journal of Sustainability in Higher Education, 2024
Purpose: This study aims to identify how literature has addressed sustainability reporting in universities over time and determine traceable patterns and trends. Design/methodology/approach: A comprehensive systematic review protocol of the Emerald Insight, Web of Science, Science Direct, Scopus, Springer Link and Wiley Online Library databases…
Descriptors: Sustainability, Universities, Institutional Evaluation, Reports
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Cheryl Burleigh; Andrea M. Wilson – Journal of Educational Technology Systems, 2024
With the advent of readily accessible generative artificial intelligence (GAI), a concern exists within the academic community that research data collected in the context of conducting doctoral dissertation research is authentic. The purpose of the present study was to explore the role of GAI in the production of new research paying particular…
Descriptors: Artificial Intelligence, Data Collection, Doctoral Dissertations, Research Methodology
