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Yoshida, R.; Page, R. – PRIMUS, 2022
In the fall of 2009 and in the spring of 2012, supported by the National Institute of General Medical Sciences (NIGMS) in the National Institutes of Health (NIH), we designed a course "Phylogenetic Analysis and Molecular Evolution" (PAME), the first cross-listed course across three different colleges (College of Arts and Sciences,…
Descriptors: Molecular Biology, Evolution, Molecular Structure, Graduate Students
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Doll, Jessica L. – Management Teaching Review, 2022
Workforce planning is prevalent and recognized as a good strategic practice in many organizations. However, business students may have little experience with workforce planning or workforce analytics. The purpose of this article is to present a workforce planning exercise for use in a face-to-face or online classroom setting. In this exercise,…
Descriptors: Labor Force Development, Strategic Planning, Business Administration Education, Human Resources
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Alturki, Sarah; Cohausz, Lea; Stuckenschmidt, Heiner – Smart Learning Environments, 2022
The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…
Descriptors: Information Retrieval, Data Analysis, Data Use, Prediction
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Yamamoto, Scott H.; Alverson, Charlotte Y. – Autism & Developmental Language Impairments, 2022
Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, High School Graduates, Outcomes of Education
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Hundhausen, C. D.; Conrad, P. T.; Carter, A. S.; Adesope, O. – Computer Science Education, 2022
Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…
Descriptors: Computer Software, Computer Science Education, Correlation, Engineering Education
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Chaengpromma, Nattariga; Pattanapairoj, Sirorat – Cogent Education, 2022
The purpose of this research is to study the gap between industry expectations and the current competencies of bachelor's degree industrial engineering graduates in Khon Kaen University in Thailand 4.0 era so that the research results of this study may be used as the guideline for improvement of the existing Bachelor of Engineering Degree program…
Descriptors: Foreign Countries, College Graduates, Engineering Education, Industrial Education
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Hong, Moo Sun; Sun, Weike; Anthony, Brian W.; Braatz, Richard D. – Chemical Engineering Education, 2022
This article describes experiences with teaching process data analytics and machine learning, including in: (1) a joint undergraduate/graduate course for students in chemical and mechanical engineering and engineering management; and (2) an undergraduate chemical engineering concentration in process data analytics. The article also describes…
Descriptors: Teaching Methods, Graduate Students, Undergraduate Students, Chemical Engineering
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Cornman, Stephen Q.; O'Reilly, Nora; Ampadu, Osei; Caskey, Melinda; Vidal, Phil – National Center for Education Statistics, 2022
In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…
Descriptors: Retirement Benefits, Teacher Retirement, Elementary School Teachers, Secondary School Teachers
Vladimir Kogan; Brandon Genetin; Joyce Chen; Alan Kalish – Annenberg Institute for School Reform at Brown University, 2022
Student surveys are widely used to evaluate university teaching and increasingly adopted at the K-12 level, although there remains considerable debate about what they measure. Much disagreement focuses on the well-documented correlation between student grades and their evaluations of instructors. Using individual-level data from 19,000 evaluations…
Descriptors: Student Satisfaction, Grading, Student Evaluation of Teacher Performance, Correlation
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Hine, Christine – Research Ethics, 2021
There has been considerable debate around the ethical issues raised by data-driven technologies such as artificial intelligence. Ethical principles for the field have focused on the need to ensure that such technologies are used for good rather than harm, that they enshrine principles of social justice and fairness, that they protect privacy,…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
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Syed, Hassan; Syed, Ghazal Kazim – Research in Education, 2021
This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…
Descriptors: Novices, Researchers, Qualitative Research, Research Administration
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Ubilla, Francisca M.; Gorgorió, Núria – Teaching Statistics: An International Journal for Teachers, 2021
Statistical data is used in the media and on online platforms, often with an interpretation that serves some commercial or political purpose. Primary preservice teachers must be able to understand statistical data and analyze it critically. Only in this way will they be able to contribute as future teachers to the development of a critical spirit…
Descriptors: Statistical Data, Preservice Teachers, Elementary School Teachers, Data Analysis
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Toskin, Katarzyna; Kunene, Niki – Information Systems Education Journal, 2021
Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…
Descriptors: College Faculty, Data Analysis, Statistics Education, Undergraduate Students
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Djerasimovic, Sanja – European Journal of Higher Education, 2021
As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…
Descriptors: College Faculty, Professional Identity, Well Being, Diaries
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Sharma, Sashi; Sharma, Shweta; Doyle, Phil; Marcelo, Louis; Kumar, Daniel – Teachers and Curriculum, 2021
Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…
Descriptors: Statistics Education, Probability, Educational Games, Learning Activities
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