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Peer reviewed
Download full textMark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education
Gary Yu Zhao; Cindy Zhiling Tu; Joni Adkins – Information Systems Education Journal, 2024
E-learning has become an emerging approach to delivering knowledge and information to students. It presents significant challenges to sharing and understanding learners' knowledge, inquiries, interest, and needs. Educational organizations are expected to apply the appropriate practice to address knowledge-sharing challenges in the e-learning…
Descriptors: Literature Reviews, Electronic Learning, Difficulty Level, Knowledge Level
Queen E. Booker; Carl M. Rebman Jr.; Hayden Wimmer; Steve B. Levkoff; Loreen Powell; Jennifer L. Breese – Information Systems Education Journal, 2024
The focus of this study was to assess the skill requirements for data analytics positions and to understand data analysis employment expectations for new graduates. Furthermore, this work seeks to highlight issues relevant to curriculum management in university degree programs. 786 job postings were analyzed for domain-related, soft skills, as…
Descriptors: Data Analysis, College Graduates, Expectation, Employment Potential
Direct linkSeyed Saman Saboksayr – ProQuest LLC, 2024
Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…
Descriptors: Networks, Topology, Graphs, Information Processing
Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
José Manuel Cordero; Lucía Mateos-Romero – Large-scale Assessments in Education, 2025
Background: In recent years, there has been generalized concern in all countries about increasing the younger population's level of financial literacy. However, there is still little evidence on the key factors explaining financial literacy, as the existing literature is inconclusive about this issue. This paper focuses on exploring whether…
Descriptors: Paying for College, Financial Literacy, Achievement Tests, Foreign Countries
Mohd Elmagzoub Eltahir; Najeh Rajeh Alsalhi – Contemporary Educational Technology, 2025
As we examine the pandemic's impact on higher education, we can see that many previously traditional teaching and learning frameworks have been invalidated, and the need for new teaching and learning approaches has increased. This indicates that the traditional frameworks for higher education may no longer be effective. Consequently, there is a…
Descriptors: Foreign Countries, Academic Achievement, Flipped Classroom, Higher Education
Sara Samy Abbas Mohamed El-kholy – Education and Information Technologies, 2025
This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their…
Descriptors: Artificial Intelligence, Academic Advising, Data Analysis, Delivery Systems
Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Guangyao Zhang; Lili Wang; Furong Shang; Xianwen Wang – Journal of Higher Education Policy and Management, 2025
The growth in digitalisation has led to an increasing demand for digital skills in various job sectors. In particular, employers in scientific job areas have shown interest in candidates possessing digital competencies. This study aims to analyse the digital skill requirements for candidates in scientific job opportunities. The content analysis is…
Descriptors: Technological Literacy, Job Skills, Employment Qualifications, Employer Attitudes
Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Amandeep Sehmi; Isra Sarfraz; Muzammil Hussain – Journal of Advanced Academics, 2025
This special issue article explores the role of generative artificial intelligence (GenAI) in the data analysis phase of academic research degrees, focusing on its adoption by research students in master's and doctor of philosophy programmes in the business and management disciplines, as viewed through the lens of research supervisors. A…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Data Analysis
Christine Dickason; Sharmila Mann; Nick Lee – Bellwether, 2025
"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…
Descriptors: Career Pathways, Educational Cooperation, State Programs, Program Implementation
Abhiru Chathurma Elaphatha; Meran Keshawa Ediriweera – Biochemistry and Molecular Biology Education, 2025
Glycosylation is a biologically significant post-translational modification (PTM) of proteins that involves the covalent attachment of a sugar molecule (a glycan) to a peptide sequence, resulting in the formation of glycoproteins. Glycomics and glycoproteomics involve the complete mapping of glycans of a cell, tissue, or organism.…
Descriptors: Data Analysis, Diseases, Computer Software, Computer Uses in Education
Nita A. Tarchinski; Thomas Matthew Colclough; Ashley Atkinson; Emily Bonem; Nathan Emery; Victoria Farrar; Madeleine Gonin; Daniel Guberman; Eleanor Louson; Matthew Mahavongtrakul; Timothy McKay; Marco Molinaro; Meryl Motika; Lizette Alda Muñoz Rojas; Hurshal Pol; Kem Saichaie; Kelsey Smart; Megan Stowe; Natasha T. Turman; Jenna Marie Thomas Vest; Ryan Sweeder – To Improve the Academy, 2025
The STEM Equity Learning Community (SELC) project guided multidisciplinary teams from nine large, public research institutions through a yearlong experience. We aimed to support instructors and undergraduate students in developing equity-mindedness to drive structural change efforts on their campuses. The SELCs were supported by access to equity…
Descriptors: Undergraduate Students, Equal Education, STEM Education, Educational Change
