NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
James J. Pomykalski – Information Systems Education Journal, 2023
Blended learning, which is the "thoughtful fusion of face-to-face and online learning experiences" (Garrison & Vaughan, 2008), is a pedagogical paradigm used in courses across numerous disciplines. In this paper, the use of LinkedIn Learning modules as the primary technological component is described; the focus of this first-time use…
Descriptors: Social Media, Blended Learning, Teaching Methods, Learning Modules
Peer reviewed Peer reviewed
Direct linkDirect link
Sickler, Jessica; Bardar, Erin; Kochevar, Randy – Journal of College Science Teaching, 2021
Data literacy, or students' abilities to understand, interpret, and think critically about data, is an increasing need in K-16 science education. Ocean Tracks College Edition (OTCE) sought to address this need by creating a set of learning modules that engage students in using large-scale, professionally collected animal migration and physical…
Descriptors: Information Literacy, Data Analysis, Undergraduate Students, Scoring Rubrics
Peer reviewed Peer reviewed
Direct linkDirect link
Silvia-Jessica Mostacedo-Marasovic; Cory T. Forbes – International Journal of Sustainability in Higher Education, 2024
Purpose: A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food-energy-water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP,…
Descriptors: Faculty Development, Learning Modules, Program Evaluation, Program Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Wilson, Anna; Watson, Cate; Thompson, Terrie Lynn; Drew, Valerie; Doyle, Sarah – Teaching in Higher Education, 2017
Learning analytic implementations are increasingly being included in learning management systems in higher education. We lay out some concerns with the way learning analytics--both data and algorithms--are often presented within an unproblematized Big Data discourse. We describe some potential problems with the often implicit assumptions about…
Descriptors: Educational Research, Data Collection, Data Analysis, Integrated Learning Systems