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Jones, Valerie K.; Johnson, Kate; Molskness, Hannah; Gandhi, Ronit; Zhou, Lilly – Journal of Advertising Education, 2022
This paper describes an advertising ethics course designed for first-year students of any major, written from the perspectives of both the course creator/instructor and the students who took the course and developed a workshop based around it. As educators, how do we help students learn and care about how their data is collected and used and…
Descriptors: Advertising, Ethics, Introductory Courses, Undergraduate Students
Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
Blincoe, Sarai; Buchert, Stephanie – Psychology Learning and Teaching, 2020
The preregistration of research plans and hypotheses may prevent publication bias and questionable research practices. We incorporated a modified version of the preregistration process into an undergraduate capstone research course. Students completed a standard preregistration form during the planning stages of their research projects as well as…
Descriptors: Psychology, Teaching Methods, Research Problems, Research Design
Nageotte, Nichole; Buck, Gayle; Kirk, Holly – Science Teacher, 2018
Imagine saving just one of the 23,000 species threatened with extinction. Students studying endangered species in a general life science course faced the decision of which species to save as a summative assignment in a unit on scientific explanation and argumentation. They used the claim, evidence, and reasoning (CER) framework in which students…
Descriptors: Wildlife, Conservation (Environment), Death, Biological Sciences
Fritz, Mackenzie R.; Guthrie, Kathy L. – Journal of Leadership Education, 2017
Values clarification is a dynamic process in which people come to understand what they individually view as important in their lives by placing a name or label to what one values. This process commonly occurs during the traditional college years and is a critical component of leadership education. This qualitative study examined how junior-level…
Descriptors: Values Clarification, Leadership Training, Qualitative Research, Undergraduate Students
Carmean, Colleen; Mizzi, Philip – EDUCAUSE Quarterly, 2010
Developed as a concept in the science of choice, subtle interactions--or "nudges"--can influence people's actions without infringing on their freedom of choice. This article makes the case that not only can the wealth of digital data in higher education nudge students to better achievement and persistence but also that the knowledge embedded in…
Descriptors: Higher Education, Decision Making, Academic Achievement, Academic Persistence
Bass, Michelle B.; Halverson, Erica R. – Pedagogies: An International Journal, 2012
In this article, the authors unpack a first-year college seminar where students explored digital representations of self-afforded pedagogies of possibility for traditionally marginalized student populations, specifically students of colour and first-generation college goers. An artefact analysis model is used to trace the relationship between the…
Descriptors: College Freshmen, First Year Seminars, Minority Group Students, First Generation College Students
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction