Integrating data information literacy into a service-learning engineering design course

Abstract

Over the past several years increasing emphasis has been placed on the development of data information literacy (DIL) skills for engineering researchers to comply with funding requirements and to facilitate data sharing, reuse, and preservation. These efforts have been largely aimed at faculty members and graduate students, and to some extent undergraduate students in preparation for their roles as future researchers. However, little attention has been directed at developing DIL skills in undergraduate engineering students engaged in non-research activities, such as service-learning design projects that integrate instruction and community service. This work-in-progress paper reports on using service-learning pedagogy to integrate DIL into engineering design education. Preliminary analysis of student journal entries and instructor observations are discussed.

A strategic approach to information literacy: data literacy. A systematic review

“…For this reason, there are various programs that integrate both literacies into the curricula on the basis of a diagnosis of the needs encountered (Carlson et al 2011;Maybee et al 2015;Frank;Pharo, 2016;Macy;Coates, 2016). Other studies demonstrate the crucial nature of these competencies for subsequent professional development (Boettger et al, 2017;Phillips;Jahanshahi, 2017). Overall, the available satisfaction scores are good, with both teachers and students confirming that they stimulate their interest in data and competence in their interpretation and management, with an overall positive impact on their learning and curricular advancement, as well as regarding the relevance of Infolit as a foundation for DL (Koltay, 2015a;Šorgo, 2018;Braun;Huwer, 2022).…”

Community engagement in engineering education: A systematic literature review

“…Finally, in some course-based international community engagement projects, the time needed by the community partner might not be feasible for either students or professors because they have other academic and extracurricular commitments. But if the project is big enough and financial support is sufficient, the project or course could be offered more than one semester across multiple years (Matthew et al, 2017;Osborne et al, 2019;Pinnell et al, 2014).…”

Applying Artificial Intelligence to the Beer Game

“…To date, these efforts tend to be technology-focused with an emphasis on Internet-of-Things applications with limited attention to the AI and data-guided decision making. Outside of industrial engineering education, AI education for engineers is often promoted through extra-or cocurricular avenues including interdisciplinary research [25], service-learning [26]. These approaches often lack a focus on industrial engineering relevant business applications, and also have a limitation on the number of students that they can reach.…”