Decision making about complex socioscientific issues (SSI) involves recognizing and weighing tradeoffs among conflicting values and stakeholder outcomes. A vital but difficult practice, engaging in tradeoffs allows decision-makers to engage in perspective-taking, and also identify that not all their desired goals may be fulfilled by a policy.…

American higher education relies on a taxonomy of knowledge stemming from Puritan ways of thinking and knowing--a disciplinary classification system that sorts "questions asked" and "answers possible" into epistemic categories. This paper interrogates the notion of disciplinarity to better understand the arbitrariness of…

There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we…

Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…

The authors' aim was to present a practical decision-making framework for decision makers (DMs) to use in evaluating interdisciplinary strategic approaches to degree program development. A framework based on ordinal game theory was applied using a recent decision to create an interdisciplinary business analytics program at a small, public…

This study presents a structured hybrid framework integrating Design Thinking (DT), the Conceive-Design-Implement-Operate (CDIO) methodology, and Root Assessment (RA) to enhance project-based learning (PBL) in engineering education. The framework addresses limitations in conventional PBL by embedding iterative ideation, structured engineering…

In an increasingly data-driven society, making decisions with data is a requirement not only for research scientists but also for navigating life more generally (Kjelvik & Schultheis, 2019). An informed citizenry must be prepared to discover patterns, predict outcomes, make decisions with data, and evaluate data-based claims for legitimacy and…

The full implementation of MOOCs in online education offers new opportunities for integrating multidisciplinary and comprehensive STEM education. It facilitates the alignment between online learning content and learning behaviors. However, it also presents new challenges, such as a high rate of STEM dropouts. Many learners struggle to establish…

This research study makes a significant contribution to understanding the experiences of Native Hawaiian students in higher education and their college choice process. Research and literature focused on or inclusive of Native Hawaiians in higher education is scarce and limited (Reyes, 2018), so there is very little known about how Native Hawaiian…

Collaborative decision-making and shared responsibility across departments can be messy and time consuming. However, working collaboratively in a well-constructed cross-functional team (CFT) can create a culture of self-responsibility and accountability and improve institutional practices. The following paper will describe a successful model for…

Learning analytics dashboard (LAD) development has been criticized for being too data-driven and for developers lacking an understanding of the nontechnical aspects of learning analytics (LA). The ability of developers to address their understanding of learners as well as systematic efforts to involve students in the development process are…

A staff study (SS) is an administrative tool used for decision-making, involving comprehensive data gathering and analysis to resolve issues. Particularly crucial in military settings where classified information limits resources, staff studies also demonstrate their value in interdisciplinary academic fields. This article emphasizes the…

The ability to engage in informed decision-making about socioscientific issues (SSI) is an important aspect of scientific literacy. Although science knowledge and practice are necessary for developing solutions to SSI, additional skills are also needed to attend to the complex social, political, economic, and ethical concerns of such issues.…

Traditional reviews of arts education have focused on why the arts are valuable for learning, but the arts' contributions to cross-disciplinary discourse remain undertheorized. In this article, we provide a theoretical review of the arts and learning to suggest a new way of thinking about how the arts contribute to learning across disciplines…

Rational numbers (i.e., fractions, percentages, decimals, and whole-number frequencies) are notoriously difficult mathematical constructs. Yet correctly interpreting rational numbers is imperative for understanding health statistics, such as gauging the likelihood of side effects from a medication. Several pernicious biases affect health…