This article presents the design of a pedagogical method to produce interactive learning objects that allow users to learn about new statistical process control techniques, such as Data Mining, in order to address the curricular needs of college students enrolled in academic programs related to quality engineering. Acquiring skills in this type of…

Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…

This article describes experiences with teaching process data analytics and machine learning, including in: (1) a joint undergraduate/graduate course for students in chemical and mechanical engineering and engineering management; and (2) an undergraduate chemical engineering concentration in process data analytics. The article also describes…

With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…

MATLAB live scripts are useful for reproducible programmatic compilation of chemical data and literature. In this article, we use a combination of the PubChem PUG REST Application Programming Interface (API), Structured Data Query (SDQ) agent, and text extraction with MATLAB live scripts that allow programmatic PubChem similarity searching, SMARTS…

Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…

Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide…

Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…

This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…

Armed with this guide's strategies and concrete examples, subject librarians, data services librarians, and scholarly communication librarians will be inspired to roll up their sleeves and get involved with teaching research data management competencies to students and faculty. The usefulness of research data management skills bridges numerous…

This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…

Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…

This research developed an approach to integrate the complementary benefits of digitized assessments and peer learning. Its basic premise and associated hypotheses are that by using student assessments of correct and incorrect quiz answers using a fine-grained resolution to pair them into remediation peer-learning cohorts is an effective means of…

This profile describes the AIChE Concept Warehouse (CW) website, a community developed, web-based tool to decrease instructional barriers and to help faculty implement concept-based active learning in class. The CW provides three distinct but complementary functions: (a) a content repository, (b) an audience response system and learning management…

This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to student success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics…