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A Comparative Analysis of Natural Language Processing Techniques for Analyzing Student Feedback about TA Support

Conference Session: DSA Technical Session 8
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Neha Kardam, University of Washington; Denise Wilson, University of Washington; Sep Makhsous, University of Washington
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

A Preference-Based Faculty-Assignment Tool for Course Scheduling Optimization

Conference Session: DSA Technical Session 4
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Sami Khorbotly, Valparaiso University; Daniel White, Valparaiso University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

An Interactive Platform for Team-based Learning Using Machine Learning Approach

Conference Session: DSA Technical Session 7
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Tony Maricic, New York University Tandon School of Engineering; Nisha Ramanna, New York University Tandon School of Engineering; Alison Reed, New York University Tandon School of Engineering; Rui Li, New York University; Jack Yang, New York University Tandon School of Engineering
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Application of Data Analysis and Visualization Tools for U.S. Renewable Solar Energy Generation, Its Sustainability Benefits, and Teaching In Engineering Curriculum

Conference Session: DSA Technical Session 2
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Ben D Radhakrishnan, National University; James Jay Jaurez, National University; Nelson Altamirano, National University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Assessing Chemical Engineering Students' Perspectives on Data Science and Its Integration in the Academic Curriculum: Implications for Industry Readiness

Conference Session: DSA Technical Session 1
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Betul Bilgin, The University of Illinois at Chicago; Naomi Groza, The University of Illinois at Chicago
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Evaluating Faculty Perceptions of Changes in Teaching and Students in Conjunction with the Extent of Compassionate Course Policies Post-Pandemic

Conference Session: Multidisciplinary Division Technical Session 11
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Jennifer R Brown, Montana State University, Bozeman; Leslie Hopkinson, West Virginia University; Saundra Duplicate Johnson Austin, University of South Florida; Sara E Wilson, The University of Kansas
Tagged Divisions: Multidisciplinary Engineering Division (MULTI)

Relevance Score: 2.3616326

Extra Credit Analysis of Undergraduate Engineering Students

Conference Session: DSA Technical Session 3
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Tushar Ojha, University of New Mexico; Don Hush, University of New Mexico
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

An Online Interdisciplinary Professional Master’s Program in Translational Data Analytics

Conference Session: DSA Technical Session 6
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Emily Nutwell, The Ohio State University; Thomas Bihari, The Ohio State University; Thomas Metzger, The Ohio State University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

A Hybrid Approach to Natural Language Processing for Analyzing Student Feedback about Faculty Support

Conference Session: DSA Technical Session 8
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Neha Kardam, University of Washington; Denise Wilson, University of Washington
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

A Qualitative Study of Engineers’ Perception of Variability as 'Error'

Conference Session: DSA Technical Session 2
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Emma Fox, Franklin W. Olin College of Engineering; Zachary del Rosario, Olin College of Engineering
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Effectiveness of a Semi-Mastery-Based Learning Course Design

Conference Session: DSA Technical Session 4
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Galen I. Papkov, Florida Gulf Coast University; Jiehong Liao, Florida Gulf Coast University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Enhancing Academic Pathways: A Data-Driven Approach to Reducing Curriculum Complexity and Improving Graduation Rates in Higher Education

Conference Session: DSA Technical Session 1
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Ahmad Slim, The University of Arizona; Gregory L. Heileman, The University of Arizona; Husain Al Yusuf, The University of Arizona; Yiming Zhang, The University of Arizona; Asma Wasfi; Mohammad Hayajneh; Bisni Fahad Mon, United Arab Emirates University; Ameer Slim, University of New Mexico
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Enhancing Chemistry Undergraduates’ Peer Learning Collaboration and Curiosity Through Hands on Pedagogy

Conference Session: Multidisciplinary Division Technical Session 11
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Temileye Omopariola Ibirinde, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Adebayo Iyanuoluwa Olude, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Niangoran Koissi, Morgan State University
Tagged Topics: Diversity
Tagged Divisions: Multidisciplinary Engineering Division (MULTI)

Relevance Score: 2.3616326

Data-Science Perceptions: A Textual Analysis of Reddit Posts from Non-Computing Engineers

Conference Session: DSA Technical Session 5
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Nicolas Leger, Florida International University; Maimuna Begum Kali, Florida International University; Stephanie Jill Lunn, Florida International University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Designing a Bioinstrumentation Lab for All Learners

Conference Session: ELOS Technical Session 3 - Diversity
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Hannah Rosene Conover Kimmel, University of Illinois at Urbana - Champaign; Maya Sri Miriyala, University of Illinois at Urbana - Champaign; Hanwen Liang, University of Illinois at Urbana - Champaign; Megha Agrawal, University of Illinois at Urbana - Champaign; Kaitlyn Tuvilleja, University of Illinois at Urbana - Champaign; Rebecca Marie Reck, University of Illinois at Urbana - Champaign
Tagged Topics: Diversity
Tagged Divisions: Experimentation and Laboratory-Oriented Studies Division (DELOS)

Relevance Score: 2.3616326

Continuous Speech Emotion Recognition from Audio Segments with Supervised Learning and Reinforcement Learning Approaches

Conference Session: DSA Technical Session 4
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Fengbo Ma, Northeastern University; Xuemin Jin, Northeastern University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Credit-Hour Analysis of Undergraduate Students Using Sequence Data

Conference Session: DSA Technical Session 3
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Tushar Ojha, University of New Mexico; Don Hush, University of New Mexico
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Developing an Instrument for Assessing Self-Efficacy Confidence in Data Science

Conference Session: DSA Technical Session 5
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Safia Malallah, Kansas State University; Ejiro U Osiobe, Baker University; Zahraa Marafie, Kuwait University; Patricia Henriquez-Coronel; Lior Shamir, Kansas State University; Ella Lucille Carlson, Kansas State University; Joshua Levi Weese, Kansas State University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

From Manual Coding to Machine Understanding: Students' Feedback Analysis

Conference Session: DSA Technical Session 7
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Abdulrahman Alsharif, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Role of Relevance in Professional Skills Application in Undergraduate Multi-Disciplinary Teams

Conference Session: Multidisciplinary Division Technical Session 11
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Monika Tomar, Purdue University; Carla B. Zoltowski, Purdue University, West Lafayette
Tagged Divisions: Multidisciplinary Engineering Division (MULTI)

Relevance Score: 2.3616326

Innovating Engineering Education Analysis through Creative Data Visualization

Conference Session: DSA Technical Session 3
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Aidan Kenny, Northeastern University; Andrew L Gillen, Northeastern University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Innovative Mobility Program Series for Asian Students' Equitable Learning Opportunities Through Interdisciplinary Methodologies

Conference Session: Multidisciplinary Division Technical Session 11
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Hiroyuki Ishizaki, Shibaura Institute of Technology; Maria Anityasari, Sepuluh Nopember Institute of Technology; Masaomi Kimura, Shibaura Institute of Technology; Faiqoh Agustin, University of Maryland, College Park
Tagged Topics: Diversity
Tagged Divisions: Multidisciplinary Engineering Division (MULTI)

Relevance Score: 2.3616326

Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security

Conference Session: DSA Technical Session 2
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Xiang Zhao, Alabama A&M University; Mebougna L. Drabo, Alabama A&M University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Integrating Data-Driven and Career Development Theory-Driven Approaches to Study High School Student Persistence in STEM Career Aspirations

Conference Session: DSA Technical Session 6
Collection: 2024 ASEE Annual Conference & Exposition
Authors: tonghui xu, University of Massachusetts, Lowell; Hsien-Yuan Hsu, University of Massachusetts, Lowell
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Investigating and predicting the Cognitive Fatigue Threshold as a Factor of Performance Reduction in Assessment

Conference Session: DSA Technical Session 8
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Amirreza Mehrabi, Purdue Engineering Education; Jason Morphew, Purdue University, West Lafayette
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Introducing Arduino to Mechatronics Engineering Students via Lab Activities and a Hands-On Signature-Thinking Course Project

Conference Session: ELOS Technical Session 3 - Diversity
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Lei Miao, Middle Tennessee State University
Tagged Topics: Diversity
Tagged Divisions: Experimentation and Laboratory-Oriented Studies Division (DELOS)

Relevance Score: 2.3616326

Let’s Get Physical: From Data Visualization to Data Physicalization

Conference Session: DSA Technical Session 6
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Marjan Eggermont, University of Calgary
Tagged Topics: Data Science & Analytics Constituent Committee (DSA), Diversity

Relevance Score: 2.3616326

Minimizing Curricular Complexity through Backwards Design

Conference Session: DSA Technical Session 1
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Gregory L. Heileman, The University of Arizona; Yiming Zhang, The University of Arizona
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Optimizing Transfer Pathways in Higher Education

Conference Session: DSA Technical Session 3
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Yiming Zhang, The University of Arizona; Gregory L. Heileman, The University of Arizona; Ahmad Slim, The University of Arizona; Husain Al Yusuf, The University of Arizona
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

Preparing Undergraduate Data Scientists for Success in the Workplace: Aligning Competencies with Job Requirements

Conference Session: DSA Technical Session 5
Collection: 2024 ASEE Annual Conference & Exposition
Authors: Duo Li, Shenyang Institute of Technology; Elizabeth Milonas, New York City College of Technology; Qiping Zhang, Long Island University
Tagged Topics: Data Science & Analytics Constituent Committee (DSA)

Relevance Score: 2.3616326

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Showing results for 2024 ASEE Annual Conference & Exposition only

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A Comparative Analysis of Natural Language Processing Techniques for Analyzing Student Feedback about TA Support

A Preference-Based Faculty-Assignment Tool for Course Scheduling Optimization

An Interactive Platform for Team-based Learning Using Machine Learning Approach

Application of Data Analysis and Visualization Tools for U.S. Renewable Solar Energy Generation, Its Sustainability Benefits, and Teaching In Engineering Curriculum

Assessing Chemical Engineering Students' Perspectives on Data Science and Its Integration in the Academic Curriculum: Implications for Industry Readiness

Evaluating Faculty Perceptions of Changes in Teaching and Students in Conjunction with the Extent of Compassionate Course Policies Post-Pandemic

Extra Credit Analysis of Undergraduate Engineering Students

An Online Interdisciplinary Professional Master’s Program in Translational Data Analytics

A Hybrid Approach to Natural Language Processing for Analyzing Student Feedback about Faculty Support

A Qualitative Study of Engineers’ Perception of Variability as 'Error'

Effectiveness of a Semi-Mastery-Based Learning Course Design

Enhancing Academic Pathways: A Data-Driven Approach to Reducing Curriculum Complexity and Improving Graduation Rates in Higher Education

Enhancing Chemistry Undergraduates’ Peer Learning Collaboration and Curiosity Through Hands on Pedagogy

Data-Science Perceptions: A Textual Analysis of Reddit Posts from Non-Computing Engineers

Designing a Bioinstrumentation Lab for All Learners

Continuous Speech Emotion Recognition from Audio Segments with Supervised Learning and Reinforcement Learning Approaches

Credit-Hour Analysis of Undergraduate Students Using Sequence Data

Developing an Instrument for Assessing Self-Efficacy Confidence in Data Science

From Manual Coding to Machine Understanding: Students' Feedback Analysis

Role of Relevance in Professional Skills Application in Undergraduate Multi-Disciplinary Teams

Innovating Engineering Education Analysis through Creative Data Visualization

Innovative Mobility Program Series for Asian Students' Equitable Learning Opportunities Through Interdisciplinary Methodologies

Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security

Integrating Data-Driven and Career Development Theory-Driven Approaches to Study High School Student Persistence in STEM Career Aspirations

Investigating and predicting the Cognitive Fatigue Threshold as a Factor of Performance Reduction in Assessment

Introducing Arduino to Mechatronics Engineering Students via Lab Activities and a Hands-On Signature-Thinking Course Project

Let’s Get Physical: From Data Visualization to Data Physicalization

Minimizing Curricular Complexity through Backwards Design

Optimizing Transfer Pathways in Higher Education

Preparing Undergraduate Data Scientists for Success in the Workplace: Aligning Competencies with Job Requirements