"I just Google It": A qualitative study of information strategies in problem solving used by upper and lower level engineering students. - Kerrie Anna Douglas; Connor Rohan; Michael Fosmire; Casey Smith; Amy S. Van Epps; Senay Purzer (FIE, 2014)

First-year engineering students' nanotechnology awareness, exposure and motivation before and after educational interventions. - Oguz Hanoglu; Kerrie Anna Douglas; Krishna Madhavan; Heidi A. Diefes-Dux (FIE, 2014)

Development and validation of a Nano Size and Scale Instrument (NSSI). - Yi Kong; Heidi A. Diefes-Dux; Kelsey Joy Rodgers; Kerrie Anna Douglas; Krishna Madhavan (FIE, 2014)

A self-assessment instrument to assess engineering students' self-directedness in information literacy. - Kerrie Anna Douglas; Todd Fernandez; Senay Purzer; Michael J. Fosmire; Amy S. Van Epps (FIE, 2015)

Assessing idea fluency through the student design process. - Molly Hathaway Goldstein; Senay Purzer; Camilo Vieira Mejía; Mitch Zielinski; Kerrie Anna Douglas (FIE, 2015)

Integrating analytics and surveys to understand fully engaged learners in a highly-technical STEM MOOC. - Nathan M. Hicks; Doipayan Roy; Siddharth Shah; Kerrie Anna Douglas; Peter Bermel; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2016)

Surveying the motivations of groups of learners in highly-technical STEM MOOCs. - Brittany Mihalec-Adkins; Nathan M. Hicks; Kerrie Anna Douglas; Heidi A. Diefes-Dux; Peter Bermel; Krishna Madhavan (FIE, 2016)

Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course. - Kerrie Anna Douglas; Peter Bermel; Md Monzurul Alam; Krishna Madhavan (J. Learn. Anal., 2016)

Using pre-course survey responses to predict sporadic learner behaviors in advanced STEM MOOCs work-in-progress. - Harsh Wardhan Aggarwal; Peter Bermel; Nathan M. Hicks; Kerrie Anna Douglas; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2017)

Instructor outcomes of teaching a STEM MOOC. - Mitchell Zelinski; Nathan M. Hicks; Su Wang; Kerrie Anna Douglas; Peter Bermel; Heidi A. Diefes-Dux; Krishna Madhavan (FIE, 2017)

Understanding Learners' Opinion about Participation Certificates in Online Courses using Topic Modeling. - Gaurav Nanda; Nathan M. Hicks; David R. Waller; Kerrie Anna Douglas; Dan Goldwasser (EDM, 2018)

Comparison of Live, Late and Archived Mode Learner Behavior in an Advanced Engineering MOOC. - Kerrie Anna Douglas; Harsh Wardhan Aggarwal; Taylor V. Williams; Yichen Fan; Peter Bermel (FIE, 2018)

Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts. - Gaurav Nanda; Kerrie Anna Douglas (EDM, 2019)

Engineering Ph.D. Students' Research Experiences: A Think-Aloud Study. - Eric A. Holloway; Kerrie A. Douglas; David Radcliffe (FIE, 2019)

Assessing Students' Understanding of Solid-State Electronics in the First Introductory-Level ECE Course. - Rene Alexander Soto-Perez; Alden Fisher; Kerrie Anna Douglas; Dimitrios Peroulis (FIE, 2019)

Applying Social Constructivism in Model-based Systems Engineering Online Instructional Module for Engineering Professionals. - Tiantian Li; Kerrie A. Douglas; Ha Phuong Le; Ali K. Raz; Wan Ju Huang; Audeen W. Fentiman (FIE, 2020)

Surveying Motivation and Learning Outcomes of Advanced Learners in Online Engineering Graduate MOOCs. - Hillary E. Merzdorf; Kerrie Anna Douglas (FIE, 2020)

Challenges to assessing motivation in MOOC learners: An application of an argument-based approach. - Kerrie Anna Douglas; Hillary E. Merzdorf; Nathan M. Hicks; Muhammad Ihsanulhaq Sarfraz; Peter Bermel (Comput. Educ., 2020)

Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. - Yun-Wei Chu; Elizabeth Tenorio; Laura M. Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (IEEE BigData, 2021)

A Metalearning Approach to Personalized Automatic Assessment of Rectilinear Sketches. - Laura Melissa Cruz Castro; Samantha Ray; Hillary E. Merzdorf; Kerrie A. Douglas; Tracy Hammond (FIE, 2021)

Relationship between learning engagement metrics and learning outcomes in online engineering course. - Tiantian Li; Laura Melissa Cruz Castro; Kerrie A. Douglas; Christopher G. Brinton (FIE, 2021)

Sketching Assessment in Engineering Education: A Systematic Literature Review. - Hillary E. Merzdorf; Morgan B. Weaver; Donna Jaison; Tracy Hammond; Julie Linsey; Kerrie A. Douglas (FIE, 2021)

Analyzing Students' Computational Thinking Practices in a First-Year Engineering Course. - Laura M. Cruz Castro; Alejandra J. Magana; Kerrie A. Douglas; Mireille Boutin (IEEE Access, 2021)

Analyzing Large Collections of Open-Ended Feedback From MOOC Learners Using LDA Topic Modeling and Qualitative Analysis. - Gaurav Nanda; Kerrie A. Douglas; David R. Waller; Hillary E. Merzdorf; Dan Goldwasser (IEEE Trans. Learn. Technol., 2021)

Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura M. Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (CIKM, 2022)

The Assessment Dilemma: Examining our practices through the lens of equity and fairness. - Kerrie A. Douglas; Kelly J. Cross; Senay Purzer (FIE, 2022)

WIP Teaching Engineers to Sketch: Impacts of Feedback from an Intelligent Tutoring Software on Engineers' Sketching Skill Development. - Donna Jaison; Morgan B. Weaver; Samantha Ray; Hillary E. Merzdorf; Kerrie A. Douglas; Vinayak R. Krishnamurthy; Julie Linsey; Karan L. Watson; Tracy Hammond (FIE, 2022)

Professional Skill Opportunities Survey: Development and Exploratory Factor Analysis. - Tiantian Li; Eric A. Holloway; Victoria G. Bill; Kerrie A. Douglas; Julie P. Martin (FIE, 2022)

Work In Progress: An Object Assembly Test of Sketching in Undergraduate Engineering. - Hillary E. Merzdorf; Donna Jaison; Morgan B. Weaver; Julie Linsey; Tracy Hammond; Kerrie A. Douglas (FIE, 2022)

Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance. - Serena Nicoll; Kerrie A. Douglas; Christopher G. Brinton (LAK, 2022)

How engineering instructors supported students during emergency remote instruction: A case comparison. - Kerrie A. Douglas; Amanda C. Johnston; Julie P. Martin; Taylor Short; Rene Alexander Soto-Perez (Comput. Appl. Eng. Educ., 2022)

Promoting Student Support in an Online Fundamental of Electronics Course. - Amanda C. Emberley; Kerrie A. Douglas; Julie P. Martin; Taylor Short; Rene Alexander Soto-Perez (IEEE Trans. Educ., 2022)

Expert Feedback on Engineering Sketching Skills for Object Assembly Tasks. - Hillary E. Merzdorf; Donna Jaison; Tracy Hammond; Julie Linsey; Kerrie A. Douglas (FIE, 2023)

Learning MBSE Online: A Tale of Two Professional Cohorts. - Tiantian Li; Leonardo Pollettini Marcos; Wan Ju Huang; C. Robert Kenley; Kerrie A. Douglas; Emilee A. Madsen; Audeen W. Fentiman (Syst., 2023)

Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. - Rajeev Sahay; Serena Nicoll; Minjun Zhang; Tsung-Yen Yang; Carlee Joe-Wong; Kerrie A. Douglas; Christopher G. Brinton (IEEE/ACM Trans. Netw., 2023)

Assessing Work-Integrated Learning Program Students' Sources of Career Development: A Validation Study. - Adrian Gentry; Eric A. Holloway; Kerrie A. Douglas (FIE, 2024)

Financial Benefit of Workforce Development Projects in Engineering: Using Return on Investment (ROI) and Key Performance Indices (KPI) for Evaluation. - Thomas L. McKinley; Kerrie A. Douglas; Peter Bermel (FIE, 2024)

WIP: Microelectronic Integration in First Year Engineering Education Curriculum for SCALE. - Artre R. Turner; Ben A. Tanay; Kerrie A. Douglas; Melissa A. Dyehouse; Jason W. Morphew (FIE, 2024)

Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. - Yun-Wei Chu; Seyyedali Hosseinalipour; Elizabeth Tenorio; Laura Melissa Cruz Castro; Kerrie A. Douglas; Andrew S. Lan; Christopher G. Brinton (IEEE Trans. Emerg. Top. Comput., 2025)