Work in progress - Using a computer gaming strategy to facilitate undergraduates' learning in a computer programming course: An experimental study. - Kuo-Chuan (Martin) Yeh; Wei-Fan Chen 002 (FIE, 2011)

Teaching computational thinking to non-computing majors using spreadsheet functions. - Kuo-Chuan (Martin) Yeh; Ying Xie; Fengfeng Ke (FIE, 2011)

Modeling Pharmacokinetics and Pharmacodynamics on a Mobile Device to Help Caffeine Users. - Frank E. Ritter; Kuo-Chuan (Martin) Yeh (HCI (20), 2011)

Cultural Effects on Perceptions of Unauthorized Software Copying. - Pei-Hsuan Hsieh; Kuo-Chuan (Martin) Yeh (J. Comput. Inf. Syst., 2012)

It's the psychology stupid: how heuristics explain software vulnerabilities and how priming can illuminate developer's blind spots. - Daniela Oliveira 001; Marissa Rosenthal; Nicole Morin; Kuo-Chuan (Martin) Yeh; Justin Cappos; Yanyan Zhuang (ACSAC, 2014)

Vulnerabilities as Blind Spots in Developer's Heuristic-Based Decision-Making Processes. - Justin Cappos; Yanyan Zhuang; Daniela Oliveira 001; Marissa Rosenthal; Kuo-Chuan (Martin) Yeh (NSPW, 2014)

Using spaced repetition and gamification to enhance K-12 student science literacy with on-demand mobile short reads. - Martin K.-C. Yeh; Abtin Toshtzar; Laura A. Guertin; Yu Yan (FIE, 2016)

Detecting and comparing brain activity in short program comprehension using EEG. - Martin K.-C. Yeh; Dan Gopstein; Yu Yan; Yanyan Zhuang (FIE, 2017)

Understanding misunderstandings in source code. - Dan Gopstein; Jake Iannacone; Yu Yan; Lois DeLong; Yanyan Zhuang; Martin K.-C. Yeh; Justin Cappos (ESEC/SIGSOFT FSE, 2017)

Rough Sets: Visually Discerning Neurological Functionality During Thought Processes. - Rory A. Lewis; Chad A. Mello; Yanyan Zhuang; Martin K.-C. Yeh; Yu Yan; Dan Gopstein (ISMIS, 2018)

The Effect of Motivation on Learners' Performance and Satisfaction under Flipped Strategy in Discrete Math. - Martin K.-C. Yeh; Pei-Hsuan Lin; Nannette D'Imperio (FIE, 2020)

Teaching computer programming to science majors by modelling. - Yu-Tzu Lin; Martin K.-C. Yeh; Hsin-Ling Hsieh (Comput. Appl. Eng. Educ., 2021)

Learning From Doing: Lessons Learned From Designing and Developing an Educational Software Within a Heterogeneous Group. - Nicole Wang-Trexler; Martin K.-C. Yeh; William C. Diehl; Rebecca E. Heiser; Andrea Gregg; Ling Tran; Chenyang Zhu 001 (Int. J. Web Based Learn. Teach. Technol., 2021)

Identifying program confusion using electroencephalogram measurements. - Martin K.-C. Yeh; Yu Yan; Yanyan Zhuang; Lois Anne DeLong (Behav. Inf. Technol., 2022)

Teaching Programming by Revealing Thinking Process: Watching Experts' Live Coding Videos With Reflection Annotations. - Yu-Tzu Lin; Martin K.-C. Yeh; Sheng-Rong Tan (IEEE Trans. Educ., 2022)

The Effect of Task Fidelity on Learning Curves: A Synthetic Analysis. - Frank E. Ritter; Martin K.-C. Yeh; Sarah J. Stager; Ashley F. McDermott; Peter Weyhrauch (Int. J. Hum. Comput. Interact., 2023)

Do developer perceptions have borders? Comparing C code responses across continents. - Yanyan Zhuang; Yu Yan; Lois Anne DeLong; Kuo-Chuan (Martin) Yeh (Softw. Qual. J., 2024)

"C"ing the light - assessing code comprehension in novice programmers using C code patterns. - Christina Glasauer; Martin K.-C. Yeh; Lois Anne DeLong; Yu Yan; Yanyan Zhuang (Comput. Sci. Educ., 2025)