Journal Papers

The following are journal papers published or to be published by our own group and others based on Energy3D (not limited to educational research).

  1. Rahman, M. H., Xie, C., & Sha, Z. (Submitted). A Deep Learning-Based Approach to Predicting Sequential Design Decisions. Journal of Mechanical Design
  2. Magana, A.J., Chiu, J., Seah, Y.Y., Bywater, J., Schimpf, C., Karabiyik, T., Rebello, S., & Xie, C. (Submitted). Classroom Orchestration of Computer Simulations for Science and Engineering Learning: A Multiple Case Study Approach. Computers & Education
  3. Li, S., Du, H., Xing, W., Zheng, J., Chen, G., & Xie, C. (Submitted). Examining Temporal Dynamics of Self-Regulated Learning Behaviors in STEM Learning: A Network Approach. Computers in Human Behavior
  4. Zhu, G., Zeng, Y., Xing, W., Du, H., & Xie, C. (Submitted). Reciprocal Relations between Students' Evaluation, Reformulation Behaviors and Engineering Design Performance Over Time. Computers & Education
  5. Li, S., Chen, G., Xing, W., Zheng, J., & Xie, C. (Second round review). Longitudinal Clustering of Students' Self-regulated Learning Behaviors in Engineering Design. Computers & Education
  6. Xing, W., Zhu, G., Popov, V., & Xie, C. (Second round review). Evidence of Informed Design on Deepening Science and Engineering Learning. Learning & Instruction
  7. Zheng, J., Xing, W., Huang, X., Li, S., Chen, G., & Xie, C. (2020). The Role of Self-Regulated Learning on Science and Design Knowledge Gains in Engineering Projects. Interactive Learning Environments
  8. Rahman, M. H., Yuan, S., Xie, C., & Sha, Z. (2020). Predict Human Design Decisions with Deep Recurrent Neural Network Combining Static and Dynamic Data. Design Science
  9. Xing, W., Pei, B., Li, S., Chen, G., & Xie, C. (2020). Using Learning Analytics to Support Students' Engineering Design: The Angle of Prediction. Interactive Learning Environments. doi:10.1080/10494820.2019.1680391
  10. Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H. & Xie, C. (2019). Profiling Self-Regulation Behaviors in STEM Learning of Engineering Design, Computers & Education. doi:10.1016/j.compedu.2019.103669
  11. Rahman, M. H., Schimpf, C., Xie, C., & Sha, Z. (2019) A Computer-Aided Design Based Research Platform for Data-Driven Design Thinking Studies. Journal of Mechanical Design. doi:10.1115/1.4044395
  12. Magana, A. J., Elluri, S., Dasgupta, C., Seah, Y. Y., Madamanchi, A., & Boutin, M. (2019). The role of computer-based and teacher feedback on middle school students' self-generated heuristics in the context of a design challenge. Journal of Science Education and Technology
  13. Goldstein, M. H., Purzer, S., Adams, R. S., Chao, J., & Xie, C. (2019). The relationship between design reflectivity and conceptions of informed design among high school students. European Journal of Engineering Education, 44(1-2), 123-136. doi:10.1080/03043797.2018.1498458
  14. Seah, Y. Y. & Magana, A. J. (2019). Exploring students' experimentation strategies in engineering design using an educational CAD tool. Journal of Science Education and Technology, 28(3), 195-208. DOI: 10.1007/s10956-018-9757-x
  15. Dasgupta, C., Magana, A. J., & Vieira, C. (2019). Investigating the affordances of a CAD enabled learning environment for promoting integrated STEM learning. Computers & Education, 129, p. 122-142. DOI: 10.1016/j.compedu.2018.10.014
  16. Gajewski, R. R. & Kulakowski, T. (2018). Towards Optimal Design of Energy Efficient Buildings. Archives of Civil Engineering, LXIV(4), 135-153. DOI: 10.2478/ace-2018-0067
  17. Xie, C., Schimpf, C., Chao, J., Nourian, S., & Massicotte, J. (2018). Learning Engineering Design through Modeling and Simulation on a CAD Platform. Computer Applications in Engineering Education, 26(4), 824-840.
  18. Chao, J., Xie, C., Massicotte, J., Schimpf, C., Lockwood, J., Huang, X., & Beaulieu, C. (2018). Solarize Your School: A Solar Energy System Design Challenge. The Science Teacher, 86(4), 40-47.
  19. Goldstein, M., Adams, R. S., & Purzer, S. (2018). Investigating middle-school students' conceptions of trade-off conceptions in design. International Journal of Engineering Education, 34(2B), 609-618
  20. Goldstein, M., Omar, S. A., Purzer, S., & Adams, R. S. (2018). Comparing Two Approaches to Engineering Design in the 7th Grade Science Classroom. International Journal of Education in Mathematics, Science and Technology, 6(4), 381-397.
  21. Vieira, C., Seah, Y. Y., & Magana, A. J. (2018). Students' Experimentation Strategies in Design: Is process data enough? Computer Applications in Engineering Education, 26(5), p. 1903-1914. DOI: 10.1002/cae.22025.
  22. Taleyarkhan, M., Dasgupta, C., Mendoza, J., & Magana, A. J. (2018). Investigating the impact of using a CAD simulation tool on students' learning of design thinking. Journal of Science Education and Technology, 27(4), 334-347. 2018. DOI: 10.1007/s10956-018-9727-3
  23. Zhang, H. Z., Xie, C., & Nourian, S. (2018). Are Their Designs Iterative or Fixated? Investigating Design Patterns from Student Digital Footprints in Computer-Aided Design Software. International Journal of Technology and Design Education, 28(3), 819-841.
  24. Hussein, E. A. A. & Iqbal, M. T. (2017). Design of Renewable Energy System for a Mobile Hospital in Libya. Journal of Clean Energy Technologies, 5(6), 492-495.
  25. Chao, J., Xie, C., Nourian, S., Chen, G., Bailey, S., Goldstein, M. H., Purzer, S., Adams, R. S., & Tutwiler, M. S. (2017). Bridging the Design-Science Gap with Tools: Science Learning and Design Behaviors in a Simulated Environment for Engineering Design. Journal of Research in Science Teaching, 54(8), 1049-1096.
  26. Goldstein, M., Loy, B., & Purzer, S. (2017). Designing a Sustainable Neighborhood. Science Scope, September, 32-41.
  27. Hatherly, A. (2017). Teaching Building Science with Simulations. Community College Journal of Research and Practice, 41(6), 363-365. doi:10.1080/10668926.2016.1268079
  28. Vieira, C., Goldstein, M. H., Purzer, S., & Magana, A. J. (2016). Using Learning Analytics to Characterize Student Experimentation Strategies in the Context of Engineering Design. Journal of Learning Analytics, v.3, 2016, p. 291-317.
  29. Vieira, C., Aguas, R., Purzer, S., Goldstein, M. H., & Magana, A. J. (2016). Introducing Engineering Design Process into Colombian Engineering Programs. International Journal of Engineering Education, v.32, 2016, p. 1-13.
  30. Purzer, S., Goldstein, M., Adams, R. S., Xie, C., & Nourian, S. (2015). An exploratory study of informed engineering design behaviors associated with scientific explanations. International Journal of STEM Education, 2:9. DOI: 10.1186/s40594-015-0019-7
  31. Xie, C., Zhang, Z., Nourian, S., Pallant, A., & Bailey, S. (2014). On the Instructional Sensitivity of CAD Logs. International Journal of Engineering Education, 30(4), 760-778.
  32. Xie, C., Zhang, Z., Nourian, S., Pallant, A., & Hazzard, E. (2014). A Time Series Analysis Method for Assessing Engineering Design Processes Using a CAD Tool. International Journal of Engineering Education, 30(1), 218-230.

Dissertations

Energy3D has also been used as a design and simulation tool in the following dissertations:

  1. Molly Hathaway Goldstein. (2018) Characterizing Trade-Off Decisions in Student Designer. Purdue University
  2. Monica Mercedes Sanchez. (2017) Kinetic Green Wall System Applications on Reducing Carbon Emissions in Hot-Arid Climates. Arizona State University
  3. Sindhura Elluri. (2017) A Machine Learning Approach for Identifying the Effectiveness of Simulation Tools for Conceptual Understanding. Purdue University
  4. BAAH Al-Jashaami. (2017) A Survey of Solar Heating Installations for Residential Use. Politechnika Warszawska
  5. Emadeddin A. A. Hussein. (2017) Design of renewable energy system for a mobile office/hospital in an isolated rural area. Memorial University of Newfoundland
  6. Gamal Ali Alamri. (2017) Design and analysis of a net-zero energy house and its power system for Libya. Memorial University of Newfoundland


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