Institute for Future Intelligence (IFI)

Journal Papers

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

  1. Jiang, R., Ding, X., Bulseco, D., & Xie, C. (2023). Using Artificial Intelligence Teaching Assistants to Guide Students in Solar Energy Design During COVID, Journal of Geoscience Education
  2. Xie, C. (2023). Beyond Solar Cookers: Modeling and Designing Concentrated Solar Power as Engineering Projects in Physics Classrooms. The Physics Teacher
  3. Marzouk, O. A. (2022). Land-Use competitiveness of photovoltaic and concentrated solar power technologies near the Tropic of Cancer. Solar Energy, Vol. 243, pp. 103-119
  4. Sadatifar, S. & Johlin, E. (2022). Multi-objective optimization of building integrated photovoltaic solar shades. Solar Energy, Vol. 242, pp. 191-200
  5. Marzouk, O. A. (2022). Energy Generation Intensity (EGI) for Parabolic Dish/Engine Concentrated Solar Power in Muscat, Sultanate of Oman. IOP Conference Series: Earth and Environmental Science
  6. Marzouk, O. A. (2022). Tilt Sensitivity for a Scalable One-Hectare Photovoltaic Power Plant Composed of Parallel Racks in Muscat. Cogent Engineering, Vol. 9, Issue 1, Article: 2029243
  7. Purzer, S., Schimpf, C., Quintana-Cifuentes, J., Sereiviene, E., & Lingam, I. (2022). An Engineering Design Review Coaching Tool for Supporting Teacher Noticing and Scaffolding. The Science Teacher
  8. Sung, S., Jiang, R.D., Huang, X.D., & Xie, C. (2022). Solar Panels v. Trees: Broadening the Pathways of Engineering Education through Integration with Social Studies. Science Scope
  9. Singh, J., Perera, V., Magana, A.J., Newell, B., Wei-Kocsis, J., Seah, Y.Y., Strimel, G.J., & Xie, C. (2022). Using Machine Learning to Predict Engineering Technology Students' Success with Computer Aided Design, Computer Applications in Engineering Education, doi: 10.1002/cae.22489
  10. Esfandiari, M., Zaid, S.M., Ismail, M.A., Hafezi, M.R., Asadi, I., & Mohammadi, S. (2021). A Field Study on Thermal Comfort and Cooling Load Demand Optimization in a Tropical Climate. Sustainability, 13(22), 12425.
  11. Ogbikaya, S. & Iqbal, T. (2021). Design of a hybrid power system using Homer Pro and iHOGA. 30th IEEE NECEC Conference, November 18, 2021, St. John's, Newfoundland and Labrador.
  12. Perera, V., Strimel, G. J., & Magana, A. J. (2021). Using Aladdin as a Tool to Empower Engineering Learning. Technology and Engineering Teacher.
  13. Bordoloi, S. (2021). Simulation and Analysis of Green House Based Agri-Voltatic System Using Energy3D Software. ADBU-Journal of Engineering Technology. Vol. 10, Issue 3.
  14. С.Ю. Гриценко, Ю.А Зевина, И.М. Бородянский (2021). Анализ инсоляции при проектировании комплексов зданий. Инженерный вестник Дона. No. 6
  15. Goldstein M. H., Adams, R. S., & Purzer, S. (2021). Understanding Informed Design through Trade-Off Decisions With an Empirically-Based Protocol for Students and Design Educators. Journal of Pre-College Engineering Education Research. 11(2) doi:10.7771/2157-9288.1279
  16. McAlister, A. M., Bywater, J. P., & Chiu, J. L. (2021). Exploring experienced designers' strategies in a CAD learning environment. Computer Applications in Engineering Education. doi:10.1002/cae.22441
  17. Vijayan, R. A., Sivanarul, J., & Varadharajaperumal, M. (2021). Optimizing the Spectral Sharing in a Vertical Bifacial AgriVoltaics Farm. Journal of Physics D: Applied Physics. 54, 304004, doi:10.1088/1361-6463/abfbae
  18. Magana, A.J., Chiu, J., Seah, Y.Y., Bywater, J., Schimpf, C., Karabiyik, T., Rebello, S., & Xie, C. (2021). Classroom Orchestration of Computer Simulations for Science and Engineering Learning: A Cross-Case Study Approach. International Journal of Science Education. doi:10.1080/09500693.2021.1902589
  19. Dasgupta, C., Magana, A.J., & Kirkham, L. (2021). Investigating Teachers' Enactment of Engineering Design Practices in a CAD Simulation‐Enhanced Learning Environment. Computer Applications in Engineering Education. doi:10.1002/cae.22400
  20. Zhu, G., Zeng, Y., Xing, W., Du, H., & Xie, C. (2021). Reciprocal Relations between Students' Evaluation, Reformulation Behaviors and Engineering Design Performance Over Time. Journal of Science Education and Technology. doi:10.1007/s10956-021-09906-3
  21. Rahman, M. H., Xie, C., & Sha, Z. (2021). Predicting Sequential Design Decisions Using the Function-Behavior-Structure Design Process Model and Recurrent Neural Networks. Journal of Mechanical Design. doi:10.1115/1.4049971
  22. 武政孝治 & 松元良枝 (2020). Passive Design Toolとして使うEnergy3D. 環境工学. 巻号：2020, ページ：1337-1338, 年月次：2020-09
  23. حسين علي عبد الحسين (2020). تقييم كفاءة الطاقة المكتسبة بدلالة (حركة وثبات) واجهة الخلايا الشمسية وفقا للزوايا المحددة لموقع قرص الشمس في مدينة الديوانية (دراسة في المناخ التطبيقي). Journal of University of Babylon. Volume 28, Issue 1, Pages 88-120
  24. Li, S., Du, H., Xing, W., Zheng, J., Chen, G., & Xie, C. (2020). Examining Temporal Dynamics of Self-Regulated Learning Behaviors in STEM Learning: A Network Approach. Computers & Education. doi:10.1016/j.compedu.2020.103987
  25. Xing, W., Huang, X., Chao, J., Massicotte, J., & Xie, C. (2020). Automatic Assessment of Students’ Engineering Design Performance using a Bayesian Network Model. Journal of Educational Computing Research. doi:10.1177/0735633120960422
  26. 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. doi:10.1080/10494820.2020.1761837
  27. 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. doi:10.1017/dsj.2020.12
  28. Li, S., Chen, G., Xing, W., Zheng, J., & Xie, C. (2020). Longitudinal Clustering of Students' Self-regulated Learning Behaviors in Engineering Design. Computers & Education. doi:10.1016/j.compedu.2020.103899
  29. 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
  30. 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
  31. 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
  32. Magana, A. J., Elluri, S., Dasgupta, C., Seah, Y. Y., Madamanchi, A., & Boutin, M. (2019). The Role of Simulation-Enabled Design Learning Experiences on Middle School Students' Self-generated Inherence Heuristics. Journal of Science Education and Technology, 28, 382-398. doi:10.1007/s10956-019-09775-x
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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.
  38. 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.
  39. 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
  40. 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.
  41. 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.
  42. 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
  43. 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.
  44. 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.
  45. 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.
  46. Goldstein, M., Loy, B., & Purzer, S. (2017). Designing a Sustainable Neighborhood. Science Scope, September, 32-41.
  47. 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
  48. 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.
  49. 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.
  50. 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
  51. 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.
  52. 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.

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