Investigation of the Physical Computing in Computational Thinking Practices, Computer Programming Concepts and Self-Efficacy for Crosscutting Ideas in STEM Content Environments
 NGSS, “A Framework for K-12 Science Education Practices, Crosscutting Concepts, and Core Ideas”. Washington, DC: The National Academies Press, 2012.
 Psycharis, S. Computational Thinking, Engineering Epistemology and STEM Epistemology: A primary approach to Computational Pedagogy. International Conference on Interactive Collaborative Learning, ICL 2018: The Challenges of the Digital Transformation in Education pp 689-698 https://link.springer.com/chapter/10.1007/978-3-030-11935-5_65
 J. Wing, “Research Notebook: Computational Thinking--What and Why?”, 2011, March 6,. (J. Togyer, Ed.) The Link Magazine. Retrieved March 29, 2016, from http://www.cs.cmu.edu/link/researchnotebook-computational-thinking-what-and-why.
 J. L. Weese, R. Feldhausen, and N.H. Bean, “The Impact of STEM Experiences on Student Self-Efficacy in Computational Thinking,” Proceedings of the 123rd American Society for Engineering Education Annual Conference and Exposition (ASEE 2016). New Orleans, LA, USA.
 K. Shirey, “Teacher Productive Resources for Engineering Design Integration in High School Physics Instruction (Fundamental)”. In Proceedings of the 2017 ASEE Annual Conference, Columbus, OH, June 2017.
 A. Rugarcia, R.M. Felder, D.R. Woods and J.E. Stice, “The future of engineering education: I. A vision for a new century”. Chemical Engineering Education. 34, 16–25. 2000.
 L. Katehi, G. Pearson and M. Feder, “Engineering in K-12 education: Understanding the status and improving the prospects”. Washington, DC: National Academy of Engineering and National Research Council. 2009.
 National Academy of Engineering (NAE) & National Research Council (NRC). (2014). STEM integration in K-12 education: status, prospects, and an agenda for research. The National Academies Press, Washington.
 D. Weintrop, E. Beheshti, M. Horn, K. Orton, K. Jona, L. Trouille and U. Wilensky, “Defining Computational Thinking for Mathematics and Science Classrooms”. Journal of Science Education and Technology, 2016, 25(1), 127-147. DOI: 10.1007/s10956-015-9581-5.
 A . Burrows and T. Slater, “A proposed integrated STEM framework for contemporary teacher preparation,” Teacher Education and Practice, 28(2/3), 2015, pp. 318–330.
 TJ. Moore, MS. Stohlmann, HH. Wang, KM. Tank, A. Glancy and RH. Roehrig, “Implementation and integration of engineering in K-12 STEM education.” In JStrobel, S Purzer, M Cardella (Eds.), Engineering in precollege settings: Researchinto practice, 2014, (pp. 35–59). West Lafayette: Purdue University Press.
 T. J. Moore, “STEM integration: Crossing disciplinary borders to promote learning and engagement”. Invited presentation to the faculty and graduate students of the UTeach Engineering, UTeach Natural Sciences, and STEM Education program area at University of Texas at Austin, December 15, 2008.
 S. Libow Martinez and G. Stager, “Invent to Learn - Making, Tinkering, and Engineering in the Classroom,” Torrance CA: Constructing Modern Knowledge Press. 2013.
 S. Schulz and N. Pinkwart, “Physical computing in stem education”. In Proceedings of the Workshop in Primary and Secondary Computing Education (pp.134-135). ACM.November2015.
 M. Przybylla, and R. Romeike, “Physical computing and its scope-towards a constructionist computer science curriculum with physical computing”. Informatics in Education, 13(2), 225. 2014.
 R. Taub, M.Armoni and M. Ben-Ari, M. “The Contribution of Computer Science to Learning Computational Physics”. In I. Diethelm & R. Mittermeir (Eds.), Informatics in Schools. Sustainable Informatics Education for Pupils of all Ages (Vol. 7780, pp. 127-137): Springer Berlin Heidelberg. 2013.
 O. Yasar, P. Veronesi, J. Maliekal, J. LittleL. S.E. Vattana and I.H. Yeter, “Computational Pedagogy Q Fostering a new method of teaching”. Presented at: ASEE Annual Conference and Exposition. Presented: June 2016. Project: SCOLLARCIT
 S. Psycharis and Kalia, M. “The Effects of Computer Programming on high school students' problem solving, reasoning skills and self-efficacy in Mathematics”; Instructional Science, 45(5), 2017, 583-602 10.1007/s11251-017-9421-5,
 S. Psycharis. “STEAM in Education: A Literature review on the role of Computational Thinking, Engineering Epistemology and Computational Science. Computational STEAM Pedagogy (CSP)” 2018. Scientific Culture, Vol.4, No.2, 51-72. https://sci-cult.com
 Bundy, “Computational Thinking is Pervasive”. Journal of Scientific and Practical Computing, 1(2), pp.67-69. 2007.
 T. Bell, D. Urhahne, D., S. Schanze and R. Ploetzner, “Collaborative inquiry learning: models, tools and challenges”. International Journal of Science Education,2010, 32(3), pp. 349-377
 L. D. Asay and M.K. Orgill, “Analysis of essential features of inquiry found in articles published in The Science Teacher”, 1998-2007. Journal of Science Teacher Education, 2010, 21, pp. 57-79.
 S. Psycharis, K Kalovrektis, E. Sakelalridi, K Korres and D. Mastorodimos. Unfolding the Curriculum: Physical Computing, Computational Thinking and Computational Experiment in STEM’s Transdisciplinary Approach. European Journal of Engineering Research and Science (EJERS) http://www.ejers.org/index.php/ejers/article/view/639/
 B.A. Weinberg, B.“A model of over-confidence”. Pacific Economic Review, 14, 502–515. 2009
 J. M.Greenwald, “Antecedents of core confidence latent construct: Direct and reciprocal links”. Dissertation Abstracts International Section A, 72,270. 2010.
 O.Kormaz and H. Altun, “Adapting Computer Programming Self-Efficacy Scale and Engineering Students’ Self-Efficacy Perceptions”. Participatory Educational research, PER, Vol 1(1), pp2-31,June 2014
 K., Jona,, U. Wilensky., L Trouille, M. S., Horn, K. Orton,, D., Weintrop & E. Beheshti, (2014). “Embedding computational thinking in science, technology, engineering, and math (CT-STEM). In future directions in computer science education summit meeting, Orlando, FL”.
 S. Chande (2015). “A Conceptual Framework for Computational Thinking as a Pedagogical Device. International Journal of Innovative Research in Computer and Communication Engineering” vol. 3, Issue 11, November 2015
 R. Mason and G. Cooper, “Mindrostrms Robots and the Application of Cognitive Load Theory in Introductory Programming”. Computer Science Education, 23(4), pp.296-314. 2013.