A Study on the Impact of Multidisciplinary Collaboration on Computational Thinking

This paper reports on a multi-semester study of the impact on student perceptions of their computational thinking abilities as a result of collaboration between students in computer science (CS) and journalism courses to solve a problem for a community partner, Habitat for Humanity. Interdisciplinary computing collaborations have become a popular mode of instruction in upper-level CS courses. In many cases, these collaborations have been with other STEM disciplines. However, there are non-STEM fields that have been transformed by computer science and can also serve as fruitful test beds for curricular innovation; journalism is one such field. In this study, undergraduate students in CS and journalism courses focused on creating a computational solution to address a real community need. The study investigates whether immersion in multidisciplinary collaborative experiences increases the computational thinking abilities of both CS and non-CS students. 41 CS students participated in the study alongside 96 students in a range of other STEM and non-STEM majors. Quantitative data were collected to gauge students' attainment of concepts and skills constitutive to computational thinking. Pre-test data indicate that CS students were no different from other STEM students in their own assessment of computational thinking and skills. Post-test data indicate that while all students made significant gains in self-assessment of skills and knowledge, CS majors fared significantly better than their peers. It is particularly noteworthy that CS majors' gains outpaced those of computer engineering majors. Further research is planned to gain additional insight into the possible reasons behind these results.

[1]  William Yurcik,et al.  Distributed expertise for teaching computer organization & architecture , 2001, SGCS.

[2]  Joanna Goode,et al.  Lost in Translation: Gender and High School Computer Science , 2006 .

[3]  T. Lethbridge,et al.  The Joint Task Force on Computing Curricula IEEE Computer Society Association for Computing Machinery , 2004 .

[4]  Denise E. Agosto Women and information technology: Research on underrepresentation , 2007, J. Assoc. Inf. Sci. Technol..

[5]  Clifton Kussmaul,et al.  Analysis of Active Learning Activities Transitions and Patterns in Process Oriented Guided Inquiry Learning (POGIL) , 2012, 2012 IEEE Fourth International Conference on Technology for Education.

[6]  R. Estrella,et al.  Stuck in the Shallow End Education , Race , and Computing , 2008 .

[7]  William Aspray,et al.  Women and Information Technology : Research on Underrepresentation , 2010 .

[8]  Christopher H. Brooks Community connections: lessons learned developing and maintaining a computer science service-learning program , 2008, SIGCSE '08.

[9]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[10]  Ursula Wolz,et al.  Problem solving in community: a necessary shift in cs pedagogy , 2008, SIGCSE '08.

[11]  Steve Harrison,et al.  A Distributed Expertise Model for Teaching Computing Across Disciplines and Institutions , 2010, FECS.

[12]  Mark Guzdial,et al.  Exploring hypotheses about media computation , 2013, ICER.

[13]  Jeannette M. Wing An introduction to computer science for non-majors using principles of computation , 2007, SIGCSE.

[14]  Helen H. Hu,et al.  Using POGIL to help students learn to program , 2013, TOCE.

[15]  Stoney Jackson,et al.  Learning within a professional environment: shared ownership of an HFOSS project , 2014, SIGITE '14.

[16]  Susan M. Haller,et al.  Gender differences in computer science students , 2003, SIGCSE.

[17]  Edward J. Mirielli,et al.  Student reflections on an academic service learning experience in a computer science classroom , 2007, SIGITE '07.

[18]  Catherine Good,et al.  When White Men Can't Do Math: Necessary and Sufficient Factors in Stereotype Threat , 1999 .

[19]  S. Spencer,et al.  Stereotype Threat and Women's Performance in Engineering , 2003 .

[20]  D. Chinn,et al.  Work in Progress: Adapting the Treisman Model to Computer Science , 2006, Proceedings. Frontiers in Education. 36th Annual Conference.

[21]  Chang Liu,et al.  Enriching software engineering courses with service-learning projects and the open-source approach , 2005, ICSE.

[22]  B. Millis Making the Most of College: Students Speak Their Minds , 2002 .

[23]  Allan Fisher,et al.  Unlocking the Clubhouse : Women in Computing by Allan Fisher , 2015 .