David Weintrop
Uri Wilensky
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Abstract
The number of students taking high school computer science classes is growing. Increasingly, these students are learning with graphical, block-based programming environments either in place of or prior to traditional text-based programming languages. Despite their growing use in formal settings, relatively little empirical work has been done to understand the impacts of using block-based programming environments in high school classrooms. In this article, we present the results of a 5-week, quasi-experimental study comparing isomorphic block-based and text-based programming environments in an introductory high school programming class. The findings from this study show students in both conditions improved their scores between pre- and postassessments; however, students in the blocks condition showed greater learning gains and a higher level of interest in future computing courses. Students in the text condition viewed their programming experience as more similar to what professional programmers do and as more effective at improving their programming ability. No difference was found between students in the two conditions with respect to confidence or enjoyment. The implications of these findings with respect to pedagogy and design are discussed, along with directions for future work.
- H. Abelson and A. A. DiSessa. 1986. Turtle Geometry: The Computer as a Medium for Exploring Mathematics. MIT Press.Google Scholar
Cross Ref
- M. Armoni and M. Ben-Ari. 2010. Computer Science Concepts in Scratch. Rehovot, Israel: Weizmann Institute of Science.Google Scholar
- M. Armoni, O. Meerbaum-Salant, and M. Ben-Ari. 2015. From scratch to “real” programming. ACM Trans. Comput. Educ. TOCE 14, 4 (2015), 25:1--15.Google Scholar
- O. Astrachan and A. Briggs. 2012. The CS principles project. ACM Inroads 3, 2 (2012), 38--42. Google ScholarDigital Library
- D. Bau, D. A. Bau, M. Dawson, and C. S. Pickens. 2015. Pencil code: Block code for a text world. In Proceedings of the 14th International Conference on Interaction Design and Children (IDC’15). New York: ACM, 445--448. Google ScholarDigital Library
- D. Bau. 2015. Droplet, a blocks-based editor for text code. J. Comput. Sci. Coll. 30, 6 (2015), 138--144.Google ScholarDigital Library
- A. Begel. 1996. LogoBlocks: A Graphical Programming Language for Interacting with the World. Cambridge, MA: Electrical Engineering and Computer Science Department, MIT.Google Scholar
- A. Begel and E. Klopfer. 2007. Starlogo TNG: An introduction to game development. J. E-Learn. (2007), 1--5.Google Scholar
- J. Bonar and B. W. Liffick. 1987. A visual programming language for novices. In S. K. Chang, ed. Principles of Visual Programming Systems. Prentice-Hall. Google ScholarCross Ref
- P. Bontá, A. Papert, and B. Silverman. 2010. Turtle, art, turtleart. In Proceedings of Constructionism 2010 Conference.Google Scholar
- N. C. C. Brown, M. Kolling, and A. Altadmri. 2015. Lack of keyboard support cripples block-based programming. In 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond). IEEE, 59--61.Google Scholar
- A. Bruckman, M. Biggers, B. Ericson, T. McKlin, J. Dimond, B. DiSalvo, M. Hewner, L. Ni, and S. Yardi. 2009. Georgia computes!: Improving the computing education pipeline. ACM SIGCSE Bull. 41, 1 (2009), 86--90. Google ScholarDigital Library
- S. Cooper, W. Dann, and R. Pausch. 2000. Alice: A 3-D tool for introductory programming concepts. J. Comput. Sci. Coll. 15, 5 (2000), 107--116.Google ScholarDigital Library
- W. Dann, S. Cooper, and B. Ericson. 2009. Exploring Wonderland: Java Programming Using Alice and Media Computation. Prentice Hall Press.Google ScholarDigital Library
- W. Dann, S. Cooper, and R. Pausch. 2011. Learning to Program with Alice. Prentice Hall Press.Google Scholar
- W. Dann, D. Cosgrove, D. Slater, D. Culyba, and S. Cooper. 2012. Mediated transfer: Alice 3 to Java. In Proceedings of the 43rd ACM Technical Symposium on Computer Science Education. ACM, 141--146. Google ScholarDigital Library
- E. W. Dijkstra. 1982. How do we tell truths that might hurt? In Selected Writings on Computing: A Personal Perspective. Springer, 129--131. Google ScholarCross Ref
- A. A. diSessa. 2000. Changing Minds: Computers, Learning, and Literacy, Cambridge, MA: MIT Press.Google Scholar
- V. Donzeau-Gouge, G. Huet, B. Lang, and G. Kahn. 1984. Programming environments based on structured editors: The MENTOR experience. In D. Barstow, H. E. Shrobe, and E. Sandewall, eds. Interactive Programming Environments. McGraw Hill.Google Scholar
- L. P. Flannery, B. Silverman, E. R. Kazakoff, M. U. Bers, P. Bontá, and M. Resnick. 2013. Designing ScratchJr: Support for early childhood learning through computer programming. In Proceedings of the 12th International Conference on Interaction Design and Children. ACM, 1--10. Google ScholarDigital Library
- D. Franklin, G. Skifstad, R. Rolock, I. Mehrotra, V. Ding, A. Hansen, D. Weintrop, and D Harlow. 2017. Using upper-elementary student performance to understand conceptual sequencing in a blocks-based curriculum. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE’17). New York: ACM, 231--236. Google ScholarDigital Library
- N. Fraser. 2015. Ten things we've learned from Blockly. In Proceedings of the 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond). 49--50. Google ScholarDigital Library
- D. Garcia, B. Harvey, and T. Barnes. 2015. The beauty and joy of computing. ACM Inroads 6, 4 (November 2015), 71--79. Google ScholarDigital Library
- J. Goode, G. Chapman, and J. Margolis. 2012. Beyond curriculum: The exploring computer science program. ACM Inroads 3, 2 (2012), 47--53. Google ScholarDigital Library
- S. Grover and S. Basu. 2017. Measuring student learning in introductory block-based programming: Examining misconceptions of loops, In Variables, and Boolean Logic. ACM Press, 267--272.Google Scholar
- S. Grover, R. Pea, and S. Cooper. 2015. Designing for deeper learning in a blended computer science course for middle school students. Comput. Sci. Educ. 25, 2 (April 2015), 199--237. Google ScholarCross Ref
- S. Grover, R. Pea, and S. Cooper. 2016. Factors influencing computer science learning in middle school. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education. ACM, 552--557. Google ScholarDigital Library
- D. Harlow, H. Dwyer, A. Hansen, A. Iveland, and D. Franklin. Accepted. Ecological design based research in computer science education: Affordances and effectivities for elementary school students. Cogn. Instr. (Accepted).Google Scholar
- B. Harvey. 1997. Computer Science Logo Style: Beyond Programming. MIT Press.Google Scholar
- B. Harvey and J. Mönig. 2010. Bringing “no ceiling” to Scratch: Can one language serve kids and computer scientists? In J. Clayson 8 I. Kalas, eds. Proceedings of Constructionism 2010 Conference. 1--10.Google Scholar
- C. Hill, H. Dwyer, T. Martinez, D. Harlow, and D. Franklin. 2015. Floors and flexibility: Designing a programming environment for 4th-6th grade classrooms. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education. ACM, 546--551. Google ScholarDigital Library
- M. Homer and J. Noble. 2014. Combining tiled and textual views of code. In IEEE Working Conference on Software Visualisation (VISSOFT’14). IEEE, 1--10. Google ScholarDigital Library
- M. S. Horn and U. Wilensky. 2012. NetTango: A mash-up of netlogo and tern. In When Systems Collide: Challenges and Opportunities in Learning Technology Mashups.Google Scholar
- K. Johnsgard and J. McDonald. 2008. Using Alice in overview courses to improve success rates in programming I. In IEEE 21st Conference on Software Engineering Education and Training, 2008 (CSEET’08). 129--136.Google Scholar
- J. Kaput, R. Noss, and C. Hoyles. 2002. Developing new notations for a learnable mathematics in the computational era. Handb. Int. Res. Math. Educ. (2002), 51--75.Google Scholar
- M. Kölling, N. C. C. Brown, and A. Altadmri. 2015. Frame-based editing: Easing the transition from blocks to text-based programming. In Proceedings of the Workshop in Primary and Secondary Computing Education (WiPSCE’15). New York: ACM, 29--38. Google ScholarDigital Library
- M. Kölling and F. McKay. 2016. Heuristic evaluation for novice programming systems. Trans. Comput. Educ. 16, 3 (June 2016), 12:1--12:30.Google ScholarDigital Library
- C. M. Lewis. 2010. How programming environment shapes perception, learning and goals: Logo vs. Scratch. In Proceedings of the 41st ACM Technical Symposium on Computer Science Education. 346--350. Google ScholarDigital Library
- D. J. Malan and H. H. Leitner. 2007. Scratch for budding computer scientists. ACM SIGCSE Bull. 39, 1 (2007), 223--227. Google ScholarDigital Library
- J. H. Maloney, K. Peppler, Y. Kafai, M. Resnick, and N. Rusk. 2008. Programming by choice: Urban youth learning programming with Scratch. ACM SIGCSE Bull. 40, 1 (2008), 367--371. Google ScholarDigital Library
- J. H. Maloney, M. Resnick, N. Rusk, B. Silverman, and E. Eastmond. 2010. The Scratch programming language and environment. ACM Trans. Comput. Educ. TOCE 10, 4 (2010), 16.Google ScholarDigital Library
- Y. Matsuzawa, T. Ohata, M. Sugiura, and S. Sakai. 2015. Language migration in non-CS introductory programming through mutual language translation environment. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education. ACM Press, 185--190. Google ScholarDigital Library
- O. Meerbaum-Salant, M. Armoni, and M. Ben-Ari. 2011. Habits of programming in scratch. In Proceedings of the 16th Annual Joint Conference on Innovation and Technology in Computer Science Education (ITiCSE’11). ACM, 168--172. Google ScholarDigital Library
- O. Meerbaum-Salant, M. Armoni, and M. M. Ben-Ari. 2010. Learning computer science concepts with Scratch. In Proceedings of the 6th International Workshop on Computing Education Research. 69--76. Google ScholarDigital Library
- J. Mönig, Y. Ohshima, and J. Maloney. 2015. Blocks at your fingertips: Blurring the line between blocks and text in GP. In 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond). 51--53.Google Scholar
- B. Moskal, D. Lurie, and S. Cooper. 2004. Evaluating the effectiveness of a new instructional approach. In Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education. 75--79. Google ScholarDigital Library
- P. Mullins, D. Whitfield, and M. Conlon. 2009. Using Alice 2.0 as a first language. J. Comput. Sci. Coll. 24, 3 (2009), 136--143.Google ScholarDigital Library
- S. Papert. 1980. Mindstorms: Children, Computers, and Powerful Ideas. New York: Basic Books.Google ScholarDigital Library
- T. W. Price and T. Barnes. 2015. Comparing textual and block interfaces in a novice programming environment. In Proceedings of the 11th Annual International Conference on International Computing 944 Education Research (ICER’15). New York. ACM Press, 91--99. Google ScholarDigital Library
- A. Repenning. 1993. Agentsheets: a tool for building domain-oriented visual programming environments. In Proceedings of the INTERACT’93 and CHI’93 Conference on Human Factors in Computing Systems. ACM, 142--143. Google ScholarDigital Library
- M. Resnick, B. Silverman, Y. Kafai, J. Maloney, A. Monroy-Hernández, N. Rusk, E. Eastmond, K. Brennan, A. Millner, E. Rosenbaum, and J. Silver. 2009. Scratch: Programming for all. Commun. ACM 52, 11 (November 2009), 60.Google ScholarDigital Library
- A. Robins, J. Rountree, and N. Rountree. 2003. Learning and teaching programming: A review and discussion. Comput. Sci. Educ. 13, 2 (2003), 137--172. Google ScholarCross Ref
- R. V. Roque. 2007. OpenBlocks: An Extendable Framework for Graphical Block Programming Systems. Master's Thesis. Massachusetts Institute of Technology.Google Scholar
- R. Benjamin Shapiro and M. Ahrens. 2016. Beyond blocks: Syntax and semantics. Commun. ACM 59, 5 (April 2016), 39--41. Google ScholarDigital Library
- B. L. Sherin. 2001. A comparison of programming languages and algebraic notation as expressive languages for physics. Int. J. Comput. Math. Learn. 6, 1 (2001), 1--61. Google ScholarCross Ref
- W. Slany. 2014. Tinkering with pocket code, a scratch-like programming app for your smartphone. In Proceedings of Constructionism 2014.Google Scholar
- N. Smith, C. Sutcliffe, and L. Sandvik. 2014. Code club: Bringing programming to UK primary schools through scratch. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE’14). New York: ACM, 517--522. Google ScholarDigital Library
- F. Swetz. 1989. Capitalism and Arithmetic: The New Math of the 15th Century, La Salle, IL: Open Court.Google Scholar
- B. Tangney, E. Oldham, C. Conneely, S. Barrett, and J. Lawlor. 2010. Pedagogy and processes for a computer programming outreach workshop—The bridge to college model. IEEE Trans. Educ. 53, 1 (2010), 53--60. Google ScholarDigital Library
- M. Tempel. 2013. Blocks programming. CSTA Voice 9, 1 (2013), 3--4.Google Scholar
- The Playful Invention Company. 2008. PicoBlocks. Playful Invention Company.Google Scholar
- A. Wagh and U. Wilensky. 2012. Evolution in blocks: Building models of evolution using blocks. In C. Kynigos, J. Clayson, and N. Yiannoutsou, eds. Proceedings of the Constructionism 2012 Conference.Google Scholar
- D. Weintrop. 2016. Modality Matters: Understanding the Effects of Programming Language Representation in High School Computer Science Classrooms. PhD Dissertation. Evanston, IL: Northwestern University.Google Scholar
- D. Weintrop and U. Wilensky. 2016. Bringing blocks-based programming into high school computer science classrooms. Paper presented at the Annual Meeting of the American Educational Research Association (AERA).Google Scholar
- D. Weintrop and U. Wilensky. 2012. RoboBuilder: A program-to-play constructionist video game. In C. Kynigos, J. Clayson, and N. Yiannoutsou, eds. Proceedings of the Constructionism 2012 Conference.Google Scholar
- D. Weintrop and U. Wilensky. 2015a. The challenges of studying blocks-based programming environments. In 2015 IEEE Blocks and Beyond Workshop (Blocks and Beyond). 5--7.Google Scholar
- D. Weintrop and U. Wilensky. 2015b. To block or not to block, that is the question: students’ perceptions of blocks-based programming. In Proceedings of the 14th International Conference on Interaction Design and Children (IDC’15). New York: ACM, 199--208. Google ScholarDigital Library
- D. Weintrop and U. Wilensky. 2015. Using commutative assessments to compare conceptual understanding in blocks-based and text-based programs. In Proceedings of the 11th Annual International Conference on International Computing Education Research (ICER’15). New York: ACM, 101--110. Google ScholarDigital Library
- U. Wilensky. 2001. Modeling nature's emergent patterns with multi-agent languages. In Proceedings of EuroLogo. 1--6.Google Scholar
- U. Wilensky. 2006. Complex systems and restructuration of scientific disciplines: Implications for learning, analysis of social systems, and educational policy. Paper presented at the Annual Meeting of the American Educational Research Association.Google Scholar
- U. Wilensky, C. E. Brady, and M. S. Horn. 2014. Fostering computational literacy in science classrooms. Commun. ACM 57, 8 (August 2014), 24--28. Google ScholarDigital Library
- U. Wilensky and S. Papert. 2010. Restructurations: Reformulating knowledge disciplines through new representational forms. In J. Clayson 8 I. Kallas, eds. Proceedings of the Constructionism 2010 Conference.Google Scholar
- U. Wilensky and W. Rand. 2014. Introduction to Agent-Based Modeling, Cambridge, MA: MIT Press.Google Scholar
- M. H. Wilkerson-Jerde and U. Wilensky. 2010. Restructuring change, interpreting changes: The deltatick modeling and analysis toolkit. In J. Clayson AND I. Kalas, eds. Proceedings of the Constructionism 2010 Conference.Google Scholar
- A. Wilson and D. C. Moffat. 2010. Evaluating scratch to introduce younger schoolchildren to programming. In Proc. 22nd Annu. Psychol. Program. Interest Group Universidad Carlos III de Madrid, Leganés, Spain (2010).Google Scholar
- D. Wolber, H. Abelson, E. Spertus, and L. Looney. 2014. App Inventor 2: Create Your Own Android Apps. 2nd ed. Beijing: O'Reilly Media.Google Scholar
- D. Yaroslavski. 2014. Lightbot. Armor Games.Google Scholar
Index Terms
- Comparing Block-Based and Text-Based Programming in High School Computer Science Classrooms
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