PROGRAMLAMA ÖĞRENİMİNDE GÖRSELLEŞTİRMENİN ETKİSİ: ALİCE

Year 2019, Volume: 20 Issue: 3, 1376 - 1416, 01.01.2019

Ebru Solmaz

Abstract

Yıllardır süregelen bir problem olarak eğitimcilerin ve araştırmacıların karşısına çıkan programlama derslerindeki yüksek dersten kalma oranları, araştırmacıları farklı çözüm yolları üretmeye yöneltmektedir. Çeşitli çalışmalarda problemin sebeplerini ortadan kaldırmaya yönelik, web tabanlı araçlar, oyunlar, iki ve üç boyutlu programlar, arayüz yazılımları gibi bir takım araçlar geliştirildiği ve kullanıldığı görülmektedir. Bu araçların birçoğunun programlama öğretiminde gerekli olan becerilerin soyut düşünme, eleştirel düşünme, algoritmik düşünme, problem çözme gibi kazandırılmasını kolaylaştırmaya yönelik soyut kavramları somutlaştırmaya yarayan görselleştirme yazılımları olduğu açıktır. Tanınmış görselleştirme araçlarından biri Alice’dir. Alice, nesne yönelimli ve 3 boyutlu etkileşimli görsel destekli bir programlama ortamıdır. Bu çalışmada; programlamaya giriş dersindeki düşük başarı oranlarından hareketle öğrencilerin söz konusu becerileri geliştirmelerine yardımcı olacak Alice ortamının PHP programlama dilinin öğretimi için kullanımı değerlendirilmiştir. Deney ve kontrol gruplarının oluşturulduğu araştırmada deney grubunda Php programlama dili Alice yardımı ile öğretilirken, kontrol grubunda herhangi bir yardımcı araç kullanmadan öğretim yapılmıştır. Araştırma; deney grubunda 20, kontrol grubunda 19 kişi olmak üzere toplam 39 lisans öğrencisi ile gerçekleştirilmiştir. Süreç içinde ALICE ortamının; öğrencilerin eleştirel düşünme ve problem çözme becerileri ile üstbilişsel farkındalık düzeylerine etkisi incelenmiş, araştırma sonucunda elde edilen verilerin analizi ile Alice ortamının bu 3 değişken üzerinde anlamlı bir fark yaratmadığı ortaya çıkmıştır. Bulgular, benzer araştırma sonuçları ile karşılaştırılarak irdelenmiş ve gelecek araştırmalar için çeşitli öneriler verilmiştir.

Keywords

Alice, Programlama öğretimi, Eleştirel düşünme, Problem çözme, Üstbilişsel farkındalık

PROGRAMLAMA ÖĞRENİMİNDE GÖRSELLEŞTİRMENİN ETKİSİ: ALİCE

Abstract

References

• Adán-Coello, J. M., Tobar, C. M., Faria, E. J. , Menezes, W. S., and Freitas, R. L. (2011). Forming groups for collaborative learning of introductory computer programming based on students’ programming skills and learning styles. International Journal of Information and Communication Technology Education, 7(4), 34-46.
• Akın, A., Abacı, R. ve Çetin, B. (2007). The validity and reliability of the Turkish version of the metacognitive awareness inventory. Educational Sciences: Theory & Practice, 7(2), 671-678.
• Baldwin, L. P. and Kuljis, J. (2001, January). Learning programming using program visualization techniques. Paper presented at the 34th annual Hawaii international conference on system sciences, Maui, HI, USA.
• Ben—Ari, M. (2013). Visualization of programming. In Kadijevich, D. M., Angeli, C. ve Schulte, C. (Ed.), Improving Computer Science Education (ss. 61-74). New York: Routledge.
• Berge, O., Borge, R.E., Fjuk, A., Kaasboll, J., and Samuelsen, T. (2003, November). Learning object oriented programming. Paper presented at the Norsk informatik konferanse (Norwegian informatics conference), Oslo, Norway.
• Borg, W. R. and Gall, M. D. (1979). Educational Research: An Introduction (third edition). London: Longman.
• Brusilovsky, P., Kouchnirenko, A., Miller, P., and Tomek, I. (1994, June). Teaching programming to novices: a review of approaches and tools. Proceedings of ED-MEDIA 94--World conference on educational multimedia and hypermedia, Vancouver, British Columbia, Canada, pp. 103-110.
• Brusilovsky, P., Calabrese, E., Hvorecky, J., Kouchnirenko, A., and Miller, P. (1997). Mini-languages: a way to learn programming principles. Education and Information Technologies, 2, 65-83.
• Bucci, P., Long, T. J., and Weide, B. W. (2001). Do we really teach abstraction?. ACM SIGCSE Bulletin, 33(1), 26-30.
• Büyüköztürk, Ş. (2008). Sosyal Bilimler için Veri Analizi El Kitabı, 9.Baskı. Ankara: Pegem Akademi.
• Carlisle, M.C., Wilson, T. A., Humphries, J. W., and Hadfield, S. M. (2005). RAPTOR: A visual programming environment for teaching algorithmic problem solving. ACM SIGCSE Bulletin 37(1), 176-180.
• Cervesato, I. (2008). On teaching programming languages using a wiki. Report, Computer Science Department, Carnegie Mellon University, USA. Retreived from http://repository.cmu.edu/compsci/2
• Cliburn, D. C. (2008, October). Student opinions of Alice in CS1. Paper Presented at the 38th Annual Frontiers in Education Conference, Saratoga Springs, NY, USA, doi: 10.1109/FIE.2008.4720254
• Cohen, L., Manion, L., and Morrison, K. (2007). Research Methods in Education (Sixth Edition). London: Routledge.
• Cooper, S., Dann, W., and Pausch, R. (2000a). Alice: A 3-D tool for introductory programming concepts. Journal of Computing Sciences in Small Colleges, 15(5), 107-116.
• Cooper, S., Dann, W., and Pausch, R. (2000b). Developing algorithmic thinking with Alice. In D. Colton (Ed.), Proceedings of the 17th Information Systems Education Conference (ISECON 2000) (pp. 506-539), Pensilvania, USA, Vol. 17.
• Cooper, S., Dann, W., and Pausch, R. (2003). Using animated 3D graphics to prepare novices for CS1. Computer Science Education, 13 (1), 3-30.
• Costa, C. J., Aparicio, M., and Cordeiro, C. (2012, June). A solution to support student learning of programming. Proceedings of The Workshop on Open Source and Design of Communication (pp. 25- 29). ACM.
• Dann, W., Cooper, S., and Pausch, R. (2000, July). Making the connection: programming with animated small worlds. Proceedings of the 5th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE 2000) ( pp. 41-44), Helsinki, Finland.
• Dass, N., Kim, J., Ford, S., Agarwal, S., and Chau, D. H. P. (2018, April). Augmenting coding
• augmented reality for learning programming. Proceedings of the Sixth International Symposium of
• Chinese CHI (pp: 156-159), Montreal, Canada.
• Doherty, L. and Kumar, V. (2009, August). Teaching programming through games. Paper presented at International Workshop on Technology for Education. Bangalore, India.
• Driscoll, M. (1994). Gagne’s theory of instruction. Psychology of Learning for Instruction. Boston, MA, Allyn and Bacon, 329-358.
• Futschek, G. (2006). Algorithmic thinking: the key for understanding computer science. In R. T. Mittermeir (Ed.), Proceedings of Evolution and Perspectives: 2nd International Conference in Informatics in Secondary Schools (ISSEP 2006) (pp. 159 – 168). Berlin: Springer.
• Gagné, R. M. (1985). The conditions of learning and theory of instruction. New York: Holt, Rinehart and Winston.
• Gallant, R. J. and Mahmoud, Q. H. (2008, March). Using greenfoot and a moon scenario to teach java programming in CS1. Paper presented at the 46th Annual Southeast Regional Conference on XX, Auburn, Alabama, USA, New York: ACM.
• Gomes, A. and Mendes, A. J. (2007, September). Learning to program – difficulties and solutions. Paper presented at International Conference on Engineering Education, Coimbra, Portugal.
• Grant, N. S. (2003, October). A study on critical thinking, cognitive learning style, and gender in various information science programming classes. Proceedings of the 4th Conference on Information Technology Curriculum (pp. 96-99), Lafayette, Indiana, doi:10.1145/947121.947142
• Gundurao, H.K., Manjunath, N. S., and Nachappa, M. N. (2010). Computer technology and computer programming. IND: Global Media.
• Hansen, M. R. and Kristensen, J. T. (2008). Experiences with functional programming in an introductory curriculum. In Bennedsen, J., Caspersen, M. E. and Kölling, M. (Ed.), Reflections on the teaching of programming methods and implementations (ss. 30-46). Berlin: Springer-Verlag.
• Helminen, J. and Malmi, L. (2010, October). Jype - a program visualization and programming exercise tool for Python. Proceedings of the 5th International Symposium on Software Visualization (pp. 153- 162), Utah, USA, doi:10.1145/1879211.1879234
• Heppner, P. P. and Petersen, C. H. (1982). The development and implications of a personal problem- solving inventory. Journal of Counseling Psychology, 29(1), 66-75.
• Hernandez, C. C., Silva, L., Segura, R. A., Schimiguel, J., Ledon, M. F. P., Bezerra, L. N. M., and Silveira, I. F. (2010). Teaching programming principles through a game engine. Clei Electronic Journal, 13(2), 1-8.
• Howard, E. V., Evans, D., Courte, J., and Bishop-Clark, C. (2006). A qualitative look at Alice and pair- programming. Information Systems Education Journal, 7(80).
• Ibrahim, R., Rahim, N. Z. A., Ten, D. W. H., Yusoff, R., Maarop, N., and Yaacob, S. (2018). Student's opinions on online educational games for learning programming ıntroductory. International Journal of Advanced Computer Science and Applications, 9(6), 332-340.
• Karsten, R., Kaparti, S., and Roth, R. M. (2005). Teaching programming via the web: a time-tested methodology. College Teaching Methods and Styles Journal, 1(3), 73- 79.
• Kay, J., Barg, M., Fekete, A., Greening, T., Hollands, O., Kingston, J. H., and Crawford, K. (2000). Problem-based learning for foundation computer science courses. Computer Science Education, 10(2), 109-128.
• Kalelioğlu, F. (2015). A new way of teaching programming skills to K-12 students: Code.org. Computers in Human Behavior, 52, 200-210.
• Kiser, S. S. (1989). Logo programming, metacognitive skills in mathematical problem solving and mathematics achievement. Unpublished Doctoral Dissertation, North Carolina University, USA.
• Klassen, M. (2006, July). Visual approach for teaching programming concepts. Proceedings of 9th International Conference on Engineering Education (ICEE 2006) (pp. 23-28), San Juan, Puerto Rico.
• Kosurkar, V., Zade, A., Tikas, A., Prasad, S., and Sure, B. (2017). Learning programming language with game-like elements integrated on a web-based platform and assessment using formative feedback. International Journal of Engineering Science, 7(3), 5268-5271.
• Kökdemir, D. (2003). Belirsizlik durumlarında karar verme ve problem çözme. Yayınlanmamış Doktora Tezi (Unpublished doctoral dissertation), Social Science Institute, Ankara University, Ankara, Turkey.
• Kölling, M. (2008). Greenfoot: a highly graphical ide for learning object-oriented programming. ACM SIGCSE Bulletin, 40(3), 327-327.
• Lawrence, A., Badre, A., and Stasko, J. (1994, October). Empirically evaluating the use of animations to teach algorithms. Proceedings of 1994 IEEE Symposium on Visual Languages (pp. 48-54), St. Louis, MO, USA, doi: 10.1109/VL.1994.363641
• Lin, H. and Kuo, T. (2010, June). Teaching programming technique with edutainment robot construction. Paper presented at The 2nd International Conference on Education Technology and Computer (ICETC), Shanghai, China, doi: 10.1109/ICETC.2010.5529557
• Maloney, J., Burd, L., Kafai, Y., Rusk, N., Silverman, B., and Resnick, M. (2004, January). Scratch: a sneak preview. Paper presented at the 2nd International Conference On Creating, Connecting And Collaborating Through Computing, Kyoto, Japan, pp. 104-109. doi: 10.1109/C5.2004.1314376
• Maloney, J., Resnick, M., Rusk, N., Silverman, B., and Eastmond, E. (2010). The scratch programming language and environment. ACM Transactions on Computing Education (TOCE), 10(4), 16, 1-15.
• Miyadera, Y., Kurasawa, K., Nakamura, S., Yonezawa, N., and Yokoyama, S. (2007). A real-time monitoring system for programming education using a generator of program animation systems. Journal of Computers, 2(3), 12-20.
• Mohorovicic, S. and Tijan, E. (2011). Blende learning model of teaching programming in higher education. The Journal of Knowledge and Learning, 7(1), 2, 86-98.
• Moskal, B., Lurie, D., and Cooper, S. (2004). Evaluating the effectiveness of a new instructional approach. ACM SIGCSE Bulletin, 36(1), 75-79.
• Nascimento, M. R., Mendonça, A. P., Guerrero, D. D. S., and Figueiredo, J. C. A. (2010, October). Teaching programming for high school students: a distance education experience. Paper presented at the 40th ASEE/IEEE Frontiers in Education Conference, Washington, DC, USA, 27-30 October 2010, doi:10.1109/FIE.2010.5673642.
• Ouahbi, I., Kaddari, F., Darhmaoui, H., Elachqar, A., and Lahmine, S. (2015). Learning basic programming concepts by creating games with scratch programming environment. Procedia- Social and Behavioral Sciences, 191, 1479-1482.
• Partovi, H. and Sahami, M. (2013). The hour of code is coming . ACM SIGCSE Bulletin, 45(4), 5-5.
• Pausch, R. (head), Burnette, T., Capeheart, A. C., Conway, M., Cosgrove, D., DeLine, R., Durbin, J., Gossweiler, R., Koga, S., and White, J. (1995). Alice: rapid prototyping system for virtual reality. IEEE Computer Graphics and Applications, 15(3), 8-11.
• Price, K. W. (2003). Using visual technologies in the ıntroductory programming courses for computer science majors. Doctoral dissertation, Nova Southeastern University Graduate School of Computer and Information Sciences, USA.
• Radosevic, D., Orchovacki, T., and Lovrencic, A. (2009, September). New approaches and tools in teaching programming. Paper presented at the 20th Central European Conference on Information And Intelligent Systems, Varazdin, Croatia, pp.49-57. Retrieved https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2505767
• Reigeluth, C. M. (1987). Instructional theories in action. Lessons illustrating selected theories and models. Hillsdale, NJ: Lawrence Elrbaum Associates.
• Repenning, A. and Sumner, T. (1995). Agentsheets: A medium for creating domain-oriented visual languages. IEEE Computer, 28(3), 17-25.
• Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B., and Kafai, Y. (2009). Scratch: programming for all. Communications of the ACM, 52(11), 60-67.
• Rogalski, J. and Samurcay, R. (1990). Acquisition of programming knowledge and skills. İçinde Hoc, J. M., Green, T. R. G., Samurcay, R. ve Gillmore, D. J. (Ed.). Psychology of programming (ss. 157- 174). London: Academic Press.
• Sagisaka, T. and Watanabe, S. (2008, October). Toward the development of adaptive learning system -- - investigations of beginners in programming course based on learning strategies and programming test with gradual levels. Paper presented at IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2008), Freiburg, Germany.
• Sanders, D. and Dorn, B. (2003). Jeroo: a tool for introducing object-oriented programming. ACM SIGCSE Bulletin, 35(1), 201-204.
• Schraw, G. and Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460-475.
• Shaft, T.M. (1995). Helping programmers understand computer programs: the use of metacognition. ACM SIGMIS Database, 26(4), 25-46.
• Shneiderman, B. and Mayer, R. (1979). Syntactic/semantic interactions in programmer behavior: a model and experimental results. International Journal of Computer and Information Sciences, 8(3), 219-238.
• Şahin, N., Şahin, N. H., and Heppner, P. P. (1993). Psychometric properties of the problem solving inventory in a group of Turkish university students. Cognitive Therapy and Research, 17(4), 379- 396.
• Şendağ, S. and Başer, Y. G. (2013). Öğretim teorileri ve öğretim teknolojileri. İçinde Çağıltay, K. ve Göktaş, Y. (Ed.), Öğretim teknolojilerinin temelleri: teoriler, araştırmalar, eğilimler (ss. 133-151). Ankara: Pegem Akademi.
• Tekdal, M. (2013). The effect of an example-based dynamic program visualization environment on students' programming skills. Journal of Educational Technology & Society, 16(3), 400-410.
• Tsalapatas, H., Heidmann, O., Alimisi, R., and Houstis, E. (2012). Game-based programming towards developing algorithmic thinking skills in primary education. Scientific Bulletin of the Petru Maior University of Targu Mures, 9(1), 56-63.
• Vihtonen, E., Alaoutinen, S., and Kaarna, A. (2001, October). Computer supported learning environment for c programming language. Proceedings of the First Annual Finnish / Baltic Sea Conference On Computer Science Education (pp:27-32), Koli, Finland. Retrieved from https://www.kolicalling.fi/old_cms/archive/2001/koli_proc_2001.pdf#page=31
• Wang, T., Mei, W., Lin, S., Chiu, S., and Lin, J. M. (2009, October). Teaching programming concepts to high school students with Alice. Paper presented at the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, USA, doi:10.1109/FIE.2009.5350486.
• Wilson, C. (2015). Hour of code---a record year for computer science. ACM Inroads, 6(1), 22-22.
• Winslow, L. E. (1996). Programming pedagogy – a psychological overview. ACM SIGCSE Bulletin, 28(3), 17–22.
• Zaccone, R., Cooper, S., and Dann, W. (2003, November). Using 3d animation programming in a core engineering course seminar. Paper presented at the 3rd ASEE/IEEE Frontiers in Education Conference, Westminster, CO, USA. Retrieved from https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1264764
• Zapušek, M., and Rugelj, J. (2013). Learning programming with serious games. EAI Endorsed Trans. Game Based Learn, 13(01), e6.
• Zhao, D., Chis, A. E., Muntean, G. M., and Muntean, C. H. (2018, July). A large-scale pilot study on game-based learning and blended learning methodologies in undergraduate programming courses. Paper presented at EDULEARN Conference, Palma de Mallorca, Spain. Retrieved from http://www.newtonproject.eu/wp-content/uploads/2018/08/4.- Zhao_EDULEARN_CameraReady.pdf