How students go about their learning has been widely researched from various perspectives. Deep and surface learning is a key perspective taken by many researchers. Another view has been to look at good and poor learning tendencies. Several models of how students experience the learning of IT and programming have also been developed. Yet another perspective is that of student engagement: behavioral, emotional, and cognitive. This entry presents these various perspectives of learning behaviors.
Deep and Surface Learning
Various authors have sought to explore how students learn from the perspective of surface learning and deep learning. While the majority of these studies (and models developed) are from a general education perspective, a few studies have focused specifically on the information systems, computer science, and accounting contexts.
Biggs contends that the approaches to learning are formed by motives (intention) and strategies (actions). It is the learning approach the...
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Azevedo R (2015) Defining and measuring engagement and learning in science: conceptual, theoretical, methodological, and analytical issues. Educ Psychol 50(1):84–94
Baird J, Mitchell I (1991) Some theoretical perspectives on learning, teaching, and change. J Sci Math Educ SE Asia 14(1):7–21
Baird J, White R (1982) Promoting self-control of learning. Instr Sci 11(3):227–247
Berglund A, Wiggberg M (2008) Students learn CS in different ways: insights from an empirical study. In: Proceedings of the tenth conference on Australasian computing education, vol 78. Australian Computer Society, Wollongong, pp 21–26
Biggs J (1989) Approaches to the enhancement of tertiary teaching. High Educ Res Dev 8(1):7–25
Biggs J, Tang C (2007) Teaching for quality learning at university. Society for research into higher education, 3rd edn. McGraw-Hill, Maidenhead
Biggs J, Tang C (2011) Teaching for quality learning at university: what the student does, 4th edn. McGraw-Hill Education, Maidenhead
Boekaerts M (2016) Engagement as an inherent aspect of the learning process. Learn Instr 43:76–83
Bruce C, Buckingham L, Hynd J, McMahon C, Roggenkamp M, Stoodley I (2004) Ways of experiencing the act of learning to program: a phenomenographic study of introductory programming students at university. J Inf Technol Educ 3:143–160
Carbone A (2007) Principles for designing programming tasks: how task characteristics influence student learning of programming. PhD thesis, Monash University, Melbourne
Carbone A, Hurst J, Mitchell I, Gunstone D (2009) An exploration of internal factors influencing student learning of programming. In: Proceedings of the eleventh Australasian conference on computing education, vol 95. Australian Computer Society, Wellington, pp 25–34
Chinn D, Sheard J, Carbone A, Laakso M-J (2010) Study habits of CS1 students: what do they do outside the classroom? In: Proceedings of the twelfth Australasian conference on computing education, vol 103. Australian Computer Society, Brisbane, pp 53–62
Cope C (2000) Educationally critical aspects of the experience of learning about the concept of an information system. La Trobe University, Bendigo
Cope C (2002) Educationally critical aspects of the concept of an information system. Inf Sci 5(2):67–78
Cope C (2003) Educationally critical characteristics of deep approaches to learning about the concept of an information system. J Inf Technol Educ 2:415–427
Cope C, Prosser M (2005) Identifying didactic knowledge: an empirical study of the educationally critical aspects of learning about information systems. High Educ 49(3):345–372
de Raadt M, Hamilton M, Lister R, Tutty J, Baker B, Box I, Cutts Q, Fincher S, Hamer J, Haden P (2005) Approaches to learning in computer programming students and their effect on success. Higher Education in a changing world: Research and Development in Higher Education, 28: 407–414
Eccles JS (2016) Engagement: where to next? Learn Instr 43:71–75
Fredricks JA (2011) Engagement in school and out-of-school contexts: a multidimensional view of engagement. Theory Pract 50(4):327–335
Fredricks JA, Blumenfeld PC, Paris AH (2004) School engagement: potential of the concept, state of the evidence. Rev Educ Res 74(1):59–109
Hughes J, Peiris DR (2006) ASSISTing CS1 students to learn: learning approaches and object-oriented programming. SIGCSE Bull 38(3):275–279
Peters AK, Berglund A, Eckerdal A, Pears A (2014) First year computer science and IT students’ experience of participation in the discipline, Paper presented at the 2014 International Conference on teaching and learning in computing and engineering (LaTiCE), Kuching, April 11–13, 1–8. IEEE.
Robins A (2010) Learning edge momentum: a new account of outcomes in CS1. Comput Sci Educ 20(1):37–71
Sheard J, Carbone A, Hurst AJ (2010) Student engagement in first year of an ICT degree: staff and student perceptions. Comput Sci Educ 20(1):1–16
Sheard J, Carbone A, Chinn D, Laakso M-J (2013) Study habits of CS 1 students: what do they say they do? 21–24 March 2013, pp 122–129
Simon FS, Robins A, Baker B, Box I, Cutts Q, Raadt Md, Haden P, Hamer J, Hamilton M, Lister R, Petre M, Sutton K, Tolhurst D, Tutty J (2006) Predictors of success in a first programming course. In: Eighth Australasian computing education conference (ACE2006), Hobart, January
Willman S, Lindén R, Kaila E, Rajala T, Laakso M-J, Salakoski T (2015) On study habits on an introductory course on programming. Comput Sci Educ 25(3):276–291
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Adamopoulos, F.A. (2020). Learning Behaviors in Programming. In: Tatnall, A. (eds) Encyclopedia of Education and Information Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-10576-1_183
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