Small but Powerful

Enabling students to recognize and evaluate the ubiquitous impact of computing technology on society is an internationally proclaimed goal of a K-12 computing education. To that end, students need to actually engage with their computing knowledge in concrete everyday situations. From the perspectives of learning transfer and variation theory, we conducted three iterations of a classroom intervention and qualitatively analyzed students’ learning processes. As a result, we propose a model of four so-called critical aspects of everyday computing technology in that context. We present various classroom situations and learning experiences in relation to those aspects, and discuss what seems to have enabled or prevented meaningful learning. In particular, we found that several students had difficulties in conceiving of computing technology as simultaneously economical and powerful, thus limiting its potential ubiquity. We discuss our findings in the context of contemporary theories of learning transfer and argue that they suggest specific issues that may seriously inhibit students to appropriately engage with their computing knowledge in the context of everyday technologies.

[1]  Ference Marton,et al.  Sameness and Difference in Transfer , 2006 .

[2]  Mun Ling Lo,et al.  Variation Theory and the Improvement of Teaching and Learning , 2012 .

[3]  Peter Dudley.  Lesson Study: a handbook , 2014 .

[4]  David E. Brown.  Using examples and analogies to remediate misconceptions in physics: Factors influencing conceptual change , 1992 .

[5]  Theodore J. Kopcha,et al.  Conducting educational design research , 2013 .

[6]  Michail N. Giannakos,et al.  A Global Snapshot of Computer Science Education in K-12 Schools , 2015, ITiCSE-WGR.

[7]  J. F. Wagner,et al.  Transfer in Pieces , 2006 .

[8]  Ference Marton,et al.  Necessary Conditions of Learning , 2014 .

[9]  J. F. Wagner,et al.  A Transfer-in-Pieces Consideration of the Perception of Structure in the Transfer of Learning , 2010 .

[10]  B. Glaser.  Theoretical Sensitivity: Advances in the Methodology of Grounded Theory , 1978 .

[11]  N S Keller,et al.  Teaching by concepts. , 1969, Nursing outlook.

[12]  M. Pang,et al.  Revisiting the Idea of “Critical Aspects” , 2016 .

[13]  Evan Heit,et al.  Properties of the diversity effect in category-based inductive reasoning , 2011 .

[14]  M. Joy.  Research Methods in Education (6th Edition) , 2007 .

[15]  Mieke Brekelmans,et al.  Auditing Quality of Research in Social Sciences , 2008 .

[16]  Michael Rohs,et al.  Social, Economic, and Ethical Implications of Ambient Intelligence and Ubiquitous Computing , 2005, Ambient Intelligence.

[17]  David E. Brown,et al.  Overcoming misconceptions via analogical reasoning: abstract transfer versus explanatory model construction , 1989 .

[18]  Carsten Schulte,et al.  Are children perceiving robots as supporting or replacing humans?: first empirical results and classification of preconceptions within a theoretical framework , 2018, WiPSCE.

[19]  Robert L. Goldstone,et al.  The Import of Knowledge Export: Connecting Findings and Theories of Transfer of Learning , 2012 .

[20]  Niels Pinkwart,et al.  “How Else Should It Work?” A Grounded Theory of Pre-College Students’ Understanding of Computing Devices , 2018, ACM Trans. Comput. Educ..

[21]  Mark Weiser,et al.  The computer for the 21st Century , 1991, IEEE Pervasive Computing.

[22]  James H. Aylor,et al.  Computer for the 21st Century , 1999, Computer.

[23]  Andreas Schwill,et al.  Computer science education based on fundamental ideas , 1997 .

[24]  유창조.  Naturalistic Inquiry , 2022, The SAGE Encyclopedia of Research Design.

[25]  Pekka Mertala,et al.  Young children's perceptions of ubiquitous computing and the Internet of Things , 2019, Br. J. Educ. Technol..

[26]  Aki Murata,et al.  Introduction: Conceptual Overview of Lesson Study , 2011 .

[27]  Yvonna S. Lincoln,et al.  Establishing Dependability and Confirmability in Naturalistic Inquiry Through an Audit. , 1982 .

[28]  Michael Friedewald,et al.  Ubiquitous computing: An overview of technology impacts , 2011, Telematics Informatics.

[29]  Niels Pinkwart,et al.  Review and Discussion of Children’s Conceptions of Computers , 2016 .

[30]  Pekka Mertala,et al.  Young children's conceptions of computers, code, and the Internet , 2019, Int. J. Child Comput. Interact..

[31]  Torsten Brinda,et al.  Grundsätze und Standards für die Informatik in der Schule Bildungsstandards Informatik für die Sekundarstufe I , 2008 .

[32]  Jan van den Akker,et al.  Building bridges: how research may improve curriculum policies and classroom practice , 2010 .

[33]  Jian-Peng Guo,et al.  Effects of example variability and prior knowledge in how students learn to solve equations , 2014 .

[34]  Gavriel Salomon,et al.  Knowledge to Go: A Motivational and Dispositional View of Transfer , 2012 .

[35]  Michael Eisenberg,et al.  Invisibility Considered Harmful: Revisiting Traditional Principles of Ubiquitous Computing in the Context of Education , 2006, 2006 Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education (WMTE'06).

[36]  Diane Larsen-Freeman,et al.  Transfer of Learning Transformed. , 2013 .

[37]  Isabel Raemdonck,et al.  A review of motivational constructs in learning and training transfer , 2015 .

[38]  Joanne Lobato,et al.  The Actor-Oriented Transfer Perspective and Its Contributions to Educational Research and Practice , 2012 .

[39]  E. Guba,et al.  Naturalistic inquiry: Beverly Hills, CA: Sage Publications, 1985, 416 pp., $25.00 (Cloth) , 1985 .

[40]  C. Sumiyoshi.  CATEGORY BASED INDUCTION , 1997 .

[41]  David E. Brown,et al.  Overcoming Misconceptions in Mechanics: A Comparison of Two Example-Based Teaching Strategies. , 1987 .

[42]  Timothy J. Nokes-Malach,et al.  Learning Through Case Comparisons: A Meta-Analytic Review , 2013 .

[43]  Charles Hohensee,et al.  “Noticing” as an Alternative Transfer of Learning Process , 2012 .

[44]  Shuchi Grover,et al.  Computational Thinking in K–12 , 2013 .

[45]  Michael T. Rücker,et al.  The things that belong: a grounded theory study of student categorizations of complex technical artifacts , 2018 .

[46]  Máximo Trench,et al.  The Role of Surface Similarity in Analogical Retrieval: Bridging the Gap Between the Naturalistic and the Experimental Traditions , 2015, Cogn. Sci..

[47]  F. Marton,et al.  The object of learning in action research and learning study , 2019, Educational Action Research.

[48]  Joanne Lobato.  Alternative Perspectives on the Transfer of Learning: History, Issues, and Challenges for Future Research , 2006 .

[49]  H. Mandl,et al.  Inert knowledge: Analyses and remedies , 1996 .

[50]  Joanne Lobato,et al.  How Design Experiments Can Inform a Rethinking of Transfer andViceVersa , 2003 .

[51]  Shuchi Grover,et al.  "What Is A Computer": What do Secondary School Students Think? , 2016, SIGCSE.

[52]  Peter Dudley.  Lesson study : professional learning for our time , 2015 .