Proceedings of the 12th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2015

Instructional message design explores how various media and delivery systems might be used more effectively to help optimize instructional communications within context-specific instructional situations and learner needs. But use of the term appears to have fallen out of favor over the years since the mid-1990s. A review of the historical and theoretical foundations of instructional message design reveals that, while instructional design generally has shifted from objectivist to more constructivist perspectives on learning theory, the instructional message design field remains firmly rooted in early “transmission oriented” communications models. It appears that instructional message design has also suffered from definitional problems as well, with more recent narrow views of the field focused on media attributes supplanting earlier broad views of the field as an applied “linking science” between theory and practice. And, finally, while findings from studies on media attributes provide designers with some guidance for generally what will not work in terms of cognitive processing, the guidelines seldom shed light on what one should actually do within a particular learning context. Re-establishing instructional message design as a valid area of inquiry within the field of instructional design will require catching up with recent philosophical shifts in communication theory while adjusting our definitions and research foci accordingly. In this presentation I will briefly revisit instructional message design’s objectivist learning theory and transmission-oriented communication theory foundations, discuss current trends and issues being raised in the literature, and explore ways the field might continue to serve as a “linking science” between learning theory and instructional practice. I will conclude with recommendations for a revised guiding theoretical framework based in conversation theory, a broader definitional focus that looks at more than just optimizing cognitive processing, and a new systems view of our approach to research in this area.

[1]  Rocky Ross,et al.  Mental models , 2004, SIGA.

[2]  Shane Dawson,et al.  Numbers Are Not Enough. Why e-Learning Analytics Failed to Inform an Institutional Strategic Plan , 2012, J. Educ. Technol. Soc..

[3]  Kiira Kärkkäinen,et al.  Bringing About Curriculum Innovations: Implicit Approaches in the OECD Area , 2012 .

[4]  Gerald Knezek,et al.  Learning with Social Media: Measurement Tools for Understanding Information Behavior in Technology Pervasive Environments of the 21st Century , 2013 .

[5]  N. Seel Epistemology, situated cognition, and mental models: 'Like a bridge over troubled water' , 2001 .

[6]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[7]  Anas N. Al-Rabadi,et al.  A comparison of modified reconstructability analysis and Ashenhurst‐Curtis decomposition of Boolean functions , 2004 .

[8]  P. Prinsloo,et al.  Learning Analytics , 2013 .

[9]  Chang Woo Nam,et al.  The effects of trust and constructive controversy on student achievement and attitude in online cooperative learning environments , 2014, Comput. Hum. Behav..

[10]  Matthew D. Pistilli,et al.  Purdue Signals , 2010 .

[11]  J. Rubenfeld The Right of Privacy , 1989 .

[12]  Robert J. Crutcher,et al.  The role of deliberate practice in the acquisition of expert performance. , 1993 .

[13]  H. Nissenbaum Privacy as contextual integrity , 2004 .

[14]  Katerina Ananiadou,et al.  21st Century Skills and Competences for New Millennium Learners in OECD Countries , 2009 .

[15]  G. Halford,et al.  A cognitive complexity metric applied to cognitive development , 2002, Cognitive Psychology.

[16]  George Siemens,et al.  Ethical and privacy principles for learning analytics , 2014, Br. J. Educ. Technol..

[17]  David H. Jonassen,et al.  Case-based reasoning and instructional design: Using stories to support problem solving , 2002 .

[18]  Paul Prinsloo,et al.  Student Data Privacy and Institutional Accountability in an Age of Surveillance , 2014 .