Self-organising navigational support in lifelong learning: How predecessors can lead the way

Increased flexibility and modularisation in higher education complicates the process of learners finding their way through the offerings of higher education institutions. In lifelong learning, where learning opportunities are diverse and reach beyond institutional boundaries, it becomes even more complex to decide on a learning path. However, efficient and effective lifelong learning requires that learners can make well informed decisions. Drawing on principles of self-organisation and indirect social interaction, this article suggests solving the problem by analysing the paths followed by learners and feeding this information back as advice to learners facing navigational decisions. This article starts by introducing the principles of self-organisation and indirect social interaction. It describes how we expect the use of indirect social interaction using collaborative filtering to enhance effectiveness (completion rates and amount of progress) and efficiency (time taken to complete) in lifelong learning. The effects were tested in a controlled experiment, with the results showing effects on effectiveness though not on efficiency. The study shows that indirect feedback is a promising line of enquiry for navigational support in lifelong learning.

[1]  A. P. Rovai In search of higher persistence rates in distance education online programs , 2003, Internet High. Educ..

[2]  D. Kember The use of a model to derive interventions which might reduce drop-out from distance education courses , 1990 .

[3]  Rudy Darken,et al.  A toolset for navigation in virtual environments , 1993, UIST '93.

[4]  Colin Tattersall,et al.  A design model for lifelong learning networks , 2005, Interact. Learn. Environ..

[5]  David M. Nichols,et al.  Implicit Rating and Filtering , 1998 .

[6]  Ormond Simpson Access, Retention and Course Choice in Online, Open and Distance Learning , 2004 .

[7]  Kristina Höök,et al.  Designing Information Spaces: The Social Navigation Approach , 2003, Computer Supported Cooperative Work.

[8]  David H. Jonassen,et al.  Handbook of Research on Educational Communications and Technology : A Project of the Association for Educational Communications and Technology , 1996 .

[9]  Gary R. Morrison,et al.  EXPERIMENTAL RESEARCH METHODS , 2003 .

[10]  Guy Theraulaz,et al.  A Brief History of Stigmergy , 1999, Artificial Life.

[11]  Mantz Yorke Leaving Early: Undergraduate Non-completion in Higher Education , 1999 .

[12]  Nicola Reimann,et al.  Calculating non‐completion rates for modules on institution‐wide language programmes: some observations on the nature of seemingly objective figures , 2004 .

[13]  Grégory Valigiani,et al.  Experimenting with a real-size man-hill to optimize pedagogical paths , 2005, SAC '05.

[14]  David H. Jonassen,et al.  Handbook of Research for educational Communications and Technology , 1997 .

[15]  Andreas Dieberger,et al.  Social Connotations of Space in the Design for Virtual Communities and Social Navigation , 2003, Designing Information Spaces.

[16]  Colin Tattersall,et al.  Self Organising Wayfinding Support for Lifelong Learners , 2005, Education and Information Technologies.

[17]  Rob Koper,et al.  Effective Learning Networks , 2005 .

[18]  Rob Koper,et al.  Increasing Learner Retention in a Simulated Learning Network Using Indirect Social Interaction , 2005, J. Artif. Soc. Soc. Simul..

[19]  Pierre Collet,et al.  Ant colony optimisation for E-learning: observing the emergence of pedagogic suggestions , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[20]  Gellof Kanselaar Lifelong Learning, with and without new media , 1996 .

[21]  Alan Woodley,et al.  Student Progress in Distance Education: Kember's model re-visited , 2001 .

[22]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[23]  Paul Martinez,et al.  9,000 Voices: Student Persistence and Drop-out in Further Education. , 1998 .

[24]  B. Tabachnick,et al.  Using Multivariate Statistics (5th Edition) , 2006 .

[25]  Barbara S. Metzner,et al.  A Conceptual Model of Nontraditional Undergraduate Student Attrition , 1985 .

[26]  David Kember,et al.  Open Learning Courses for Adults: A Model of Student Progress , 1995 .

[27]  Mantz Yorke,et al.  Non-completion of full-time and sandwich students in English higher education: costs to the public purse, and some implications , 1998 .

[28]  S. Chyung Systematic and systemic approaches to reducing attrition rates in online higher education , 2001 .

[29]  Eric Horvitz,et al.  Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach , 2000, UAI.