The Design of a Mobile Intelligent Tutoring System

Mobile intelligent tutoring systems have the potential to deliver low-cost, one-to-one assistance to learners outside of the traditional classroom and computer lab settings. The focus of this paper is to outline the process involved in researching the role that mobile devices can play in disseminating and supporting the knowledge gained by intelligent tutors. We review three aspects of mobile intelligent tutors — namely the interface, learning and teaching strategies, and the software and hardware architecture — and discuss concepts and preliminary results for consideration of all three aspects in building the next generation of mobile intelligent tutors.

[1]  Laurie Lewis,et al.  Internet Access in U.S. Public Schools and Classrooms: 1994-2005. Highlights. NCES 2007-020. , 2006 .

[2]  Erkki Sutinen,et al.  Mobile collaborative concept mapping - combining classroom activity with simultaneous field exploration , 2004, The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings..

[3]  Mary Beth Rosson,et al.  M-Education: bridging the gap of mobile and desktop computing , 2002, Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education.

[4]  Mike Sharples,et al.  The design of personal mobile technologies for lifelong learning , 2000, Comput. Educ..

[5]  Arthur C. Graesser,et al.  Autotutor holds conversations with learners that are responsive to their cognitive and emotional states , 2007 .

[6]  Palmyre Pierroux.  MOBILITY IN LEARNING: MEANING MAKING ACROSS CLASSROOM AND MUSEUM SETTINGS , 2007 .

[7]  Jill Attewell,et al.  Mobile communications technologies for young adult learning and skills development (m-learning) , 2002, Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education.

[8]  Gautam Biswas,et al.  The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments , 2006, Intelligent Tutoring Systems.

[9]  Luvai Motiwalla,et al.  Mobile learning: A framework and evaluation , 2007, Comput. Educ..

[10]  Kurt VanLehn,et al.  Andes: A Coached Problem Solving Environment for Physics , 2000, Intelligent Tutoring Systems.

[11]  Erica Melis,et al.  The Poor Man's Eyetracker Tool of ActiveMath , 2002 .

[12]  Robert Yu-Liang Ting,et al.  Mobile learning: current trend and future challenges , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[13]  Helmar Burkhart,et al.  CoMobile: Collaborative Learning with Mobile Devices , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[14]  Acknowledgements , 1992, Experimental Gerontology.

[15]  Mary A. Mark,et al.  An Interview Reflection on “Intelligent Tutoring Goes to School in the Big City” , 2015, International Journal of Artificial Intelligence in Education.

[16]  Dieter Wallach,et al.  WHAT IS POOR MAN ’ S EYE TRACKING GOOD FOR ? , 2003 .

[17]  John Traxler,et al.  Innovative and Sustainable Mobile Learning in Africa , 2006, 2006 Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education (WMTE'06).

[18]  Erica Melis,et al.  Towards Adaptive Generation of Faded Examples , 2004, Intelligent Tutoring Systems.

[19]  K. Koedinger,et al.  Exploring the Assistance Dilemma in Experiments with Cognitive Tutors , 2007 .

[20]  Yannis A. Dimitriadis,et al.  Mystery in the museum: collaborative learning activities using handheld devices , 2005, Mobile HCI.

[21]  Ae McFarlane,et al.  Challenges and opportunities: making mobile learning a reality in schools , 2005 .

[22]  Venkataraman Ramesh,et al.  Design, development, and assessment of mobile applications: the case for problem-based learning , 2006, IEEE Transactions on Education.