Abstract | ||
---|---|---|
A reciprocal research and design process (RR & D) became central to the development of mobile learning environments for families. Go Math! applications were developed to support families in the situations they face in their daily activities where problem solving involves mathematics. The RR & D process is effective for synthesizing design and development choices with consideration of the results of basic research on mathematics in everyday life, the voices of users, the social context of use, and mobile affordances. The RR & D process is described, and two mobile mathematics applications illustrate how the process maintains fidelity among research, the development of design criteria, and user voice and practice. We consider the process important in the development of mobile learning environments. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/WMUTE.2010.47 | WMUTE |
Keywords | Field | DocType |
co-design processes,mobile learning environment,development choice,reciprocal research,mobile mathematics application,d process,problem-solving,research anchors new mobile,design process,reciprocal research and design process,learning environments,family learning,design criterion,computer supported collaborative learning (cscl),basic research,mobile affordances,mobile learning,synthesizing design,mathematics,mobile computing,rr & d process,computer aided instruction,go math! applications,pediatrics,data analysis,social context,statistics,collaboration,educational technology,games,process design,application software,mobile communication | Educational technology,Mobile computing,Fidelity,Computer science,Human–computer interaction,Process design,Application software,Design process,Multimedia,Affordance,Mobile telephony | Conference |
ISBN | Citations | PageRank |
978-1-4244-6428-9 | 2 | 0.40 |
References | Authors | |
3 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
April Alexander | 1 | 2 | 0.40 |
Kristen P. Blair | 2 | 16 | 5.18 |
Shelley V. Goldman | 3 | 22 | 5.94 |
Osvaldo Jimenez | 4 | 2 | 1.08 |
Masataka Nakaue | 5 | 2 | 0.40 |
Roy D. Pea | 6 | 642 | 85.41 |
Andrew Russell | 7 | 4 | 2.85 |