caa a22 4500 475793129 CHVBK 20180406123716.0 cr unu---uuuuu 170329e20000701xx s 000 0 eng 10.1007/PL00003977 doi (NATIONALLICENCE)springer-10.1007/PL00003977 Velleman Paul F. Cornell University, 358 Ives Hall, Ithaca NY 14853, USA (e-mail: pfv2@cornell.edu), US aut Design principles for technology-based statistics education [Elektronische Daten] [Paul F. Velleman] Abstract.: Statistics is widely recognized as a discipline well-suited to technology-based education. Despite the appearance of a number of innovative contributions to computer-based statistics teaching, there have been few clear statements of appropriate design principles.  This article begins the process of codifying consistent principles for the design of computer-based materials for teaching statistics. The principles emerged as part of an ongoing effort to develop multimedia-based statistics materials for the ActivStats project. We draw from that project to illustrate the principles with specific examples. Springer-Verlag Berlin Heidelberg, 2000 Key words:▮ nationallicence https://doi.org/10.1007/PL00003977 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/PL00003977 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Velleman Paul F. Cornell University, 358 Ives Hall, Ithaca NY 14853, USA (e-mail: pfv2@cornell.edu), US aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer