@inbook {MATHEDUC.06568685,
author = {Pittalis, Marios and Christou, Constantinos and Pitta-Pantazi, Demetra},
title = {The predictive nature of perceived learning fit on teachers' intention to use DGS in geometry teaching.},
year = {2015},
booktitle = {Proceedings of the 12th international conference on technology in mathematics teaching, ICTMT 12},
isbn = {978-989-8472-68-7},
pages = {303-311},
publisher = {Faro: University of Algarve},
abstract = {Summary: The purpose of this study was twofold. Firstly, to extend technology acceptance model to assess secondary school teachers' intention to use Dynamic Geometry Software (DGS) in geometry teaching and, second, to examine the relations among the parameters of TAM and the role of external factors. We enriched TAM by integrating in the model the notion of ``perceived pedagogical-learning fit", which refers to evaluating the pedagogical-learning appropriateness of teaching geometry with DGS based on a cognitive-learning model. The results of the study showed that perceived pedagogical-learning fit is the strongest predictive factor of intention to use, while the external factors affect only the ``perceived of ease to use". ``Perceived usefulness" and ``perceived ease of use" had weak indirect effects on intention to use through attitude.},
msc2010 = {C20xx (C30xx U70xx)},
identifier = {2016c.00112},
}