Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…

This paper argues for the use of social indicators, in conjunction with the traditional norm-referenced and criterion-referenced tests, to assess the effects of local educational systems. A conceptual framework for the study of educational performance is presented, interrelating: (1) personal resources invested by youth; (2) opportunities for…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…