The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…

Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…

This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…

Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…

Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…

The Swift Turbidity Marker is an optical instrument developed to measure the level of water turbidity. The components and configuration selected for the system are based on common turbidity meter design concepts but use a simplified methodology to produce rapid turbidity measurements. This work is aimed at high school physics students and is the…

A COMPREHENSIVE PUPIL PERSONNEL AND CURRICULAR DATA PROCESSING SYSTEM WAS DEVELOPED AND DEMONSTRATED FOR USE OF CALIFORNIA HIGH SCHOOLS. THIS SYSTEM WAS DESIGNED TO SERVE GROUPS OF SCHOOL DISTRICTS THROUGH REGIONAL, DATA PROCESSING CENTERS. THE OVERALL SYSTEMS PLAN, THE NECESSARY PROGRAMING ACTIVITIES, AND A TECHNIQUE FOR MASTER CODING WERE…

As part of an effort to reduce high school dropout rates in large city school districts, Phi Delta Kappa, the National Association of Secondary School Principals, the Council of Great City Schools, and a group of large city school districts undertook an effort to determine baseline statistics in high schools in large cities by using standardized…

This Users Manual is the supporting documentation for the Public Use Data File from the National Longitudinal Study of the High School Class of 1972 (NLS). The data file contains certain merged data from the base year (1972), and first, second, and third follow-up NLS surveys for 22,652 cases. This volume contains only appendices K through Q, as…

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…