Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…

The present study examines the difficulties novice data modelers face when asked to provide a data model addressing a given problem. In order to map these difficulties and their causes, two short data modeling problems were given to 82 students who had completed an introductory course in database modeling. Both problems involve three entity sets…

Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…

Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem…

Empirical evidence on the way in which expert designers from different domains cognitively connect their internal processes with external resources is presented in the context of an extended cognition model. The article focuses briefly on the main trends in the extended design cognition theory and in particular on recent trends in information…

This paper uses methods derived from the field of futures studies to explore the future of technology-enhanced assessment. Drawing on interviews and consultation activities with experts, the paper aims to discuss the conditions that can impede or foster "innovation" in assessment and education more broadly. Through a review of relevant…

This invited commentary includes observations about the article "Building Local Capacity for Training and Coaching Data-Based Problem Solving with Positive Behavior Interventions and Support Teams," published in the July 2011 issue of the "Journal of Applied School Psychology." In this article Newton and colleagues present an interesting field…

The process of dealing with real world problems often requires solutions that would not be totally acceptable in the world of "pure" scientific research. A systems analytic viewpoint demands that everything possible be done to define the constraints of the system and that the procedures used to construct a model out of imperfect data be specified.…

Two experiments demonstrate that 10- and 13-year-olds can learn to detect interactive patterns in data. Results also indicate the advantages of creating formal models of solution strategies and using them as a basis for instructional procedures. (Author/DEP)

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…