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Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate different methods of following the development of student behaviour throughout the semester using online submission system data, and different approaches to analysing this development. We demonstrate the application of these methods to data from a junior computer science course (N=494) and discuss their usefulness in understanding the common behavioural strategies of students in this course and how these develop over time. Finally, we draw links between behaviour in weekly coding tasks and student performance in the final exam and discuss whether these methods could be applicable midway through the semester. [For the full proceedings, see ED592609.]

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 fast pace and affecting academia and professional practice in many ways. Paradigms such as just-in-time learning, constructivism, student-centered learning and collaborative approaches have emerged and are being supported by technological advancements such as simulations, virtual reality and multi-agents systems. These developments have created both opportunities and areas of serious concerns. This conference aimed to cover both technological as well as pedagogical issues related to these developments. The IADIS CELDA 2012 Conference received 98 submissions from more than 24 countries. Out of the papers submitted, 29 were accepted as full papers. In addition to the presentation of full papers, short papers and reflection papers, the conference also includes a keynote presentation from internationally distinguished researchers. Individual papers contain figures, tables, and references.

The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. "E-Learn 2015: World Conference on E-Learning" took place in Kona, Hawaii, October 19-22, 2015. This year's E-Learn conference again covered many different topics from the ever-present MOOCs to learner analytics to more rare topics such as personal innovativeness and semantic text theme generation. There are over 300 papers covering these topics in the proceedings. The following are the award papers presented at the conference: (1) Implementation of the Inverted Classroom Model for Theoretical Computer Science (Karsten Morisse); (2) Students' Conceptual Understanding of Leadership in a Global World: Learning via a Web-based Simulation of Political and Economic Development (Seungoh Paek and Daniel L. Hoffman); (3) Ready to Practice? Learning Skills Using Digital Simulated Patients (Nataly Martini, Ashwini Datt, Anuj Bhargava, and Craig Webster); (4) Mobile Learning for Students with and without Disabilities in K-12 Educational Setting (Jingrong Xie and James Basham); and (5) Using ADDIE to Design Online Courses via Hybrid Faculty Development (Michelle Read, Gwendolyn Morel, and Danyelle Hennington). [For the E-Learn 2014 proceedings, see ED602926.]