Stephen Cranefield | University of Otago (original) (raw)

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Papers by Stephen Cranefield

Lecture Notes in Computer Science, 2009

Journal of Artificial Intelligence Research, Sep 19, 2014

International Joint Conference on Artificial Intelligence, 2015

Lecture Notes in Computer Science, 2004

Lecture Notes in Computer Science, 2020

Australasian Computing Education Conference, Jan 31, 2012

ABSTRACT Introductory programming courses have been continuously reported as having a high rate o... more ABSTRACT Introductory programming courses have been continuously reported as having a high rate of failure or withdrawal. This research aims to develop a new approach for teaching novice programming, which is both easy to introduce and effective in improving novice learning. Our approach combines three key ideas: using a visual programming language; using strategies, specifically using the concepts of "goal" and "plan"; and having a well-defined process. We present a way of representing goals and plans in a visual notation together with a plan library that we developed in a visual programming environment (VPE). A key feature of the approach is that a design, i. e. an unmerged "plan network", is executable and can be tested, giving feedback in the VPE. Furthermore, we describe a detailed process for using existing plans and building new plans in the VPE. This approach had been evaluated experimentally and the results indicated its potential to significantly improve teaching programming to novices.

Law, governance and technology series, Nov 28, 2012

Abstract This chapter aims to identify the main relevant steps in the evolution of (social) norms... more Abstract This chapter aims to identify the main relevant steps in the evolution of (social) norms as well as some of the factors or determinants of such a process and to discuss the most urgent scientific tasks to be fulfilled within a community of scientists committed to the study of norms. It is clearly the case that the scientific study of norms needs innovation and opening up to new instruments, new tools, new competencies, and especially new perspectives and approaches. As argued in this chapter, the merging of Agent-Based ...

arXiv (Cornell University), Feb 4, 2019

Australasian Computing Education Conference, Jan 29, 2013

We propose to improve the teaching of programming to novices by using a clearly-defined and detai... more We propose to improve the teaching of programming to novices by using a clearly-defined and detailed process that makes use of goals and plans, and a visual programming language. We present a simple notation for designing programs in terms of data flow networks of goals and plans, and define a detailed process that uses this notation, and that ultimately results in a program in a visual programming language (BYOB). Results from an evaluation are presented that show the effectiveness of this approach.

Journal of Logic and Computation, Oct 27, 2010

arXiv (Cornell University), May 30, 2022

2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019

Managing the growing demand for care due to long-term conditions (LTCs) is a big challenge for pr... more Managing the growing demand for care due to long-term conditions (LTCs) is a big challenge for primary care providers across the globe. We argue that population-level care for LTC patients registered at a primary health centre (PHC) is possible through workload prediction using care plans. In this paper, we try to answer two research questions: i) How can the future demand for care of the patients with LTCs be predicted? and ii) How is the future demand for care affected by changes? We present a rule-based simulation model that, given the patient details, will predict the number of LTC patients who will be visiting the primary health centre for the next year. Knowing this workload would help the medical practice to meet the upcoming demand for care effectively. Our approach also allows simulation of the effects of changes to practice and resourcing to foresee how these changes may impact the practice. Following the design science research approach, our prediction results have been s...