Anthony V. Robins

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The ongoing challenges of computer science education research

Anthony V. Robins, A. Robins, 2015, Comput. Sci. Educ..

Computer science in NZ high schools: the first year of the new standards

Timothy C. Bell, Peter Andreae, Anthony V. Robins, 2012, SIGCSE '12.

Mastery Learning in Introductory Programming

Brendan McCane, Anthony V. Robins, Claudia Ott, 2017, ACE '17.

A robust method for distinguishing between learned and spurious attractors

Anthony V. Robins, Simon McCallum, A. Robins, 2004, Neural Networks.

Interacting factors that predict success and failure in a CS1 course

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2004, ITiCSE-WGR '04.

Local Learning Algorithms for Sequential Tasks in Neural Networks

Anthony V. Robins, Marcus R. Frean, Marcus Frean, 1998, J. Adv. Comput. Intell. Intell. Informatics.

Catastrophic Forgetting, Rehearsal and Pseudorehearsal

Anthony V. Robins, A. Robins, 1995, Connect. Sci..

Learning and Teaching Programming: A Review and Discussion

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2003, Comput. Sci. Educ..

Research design: necessary bricolage

Sally Fincher, Anthony V. Robins, Josh D. Tenenberg, 2011, ICER.

Observations of Student Competency in a CS1 Course

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2005, ACE.

Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods

Anthony V. Robins, A. Robins, 2004, Intell. Data Anal..

Predictors of success and failure in a CS1 course

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2002, SGCS.

Mechanisms for Memory Consolidation

Anthony V. Robins, Simon McCallum, A. Robins, 1999, New Zealand Computer Science Research Students' Conference.

Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks pdf

Brendan McCane, Anthony V. Robins, Craig Atkinson, 2018, ArXiv.

Multi-institutional, multi-national studies in CSEd Research: some design considerations and trade-offs

Tony Clear, Raymond Lister, Sally Fincher, 2005, ICER '05.

Use of Self Organizing Maps in Technique Analysis

Peter Lamb, Anthony V. Robins, Roger Bartlett, 2008, Computer Science in Sport - Mission and Methods.

Improving Spatial Context in CNNs for Semantic Medical Image Segmentation

Brendan McCane, Steven Mills, Anthony V. Robins, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

A Case Study of the Introduction of Computer Science in NZ Schools

Timothy C. Bell, Peter Andreae, Anthony V. Robins, 2014, TOCE.

Neural networks and models of cognition: a review

Anthony V. Robins, 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Elaborating on threshold concepts

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2013, Comput. Sci. Educ..

My Program is Correct But it Doesn t Run: A Preliminary Investigation of Novice Programmers Problems

Anthony V. Robins, Patricia Haden, Sandy Garner, 2005, ACE.

Distance as a Location Parameter in a Model of Hippocampal Place Fields

Anthony V. Robins, M. B. Mundy, D. Bilkey, 1997, ICONIP.

Learning edge momentum: a new account of outcomes in CS1

Anthony V. Robins, A. Robins, 2010, Comput. Sci. Educ..

A Convolutional Self-organizing Map for Visual Category Learning

Anthony V. Robins, Lech Szymanski, Alistair Knott, 2019, CogSci.

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting pdf

Brendan McCane, Anthony V. Robins, Craig Atkinson, 2018, Neurocomputing.

Learning and Generalisation in a Stable Network

Anthony V. Robins, Marcus R. Frean, Marcus Frean, 1997, ICONIP.

Self-Organizing Maps as a Tool to Analyze Movement Variability

Peter Lamb, Anthony V. Robins, Gavin Kennedy, 2008, Int. J. Comput. Sci. Sport.

Self-Organising Maps: An Objective Method for Clustering Complex Human Movement

Peter Lamb, Anthony V. Robins, Roger Bartlett, 2010, Int. J. Comput. Sci. Sport.

Interacting factors that predict success and failure in a CS1 course

Janet Rountree, Anthony V. Robins, Nathan Rountree, 2004, ACM SIGCSE Bull..

Transfer in Cognition

Anthony V. Robins, A. Robins, 1996, Connect. Sci..

A model of cardinality blindness in inferotemporal cortex

Anthony V. Robins, Alistair Knott, Hayden Walles, 2008, Biological Cybernetics.

Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks

Anthony V. Robins, Simon McCallum, A. Robins, 1998, Connect. Sci..

The introduction of computer science to NZ high schools: an analysis of student work

Timothy C. Bell, Peter Andreae, Anthony V. Robins, 2012, WiPSCE.

An infographic to support students' self-regulated learning

Anthony V. Robins, Kerry Shephard, Claudia Ott, 2014, Koli Calling.

Translating Principles of Effective Feedback for Students into the CS1 Context

Anthony V. Robins, Kerry Shephard, Claudia Ott, 2016, ACM Trans. Comput. Educ..

Consolidation in Neural Networks and in the Sleeping Brain

Anthony V. Robins, A. Robins, 1996, Connect. Sci..

A Neural Network Model of Visual Attention and Group Classification, and Its Performance in a Visual Search Task

Anthony V. Robins, Alistair Knott, Hayden Walles, 2013, Australasian Conference on Artificial Intelligence.

Illustrating performance indicators and course characteristics to support students’ self-regulated learning in CS1

Anthony V. Robins, Patricia Haden, Kerry Shephard, 2015, Comput. Sci. Educ..

Transfer in Cognition

Anthony V. Robins, 1998, Learning to Learn.

The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts

Anthony V. Robins, Simon McCallum, 1999, Neural Networks.

Catastrophic forgetting in neural networks: the role of rehearsal mechanisms

Anthony V. Robins, A. Robins, 1993, Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems.

Multiple Representations in Connectionist Systems

Anthony V. Robins, 1991, Int. J. Neural Syst..

Students' Perspectives on High School CS Education in NZ

Anthony V. Robins, Chamindi K. Samarasekara, Claudia Ott, 2021, ITiCSE.

Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting pdf

Brendan McCane, Anthony V. Robins, Craig Atkinson, 2018, Neurocomputing.