Anthony V. Robins

According to our database, Anthony V. Robins authored at least 58 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Computational Thinking and Notional Machines: The Missing Link.

Bhagya Munasinghe, Timothy C. Bell, Anthony V. Robins

ACM Trans. Comput. Educ., December, 2023

Future Scenarios for High School Digital Technology in New Zealand.

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

Proceedings of the 25th Australasian Computing Education Conference, 2023

2022

Dual Process Theories: Computing Cognition in Context.

Anthony V. Robins

ACM Trans. Comput. Educ., 2022

Barriers to New Zealand High School CS Education - Learners' Perspectives.

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

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Teachers' Views on the Implementation of a New High School Computing Curriculum.

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

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

2021

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting.

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

Neurocomputing, 2021

A Decade of CS Education in New Zealand's High Schools: Where Are We At?

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

Proceedings of the WiPSCE '21: The 16th Workshop in Primary and Secondary Computing Education, 2021

Students' Perspectives on High School CS Education in NZ.

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

Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.2, Virtual Event, Germany, June 26, 2021

Teachers' understanding of technical terms in a Computational Thinking curriculum.

Bhagya Munasinghe, Tim Bell, Anthony V. Robins

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020

ICER 2020 preview.

Adon Moskal, Anthony V. Robins, Renée A. McCauley, Amy J. Ko

ACM SIGCSE Bull., 2020

ICER 2020 conference preview.

Adon Moskal, Anthony V. Robins, Renée McCauley, Amy J. Ko

ACM SIGCSE Bull., 2020

ICER 2020 retrospective.

Adon Moskal, Anthony V. Robins, Amy J. Ko, Renée A. McCauley

ACM SIGCSE Bull., 2020

The Cambridge Handbook of Computing Education Research Summarized in 75 minutes.

Colleen M. Lewis, Tim Bell, Paulo Blikstein, Adam S. Carter, Katrina Falkner, Sally A. Fincher, Kathi Fisler, Mark Guzdial, Patricia Haden, Sepehr Hejazi Moghadam, Michael S. Horn, Christopher D. Hundhausen, Amy J. Ko, Thomas Lancaster, Michael C. Loui, Lauren E. Margulieux, Leo Porter, Anthony V. Robins, Jean J. Ryoo, Niral Shah, R. Benjamin Shapiro, Kerry Shephard, Beth Simon, Mike Tissenbaum, Ian Utting, Jan Vahrenhold, Aman Yadav

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

2019

ICER 2019 preview.

Robert McCartney, Andrew Petersen, Anthony V. Robins, Adon Moskal

ACM SIGCSE Bull., 2019

GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal.

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

CoRR, 2019

Special Session: The Best Papers from the First Five ICERs.

Robert McCartney, Anthony V. Robins

Proceedings of the 2019 ACM Conference on International Computing Education Research, 2019

A Convolutional Self-organizing Map for Visual Category Learning.

Chris Gorman, Lech Szymanski, Anthony V. Robins, Alistair Knott

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

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

Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins

CoRR, 2018

2017

Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors.

Chris Gorman, Anthony V. Robins, Alistair Knott

Neural Networks, 2017

Improving Spatial Context in CNNs for Semantic Medical Image Segmentation.

Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Mastery Learning in Introductory Programming.

Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins

Proceedings of the Nineteenth Australasian Computing Education Conference, 2017

2016

Translating Principles of Effective Feedback for Students into the CS1 Context.

Claudia Ott, Anthony V. Robins, Kerry Shephard

ACM Trans. Comput. Educ., 2016

2015

The ongoing challenges of computer science education research.

Anthony V. Robins

Comput. Sci. Educ., 2015

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

Claudia Ott, Anthony V. Robins, Patricia Haden, Kerry Shephard

Comput. Sci. Educ., 2015

2014

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

Tim Bell, Peter Andreae, Anthony V. Robins

ACM Trans. Comput. Educ., 2014

An infographic to support students' self-regulated learning.

Claudia Ott, Anthony V. Robins, Kerry Shephard

Proceedings of the 14th Koli Calling International Conference on Computing Education Research, 2014

2013

Elaborating on threshold concepts.

Janet Rountree, Anthony V. Robins, Nathan Rountree

Comput. Sci. Educ., 2013

The role of teachers in implementing curriculum changes.

David Thompson, Tim Bell, Peter Andreae, Anthony V. Robins

Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

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

Hayden Walles, Anthony V. Robins, Alistair Knott

Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012

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

Tim Bell, Heidi Newton, Peter Andreae, Anthony V. Robins

Proceedings of the Workshop in Primary and Secondary Computing Education, 2012

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

Tim Bell, Peter Andreae, Anthony V. Robins

Proceedings of the 43rd ACM technical symposium on Computer science education, 2012

2011

Research design: necessary bricolage.

Sally Fincher, Josh Tenenberg, Anthony V. Robins

Proceedings of the Seventh International Workshop on Computing Education Research, 2011

2010

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

Peter Lamb, Roger Bartlett, Anthony V. Robins

Int. J. Comput. Sci. Sport, 2010

Learning edge momentum: a new account of outcomes in CS1.

Anthony V. Robins

Comput. Sci. Educ., 2010

2008

Self-Organizing Maps as a Tool to Analyze Movement Variability.

Peter Lamb, Roger Bartlett, Anthony V. Robins, Gavin Kennedy

Int. J. Comput. Sci. Sport, 2008

A model of cardinality blindness in inferotemporal cortex.

Hayden Walles, Alistair Knott, Anthony V. Robins

Biol. Cybern., 2008

Use of Self Organizing Maps in Technique Analysis.

Roger Bartlett, Peter Lamb, Anthony V. Robins

Proceedings of the Computer Science in Sport - Mission and Methods, 07.09. - 10.09.2008, 2008

2005

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

Sally Fincher, Raymond Lister, Tony Clear, Anthony V. Robins, Josh Tenenberg, Marian Petre

Proceedings of the International Computing Education Research Workshop 2005, 2005

Observations of Student Competency in a CS1 Course.

Janet Rountree, Nathan Rountree, Anthony V. Robins, Robert Hannah

Proceedings of the Seventh Australasian Computing Education Conference (ACE 2005), 2005

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

Sandy Garner, Patricia Haden, Anthony V. Robins

Proceedings of the Seventh Australasian Computing Education Conference (ACE 2005), 2005

2004

Interacting factors that predict success and failure in a CS1 course.

Nathan Rountree, Janet Rountree, Anthony V. Robins, Robert Hannah

ACM SIGCSE Bull., 2004

A robust method for distinguishing between learned and spurious attractors.

Anthony V. Robins, Simon McCallum

Neural Networks, 2004

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

Anthony V. Robins

Intell. Data Anal., 2004

2003

Learning and Teaching Programming: A Review and Discussion.

Anthony V. Robins, Janet Rountree, Nathan Rountree

Comput. Sci. Educ., 2003

2002

Predictors of success and failure in a CS1 course.

Nathan Rountree, Janet Rountree, Anthony V. Robins

ACM SIGCSE Bull., 2002

1999

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

Anthony V. Robins, Simon McCallum

Neural Networks, 1999

Mechanisms for Memory Consolidation.

Simon McCallum, Anthony V. Robins

Proceedings of the Third New Zealand Computer Science Research Students' Conference, 1999

1998

Local Learning Algorithms for Sequential Tasks in Neural Networks.

Anthony V. Robins, Marcus R. Frean

J. Adv. Comput. Intell. Intell. Informatics, 1998

Catastrophic Forgetting and the Pseudorehearsal Solution in Hopfield-type Networks.

Anthony V. Robins, Simon McCallum

Connect. Sci., 1998

Transfer in Cognition.

Anthony V. Robins

Proceedings of the Learning to Learn., 1998

1997

Learning and Generalisation in a Stable Network.

Anthony V. Robins, Marcus R. Frean

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

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

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

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996

Consolidation in Neural Networks and in the Sleeping Brain.

Anthony V. Robins

Connect. Sci., 1996

Transfer in Cognition.

Anthony V. Robins

Connect. Sci., 1996

1995

Catastrophic Forgetting, Rehearsal and Pseudorehearsal.

Anthony V. Robins

Connect. Sci., 1995

1993

Catastrophic forgetting in neural networks: the role of rehearsal mechanisms.

Anthony V. Robins

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Neural networks and models of cognition: a review.

Anthony V. Robins

Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1991

Multiple Representations in Connectionist Systems.

Anthony V. Robins

Int. J. Neural Syst., 1991