Dr Craig Alexander

  • Lecturer (Statistics)

telephone: 01413305417
email: Craig.Alexander.2@glasgow.ac.uk
pronouns: He/him/his

Room 325, School of Mathematics and Statistics, The Mathematics and Statistics Building, University Place, University of Glasgow, G12 8QQ

Import to contacts

ORCID iDhttps://orcid.org/0000-0001-6734-747X

Research interests

My principal research interests lie in statistics and data analytics education, looking at ways we can adapt and modify our teaching practices. I am particularly interested in teaching practices for online learning and effective teaching of programming skills. 

I am also interested in the application and development of methods to environmental statistics and Bayesian inference and model selection

 

Research groups

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2020 | 2017
Number of items: 9.

2023

Radvanyi, P., Miller, C. , Alexander, C. , Low, M. , Jones, W. R. and Rock, L. (2023) Computationally Efficient Ranking of Groundwater Monitoring Locations. In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023, pp. 332-338. ISBN 9783947323425

McEwan, M. P. , Jack, E. , Alexander, C. and Bock, M. (2023) From statistics anxiety to SoTL: how a scholarly enquiry led to professional growth. Open Scholarship of Teaching and Learning, 2(2), pp. 1-15. (doi: 10.56230/osotl.55)

Jack, E. , Alexander, C. , McArthur, D. and Mair, C. (2023) Reflections on designing and delivering an online distance learning programme in the mathematical sciences. MSOR Connections, 21(2), pp. 25-33. (doi: 10.21100/msor.v21i2.1397)

2022

Alexander, C. , Jack, E. , McEwan, M. and Bock, M. (2022) Exploring Statistics Anxiety in Several Introductory Statistics Courses to Understand Differences Between Types of Students and Types of Courses. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14D3)

Lindgren, K., Bock, M., Alexander, C. , Jack, E. and Marshall, E. (2022) Statistics Students' Perspectives of Forced Online Learning. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14C3)

Low, M. , Alexander, C. and Bock, M. (2022) Investigating Perceived Student Learning from Peer Review in Statistics Education. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14C1)

Marshall, E. M., Mahmood, B., Alexander, C. , Bock, M., Haigney, D., Jack, E. and Verrier, D. (2022) The impact of remote teaching on statistics learning and anxiety. MSOR Connections, 20(1), pp. 90-101. (doi: 10.21100/msor.v20i1.1312)

2020

Bock, M., Alexander, C. , Jack, E. and McEwan, M. (2020) Study Design & Quantitative Analysis in Learning and Teaching Scholarship: Case Study Exploring Student Attitudes to Introductory Statistics. 13th Annual University of Glasgow Learning and Teaching Conference, Glasgow, UK, 25 Aug 2020.

2017

Alexander, C. , Stuart-Smith, J. , Neocleous, T. and Evers, L. (2017) Using Chain Graph Models for Structural Inference With an Application to Linguistic Data. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 270-274.

This list was generated on Wed Sep 27 16:57:42 2023 BST.
Jump to: Articles | Conference or Workshop Item | Conference Proceedings
Number of items: 9.

Articles

McEwan, M. P. , Jack, E. , Alexander, C. and Bock, M. (2023) From statistics anxiety to SoTL: how a scholarly enquiry led to professional growth. Open Scholarship of Teaching and Learning, 2(2), pp. 1-15. (doi: 10.56230/osotl.55)

Jack, E. , Alexander, C. , McArthur, D. and Mair, C. (2023) Reflections on designing and delivering an online distance learning programme in the mathematical sciences. MSOR Connections, 21(2), pp. 25-33. (doi: 10.21100/msor.v21i2.1397)

Marshall, E. M., Mahmood, B., Alexander, C. , Bock, M., Haigney, D., Jack, E. and Verrier, D. (2022) The impact of remote teaching on statistics learning and anxiety. MSOR Connections, 20(1), pp. 90-101. (doi: 10.21100/msor.v20i1.1312)

Conference or Workshop Item

Bock, M., Alexander, C. , Jack, E. and McEwan, M. (2020) Study Design & Quantitative Analysis in Learning and Teaching Scholarship: Case Study Exploring Student Attitudes to Introductory Statistics. 13th Annual University of Glasgow Learning and Teaching Conference, Glasgow, UK, 25 Aug 2020.

Conference Proceedings

Radvanyi, P., Miller, C. , Alexander, C. , Low, M. , Jones, W. R. and Rock, L. (2023) Computationally Efficient Ranking of Groundwater Monitoring Locations. In: 37th International Workshop on Statistical Modelling (IWSM), Dortmund, Germany, 16-21 Jul 2023, pp. 332-338. ISBN 9783947323425

Alexander, C. , Jack, E. , McEwan, M. and Bock, M. (2022) Exploring Statistics Anxiety in Several Introductory Statistics Courses to Understand Differences Between Types of Students and Types of Courses. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14D3)

Lindgren, K., Bock, M., Alexander, C. , Jack, E. and Marshall, E. (2022) Statistics Students' Perspectives of Forced Online Learning. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14C3)

Low, M. , Alexander, C. and Bock, M. (2022) Investigating Perceived Student Learning from Peer Review in Statistics Education. In: 11th International Conference on Teaching Statistics (ICOTS11 2022), Rosario, Argentina, 11-16 Sep 2022, (doi: 10.52041/iase.icots11.T14C1)

Alexander, C. , Stuart-Smith, J. , Neocleous, T. and Evers, L. (2017) Using Chain Graph Models for Structural Inference With an Application to Linguistic Data. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 270-274.

This list was generated on Wed Sep 27 16:57:42 2023 BST.

Supervision

Teaching

This year I am teaching the following courses:

  • R Programming (ODL)
  • Statistics 1Y
  • Advanced Data Analysis
  • Data Analysis Skills

I am also on the ODL project team for 2023-24. I am also a member of the ODL management team.