Markov Processes: Exploring the Use of Dynamic Visualizations to Enhance Student Understanding

Pfannkuch, Maxine; Budgett, Stephanie

doi:10.1080/10691898.2016.1207404

Cited by 11 publications

(3 citation statements)

References 17 publications

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“…TinkerPlots, as shown in the study conducted by Biehler et al (2018) and Frischemeier and Schnell (2021) is a robust software tool that uses dynamic visualisations to facilitate students' engagement with the modelling process such as that of experienced practitioners in the field. Pfannkuch and Budgett (2016) also acknowledged the resemblance between TinkerPlots and statistical modelling practice. They observed that mathematical models are constructed using mathematical equations as fundamental building blocks.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review on Teaching Strategies for Fostering Students’ Statistical Thinking

Hasim,

Rosli,

Halim

2024

IJLTER

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In the 21st century, many people need to learn statistical thinking to be literate. Global crises such as COVID-19, climate change, and IR 4.0 have disrupted economic, employment, and education systems. The global labour market and human capital needs are also evolving fast. New jobs, including those of artificial intelligence experts, data scientists, data engineers, big data developers, and data analysts, are increasing the need for statisticians. These experts are in demand, yet some students and instructors find statistics challenging to grasp. Consequently, a comprehensive evaluation was undertaken to ascertain instructional and educational approaches to augment statistical reasoning, according to the recommendations outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards. The publications under examination were published between 2015 and 2023 and were retrieved from the Scopus and Web of Science (WoS) databases. Further review of these articles resulted in eleven themes. The study results show that statistical modelling methods and real-world data are two of the most effective ways to improve statistical thinking. Ultimately, this study led to many ideas to help people learn how to think statistically.

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Section: Discussionmentioning

confidence: 99%

A Systematic Review on Teaching Strategies for Fostering Students’ Statistical Thinking

Hasim,

Rosli,

Halim

2024

IJLTER

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“…The Markov Chains tool (https://www.stat.auckland.ac.nz/~wild/MarkovChains/) is a dynamic visual representation of a Markov chain (Pfannkuch & Budgett, 2016). Probabilities are entered into a transition matrix, which results in the creation of a state diagram (Figure 1).…”

Section: The Markov Chains Toolmentioning

confidence: 99%

Visualizing Markov Processes

Budgett¹,

Asanjarani²,

Afimeimounga³

2022

Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference

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Researchers and educators have long been aware of the misconceptions prevalent in people’s probabilistic reasoning processes. Calls to reform the teaching of probability from a traditional and predominantly mathematical approach to include an emphasis on modelling using technology have been heeded by many. The purpose of this paper is to present our experiences of including an activity based on an interactive visualisation tool in the Markov processes module of a first-year probability course. Initial feedback suggests that the tool may support students’ understanding of the equilibrium distribution and points to certain aspects of the tool that may be beneficial. A targeted survey, to be administered in Semester 1, 2022, aims to provide more insight.

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“…Research has also been devoted to students' statistical and probabilistic thinking, statistical reasoning, and communication skills (Dunn et al, 2016;Gordon & Finch, 2010;Malaspina & Malaspina, 2020;Pfannkuch, 2011;Pfannkuch & Wild, 2004). Tremendous efforts were put into enhancing statistics teaching and learning through various pedagogical approaches and technology (e.g., Pfannkuch & Budgett, 2016;Wild et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Peer Collaboration and Student Performance in an IT Environment

Goos

2021

INT ELECT J MATH ED

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This paper addresses the question of whether peer collaboration affects students' performance of regression modelling tasks, an experimental study consisting of a test was conducted in a computing laboratory. Collaborating groups of students were randomly assigned to one of three experimental conditions: pre-task discussion (i.e., group members had discussions right at the beginning of the test), post-task (i.e., group members had discussions in the middle of the test) or no discussion. It was found that the influence of the pre-task discussion on a preliminary examination of regression data was not very explicit in accomplishing tasks involving judgement of data reasonableness and meaningfulness, correlation calculation, Excel programming, and statistical hypothesis testing. Yet, students who had pre-task discussion showed better quality in graph construction as well as graph characterization and also performed better in correlation interpretation and reasoning tasks than those who did not. Students could clarify their misunderstanding and/or refine their thoughts through post-task discussion but no improvements in comprehension of data were detected for correlation calculation; Excel programming, hypothesis testing, and correlation deduction as well as synthesis.

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Markov Processes: Exploring the Use of Dynamic Visualizations to Enhance Student Understanding

Cited by 11 publications

References 17 publications

A Systematic Review on Teaching Strategies for Fostering Students’ Statistical Thinking

A Systematic Review on Teaching Strategies for Fostering Students’ Statistical Thinking

Visualizing Markov Processes

An Experimental Study on Peer Collaboration and Student Performance in an IT Environment

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