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Fergusson, Anna; Pfannkuch, Maxine – Mathematical Thinking and Learning: An International Journal, 2022
The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…
Descriptors: Foreign Countries, Data Science, Statistics Education, Mathematical Models
Introducing High School Statistics Teachers to Predictive Modelling and APIs Using Code-Driven Tools
Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games