MATE-BOOSTER: Design of Tasks for Automatic Formative Assessment to Boost Mathematical Competence

Barana, Alice; Marchisio, Marina; Miori, Raffaella

doi:10.1007/978-3-030-58459-7_20

Cited by 8 publications

(1 citation statement)

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“…From December 2017 to June 2018 some experimental activities took places in all the classes. All students with their teachers had access to an online course in a Moodle platform appositely designed for the project, populated with interactive materials designed by the research group according to specific educational models related to problem solving and formative assessment [43,44]. The materials were interactive worksheets with real-life mathematical problems, created through an Advanced Computing Environment (ACE) [28], which is an innovative tool to do Mathematics, coupled with online quizzes with automatic formative assessment created through Moebius Assessment.…”

Section: Methodsmentioning

confidence: 99%

An interactive learning environment to empower engagement in Mathematics

Barana¹,

Marchisio²

2020

IxD&A

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This paper is focused on understanding if the use of interactive activities based on problem solving and automatic formative assessment in a blended learning environment can promote the development of engagement in Mathematics for students of grade 8. In this context, engagement is characterized as a multidimensional construct composed of an emotional component, a cognitive component and a behavioral one. The discussion is based on the results of a didactic experimentation conducted with 299 students of grade 8 who, during one entire school year, had access to an online platform rich in interactive learning materials used in blended modality. Through an initial and a final questionnaire, evolutions in their engagement levels were measured. We found that the initially most disengaged students and those coming from lowest social classes are those who mainly benefitted of the interactive activities in order to improve their engagement levels.

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Section: Methodsmentioning

confidence: 99%