P
Paulina Lindström
Researcher at Lund University
Publications - 16
Citations - 281
Paulina Lindström is an academic researcher from Lund University. The author has contributed to research in topics: Eye tracking & Eye movement. The author has an hindex of 7, co-authored 16 publications receiving 241 citations.
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A teachable-agent-based game affording collaboration and competition: evaluating math comprehension and motivation
TL;DR: This article presented an educational game in mathematics based on an apprenticeship model using a teachable agent, as well as an evaluative study of how the game affects conceptual understanding and attitudes towards mathematics.
Journal ArticleDOI
Reading mathematics representations: an eye-tracking study
Chiara Andrà,Paulina Lindström,Ferdinando Arzarello,Kenneth Holmqvist,Ornella Robutti,Cristina Sabena +5 more
TL;DR: In this article, eye tracking is used to examine how different mathematical representations of the same mathematical object are attended to by students, and the results show that there is a meaningful difference in the eye movements between formulas and graphs.
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Matching and Mismatching between the Pedagogical Design Principles of a Math Game and the Actual Practices of Play.
TL;DR: The result highlights the difficulty of predicting areas in which possible mismatches appear between the intentions of the pedagogues and designers of educational technology, and the actual use of the technology by the students.
How students read mathematical representations: An eye tracking study
Chiara Andrà,Ferdinando Arzarello,Francesca Ferrara,Kenneth Holmqvist,Paulina Lindström,Ornella Robutti,Cristina Sabena +6 more
Journal ArticleDOI
A method for quantifying focused versus overview behavior in AOI sequences
Kenneth Holmqvist,Chiara Andrà,Paulina Lindström,Ferdinando Arzarello,Francesca Ferrara,Ornella Robutti,Christina Sabena +6 more
TL;DR: A new measure for evaluating focused versus overview eye movement behavior in a stimulus divided by areas of interest is presented, which can be used for overall data, as well as data over time.