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Agneta Gulz

Researcher at Lund University

Publications -  81
Citations -  1308

Agneta Gulz is an academic researcher from Lund University. The author has contributed to research in topics: Educational technology & Conversation. The author has an hindex of 17, co-authored 80 publications receiving 1173 citations. Previous affiliations of Agneta Gulz include Linköping University.

Papers
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Journal ArticleDOI

Design of animated pedagogical agents-A look at their look

TL;DR: It is argued that users' visuo-aesthetic experience of animated pedagogical agents is too important with respect to the goals to motivate and engage, to be treated as a secondary issue and visual rendering issues are pressing and need to be seriously addressed.
Proceedings Article

Benefits of Virtual Characters in Computer Based Learning Environments: Claims and Evidence

TL;DR: A systematic overview is given of pedagogical benefits that have been proposed in the literature regarding character enhancement of electronic learning environments, for example increased motivation, stimulation of particular learning activities, enhanced flow of communication and fulfillment of a need for deeper personal relationships in learning.
Journal ArticleDOI

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

Social Enrichment by Virtual Characters--Differential Benefits.

TL;DR: The results of the study, as well as of several of the studies reviewed, indicate that responses and attitudes towards social aspects of virtual pedagogical characters are highly divergent.
Book ChapterDOI

A teachable-agent arithmetic game's effects on mathematics understanding, attitude and self-efficacy

TL;DR: A teachable-agent arithmetic game is presented and evaluated in terms of student performance, attitude and self-efficacy, and an emphasis on self- efficacy in the study as a strong predictor of math achievements.