2019
DOI: 10.1007/978-3-030-15569-8_1
|View full text |Cite
|
Sign up to set email alerts
|

Game-Based Assessment: The Past Ten Years and Moving Forward

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
27
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
3
1
1

Relationship

1
8

Authors

Journals

citations
Cited by 40 publications
(30 citation statements)
references
References 27 publications
1
27
0
Order By: Relevance
“…On the other hand, university students who spend more time playing VG value the epistemic thinking features as much as the pragmatic aspects, which may be linked to a certain knowledge about VG that allows them to value potential learning aspects that are not detected by teachers whose use is more amateurish. These results confirm the findings of studies aimed at analyzing the characteristics of VG as learning enhancers (Alhabash & Wise, 2012;Aprea & Ifenthaler, 2021;Bachen et al, 2016;Eseryel, et al, 2014;Ge & Ifenthaler, 2017;Howard-Jones et al, 2011;Huizinga et al, 2017;Kim & Ifenthaler, 2019;Malinverni & Pares, 2014).…”
Section: Discussionsupporting
confidence: 85%
See 1 more Smart Citation
“…On the other hand, university students who spend more time playing VG value the epistemic thinking features as much as the pragmatic aspects, which may be linked to a certain knowledge about VG that allows them to value potential learning aspects that are not detected by teachers whose use is more amateurish. These results confirm the findings of studies aimed at analyzing the characteristics of VG as learning enhancers (Alhabash & Wise, 2012;Aprea & Ifenthaler, 2021;Bachen et al, 2016;Eseryel, et al, 2014;Ge & Ifenthaler, 2017;Howard-Jones et al, 2011;Huizinga et al, 2017;Kim & Ifenthaler, 2019;Malinverni & Pares, 2014).…”
Section: Discussionsupporting
confidence: 85%
“…Regarding this last point about what type of VG use can be more effective, it can be explained by the different ways of playing or using these VG. Traditionally, it has been assumed that VG favor learning due to specific characteristics linked to their own design (Kors, et al, 2015;Mitgustsch & Alvarado, 2012;Smith & Just, 2017) such as the immediate feedback they provide to the player's actions, their playful character that favors motivation, by stimulating the dopaminergic reward system with its reinforcers (Aprea & Ifenthaler, 2021;Eseryer et al, 2014;Greenfield, 2014;Howard-Jones et al, 2011;Kim & Ifenthaler, 2019), the facility to embody oneself in the characters, which favors the cognitive or emotional empathy (Alhabash & Wise, 2012;Aprea & Ifenthaler, 2021;Bachen et al, 2016), or the enactive learning they promote, from the action itself and without the need for reflection on the actions (Pozo, 2017).…”
Section: Introduction and State Of The Artmentioning
confidence: 99%
“…Learning Analytics (LA) is a field of research and practice that aims to collect and analyze data generated by a learner in a given environment, which in this case can be applied to educational game data. This data analysis is not only useful for the evaluation of the students [13], but it can also be used for future improvements in the design of educational games, to personalize the difficulty of the scenarios according to the student's abilities [2] or as in our case study, to identify strange behaviors or difficulties of the student when facing a task. Finally, one of the main advantages of data analysis is to increase student engagement and improve learning, as engagement and learning are linked [5,9].…”
Section: Related Workmentioning
confidence: 99%
“…Due the highly interactive and open-ended nature of game environments, they present rich opportunities to assess how students are learning based on the process instead of simply relying on the final game performance [ 8 , 9 , 10 ]. For example, Harpstead et al [ 11 ] discuss how the open-ended nature of the game environment can lead to development conceptual knowledge as well as learning through failure.…”
Section: Introductionmentioning
confidence: 99%