Realistic visualizations can aid transfer performance: Do distinctive shapes and descriptive labels contribute towards learning?
Background: Realistic visualizations have been associated with benefits in retention performance, but also with disadvantages in transfer tasks. Realistic details are considered to be helpful for the initial learning of content, but not for the generalization to other domains and tasks. Objectives:...
| Published in: | Journal of Computer Assisted Learning Vol. 38; no. 3; pp. 681 - 692 |
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| Format: | pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Jun2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156451505&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 156451505 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2022 vid: 38 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 156451505 154637664 156451505 156451505 10.1111/jcal.12640 156451505 ppf: 681 ppct: 11 formats: tig: atl: Realistic visualizations can aid transfer performance: Do distinctive shapes and descriptive labels contribute towards learning? aug: sug: subj: Learning Methods Virtual Reality Memory Human Male Female Data Analysis Software Two-Way Analysis of Variance Male Female ab: Background: Realistic visualizations have been associated with benefits in retention performance, but also with disadvantages in transfer tasks. Realistic details are considered to be helpful for the initial learning of content, but not for the generalization to other domains and tasks. Objectives: The contradictory nature of previous evidence needed to be tested in a situation in which both the retention of concrete surfaces as well as the transfer to different shapes is necessary. Methods: Three experiments were conducted to assess whether transfer tasks in which knowledge of surfaces needed to be transferred to variations can benefit from realism, shape distinctness, and descriptive labels. In Experiment 1, participants learned skull anatomy either in a schematic or a realistic style and completed near and far transfer tests. In Experiment 2, the realism and shape distinctness of a fictional bone model was varied. Subjective cognitive load, retention performance, and transfer scores were measured. Experiment 3 compared how distinct and less distinct shapes of another fictional bone model affect learning in combination with label texts of differing semantic descriptiveness. Results and Conclusions: In Experiment 1, performance in an anatomy learning task was raised by learning with a realistic visualization across near and far transfer tests. Experiment 2 revealed that extraneous cognitive load is increased for realistic visualizations when the depicted shapes lack distinctness. Experiment 3 suggests that when realistic visualizations feature less distinct shapes, learners struggle with descriptive labels in retention tests and benefit from similarly unspecific labels. Lay Description: What is currently known about the this topic: There are conflicting results concerning the effect of realism.In anatomy learning, realistic visualizations can benefit retention.In fields such as mathematics education, realistic details impede transfer.It is unknown whether realism helps learners transfer concrete information. What this paper adds: Transfer performance was raised by learning with a realistic visualization.The effects of shape distinctness and label descriptiveness are investigated. Implications for practitioners: The advantages of realism regarding transfer are highly situation‐specific.For the transfer of concrete surface information to other concrete shapes, realism can help.Realistic renderings should feature distinctive shapes to lower cognitive demands.Realism did not consistently raise transfer performance, but did not lower transfer scores. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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