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  4. Enhancing Problem-Solving Skills with Smart Personal Assistant Technology
 
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Enhancing Problem-Solving Skills with Smart Personal Assistant Technology

Journal
Computers & Education
ISSN
0360-1315
Type
journal article
Date Issued
2021-05-01
Author(s)
Winkler, Rainer  
Söllner, Matthias  
Leimeister, Jan Marco  
DOI
10.1016/j.compedu.2021.104148
Research Team
IWI6
Abstract
Smart Personal Assistants (SPAs; such as Amazon’s Alexa or Google’s Assistant) let users interact with computers in a more natural and sophisticated way that was not possible before. Although there exists an increasing amount of research of SPA technology in education, empirical evidence of its ability to offer dynamic scaffolding to enhance students problem-solving skills is still scarce. To fill this gap, the aim of this paper is to find out whether interactions with scaffolding-based SPA technology enable students to internalize and apply problem-solving steps on their own in a 10th grade high school and a vocational business school class. Students in the experiment classes completed their assignments using Smart Personal Assistants, whereas students in the control classes completed the same assignments using traditional methods. This study used a mixed-method approach consisting of two field quasi-experiments and one post-experiment focus group discussion. The empirical results revealed that students in the experiment classes acquired significantly more problem-solving skills than those in the control classes (Study 1: p = 0.0396, study 2: p < 0.001), and also uncovered several changes in students’ learning processes. The findings provide first empirical evidence for the value of using SPA technology on skill development in general, and on problem-solving skill development in particular.
Language
English
Keywords
Field quasi-experiment
Mixed-method
Problem-solving skills
Scaffolding
Smart Personal Assistant Technology
Technology-mediated learning
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Elsevier
Volume
165
Start page
104148
End page
104148
Official URL
https://www.sciencedirect.com/science/article/pii/S0360131521000257
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/110431
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
262238
File(s)
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Thumbnail Image

open.access

Name

JML_824.pdf

Size

1.83 MB

Format

Adobe PDF

Checksum (MD5)

aa842f049e3a226da1ad9e7f7ed1a349

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