Designing, Developing and Examining the Effectiveness of a Machine Learning–Based Mobile Recommendation System for Parents' Digital Parenting Skills

ABSTRACT It is of paramount importance that children are equipped with the requisite digital parenting skills to protect them from the risks and threats that they may encounter in the digital environment while also enabling them to seize the opportunities that the digital realm presents. Mobile recommendation systems (MRS) represent a significant intervention for the development of digital parenting competencies among adults. Nevertheless, there is no evidence in the literature of any attempt to develop the system. The objective of this study is to examine the process of developing an MRS for parents' digital parenting skills and to evaluate the effectiveness of the developed system through a pilot study. The study employed the developmental research Type 1 model. The study was structured in three stages: the design of the MRS, the development of the recommendation system (RS) and the pilot study. In order to facilitate the development of the MRS, three distinct working groups were established. The research yielded several key findings. Primarily, it established the theoretical foundation of the MRS, delineated the design principles to be considered in system design and elucidated their application in the system. Additionally, it identified the essential components and functions that should be incorporated into the system. In light of the expert opinions on compliance with andragogical principles, it was observed that the consideration of environmental factors emerged as a prominent theme. It was observed that the experts assigned the highest suitability scores to fault tolerance, low physical effort and an instructional environment in the system design. The system was found to be effective in terms of redundancy, sound and picture quality for all content titles and multimedia principles. The findings of this study indicate that the MRS may be an effective tool for fostering digital parenting skills. However, further research is necessary to develop age‐appropriate measures and to assess the long‐term impact of the system.

Authors

Institutions

Publication Details

Journal
Child & Family Social Work
Published
2024-08-11
DOI
https://doi.org/10.1111/cfs.13218
Citations
2
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
4.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing, Developing and Examining the Effectiveness of a Machine Learning–Based Mobile Recommendation System for Parents' Digital Parenting Skills

Sibel Somyürek, Hatice Yıldız Durak, Tolga Güyer, Şeyhmus Aydoğdu et al.
2 citations
Child & Family Social Work
Child Development and Digital Technology
4.19
article

Designing, Developing and Examining the Effectiveness of a Machine Learning–Based Mobile Recommendation System for Parents' Digital Parenting Skills

Sibel Somyürek, Hatice Yıldız Durak, Tolga Güyer, Şeyhmus Aydoğdu, Yıldız Özaydin Aydoğdu, M. Furkan Kurnaz
article en
2 citations

Abstract

ABSTRACT It is of paramount importance that children are equipped with the requisite digital parenting skills to protect them from the risks and threats that they may encounter in the digital environment while also enabling them to seize the opportunities that the digital realm presents. Mobile recommendation systems (MRS) represent a significant intervention for the development of digital parenting competencies among adults. Nevertheless, there is no evidence in the literature of any attempt to develop the system. The objective of this study is to examine the process of developing an MRS for parents' digital parenting skills and to evaluate the effectiveness of the developed system through a pilot study. The study employed the developmental research Type 1 model. The study was structured in three stages: the design of the MRS, the development of the recommendation system (RS) and the pilot study. In order to facilitate the development of the MRS, three distinct working groups were established. The research yielded several key findings. Primarily, it established the theoretical foundation of the MRS, delineated the design principles to be considered in system design and elucidated their application in the system. Additionally, it identified the essential components and functions that should be incorporated into the system. In light of the expert opinions on compliance with andragogical principles, it was observed that the consideration of environmental factors emerged as a prominent theme. It was observed that the experts assigned the highest suitability scores to fault tolerance, low physical effort and an instructional environment in the system design. The system was found to be effective in terms of redundancy, sound and picture quality for all content titles and multimedia principles. The findings of this study indicate that the MRS may be an effective tool for fostering digital parenting skills. However, further research is necessary to develop age‐appropriate measures and to assess the long‐term impact of the system.

Child & Family Social WorkVol. 30(4)
Nevşehir Hacı Bektaş Veli University (TR), Necmettin Erbakan University (TR), Gazi University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Quality Education
Openalex Percentile: Top 6%
Child Development and Digital Technology
4.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.