Developing Digital Literacies Through Continuing Professional Development

Conole, Gráìnne

doi:10.24250/jpe/1/2018/gc

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Understanding digital social dynamics is paramount in this technological era, as digital and social media have reshaped social interactions and communication, redistributed symbolic resources and altered public participation. These dynamics extend to various domains, including education, health care, and the workplace, where the impact of digital technology requires a nuanced understanding of digital media's role in intergenerational communication, digital health literacy, and the workplace [4]. The significance of these dynamics is further highlighted in the context of Society 5.0, where technological advancements are integral to societal transformation [5].…”

Section: Introductionmentioning

confidence: 99%

Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior

2024

J. Appl. Data Sci.

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This study compares Logistic Regression and Random Forest in predicting e-commerce customer churn. Utilizing the E-commerce Customer dataset, it navigates the complexities of customer interactions and behaviors, offering a rich context for analysis. The methodology focuses on meticulous data preprocessing to ensure data integrity, setting the stage for applying and evaluating Logistic Regression and Random Forest. Both models were assessed using accuracy, precision, recall, F1-Score, and AUC-ROC. Logistic Regression showed an accuracy of 90%, precision of 91% for class 0 and 82% for class 1, recall of 98% for class 0 and 50% for class 1, F1-Score of 94% for class 0 and 62% for class 1, and AUC-ROC of 0.88. Random Forest, with its ability to handle complex patterns, demonstrated higher overall performance with an accuracy of 95%, precision of 95% for class 0 and 93% for class 1, recall of 99% for class 0 and 74% for class 1, F1-Score of 97% for class 0 and 82% for class 1, and an AUC-ROC of 0.97. This comparative analysis offers insights into each model's strengths and suitability for predicting customer churn. The findings contribute to a deeper understanding of machine learning applications in e-commerce, guiding stakeholders in enhancing customer retention strategies. This research provides a foundation for further exploration into the digital social dynamics that shape customer behavior in the evolving digital marketplace.

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Section: Introductionmentioning

confidence: 99%

Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior

2024

J. Appl. Data Sci.

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“…Among the many models of learning design (Dalziel et al, 2016), one of the best known is the 7Cs of Learning Design (Conole, 2014;Conole, 2018). This supports educators' design decisions from initial conceptualisation of learning to final evaluation, while supporting replication of learning and teaching experiences.…”

Section: Introductionmentioning

confidence: 99%

Adapting OER: Addressing the Challenges of Reuse When Designing for HE Capacity Development

Goshtasbpour¹,

Ferguson²,

Pitt³

et al. 2022

ECEL

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Changes in learning and teaching due to COVID-19 have prompted higher education (HE) institutions to develop strategies and skills related to technology-supported education, creating development opportunities that help staff teach and support students in online or blended situations. Using open educational resources (OER) meant training could be developed and localised quickly. However, there has been little research into the use of OER to meet urgent, unanticipated teaching needs. This paper provides a critical reflective account of learning design for the use of OER in a national capacity development initiative in Kenya as part of the Foreign, Commonwealth and Development Office (FCDO) funded Skills for Prosperity Kenya project. Development of this OER was led by The Open University in partnership with 37 Kenyan universities. The initiative was designed to develop the knowledge and skills of educators, educational leaders, and support staff. The contribution of this paper is that it identifies challenges encountered when adapting OER for use in a technologically low-resourced context, showing how these can be addressed successfully at different learning design stages. Challenges were identified using the 7Cs of Learning Design (Conole, 2014): conceptualise, create, communicate, collaborate, consider, combine and consolidate. The paper concludes with recommendations for design practice and creating and remixing OER.

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Developing Digital Literacies Through Continuing Professional Development

Cited by 2 publications

References 8 publications

Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior

Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior

Adapting OER: Addressing the Challenges of Reuse When Designing for HE Capacity Development

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