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R W Kadel

Biographic Data

ID6885311
NAMER W Kadel
GIVEN NAMESR W
FAMILY NAMEKadel
SIGNATUREKADEL R W
AFFILIATIONSMelbourne Institute of Technology
ORCID0000-0001-9207-2148
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Educator–GenAI Partnership Model for Assessment Design to Foster Higher-Order Thinking

    Open Access•R W Kadel, Zhao Zou et al.•ARTICLE•Education Sciences•2026

    The rise of generative artificial intelligence (GenAI) is creating new opportunities for assessment design in universities, particularly in subjects that emphasize analytical and creative skills. This paper introduces the Educator–GenAI Partnership Model, an iterative five-stage model that helps educators create assessments that foster higher-order thinking (HOT). The model is grounded in constructive alignment and Bloom’s taxonomy, with a centra…

  • Reimagining Flipped Learning via Bloom’s Taxonomy and Student–Teacher–GenAI Interactions

    Open Access•Paul Kwan, R W Kadel et al.•ARTICLE•Education Sciences•2025

    This paper explores how generative artificial intelligence (GenAI) technologies, such as ChatGPT 4o and other AI-based conversational models, can be applied to flipped learning pedagogy to achieve enhanced learning outcomes for students. By applying Bloom’s taxonomy to intentionally align educational objectives to the key phases of flipped learning, our study proposes a model for assigning learning activities to pre-class, in-class, and post-clas…

  • Building Academic Integrity

    Open Access•Deepani B Guruge, R W Kadel et al.•ARTICLE•Societies•2025•References: 4

    Academic integrity is a cornerstone of education systems, yet the rise of contract cheating poses significant challenges for higher education institutions. Current approaches to managing contract cheating often lack the comprehensive structure needed to address the complexities of modern cheating methods. The primary objective of this study is to investigate the effectiveness of the proposed Three-Tier Framework (TTF), designed in our previous st…

  • Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education

    Open Access•Samar Shailendra, R W Kadel et al.•ARTICLE•IEEE Transactions on Education•2024

    Contributions: An adoption framework to include generative artificial intelligence (GenAI) in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes an objective approach based upon an evaluation matrix to assess the success and outcome of the GenAI adoption. Background: Universities worldwide are debating and strugglin…

  • Towards an Holistic Framework to Mitigate and Detect Contract Cheating within an Academic Institute—A Proposal

    Open Access•Deepani B Guruge, R W Kadel•ARTICLE•Education Sciences•2023

    There has been a growing number of contract cheating incidents recorded in Australia’s higher education system. Such activities create a significant threat to the validity and integrity of qualifications obtained by students. This paper introduces a conceptual framework to combat contract cheating by compiling the findings on domain analysis, institute-wide policy analysis, and by applying self-efficacy theories. The literature review on domain a…

  • An Empirical Study of Students’ Perception of and Key Factors Affecting Overall Satisfaction in an Intensive Block Mode and Flipped Classroom

    Open Access•Paul Kwan, Tayab Din Memon et al.•ARTICLE•Education Sciences•2022

    Results of recent studies have suggested that intensive methods of delivery might improve engagement, attendance, and achievement for students from diverse backgrounds. Contributing to this area of inquiry, this study assesses how students perceived their experience studying a certificate course that was delivered in an online intensive block mode and flipped classroom (BMFC), pedagogy amidst COVID-19 restrictions. The subjects were students enro…

No prominent works on this page.

  • An Empirical Study of Students’ Perception of and Key Factors Affecting Overall Satisfaction in an Intensive Block Mode and Flipped Classroom

    Open Access•Paul Kwan, Tayab Din Memon et al.•ARTICLE•Education Sciences•2022

    Results of recent studies have suggested that intensive methods of delivery might improve engagement, attendance, and achievement for students from diverse backgrounds. Contributing to this area of inquiry, this study assesses how students perceived their experience studying a certificate course that was delivered in an online intensive block mode and flipped classroom (BMFC), pedagogy amidst COVID-19 restrictions. The subjects were students enro…

  • Towards an Holistic Framework to Mitigate and Detect Contract Cheating within an Academic Institute—A Proposal

    Open Access•Deepani B Guruge, R W Kadel•ARTICLE•Education Sciences•2023

    There has been a growing number of contract cheating incidents recorded in Australia’s higher education system. Such activities create a significant threat to the validity and integrity of qualifications obtained by students. This paper introduces a conceptual framework to combat contract cheating by compiling the findings on domain analysis, institute-wide policy analysis, and by applying self-efficacy theories. The literature review on domain a…

  • Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education

    Open Access•Samar Shailendra, R W Kadel et al.•ARTICLE•IEEE Transactions on Education•2024

    Contributions: An adoption framework to include generative artificial intelligence (GenAI) in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes an objective approach based upon an evaluation matrix to assess the success and outcome of the GenAI adoption. Background: Universities worldwide are debating and strugglin…

  • Reimagining Flipped Learning via Bloom’s Taxonomy and Student–Teacher–GenAI Interactions

    Open Access•Paul Kwan, R W Kadel et al.•ARTICLE•Education Sciences•2025

    This paper explores how generative artificial intelligence (GenAI) technologies, such as ChatGPT 4o and other AI-based conversational models, can be applied to flipped learning pedagogy to achieve enhanced learning outcomes for students. By applying Bloom’s taxonomy to intentionally align educational objectives to the key phases of flipped learning, our study proposes a model for assigning learning activities to pre-class, in-class, and post-clas…

  • Building Academic Integrity

    Open Access•Deepani B Guruge, R W Kadel et al.•ARTICLE•Societies•2025•References: 4

    Academic integrity is a cornerstone of education systems, yet the rise of contract cheating poses significant challenges for higher education institutions. Current approaches to managing contract cheating often lack the comprehensive structure needed to address the complexities of modern cheating methods. The primary objective of this study is to investigate the effectiveness of the proposed Three-Tier Framework (TTF), designed in our previous st…

  • Educator–GenAI Partnership Model for Assessment Design to Foster Higher-Order Thinking

    Open Access•R W Kadel, Zhao Zou et al.•ARTICLE•Education Sciences•2026

    The rise of generative artificial intelligence (GenAI) is creating new opportunities for assessment design in universities, particularly in subjects that emphasize analytical and creative skills. This paper introduces the Educator–GenAI Partnership Model, an iterative five-stage model that helps educators create assessments that foster higher-order thinking (HOT). The model is grounded in constructive alignment and Bloom’s taxonomy, with a centra…

Computer Science (5 works) · Psychology (4 works) · Knowledge management (3 works) · Mathematics education (3 works) · Academic integrity (2 works) · Academic integrity and plagiarism (2 works) · Cheating (2 works) · Experimental Learning in Engineering (2 works) · Generative grammar (2 works) · Innovative Teaching Methods (2 works)

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