Developing a design thinking artificial intelligence driven auto-marking/grading system for assessments to reduce the workload of lecturers at a higher learning institution in South Africa DOI Creative Commons

Khanyisile Yanela Twabu,

Mathabo Nakene-Mginqi

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: Dec. 17, 2024

This study explores the development and implementation of a design thinking Artificial Intelligence (AI)-driven auto-marking/grading system for practical assessments accurate feedback aimed at alleviating workload lecturers an Online Distance eLearning (ODeL) institution in South Africa. The adopts iterative approach to designing prototyping system, ensuring alignment with unique needs challenges ODeL higher learning (HLI). outlines Design framework developing AI emphasizing empathy user needs, clear problem definition, ideation, prototyping, testing, improvements. Integrating such promises enhance operational efficiency, ensure fair unbiased grading assessments, provide students consistent, timely, personalized feedback. Tapping on theorists as Michael Foucault Joseph Schumpeter, this contributes ongoing discourse innovative solutions educational Africa by employing qualitative research methods. It provides insights implementing AI-driven systems education settings. Cognizant data privacy laws, will highlight essential adherence ethical guidelines automated assessment processes successful ODeL. Additionally, aligns several Sustainable Development Goals (SDGs), Good Health Wellbeing (SDG 3), Quality Education 4), Decent Work Economic Growth 8), Industry, Innovation, Infrastructure 9). have follow-up article that report collected, we conduct another where seek users’ regarding system.

Language: Английский

Determinants of carbon dioxide emissions in technology revolution 6.0: new insights from Brunei DOI Creative Commons
Vu Ngoc Xuan

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101633 - 101633

Published: Jan. 1, 2025

Language: Английский

Citations

2
Integrating artificial intelligence in biodiversity conservation: bridging classical and modern approaches DOI
Fazal Ullah, Saddam Saqib, You–Cai Xiong

et al.

Biodiversity and Conservation, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Language: Английский

Citations

7
Nexus of innovation, renewable energy, FDI, trade openness, and economic growth in Germany: New insights from ARDL method DOI
Vu Ngoc Xuan

Renewable Energy, Journal Year: 2025, Volume and Issue: 247, P. 123060 - 123060

Published: April 8, 2025

Language: Английский

Citations

0
Innovation in Healthcare Business Methods: A Comparative Patent Analysis DOI Creative Commons
Cássia Rita Pereira da Veiga, Claudimar Pereira da Veiga, Marcelo Machado

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2024, Volume and Issue: 10(4), P. 100428 - 100428

Published: Nov. 14, 2024

Language: Английский

Citations

0
Determinants of Environmental Pollution in China: Novel Findings from ARDL Method DOI Creative Commons
Vu Ngoc Xuan

Environmental Health Insights, Journal Year: 2024, Volume and Issue: 18

Published: Jan. 1, 2024

This study examines how EC, FF use, RC, POP growth, trade, GDP, and CO 2 emissions are interrelated in China. It aims to clarify these factors together impact environmental pollution economic sustainability. The motivation stems from China’s dual challenge of sustaining growth while mitigating degradation, particularly emissions. Understanding the intricate relationships among variables is critical for shaping adequate energy policies context growing role as a global power. empirical methodology utilizes time-series data 2000 2023 applies econometric techniques, including Autoregressive Distributed Lag (ARDL). These methods allow exploring both long-term short-term dynamics identifying causal relationships. key findings reveal significant relationship between emissions, with RC increasingly crucial carbon In short term, there bidirectional causality utilization indicating mutual feedback demand development. trade activities also significantly influence patterns policy implications profound: China must prioritize promoting enhancing efficiency, strengthening regulations decouple degradation. Policies should integrate sustainable urban planning international cooperation accelerate transition low-carbon economy. strategies ensure can meet its goals without compromising

Language: Английский

Citations

0
Developing a design thinking artificial intelligence driven auto-marking/grading system for assessments to reduce the workload of lecturers at a higher learning institution in South Africa DOI Creative Commons

Khanyisile Yanela Twabu,

Mathabo Nakene-Mginqi

Frontiers in Education, Journal Year: 2024, Volume and Issue: 9

Published: Dec. 17, 2024

This study explores the development and implementation of a design thinking Artificial Intelligence (AI)-driven auto-marking/grading system for practical assessments accurate feedback aimed at alleviating workload lecturers an Online Distance eLearning (ODeL) institution in South Africa. The adopts iterative approach to designing prototyping system, ensuring alignment with unique needs challenges ODeL higher learning (HLI). outlines Design framework developing AI emphasizing empathy user needs, clear problem definition, ideation, prototyping, testing, improvements. Integrating such promises enhance operational efficiency, ensure fair unbiased grading assessments, provide students consistent, timely, personalized feedback. Tapping on theorists as Michael Foucault Joseph Schumpeter, this contributes ongoing discourse innovative solutions educational Africa by employing qualitative research methods. It provides insights implementing AI-driven systems education settings. Cognizant data privacy laws, will highlight essential adherence ethical guidelines automated assessment processes successful ODeL. Additionally, aligns several Sustainable Development Goals (SDGs), Good Health Wellbeing (SDG 3), Quality Education 4), Decent Work Economic Growth 8), Industry, Innovation, Infrastructure 9). have follow-up article that report collected, we conduct another where seek users’ regarding system.

Language: Английский

Citations

0