Evaluating the Efficacy of Generative Artificial Intelligence in Grading: Insights from Authentic Assessments in Economics DOI
Minh Nhat Nguyen, Binh Nguyen Thanh, Diem Thi Hong Vo

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This study explores how Generative Artificial Intelligence (AI) can assist educators in grading, especially authentic assessments within economics education. Authentic assessments, crucial for developing 21st-century skills, often involve complex, take-home assignments that challenge students to apply theoretical knowledge practical situations. These assignments, though essential, pose grading challenges due time constraints and potential biases. Addressing this, the introduces a framework assess AI's effectiveness using tools like ChatGPT4. The involves comparing human expert evaluations with those generated by AI, across various cognitive levels of Bloom's taxonomy. research specifically examines ability grade text data analysis questions, its consistency markers, while also considering biases halo confirmation effects. findings indicate ChatGPT4 aligns closely lower-level tasks text-based it falls short higher-level tasks. not only highlights AI enhancing efficiency reducing higher education but points out limitations, offering insights policymakers.

Language: Английский

Smooth Talking: Generative Versus Scripted Coaching Chatbot Adoption and Efficacy Comparison DOI Creative Commons
Nicky Terblanche

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Nov. 11, 2024

Workplace coaching is an essential individual and organizational development intervention, but high costs limit its application. AI chatbots could scale coaching, however, traditional scripted lacks mainstream adoption due to limited context awareness robotic responses. Recent advances in large language models generative offer alternative, linked risks controversies. Should use AI? We compared a scripted, rules-based chatbot (ScriptBot, n = 126) with (GenBot, 116) randomized controlled trail experiment. measured technology (UTAUT2), self-determination (autonomy, competence, relatedness) goal attainment. For all variables, GenBot outperformed ScriptBot. However, for attainment there was no significant difference. Using improves outcomes, highly structured interactions such as attainment, conversations (with lower risk) seem work just well.

Language: Английский

Citations

2

4D/5D/6D Printing Technology in the Architecture, Engineering, and Construction (AEC) Industry: Applications, Challenges, and Future Advancements DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The convergence of 4D, 5D, and 6D printing technologies with the Architecture, Engineering, Construction (AEC) sector has ushered in an era unparalleled innovation efficiency. This study delves into diverse applications, obstacles, forthcoming advancements these cutting-edge within AEC industry. 4D printing, marked by materials that can self-transform or assemble over time, revolutionized architectural design enabling dynamic structures respond to environmental stimuli. 5D seamlessly integrates cost estimation fabrication process, ensuring real-time project budgeting management. Additionally, incorporates sustainability data, providing architects engineers insights long-term impact their designs. These applications collectively enhance industry's capacity create are sustainable, cost-effective, adaptable. Despite promising challenges persist. Material constraints, scalability production, need for standardized processes present significant obstacles. Furthermore, integrating intricate data streams demands robust computational algorithms efficient management systems. Ethical concerns surrounding intellectual property, security, also require careful consideration. To surmount challenges, ongoing research focuses on advancing material science, innovative techniques, development intelligent algorithms. Collaboration among interdisciplinary teams, including architects, engineers, computer scientists, experts, is crucial unlocking full potential technologies. integration artificial intelligence machine learning holds promise streamlining optimizing usage, enhancing predictive modeling. approach paves way a more sustainable Embracing essential navigate complexities modern architecture, resilient built environment future generations.

Language: Английский

Citations

5

Healthcare Metaverse: Applications, Challenges, and Future Development DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The incorporation of metaverse technologies into the healthcare sector has emerged as a revolutionary paradigm, creating new possibilities for patient care, medical research, and education. This paper explores varied applications, challenges, future prospects Healthcare Metaverse within different subfields, utilizing spectrum technologies. In domain facilitates remote consultations, monitoring, development personalized treatment plans. Virtual Reality (VR) Augmented (AR) provide immersive simulations, assisting patients in rehabilitation mental health interventions. Furthermore, investigates potential elevating education by enabling students practitioners to participate realistic, interactive scenarios surgical simulations. Medical research reaps benefits through collaborative platforms that transcend geographical boundaries. Researchers can engage shared virtual environments, thereby accelerating pace discovery innovation. delves application blockchain technology ensure secure transparent data sharing, which is crucial advancing knowledge. challenges implementing Metaverse, including concerns related privacy, technological interoperability, ethical considerations. It addresses these proposes strategies mitigation, underscoring significance interdisciplinary collaboration regulatory frameworks. Looking ahead, envisions evolution with integration emerging such Artificial Intelligence (AI), haptic feedback, Internet Things (IoT). These advancements hold promise improved diagnostic capabilities, approaches, enhanced outcomes. Across diverse surgery, diagnostics, health, rehabilitation, showcases its versatility. study reviews impact VR, AR, Mixed (MR) on each subfield, highlighting their unique contributions synergies. serves guiding resource professionals, researchers, policymakers navigating dynamic intersection

Language: Английский

Citations

5

ChatGPT and Generative AI in Educational Ecosystems DOI
Ahmad Haidar

Advances in educational marketing, administration, and leadership book series, Journal Year: 2024, Volume and Issue: unknown, P. 70 - 100

Published: Feb. 12, 2024

Generative artificial intelligence (GenAI) is transforming the education landscape, with ChatGPT emerging as a pervasive force in student engagement and pedagogical methods. A systematic rapid review of 43 studies dissects ChatGPT's nuanced role education, highlighting its capacity to transform passive learning into an interactive engaging process. The analysis ventures dark side from perspectives educators students, concerns about academic misconduct, reliability information provided by ChatGPT, digital safety, bias, data privacy, integrity, threats traditional online assessments, potential erosion critical thinking skills. To responsibly integrate AI educational frameworks, chapter delineates strategic recommendations that ensure technological advancements align safeguarding standards fostering secure environment. This offers guide for institutions harness AI's while mitigating risks ethically.

Language: Английский

Citations

1

Evaluating the Efficacy of Generative Artificial Intelligence in Grading: Insights from Authentic Assessments in Economics DOI
Minh Nhat Nguyen, Binh Nguyen Thanh, Diem Thi Hong Vo

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This study explores how Generative Artificial Intelligence (AI) can assist educators in grading, especially authentic assessments within economics education. Authentic assessments, crucial for developing 21st-century skills, often involve complex, take-home assignments that challenge students to apply theoretical knowledge practical situations. These assignments, though essential, pose grading challenges due time constraints and potential biases. Addressing this, the introduces a framework assess AI's effectiveness using tools like ChatGPT4. The involves comparing human expert evaluations with those generated by AI, across various cognitive levels of Bloom's taxonomy. research specifically examines ability grade text data analysis questions, its consistency markers, while also considering biases halo confirmation effects. findings indicate ChatGPT4 aligns closely lower-level tasks text-based it falls short higher-level tasks. not only highlights AI enhancing efficiency reducing higher education but points out limitations, offering insights policymakers.

Language: Английский

Citations

1