Automated Evaluation Techniques and AI-Enhanced Methods DOI
Sajeel Ahmed,

Abira Zaki,

Yongmei Bentley

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: April 19, 2024

The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes higher education. They cover real-time mechanisms, AI-driven practices, evaluation AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing education by providing personalized grading criteria, analyzing student data, adjusting assessment criteria to accommodate diverse styles. This approach promotes engagement, fairness, equity, enabling educators tailor teaching strategies address gaps. emphasizes faculty training enhanced methods.

Language: Английский

Nudging Motivation to Learn English Through a ChatGPT Smartphone-Based Hybrid Model DOI

Muthmainnah Muthmainnah,

Eka Apriani, Prodhan Mahbub Ibna Seraj

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2023, Volume and Issue: unknown, P. 26 - 42

Published: Dec. 21, 2023

The artificial intelligence revolution as a medium and learning technology is increasingly popular in EFL. trend of using ChatGPT increasing. media that helps accelerating to help write, becomes teaching materials, resources with conversation system. purpose this research find out the motivation learn by developing function material EFL classes among undergraduate students at universities. As an AI-based material, was chosen consideration ease accessing fast information.

Language: Английский

Citations

6

AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms DOI Open Access
Yang Ming, Fwu Yuan Weng

Journal of Information Systems Engineering & Management, Journal Year: 2023, Volume and Issue: 8(1), P. 23196 - 23196

Published: Jan. 27, 2023

Since college students rely more on online education, artificial intelligence (AI) is changing virtual learning paths. The study shows how schools are personalising instruction and improving student engagement, comprehension, retention with AI algorithms data analytics. essay covers key features of AI-powered personalised , from content recommendations to customisable evaluations real-time feedback. critiques these innovations' ethical transparency difficulties, despite their potential benefits. It emphasises AI-driven teaching by highlighting prejudice privacy issues. can improve but it has limitations, recommending a balance between innovation scrutiny. The paper proposes federated address difficulties. Federated decentralises encourages diverse sets in localised environments reduce biases breaches. protects privacy, making viable education solution, as the shows. AI-facilitated customised may academic performance digital skills, according study. stresses ethics openness education. help ethically integrate into balancing personalisation.

Language: Английский

Citations

4

AI platform model on 4IR megatrend challenges: complex thinking by active and transformational learning DOI Creative Commons
Jorge Sanabria-Z,

Pamela Geraldine Olivo

Interactive Technology and Smart Education, Journal Year: 2024, Volume and Issue: 21(4), P. 571 - 587

Published: Feb. 3, 2024

Purpose The objective of this study is to propose a model for the implementation technological platform participants develop solutions problems related Fourth Industrial Revolution (4IR) megatrends, and taking advantage artificial intelligence (AI) their complex thinking through co-creation work. Design/methodology/approach development based on combination participatory action research user-centered design (UCD) methodologies, seeking ensure that user-oriented experiences authors. itself structured around active transformational learning (ATL) framework. Findings This highlights importance addressing 4IR megatrends in education prepare students technology-driven world. proposed model, ATL supported by AI, integrates essential competencies tackling challenges generating innovative solutions. integration AI into fosters personalized learning, collaboration reflection enhances creativity offering new insights tools, whereas UCD ensures alignment with user needs expectations. Originality/value presents an educational combines foster megatrends. Integrating engagement real-world critical while provides content, tutoring, data analysis creative support. collaborative encourages diverse perspectives collective intelligence, benefiting other researchers better conceive learner-centered platforms promoting 21st-century skills co-creation.

Language: Английский

Citations

1

E-Modules for Computer Network Practicum Based on Problem-Based Learning and Peer Tutoring: A Practical Solution to Develop 21st-Century Skills DOI Creative Commons

Lativa Mursyida,

Ika Parma Dewi, Agariadne Dwinggo Samala

et al.

Journal of Education Technology, Journal Year: 2024, Volume and Issue: 8(1), P. 77 - 85

Published: April 4, 2024

Learning in the era of Fourth Industrial Revolution requires innovation learning, one which is through learning media. E module a media that more efficient and flexible than conventional E-modules are integrated with appropriate models can help achieve optimal outcomes. This research aims to develop an electronic (e-module) for Computer Network Practicum based on Problem-Based (PBL) Peer Tutoring (PT) test its effectiveness enhancing 21st-century skills among students. The method applied Research Development (R&D), validity practicality evaluated by experts Effectiveness testing conducted comparing post-test results between experimental group using PBL PT e-modules control worksheets. findings indicate developed e-module has strong validity, easy implement, effective improving also significantly higher those group. implications this significant contributions development technology-based teaching materials enhance quality computer network practicum learning. implementation strategies be alternative designing oriented towards skills, serving as guide educators curriculum developers innovative approaches across various subjects.

Language: Английский

Citations

1

Automated Evaluation Techniques and AI-Enhanced Methods DOI
Sajeel Ahmed,

Abira Zaki,

Yongmei Bentley

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: April 19, 2024

The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes higher education. They cover real-time mechanisms, AI-driven practices, evaluation AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing education by providing personalized grading criteria, analyzing student data, adjusting assessment criteria to accommodate diverse styles. This approach promotes engagement, fairness, equity, enabling educators tailor teaching strategies address gaps. emphasizes faculty training enhanced methods.

Language: Английский

Citations

1