The design and implementation of a teaching and learning analytics tool in a face-to-face, small-sized course in China’s higher education

Zhang, Liyin; Wu, Mian; Ouyang, Fan

doi:10.1007/s10639-023-11940-0

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Cited by 3 publications

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An AI-enabled feedback-feedforward approach to promoting online collaborative learning

Zheng,

Fan,

Chen

et al. 2023

Educ Inf Technol

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An AI-enabled feedback-feedforward approach to promoting online collaborative learning

Zheng,

Fan,

Chen

et al. 2023

Educ Inf Technol

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AI-Driven Learning Analytics for Personalized Feedback and Assessment in Higher Education

Vashishth,

Sharma,

Sharma

et al. 2024

Advances in Media, Entertainment, and the Arts

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Advancements in artificial intelligence (AI) and learning analytics have opened up new possibilities for personalized education in higher education institutions. This chapter explores the potential of AI-driven learning analytics in higher education, focusing on its application in personalized feedback and assessment. By leveraging AI algorithms and data analytics, personalized feedback can be provided to students, targeting their specific strengths and areas for improvement. Adaptive and formative assessments can also be facilitated through AI-driven learning analytics, enabling personalized and accurate evaluation of students' knowledge and skills. However, ethical considerations, implementation challenges, and faculty training are crucial aspects that must be addressed for successful adoption. As technology continues to evolve, embracing AI-driven learning analytics can enhance student engagement, support individualized learning, and optimize educational outcomes.

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Transforming Classroom Dynamics

Vashishth,

Sharma,

Sharma

et al. 2024

AI-Enhanced Teaching Methods

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The integration of artificial intelligence (AI) in education is reshaping classroom dynamics and fostering a social impact on teaching and learning. This chapter explores the historical evolution of classroom dynamics, from traditional settings to 21st-century learning environments, highlighting the pivotal role of AI in this transformative journey. Understanding AI in education involves delving into its historical overview and current landscape. The research investigates AI's influence on teacher support and development, encompassing AI-assisted lesson planning, teacher training, and enhanced classroom management. The conclusion reflects on the future directions and trends, emphasizing the global potential of AI to democratize education, address language barriers, and provide inclusive learning experiences. The study envisions a future where AI optimally contributes to creating a more equitable, interconnected, and culturally sensitive educational landscape globally.

show abstract

The design and implementation of a teaching and learning analytics tool in a face-to-face, small-sized course in China’s higher education

Cited by 3 publications

References 61 publications

An AI-enabled feedback-feedforward approach to promoting online collaborative learning

An AI-enabled feedback-feedforward approach to promoting online collaborative learning

AI-Driven Learning Analytics for Personalized Feedback and Assessment in Higher Education

Transforming Classroom Dynamics

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