Human-centred learning analytics and AI in education: A systematic literature review [PDF]
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but raises concerns about data privacy and agency.
Riordan Alfredo +6 more
doaj +2 more sources
Learning analytics in virtual laboratories: a systematic literature review of empirical research. [PDF]
Remote learning has advanced from the theoretical to the practical sciences with the advent of virtual labs. Although virtual labs allow students to conduct their experiments remotely, it is a challenge to evaluate student progress and collaboration ...
Elmoazen R, Saqr M, Khalil M, Wasson B.
europepmc +2 more sources
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. [PDF]
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning ...
Ouyang F +4 more
europepmc +2 more sources
Recent advances in Predictive Learning Analytics: A decade systematic review (2012-2022). [PDF]
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process ...
Sghir N, Adadi A, Lahmer M.
europepmc +2 more sources
Learning analytics dashboard: a tool for providing actionable insights to learners. [PDF]
This study investigates current approaches to learning analytics (LA) dashboarding while highlighting challenges faced by education providers in their operationalization. We analyze recent dashboards for their ability to provide actionable insights which
Susnjak T, Ramaswami GS, Mathrani A.
europepmc +2 more sources
Learning analytics: state of the art. [PDF]
Learning Analytics is a field that measures, analyses, and reports data about students and their contexts to understand/improve learning and the place in which it occurs. Educational institutions have different motivations to use Learning Analytics. Some
Hernández-de-Menéndez M +3 more
europepmc +2 more sources
Learning analytics in higher education: a preponderance of analytics but very little learning? [PDF]
In a context where learning mediated by technology has gained prominence in higher education, learning analytics has become a powerful tool to collect and analyse data with the aim of improving students’ learning. However, learning analytics is part of a
Guzmán-Valenzuela C +3 more
europepmc +2 more sources
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle [PDF]
Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other state-of-the-art large language models and diffusion models, holds significant potential for transforming education and enhancing human productivity.
Lixiang Yan +2 more
semanticscholar +1 more source
Have Learning Analytics Dashboards Lived Up to the Hype? A Systematic Review of Impact on Students' Achievement, Motivation, Participation and Attitude [PDF]
While learning analytics dashboards (LADs) are the most common form of LA intervention, there is limited evidence regarding their impact on students’ learning outcomes. This systematic review synthesizes the findings of 38 research studies to investigate
Rogers Kaliisa +4 more
semanticscholar +1 more source
Can large language models write reflectively
Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of generative
Yuheng Li +8 more
doaj +1 more source

