2019
DOI: 10.1111/bjet.12876
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Intelligent analysis and data visualisation for teacher assistance tools: The case of exploratory learning

Abstract: While it is commonly accepted that Learning Analytics (LA) tools can support teachers' awareness and classroom orchestration, not all forms of pedagogy are congruent to the types of data generated by digital technologies or the algorithms used to analyse them. One such pedagogy that has been so far underserved by LA is exploratory learning, exemplified by tools such as simulators, virtual labs, microworlds and some interactive educational games. This paper argues that the combination of intelligent analysis of… Show more

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Cited by 35 publications
(21 citation statements)
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“…(2019) empowered online teachers by using predictive learning analytics (PLA) to identify the students at risk of failing their courses and help these students to achieve better learning outcomes. Mavrikis, Geraniou, Gutierrez Santos, and Poulovassilis (2019) combined the intelligent analysis of interaction data from an exploratory learning environment with data visualisations and empirically demonstrated the usefulness of this approach in supporting classroom orchestration. While AI techniques provide promising support for online learning activities and research, Luckin and Cukurova (2019) argued that incorporating interdisciplinary learning sciences research in data analysis can power the AI educational technologies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(2019) empowered online teachers by using predictive learning analytics (PLA) to identify the students at risk of failing their courses and help these students to achieve better learning outcomes. Mavrikis, Geraniou, Gutierrez Santos, and Poulovassilis (2019) combined the intelligent analysis of interaction data from an exploratory learning environment with data visualisations and empirically demonstrated the usefulness of this approach in supporting classroom orchestration. While AI techniques provide promising support for online learning activities and research, Luckin and Cukurova (2019) argued that incorporating interdisciplinary learning sciences research in data analysis can power the AI educational technologies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…AI has achieved good results in the education field, which include providing better learning experiences (Dede, Grotzer, Kamarainen, & Metcalf, 2017;Koć-Januchta, Schönborn, Tibell, Chaudhri, & Heller, 2020), reducing teachers' workload (Mavrikis, Geraniou, & Poulovassilis, 2019;Westera, Dascalu, Kurvers, Ruseti, & Trausan-Matu, 2018), and offering timely feedback (Banszki et al, 2018;Kao, Chiang, & Foulsham, 2019;Lee, Yu, Tang, Wong, & Poon, 2018). Further advances could be achieved by combining efficient educational approaches with AI technology to make learning more effective and tailored to the student.…”
Section: Discussionmentioning
confidence: 99%
“…AI and related techniques have been deployed and applied in many sectors, and provide inestimable possibilities to transform current businesses (Canbek & Mutlu, 2016). Education was a discipline previously dominated by human-human interaction between tutors and learners, is now gradually supplemented by AI-enabled digital techniques Mavrikis, Geraniou, Gutierrez Santos, & Poulovassilis, 2019;Roll & Wylie, 2016). Several innovative educational products have claimed their adoption of AI-enabled techniques to facilitate learning performance, with applications ranging from chatbots with natural language processing techniques that enable communication between machine and individual learners, to intelligent tutoring systems that customize learning materials and adjust teaching styles towards learners through the simulation of human intelligence (Crossley et al, 2016;Cukurova et al, 2019).…”
Section: Related Background Ai Applications In Educationmentioning
confidence: 99%