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Having an in-depth understanding of learners' behaviours and learning patterns will be very important to researchers and educators in developing more effective learning tools and strategies.
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The proposed framework exploits cognitive computing for the enhancement of decision making in education by proving the capacity of Learning Analytics to reveal hidden patterns of learners' behaviour and attitude.
There is also ample evidence from the learners themselves who have graduated from this programme, as well as parents and community members that the programme has been very instrumental in changing the learners' behaviour in a positive way.
The study considers the complexity arising from the fact that data associated with learning is itself becoming a digital learning resource while also enabling analysis of learner behaviours and systems usage.
Often they relied on repeated requests for teaching sessions or changed learner behaviours as indirect positive feedback on their teaching contributions.
Within this framework our research focuses on automating the diagnosis of learner behaviour.
The result is a highly structured subject matter model that enables the diagnosis of learner behaviour by means of an adapted version of the GDE algorithm.
The general design has taken into consideration models of the learning process and subject matter as well as potential learner behaviour in dealing with fundamental tasks.
An experiment has been conducted that shows the viability of the approach taken, i.e., given the output of a qualitative simulator the procedures we have developed automatically generate a structured subject matter model and subsequently use this model to successfully diagnoses learner behaviour.
This study did not examine whether the formative assessment resulted in change in learner behaviour or patient outcomes.
Workplace-based assessment (WPBA) of clinical competence, directly observing trainees at work, has been recognised as a powerful means of changing learner behaviour, with evidence existing for its reliability and validity [ 14- 17].
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