Novices Make More Noise!: The D&K Effect 2.0?

This paper presents an approach that helps distinguish expert and novice performance easily by observing the sensor data without having to understand nor apply models to the sensor signal. The method consists of plotting the sensor data and identifying irregularities. We corroborate, with the help of sensors, that expert performances are...

Role of Multimodal Learning Systems in Technology-Enhanced Learning (TEL): A Scoping Review

Technology-enhanced learning systems, specifically multimodal learning technologies, use sensors to collect data from multiple modalities to provide personalized learning support beyond traditional learning settings. However, many studies surrounding such multimodal learning systems mostly focus on technical aspects concerning data collection...

We can teach more than we can tell: combining Deliberate Practice, Embodied Cognition, and Multimodal Learning

Acquisition and internalisation of many fundamental skills rely on repeated authentic practice and teachers providing support during practice. Despite this well accepted norms in skills acquisition, much of our assumptions about learning skills, mostly from a cognitive perspective, remain nebulous. Besides splitting hairs to classify skills...

Deliberate Practice of Handwriting: Supervision Under the Ghost of an Expert

It takes considerable time, experience, and direct assistance from teachers to become a skilled writer. Handwriting fluency is one of the predictors of writing quality among students. However, students do not receive enough teacher supervision as a beginner to develop handwriting fluency in a proper manner. The ``Calligraphy tutor'' presented in...

Multimodal Learning Experience for Deliberate Practice

While digital education technologies have improved to make educational resources more available, the modes of interaction they implement remain largely unnatural for the learner. Modern sensor-enabled computer systems allow extending human-computer interfaces for multimodal communication. Advances in Artificial Intelligence allow interpreting...

Preface of MILeS 2022

Table tennis tutor: Forehand strokes classification based on multimodal data and neural networks

Beginner table-tennis players require constant real-time feedback while learning the funda-mental techniques. However, due to various constraints such as the mentor’s inability to be around all the time, expensive sensors and equipment for sports training, beginners are unable to get the immediate real-time feedback they need during training....

HoloLearn: Using holograms to support naturalistic interaction in virtual classrooms

Traditional online communications tools used in education are limited in terms of fostering naturalistic or life-like interaction. Such limited interactions in classrooms can negatively impact learning. Holograms are promising tools that show potential to overcome such limitations by affording more life-like interactions in virtual classrooms...

Expert distribution similarity model: Feedback methodology for non-imitation based handwriting practice

Learning fine psychomotor skills such as handwriting is a tedious endeavour which requires close supervision of the teacher to master. However, the increasing number of students in classes means less time a teacher can allocate for each student. This adversely affects the development of handwriting in students. Sensor-based technologies can...

Designing and implementing gamification: GaDeP, gamifire, and applied case studies

Gamification aims at addressing problems in various fields such as the high dropout rates, the lack of engagement, isolation, or the lack of personalisation faced by Massive Open Online Courses (MOOC). Even though gamification is widely applied, not only in MOOCs, only few cases are meaningfully designed and empirically tested. The...

Can you ink while you blink?: Assessing mental effort in a sensor-based calligraphy trainer

Sensors can monitor physical attributes and record multimodal data in order to provide feedback. The application calligraphy trainer, exploits these affordances in the context of handwriting learning. It records the expert’s handwriting performance to compute an expert model. The application then uses the expert model to provide guidance and...