Dynamic Fuzzy Logic-based Quality of Interaction within Blended-learning: the Rare and Contemporary Dance Cases
نویسندگان
چکیده
The combination of the process of pedagogical planning within the Blended (b-)learning environment with the users’ quality of interaction ( ) with the Learning Management System (LMS) is explored here. The required (both for professors and students) is estimated by adopting a fuzzy logic-based modeling approach, namely FuzzyQoI, applied to LMS Moodle data from two academic years of two dance disciplines, i.e., the Rare and Contemporary ones. The distribution of the estimated across the segmented time-period of the each academic year for each user’s type and for each discipline show the beneficial role of to shift the educational scenarios and strategies towards a more dynamic design, yet taking into consideration the inherent tendencies and attitudes of the users’ interaction within the b-learning context. These are revealed as causal relations in the LMS interaction patterns between users, along with dynamic variations in their individual attitude when interacting with LMS. The findings presented here could shed light upon designing factors of educational scenarios, in general, but also to those involved in cultural preservation and exploitation initiatives, such as the i-Treasures project (http://i-treasures.eu/).
منابع مشابه
Enhancing Blended Environments Through Fuzzy Cognitive Mapping of LMS Users' Quality of Interaction: The Rare and Contemporary Dance Paradigms
Nowadays, higher education institutions (HEIs) are facing the need of constant monitoring of users’ interaction with Learning Management Systems (LMSs), in order to identify key areas for potential improvement. In fact, LMSs under blended (b-) learning mode can efficiently support online learning environments (OLEs) at HEIs. An important challenge would be to provide flexible solutions, where i...
متن کاملFuzzy cognitive mapping of LMS users' Quality of Interaction within higher education blended-learning environment
Learning Management Systems (LMSs) under blended (b-) learning modality can efficiently support online learning environments (OLEs) at Higher Education Institutions (HEIs). Mining of LMS users’ data, involving artificial intelligence and incertitude modeling, e.g., via fuzzy logic, is a fundamental challenge. This study addresses the hypothesis that the structural characteristics of a Fuzzy Cog...
متن کاملAn Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic
This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...
متن کاملA Q-learning Based Continuous Tuning of Fuzzy Wall Tracking
A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...
متن کاملExploring B-Learning Scenarios Using Fuzzy Logic-Based Modeling of Users' LMS Quality of Interaction in Ergonomics and Psychomotor Rehabilitation Academic Courses
The multidisciplinary field of human-computer interaction can be seen as an open-ended concept used to refer to the understanding of different relationships between people (users) and computers. The pedagogical planning within the blended learning environment with the users’ quality of interaction (QoI) with the Learning Management System (LMS) is explored here. The required QoI (both for profe...
متن کامل