Learning Object Recommendations for Teachers Based On Elicited ICT Competence Profiles


Recommender systems (RS) supply personalised services for facilitating the method of appropriate item choice. To perform this task, user profiling mechanisms ought to be implemented to automatically construct and update meaningful user profiles. These profiles can drive the RS in providing informed recommendations suited to the unique characteristics of each user. Within the context of technology enhanced learning (TeL) Recommender Systems, the bulk of analysis focus directly on learners' profiling and ignore the potential advantages of profiling teachers' skilled capacities too. Thence, restricted previous works exist on effectively capturing and utilizing individual lecturers' particular skilled characteristics, like their Digital Competences (commonly called ICT Competences) and exploiting these in systems that support their teaching preparation and observe, for instance in the selection of acceptable instructional resources. This paper proposes a RS that targets to support teachers in selecting learning objects (LO) from existing LO repositories (LORs) in a unified manner, particularly by (a) automatically constructing their ICT Competence Profiles based on their actions within these LORs and (b) exploiting these profiles for additional efficient LO choice. Experiments with data from 3 real-life LORs are presented and analysis results are mentioned to demonstrate the advantages of the proposed system.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : A Multitask Learning Model for Traffic Flow and Speed Forecasting ABSTRACT: Accurate short-term traffic state forecasting is beneficial to Intelligent Transportation Systems (ITS) research and applications. This
PROJECT TITLE : A Supervised Machine Learning Algorithm for Heart Rate Detection Using Doppler Motion-Sensing Radar ABSTRACT: The development of vital sign radar technology has shown to be an effective tool for measuring various
PROJECT TITLE : Alzheimers Diseases Detection by Using Deep Learning Algorithms ABSTRACT: Accurate Alzheimer's disease (AD) diagnosis is critical for patient treatment, especially in the early stages of the disease, because
PROJECT TITLE : An Automated Machine Learning Approach for Smart Waste Management Systems ABSTRACT: This study shows how automated machine learning can be used to solve a real-world problem in a Smart Waste Management system.
PROJECT TITLE : An Explainable Machine Learning Framework for Intrusion Detection Systems ABSTRACT: Machine learning-based intrusion detection systems (IDSs) have proven to be useful in recent years; in particular, deep neural

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry