This paper presents experimental analysis of LMS log data from two undergraduate courses that differ in terms of learning activity design. Data were resulting from the User Activity functions on open source learning management system, which report the number of student hits across the LMS tools. The research identifies obstacles encountered when using log data. Results suggest that the plan of ...

Educational design patterns describe reusable solutions to the design of learning tasks and environments. While there are many projects producing patterns, there are few approaches dealing with supporting the instructor/user in instantiating and running those patterns on learning management systems (LMS). This paper aims to make a leap forward in this direction by presenting two different metho...

Learning Management Systems (LMS) have become widespread among most centres for education and training. Being a mature technology, LMS have left the vanguard of innovation. Educational usages of the Web 2.0, Personal Learning Environments, Game-based Learning and particularly the introduction of mobile phones and tablets in education are happening outside the boundaries of the LMS. This paper p...

In the last ten years, there has been much research on active noise control (ANC) systems and transaural sound reproduction (TSR) systems. In those fields, multichannel FIR adaptive filters are extensively used. For the learning of FIR adaptive filters, recursive-least-squares (RLS) algorithms are known to produce a faster convergence speed than stochastic gradient descent techniques, such as t...

This work proposes the use of hierarchical LMs as an effective method both for e ciently dealing with contextdependent LMs in a dialogue system and for increasing the robustness of LM estimation and adaptation. Starting from basic LMs that express elementary semantic units, concepts, or data-types, sentence level LMs are recursively built. The resulting LMs may be a combination of grammars, wor...

In this paper we propose a rapidly converging LMS algorithm for crosstalk cancellation. The architecture is similar to deep neural networks, where multiple layers are adapted sequentially. The application motivating this approach is gigabit rate transmission over unshielded twisted pairs using a vectored system. The crosstalk cancellation algorithm uses an adaptive non-diagonal preprocessing ma...

The image compression in telecommunication is very demanding application to control the distortion in image in channel after transmitting the image. The Differential pulse code modulation (DPCM) may be used to remove the unused bit in the image for image compression. In this thesis we compare the compressed image for 1, 2, 3, bits (2, 4 and 8 quantization levels, respectively), estimation error...

The newly proposed l1 norm constraint zero-point attraction Least Mean Square algorithm (ZA-LMS) demonstrates excellent performance on exact sparse system identification. However, ZA-LMS has less advantage against standard LMS when the system is near sparse. Thus, in this paper, firstly the near sparse system modeling by Generalized Gaussian Distribution is recommended, where the sparsity is de...

This paper presents a new method for variable step size for LMS algorithm. The proposed algorithm is based on an absolute mean of estimation current and prior error vector. It is called New Varying Step Size LMS Algorithm (NVSSLMS). The main goal of this algorithm is performance enhancement of adaptive echo cancellation system. The proposed time varying step size method begins the learning proc...

To enhance instruction in higher education, many universities in the Middle East have chosen to introduce learning management systems (LMS) to their institutions. However, this new educational technology is not being used at its full potential and faces resistance from faculty members. To investigate this phenomenon, we conducted an empirical research study to uncover factors influencing facult...