Today, the new teaching and learning environment are changing because of an active usage of information technology. However, no matter how much technology becomes the essential element in learning, instructional designer has to consider the most appropriate methods to support an effective learning. The primary goal of instructional design is to guarantee the quality of online learning services by using technology-based instruction. In other words, the instructional design should be able to promote, facilitate, inspire deep learning and promote ...

The study explores student attitudes toward treating students as customers in fundamental and higher educations based on three units of analysis−educational levels (undergrad vs. graduate), institution status (public vs. private), and interdisciplinary (technology, engineering, and business). It also examines students’ opinions toward using the student-customer concept in higher education. Quantitative and qualitative data were analyzed to answer the research questions. The quantitative analysis results indicate that, in overall, students disagree ...

Alumni data is one of the most important data that university management uses for developing the learning process decisions. This paper applies the idea of Abandoned and Reborn PSO (AR-PSO) to convert a clustering problem into the optimization form with an objective function to minimize the ugliness of the desired clusters. This algorithm of Clustering using AR-PSO (CAR-PSO) is slightly adapted to the cluster problem domain. The generated clusters need to be examined to decide if they are acceptable. There are three evaluations; the closeness, ...

A novel procedure for diagnosing prostate cancer (PC) based on Back propagation Neural Network (BPNN) is proposed. Elderly men with symptoms such as urinary retention, urinary hesitancy, urinary dribbling, burning urination, hematuria, etc. are considered as primary attributes. Prostate-specific antigen (PSA) level and Gleason score are the secondary attributes. Initial dataset is generated based on the clinical database. The BPNN assigns symptom levels of a set of patients based on their primary attributes. A greedy decision procedure ...

This paper proposes a novel method to obtain the displacement of a smartphone movement. The method utilizes genetic algorithm to synthesize a mathematical model of acceleration based on behavior of a person's hand movement from the raw acceleration data. Then, double integration is performed on the synthesized acceleration model, which is significantly less affected by the noise accumulation. The raw acceleration of the hand's movement is calibrated initially using acceleration-time graph analysis and a modified version of peak detection based ...

Personality traits and perceived product values are increasingly used to explain how people adopt innovative technologies. However, their relationships and effects on online learning adoption are ill-defined. This study investigates one of the common personality trait - openness to experience - and the value dimensions of theory of consumption values - functional (quality and monetary) value, social value, emotional value, epistemic value, and conditional value - to understand students’ intentions to adopt online learning. The study used a ...

This paper presents an alternative algorithm for integrating the existing knowledge of a supervised learning neural network with the new training data. The algorithm allows the existing knowledge to age out in slow rate as a neural network is gradually retrained with consecutive sets of new samples, resembling the change of application locality under a consistent environment. The algorithm also utilizes the contour preserving classification algorithm to increase the accuracy of classification. The experiment is performed on 2-dimension partition ...

This paper presents a motion vector (MV) recovery using the similarity of the angle of the corresponding surrounded MVs. The approach is based on the assumption that a group of macroblocks (MBs) which belongs to the same object and resides in the same region likely to move in the same direction. hence, those corresponded MVs that move in the same direction likely to have similar angle. As a result a lost motion vector can be estimated using a set of candidate MVs selected from the neighbouring MVs on the left, top-left, top, top-right, right, ...

Mobile ad hoc networks or MANETs are infrastructureless wireless networks where each node can freely move and directly connect to the other nodes located within its transmission range to form the topology in any arbitrary pattern. Hence, to ensure network connectivity, each node tends to use the maximum transmission power to extend its transmission range. However, this maximized transmission range typically consumes more energy and consequently drains battery faster on mobile devices in these networks. Topology control is an effective technique ...

This paper proposes a model of self-growing and self-organizing feature map designed to alleviate the difficulty of predetermining an appropriate size and shape of the feature map suitable for the input data in the applications of the Self-Organizing Map. The proposed model progressively builds a feature map by incremental growing of the network in a way that maintains two-dimensional regular grid structure and gradual adaptation of the reference vectors by coordinated competitive learning dynamics of the Batch Map algorithm. Experimental results ...