Use of Artificial Intelligence in Education

To create an online Artificial Intelligence website that can predict the way in which a student or a user learns. A system which will adapt itself according to that person to teach him/her a particular topic. Parameters can be extracted from a set of videos tutorials and tests which can help to understand the capabilities and potential of a student.The student will have to go through a set of video tutorials after which he/she will have to appear for the test and based on the parameters and outcomes the potential, capabilities, grasping power, the weak and the strong areas will be identified

Analisis Kebutuhan Pengembangan Media Pembelajaran Berbasis Video Tutorial

The purpose of this article is to analyze the need for developing video tutorials at Data Mining. This research is descriptive exploratory research. The subjects of this study were students of the Information Engineering Education Study Program in the Electronics Engineering Department, Faculty of Engineering, Universitas Negeri Padang, 2016. Samples were randomly selected as many as 30 students. Data was collected using observation sheets in the lecture process of Data Mining and student questionnaires. The results of the observation show that the learning material in the Data Mining course is in the form of presentation slides/power points and handbooks/texts both face to face and e-learning. The results of the needs questionnaire analysis show that students need learning media that can guide them to be able to learn independently by repeating lessons anytime and anywhere in the form of learning media in the form of video tutorials

The Political is Personal: TAs on the Front Lines of the Critical Consciousness Campaign

This paper addresses the personal demands that Teaching Assistants (TAs) encounter as they work toward nurturing critical consciousness in university tutorials. We explore two case studies that occurred during our participatory, feminist, action research project which aims to have students collaboratively question and reflect upon their responses to critical theorizing in sociology. The scenarios that we analyze illustrate how students’ investments in dominant ideologies around gender relations and sexuality can lead to situations that are very challenging for TAs. Our analyses reveal that, particularly in tutorial settings where students vocalize their positions, TAs personally encounter a myriad of emotional, intellectual and interpersonal considerations in response to their students’ politics. These case studies emphasize the complexities involved when TAs are committed to both anti-oppressive pedagogy and critical ideologies

Stability and sensitivity of Learning Analytics based prediction models

Learning analytics seek to enhance the learning processes through systematic measurements of learning related data and to provide informative feedback to learners and educators. Track data from Learning Management Systems (LMS) constitute a main data source for learning analytics. This empirical contribution provides an application of Buckingham Shum and Deakin Crick’s theoretical framework of dispositional learning analytics: an infrastructure that combines learning dispositions data with data extracted from computer-assisted, formative assessments and LMSs. In two cohorts of a large introductory quantitative methods module, 2049 students were enrolled in a module based on principles of blended learning, combining face-to-face Problem-Based Learning sessions with e-tutorials. We investigated the predictive power of learning dispositions, outcomes of continuous formative assessments and other system generated data in modelling student performance and their potential to generate informative feedback. Using a dynamic, longitudinal perspective, computer-assisted formative assessments seem to be the best predictor for detecting underperforming students and academic performance, while basic LMS data did not substantially predict learning. If timely feedback is crucial, both use-intensity related track data from e-tutorial systems, and learning dispositions, are valuable sources for feedback generation

Software Defined Networks based Smart Grid Communication: A Comprehensive Survey

The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC.We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.Comment: Accepte

A critical analysis of research potential, challenges and future directives in industrial wireless sensor networks

In recent years, Industrial Wireless Sensor Networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines and possible hazards in industrial atmosphere are discussed. The paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs

A Survey of Positioning Systems Using Visible LED Lights

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.As Global Positioning System (GPS) cannot provide satisfying performance in indoor environments, indoor positioning technology, which utilizes indoor wireless signals instead of GPS signals, has grown rapidly in recent years. Meanwhile, visible light communication (VLC) using light devices such as light emitting diodes (LEDs) has been deemed to be a promising candidate in the heterogeneous wireless networks that may collaborate with radio frequencies (RF) wireless networks. In particular, light-fidelity has a great potential for deployment in future indoor environments because of its high throughput and security advantages. This paper provides a comprehensive study of a novel positioning technology based on visible white LED lights, which has attracted much attention from both academia and industry. The essential characteristics and principles of this system are deeply discussed, and relevant positioning algorithms and designs are classified and elaborated. This paper undertakes a thorough investigation into current LED-based indoor positioning systems and compares their performance through many aspects, such as test environment, accuracy, and cost. It presents indoor hybrid positioning systems among VLC and other systems (e.g., inertial sensors and RF systems). We also review and classify outdoor VLC positioning applications for the first time. Finally, this paper surveys major advances as well as open issues, challenges, and future research directions in VLC positioning systems.Peer reviewe

Hegartymaths: gimmick or game changer?

This research examines the effectiveness of Hegartymaths, an online platform comprised of mathematical instructional video tutorials and quizzes used in approximately a third of mainstream secondary schools in England. The study employed mixed methods from an objectivist epistemological standpoint and used quasiexperiments to assess how schools who use Hegartymaths compare with ones that do not, as well as exploring how schools’ implementation of Hegartymaths impacts GCSE performance for the pupils that use it. In order to explore the impact Hegartymaths on GCSE performance, and specifically on the topics/types of questions which are part of the GCSE, data was collected and cleaned from the Gov.uk website, which publishes KS4 data for all 5,512 schools in England, and the Hegartymaths data team, who shared a snapshot of the big data analytics for 37 United Learning schools (30,501 pupils). A teacher survey, which included 106 responses from United Learning teachers of mathematics, considered which Hegartymaths practices increase its efficacy. The findings indicate that there are significant and positive relationships between the time spent on Hegartymaths and the performance of students in several categories, and the time spent completing quizzes was more effective than watching the video tutorials. Hegartymaths was seen to be more aligned to questions that test for procedural knowledge, rather than conceptual knowledge, and the schools that were identified to be more successful indicate there seems to be merit in the following practices: setting more Hegartymaths tasks at a time; allowing some topics to be taught solely through Hegartymaths; directing pupils to write notes when watching the tutorials. The research design and analyses in the study harness the power of big data with learning analytics to contribute to the literature from a methodological point of view, whereas the findings contribute to the limited existing literature on using video tutorials within a blended learning approach

A survey of handover algorithms in DVB-H

Digital Video Broadcasting for Handhelds (DVB-H) is a standard for broadcasting IP Datacast (IPDC) services to mobile handheld terminals. Based on the DVB-T standard, DVB-H adds new features such as time slicing, MPE-FEC, in-depth interleavers, mandatory cell id identifier, optional 4K-modulation mode and the use of 5 MHz bandwidth in addition to the usually used 6, 7, or 8 MHz raster. IPDC over DVB-H is proposed for ETSI to complement the DVB-H standard by combining IPDC and DVB-H in an end-to-end system. Handover in such unidirectional broadcasting networks is a novel issue. In the last few years since the birth of DVB-H technology, great attention has been given to the performance analysis of DVB-H mobile terminals. Handover is one of the main research topics for DVB-H in mobile scenarios. Better reception quality and greater power efficiency are considered to be the main targets of handover research for DVB-H. New algorithms for different handover stages in DVB-H have been the subject of recent research and are currently being studied. Further novel algorithms need to be designed to improve the mobile reception quality. This article provides a comprehensive survey of the handover algorithms in DVB-H. A systematic evaluation and categorization approach is proposed based on the problems the algorithms solve and the handover stages being focused on. Criteria are proposed and analyzed to facilitate designing better handover algorithms for DVB-H that have been identified from the research conducted by the author