TLAD 2011 Proceedings:9th international workshop on teaching, learning and assesment of databases (TLAD)

This is the ninth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2011), which once again is held as a workshop of BNCOD 2011 - the 28th British National Conference on Databases. TLAD 2011 is held on the 11th July at Manchester University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.Due to the healthy number of high quality submissions this year, the workshop will present eight peer reviewed papers. Of these, six will be presented as full papers and two as short papers. These papers cover a number of themes, including: the teaching of data mining and data warehousing, databases and the cloud, and novel uses of technology in teaching and assessment. It is expected that these papers will stimulate discussion at the workshop itself and beyond. This year, the focus on providing a forum for discussion is enhanced through a panel discussion on assessment in database modules, with David Nelson (of the University of Sunderland), Al Monger (of Southampton Solent University) and Charles Boisvert (of Sheffield Hallam University) as the expert panel

TLAD 2011 Proceedings:9th international workshop on teaching, learning and assesment of databases (TLAD)

This is the ninth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2011), which once again is held as a workshop of BNCOD 2011 - the 28th British National Conference on Databases. TLAD 2011 is held on the 11th July at Manchester University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.Due to the healthy number of high quality submissions this year, the workshop will present eight peer reviewed papers. Of these, six will be presented as full papers and two as short papers. These papers cover a number of themes, including: the teaching of data mining and data warehousing, databases and the cloud, and novel uses of technology in teaching and assessment. It is expected that these papers will stimulate discussion at the workshop itself and beyond. This year, the focus on providing a forum for discussion is enhanced through a panel discussion on assessment in database modules, with David Nelson (of the University of Sunderland), Al Monger (of Southampton Solent University) and Charles Boisvert (of Sheffield Hallam University) as the expert panel

Open University Learning Analytics dataset

Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials. To support the research in this area we have developed a dataset, containing data from courses presented at the Open University (OU). What makes the dataset unique is the fact that it contains demographic data together with aggregated clickstream data of students’ interactions in the Virtual Learning Environment (VLE). This enables the analysis of student behaviour, represented by their actions. The dataset contains the information about 22 courses, 32,593 students, their assessment results, and logs of their interactions with the VLE represented by daily summaries of student clicks (10,655,280 entries). The dataset is freely available at https://analyse.kmi.open.ac.uk/open_dataset under a CC-BY 4.0 license

Between unsafe spaces and the comfort zone? Exploring the impact of learning environments on ‘doing’ learning

This paper explores how learning can be understood as a liminal space or transitional journey from one way of knowing to another; and where ‘doing’ learning is as much about being inculcated into the un-noticed rules and conventions of education itself as it is about developing understanding of the content of a subject discipline. By starting from Meyer and Land’s notion of threshold concepts and from ethnomethodological approaches which explore the ‘problematic accomplishment’ of everyday social and spatial practices, this paper considers how both new e-learning environments and more traditional face-to-face settings intersect with, and impact on, our conventional routines for producing and recognizing learning. Through a case study of a design project with interior architecture students, it explores what happened when attempts were made to inculcate a complex threshold concept - offering an alternative understanding of the relationship between disability and architecture to ‘standard’ conventions of accessibility – in both the ‘normal’ studio environment and online, via a blog. The paper concludes by suggesting we need to understand much more about what kinds of unspoken social and spatial practices frame the learning process in different disciplines in order to explore how we can create effective liminal spaces for both teachers and learners

Spartan Daily, January 29, 1997

Volume 108, Issue 4https://scholarworks.sjsu.edu/spartandaily/9081/thumbnail.jp

Warehousing Strategies - A Simulation Study

Purpose: Examine the effects of different warehousing strategies. Problem: What effects can be seen through the use of different warehousing strategies based on different customer behavior? Method: The simulation methodology used was based on Banks’ line of action. The methodology regarding design of experiment was based on Montgomery’s recommendations. Objective: Quantify the picking efficiency gains associated to different warehousing strategies in a generic warehouse. Conclusion: Customer behavior, as represented through customer order profiles, was more or less insignificant. Both slotting and viewing several customer orders at a time had major effects on both lead time, total pick time and total traveled distance

Continues improvement and search of flexibility in the production plant

The objective of this paper is to explain the culture of the company, based on workers' personal development, and see how this approach produces positive results of continuous improvement. In addition to this, I would like to expose how the union of objectives among the different areas of the production process, is a key factor to achieve flexibility, as well as to reach the main goals of the plant.Outgoin

Data visualization in the Data Center Infrastructure Management field

La Revolució Digital s'ha caracteritzat per un ús generalitzat d'Internet i la generació de grans quantitats de dades. El càlcul i l'anàlisi d'aquestes dades, però, no sempre són automàtics. Sovint cal l'ajuda humana per decidir primer el propòsit o l'objectiu de la tasca en curs, i després seleccionar les dades adequades que ajudaran a assolir aquest objectiu. La visualització de dades té com a propòsit facilitar el procés de presa de decisions. Aquestes grans quantitats de dades s'emmagatzemen i es processen en centres de dades que requereixen el manteniment adequat dels seus ecosistemes físics (el seu espai, electricitat, temperatura i seguretat de les dades), que es fa principalment mitjançant programaris anomenats sistemes de gestió d'infraestructures de centres de dades (DCIM). La investigació en aquest camp s'ha centrat sobretot en solucions de programari per gestionar aquest tipus de sistemes i en canvi no s'ha centrat tant en la visualització de dades. L'objectiu d'aquest estudi és contribuir en aquest camp proposant una solució de visualització de dades que té com a objectiu ajudar els usuaris de sistemes DCIM a analitzar i interpretar millor les dades crítiques (principalment recursos i alarmes). Això permetrà als usuaris prendre millors decisions, predir, planificar i gestionar aquests sistemes de manera segura i eficient. Aquesta solució ha estat dissenyada a través de visualitzacions definides a partir de tasques, un camí propi de tractament de les dades i una web a mida de l'usuari. Aquesta última, és la part més visible del projecte, ja que és la interfície final a nivell d'usuari, tanmateix, cada part de la solució té una rellevància en el projecte.The Digital Revolution has been characterized by a widespread use of the Internet and the generation of huge quantities of data. The computation and analysis of this data is not always automatic. It often needs human help to first decide the purpose or goal of the task-at-hand and then select the right features from the data that will help achieve that goal. Data visualization aims to facilitate this decision-making process. Such vast amounts of data are stored and processed in data centers which require the proper maintenance of their physical ecosystems (i.e., their space, electricity, temperature, and data security), which is mostly done though Data Center Infrastructure Management (DCIM) systems. Research in this field has mostly focused on software solutions to manage these types of systems and hasn't focused as much on data visualization. The purpose of this study is to contribute in this field by proposing a data visualization solution that aims at helping users of DCIM systems to better analyze and interpret the critical data (i.e. resources and alarms). This will allow users not only to make better decisions on forecasting and planning and to manage these systems more safely and efficiently. To do so, this solution is designed using multiple task-based data visualizations, a custom data pipeline and a tailored website from back-end to front-end. The latter has the main focus of the project, since it is the final user interface experience, but every step of the solution counts and is given equal importance to achieve a solid solution