D 4.2: Facilitated and self-learning courses

The Mediterranean Agronomic Institute of Bari CIHEAM-Bari produced this report as a part of the Organic Knowledge Network Arable (OK-Net Arable) project, Work Package 4. CIHEAM-Bari has developed two facilitated courses and a self-learning one according to the international E-Learning standards to promote the use of end-user material beyond the farmer innovation groups and the knowledge platform of the project. This report provides a description of these courses. Facilitated courses were developed using Leaning Management System (LMS) on the CIHEAM-Bari e-learning platform and were addressed to 70 participants from 26 countries (77% European countries and 23% non EU Mediterranean countries). Participants represented different institutions and profiles, such as ministries of agriculture, Universities, associations, certification bodies, farmers, private companies, research centres, extension services etc. The self-learning course is delivered on the project knowledge platform to be followed indefinitely by users even after the end of the project

Developing a web-based e-learning model for Library and Information Science Candidates in India

This study aimed at developing an e-learning platform for UGC-NET/JRF (University Grants Commission-National Eligibility Test/Junior Research Fellowship) candidates in the field of Library and Information Science (LIS). At the initial stage, the content was developed according to the syllabus of UGC and, a jury of experts validated it. The Moodle Learning Management System (LMS) was used to integrate and deliver the e-content, and the portal was hosted on a separate website (http://lislearning.co.in/) to ensure remote access. The study also addressed the need for e-learning in LIS and points out the scope and directions for future research

E-Learning / E-Teaching of Statistics

Travel arrangements and flight ticket booking via inter-net is widely used nowadays and follow already certain standards. Although increasing activity for multimedia/web education components can be observed, we are far away from standards in this important area. Statistics can possibly profit the most from e-learning since it requires a variety of skills including handling of quantitative data, graphical insights as well as mathematical ability. In this paper we take two positions – the student’s view and the teacher’s view – and discuss their relative coherence in order to propose standards for e-learning of statistics. The proposed standards are flexible with regard to content, multi-functionality, interactive capability and design. For this reason the main focus may be directed on quality of e-learning tools in order to meet both teacher’s and student’s requirements. This is especially true for statistics which is taught in various disciplines. We present our thoughts and exemplify them via the e-learning/e-teaching tools MM*Stat and e-stat. The struc-ture and the main characteristics of both multimedia tools will be explained. Then it will be described how such standards may be transferred to other cultures, languages or disciplines via the platform MD*Book

IMPLEMENTASI METODE SYNCHRONOUS LEARNING BERBASIS LMS MOODLE

E-Learning was first introduced by the University of Illinois-Champaign at Urbana using computer-based instruction system (computer-assisted instruction) and a computer named PLATO. Since then, the e-Learning evolved in line with the development and advancement of ICT. Utilization of the development of e-learning based on time, divided into two types: synchronous and asynchronous. This research has been successful in establishing e-learning system with synchronous method approach. Platform used in e-learning system using Learning Management System (LMS) Moodle. Moodle LMS is usually used in e-learning system with asynchronous method. Application of synchronous e-learning system using net meeting. This research need Bandwidth required ranging from 128 kbps to 1.2mb. The result of the research can be seen with 128kbps bandwidth e-learning system with synchronous method can be used to optimally.Key words: synchronous, e-learning, Moodl

Ajatuksia E-Portfolion hyödyntämisestä

Projektiaiheen ajankohtaisuus ja tulevaisuuden työmarkkinat olivat tärkein syy lähteä tutkimaan lähemmin verkossa tapahtuvaa oppimista. Discendumin tarjoama Kyvyt.f –palvelun ePortfolio on PLE (Personal learning Environment) oppimisalustalla oleva toiminto omien kykyjen esilletuomiseksi. PLE oppimisympäristönä on vastaus moniin tämän hetken haasteisiin. Siinä yhdistyy oppimisen yksilöllinen ja sosiaalinen ulottuvuus kiinnostavalla tavalla. Suomessa verkko-oppimisen kulttuuri ei ole niin kehittynyt kuin se voisi luulla olevan.Tämän projektin aikana oli tarkoitus selventää taustoja edelliseen väittämään ja oppia työstämään uudenlaista tapaa tuoda henkilökohtaisia kykyjä esille. Kauneudenhoitoalalla tätä oppimisalustaa ollaan käytetty vielä suhteellisen vähän, joten pohdin asioita myös alaa peilaten. Kyvyt.fi ePortfolion rakentaminen julkaistavaan muotoon ja sen syntyperien sekä hyötyjen tarkastelu vahvistaa opiskeluni tarkoitusta ja tuo näkyväksi vuosien aikana tehtyjä projekteja. Tämä työ päättää opiskeluni Turun Ammattikorkeakoulussa, mutta myös jatkaa elinikäistä oppimista Kyvyt.fi palvelun käytön myötä.My main reason to look at net/web based learning was the rising trend of E-portfolios and the way they can be used in different fields. The kyvyt.fi E-portfolio service, provided by Discendum, is a prime example of how the PLE (Personal Learning Environment) can be used to highlight a subjects strengths and abilities. The use of PLE as a learning tool/environment can be an answer to many of the challenges regular methods face as it combines the individual and social aspects of learning in an fascinating way. Web-based learning is not as advanced in Finland as one would think. During this project, my aim was to clarify why it is so, and at the same time learn new methods on how to promote personal abilities. I used my own field of expertise, Beauty industry as a reference, as it is a field where this platform is used very rarely in any form. The task of building an E-portfolio into a usable form and investigating its origin and advantages has strengthened the reasons why I started studying in the first place. For me it is an excellent platform to be able to show my earlier projects and events, and brings my studies at TUAMK to a great conclusion

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

Short-term passenger demand forecasting is of great importance to the on-demand ride service platform, which can incentivize vacant cars moving from over-supply regions to over-demand regions. The spatial dependences, temporal dependences, and exogenous dependences need to be considered simultaneously, however, which makes short-term passenger demand forecasting challenging. We propose a novel deep learning (DL) approach, named the fusion convolutional long short-term memory network (FCL-Net), to address these three dependences within one end-to-end learning architecture. The model is stacked and fused by multiple convolutional long short-term memory (LSTM) layers, standard LSTM layers, and convolutional layers. The fusion of convolutional techniques and the LSTM network enables the proposed DL approach to better capture the spatio-temporal characteristics and correlations of explanatory variables. A tailored spatially aggregated random forest is employed to rank the importance of the explanatory variables. The ranking is then used for feature selection. The proposed DL approach is applied to the short-term forecasting of passenger demand under an on-demand ride service platform in Hangzhou, China. Experimental results, validated on real-world data provided by DiDi Chuxing, show that the FCL-Net achieves better predictive performance than traditional approaches including both classical time-series prediction models and neural network based algorithms (e.g., artificial neural network and LSTM). This paper is one of the first DL studies to forecast the short-term passenger demand of an on-demand ride service platform by examining the spatio-temporal correlations.Comment: 39 pages, 10 figure

Web Service Testing and Usability for Mobile Learning

Based on the summary of recent renowned publications, Mobile Learning (ML) has become an emerging technology, as well as a new technique that can enhance the quality of learning. Due to the increasing importance of ML, the investigation of such impacts on the e-Science community is amongst the hot topics, which also relate to part of these research areas: Grid Infrastructure, Wireless Communication, Virtual Research Organization and Semantic Web. The above examples contribute to the demonstrations of how Mobile Learning can be applied into e-Science applications, including usability. However, there are few papers addressing testing and quality engineering issues – the core component for software engineering. Therefore, the major purpose of this paper is to present how Web Service Testing for Mobile Learning can be carried out, in addition to re-investigating the influences of the usability issue with both quantitative and qualitative research methods. Out of many mobile technologies available, the Pocket PC and Tablet PC have been chosen as the equipment; and the OMII Web Service, the 64-bit .NET e-portal and the GPS-PDA are the software tools to be used for Web Service testing