ICWL 2009

•

1 j'aime•543 vues

Ahmed Al-Hmouz

International Conference on Web-based Learning 2009. A Machine Learning based Framework for Adaptive Mobile Learning

Business Technologie

[object Object],[object Object],[object Object],[object Object],A Machine Learning based Framework for Adaptive Mobile Learning International Conference on Web-based Learning (ICWL): August 19th, 2009 RWTH Aachen University, Aachen, Germany

Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction (1) ,[object Object],[object Object],[object Object]

Introduction (2) ,[object Object],[object Object],[object Object]

Introduction (3) ,[object Object],[object Object]

Related Work (1) ,[object Object],[object Object],[object Object],[object Object]

Related Work (2) ,[object Object],[object Object],[object Object],[object Object]

Framework Foundation (1) ,[object Object],[object Object],[object Object]

Framework Foundation (2) ,[object Object],[object Object],[object Object],[object Object],[object Object]

Basic Elements of a User Adaptive System

Layer Model Components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

1- Context Acquisition Layer ,[object Object],[object Object],[object Object],[object Object]

2- Information Classification Layer ,[object Object],[object Object],[object Object],[object Object]

3- Learner Model Layer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

4- Information Extraction Layer ,[object Object],[object Object],[object Object]

6- Reasoning Layer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

7- Interface Layer (1) ,[object Object],[object Object],[object Object],[object Object]

7- Interface Layer (2) ,[object Object],[object Object],[object Object]

Learner Control over the M-learning Application

Learner Control over the M-learning Application ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusion & Future Work (1) ,[object Object],[object Object],[object Object]

Conclusion & Future Work (2) ,[object Object],[object Object],[object Object]

References ,[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Contenu connexe

Tendances

The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.

Review and analysis of machine learning and soft computing approaches for use...

IJwest

IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...

iosrjce

Supervised learning techniques for virtual military training

Elena Susnea

Learner Model's Utilization in the e-Learning Environments Vija VAGALE and Laila NIEDRITE Faculty of Computing, University of Latvia, Raina boulv. 19, Riga, Latvia Abstract. In the field of personalized systems big role is granted to the adaptive elearning environments. The task of these systems is very important and complicated. With their participation the learner gains exactly the knowledge he needs most, and the system adapts to user needs, expectations and his individual features. In this kind of systems information about learner is saved in the learner model also known as the user model and student model. For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved. The article gives an overview about already existing learner models, their utilization methods and also it offers their comparison according to various criteria.

Learner Model's Utilization in the e-Learning Environments

eraser Juan José Calderón

One of the most effective applications of Information and Communication Technology (ICT) is the emergence of E-Learning. Considering the importance and need of E-Learning, recent years have seen a drastic change of learning methodologies in Higher Education. Undoubtedly ,the three main entities of E-Learning system can be considered as Student, Teacher & Controlling Authority and there will be different level, but a good E-Learning system needs total integrity among all entities in every level. Apart from integrity enforcement, security enforcement in the whole system is the other crucial way to organize the it. As internet is the backbone of the entire system which is inherently insecure , during transaction of message in E-Learning system, hackers attack by utilising different loopholes of technology. So different security measures are required to be imposed on the system. In this paper, emphasis is given on different risks called e-risks and their remedies called e-remedies to build trust in the minds of all participants of E-Learning system.

RISKS AND REMEDIES IN E-LEARNING SYSTEM

IJNSA Journal

An enacting approach to intelligent virtual collaborative learning model is explored through the lens of critical ontology. This ontological model enables to reuse of the domain knowledge and to make the knowledge explicitly available to the agent working as an Expert System, which uses the operational knowledge in collaborative learning environment. This ontological model used by the agent to identify the preliminary competency level of the user. This environment offers personalized education to each learner in accordance with his/her learning preferences, and learning capabilities. Here the factors considered to identify the learning capability taken are demographic profile, age, family profile, basic educational qualification and basic competency scale. The conception of heuristics is then used by the agent to determine the effectiveness of the learner by referring the different parameters of the learner available in the ontological model.To help getting over this, the paper describes the experience on using an ontological model for collaborative learning to relate and integrate the history of the learner by maintaining the history of learner in collaborative learning environment that will be used by the Multi-Objective Grey Situation Decision Making Theory to infer the understanding level of user and produces the conditional content to the user

Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...

ijceronline

E-learning is currently taking the shape of a Web Service in various applications i.e. learners can search for suitable content, book it, pay for it and consume it. This paper shows how the search aspects for e-learning content can technically be combined with the recent standardization efforts that aim at content exchangeability and efficient reuse. A repository for learning object publication and search is proposed that essentially adapts the UDDI framework used in commercial Web Services to the e-learning context. To adopt Web Services technology towards the reusability and aggregation of e-learning services, the conceptual Web Services architecture and its building blocks need to be augmented. The objective of this research is to design broker based registry architecture for e- Web services which facilitates effective elearning content/service discovery for the consumption or composition. The implementation followed by experimentation showed that, the proposed e-learning discovery architecture facilitates effective discovery with moderate performance in terms of overall response.

A REGISTRY BASED DISCOVERY MECHANISM FOR E-LEARNING WEB SERVICES

cscpconf

IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.

Design of an online expert system for career guidance

eSAT Publishing House

E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.

Investigating a theoretical framework for e-learning technology acceptance

IJECEIAES

Transcript is an inventory system holding student academic record. This system has been implemented conventional, electronically or implemented using web services approaches which have been devoid of mobile computing approach and system classification rules. The proposed architecture provides an assiduous pathway for the implementation of the aforementioned issues. This architecture has the propensity for cutting down operational cost and hardcopy documentation while handling organizational procedures and processes

AN ENHANCED ELECTRONIC TRANSCRIPT SYSTEM (E-ETS)

ijcsit

IoT-based students interaction framework using attention-scoring assessment i...

eraser Juan José Calderón

Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...

eraser Juan José Calderón

Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.

ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIES

ijsc

Nabila__proposal4.doc

butest

Although of the semantic web technologies utilization in the learning development field is a new research area, some authors have already proposed their idea of how an effective that operate. Specifically, from analysis of the literature in the field, we have identified three different types of existing applications that actually employ these technologies to support learning. These applications aim at: Enhancing the learning objects reusability by linking them to an ontological description of the domain, or, more generally, describe relevant dimension of the learning process in an ontology, then; providing a comprehensive authoring system to retrieve and organize web material into a learning course, and constructing advanced strategies to present annotated resources to the user, in the form of browsing facilities, narrative generation and final rendering of a course. On difference with the approaches cited above, here we propose an approach that is modeled on narrative studies and on their transposition in the digital world. In the rest of the paper, we present the theoretical basis that inspires this approach, and show some examples that are guiding our implementation and testing of these ideas within e-learning. By emerging the idea of the ontologies are recognized as the most important component in achieving semantic interoperability of e-learning resources. The benefits of their use have already been recognized in the learning technology community. In order to better define different aspects of ontology applications in e-learning, researchers have given several classifications of ontologies. We refer to a general one given in that differentiates between three dimensions ontologies can describe: content, context, and structure. Most of the present research has been dedicated to the first group of ontologies. A well-known example of such an ontology is based on the ACM Computer Classification System (ACM CCS) and defined by Resource Description Framework Schema (RDFS). It’s used in the MOODLE to classify learning objects with a goal to improve searching. The chapter will cover the terms of the semantic web and e-learning systems design and management in e-learning (MOODLE) and some of studies depend on e-learning and semantic web, thus the tools will be used in this paper, and lastly we shall discuss the expected contribution. The special attention will be putted on the above topics.

Applying Semantic Web Technologies to Services of e-learning System

International Journal of Engineering Inventions www.ijeijournal.com

IJCER (www.ijceronline.com) International Journal of computational Engineerin...

ijceronline

Bluetooth is one of the most prevalent technologies available on mobile phones. One of the key questions how to harness this technology in an educational manner in universities and schools. This paper is about a Bluetooth quizzing system which will be used to administer quizzes to students of a university. The Bluetooth quizzing application consists of a server and client mobile Android application. It will utilize a queuing system to allow many clients to connect simultaneously to the server. When clients connect, they can register or choose the option to complete a quiz that the lecturer selected. Results are automatically sent when quiz is done from the client application. Data analysis can then be done to review the progress of students.

An educational bluetooth quizzing application in android

ijwmn

Tendances (17)

Review and analysis of machine learning and soft computing approaches for use...

Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...

Supervised learning techniques for virtual military training

Learner Model's Utilization in the e-Learning Environments

RISKS AND REMEDIES IN E-LEARNING SYSTEM

Learner Ontological Model for Intelligent Virtual Collaborative Learning Envi...

A REGISTRY BASED DISCOVERY MECHANISM FOR E-LEARNING WEB SERVICES

Design of an online expert system for career guidance

Investigating a theoretical framework for e-learning technology acceptance

AN ENHANCED ELECTRONIC TRANSCRIPT SYSTEM (E-ETS)

IoT-based students interaction framework using attention-scoring assessment i...

Multimedia based IoT-centric smart framework for eLearning paradigm Muhammad ...

ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIES

Nabila__proposal4.doc

Applying Semantic Web Technologies to Services of e-learning System

IJCER (www.ijceronline.com) International Journal of computational Engineerin...

An educational bluetooth quizzing application in android

En vedette

Punctuating clauses

Daniela Lyra Cardoso

6 A,(13 1 3)Perkhidmatan

zafeen zafeen

Edisi Nasional 28 Maret

epaper

Wachovia wells fargo

city of dania beach

10 010 waste pro (part 3)

city of dania beach

Worksheet on dw report 1 m 1sukan run

Mokhzani Fadir

Yet anothr test of slide share

William Hart

Tim meeting with investors - april 2014

TIM RI

Goi guideline for selection of consultants 2006

Probodh Mallick

Webbinarie ppc-basic

Guava Sweden

2012-2014 Plan Outline

TIM RI

Brochure category management in foodservice (programma 2013)

Rien De Koning

Inartis Keynote: E-connected Healthcare

Vujàdé

A. m.-no.-0088-norma-que-regula-los-contratos-individuales-de-trabajo-a-plazo...

Carlos Borgia

T Mobile

city of dania beach

Website Speed :: Fox Valley Computing Professionals, September 2014

Straight North

Design Thinking @ Booz Allen

Kelly Marie Smith

February 2011 Newsletter

Kabir Luthra

TIM Day - Stefano De Angelis

TIM RI

FLL Airport Expansion Opinion

city of dania beach

En vedette (20)

Punctuating clauses

6 A,(13 1 3)Perkhidmatan

Edisi Nasional 28 Maret

Wachovia wells fargo

10 010 waste pro (part 3)

Worksheet on dw report 1 m 1sukan run

Yet anothr test of slide share

Tim meeting with investors - april 2014

Goi guideline for selection of consultants 2006

Webbinarie ppc-basic

2012-2014 Plan Outline

Brochure category management in foodservice (programma 2013)

Inartis Keynote: E-connected Healthcare

A. m.-no.-0088-norma-que-regula-los-contratos-individuales-de-trabajo-a-plazo...

T Mobile

Website Speed :: Fox Valley Computing Professionals, September 2014

Design Thinking @ Booz Allen

February 2011 Newsletter

TIM Day - Stefano De Angelis

FLL Airport Expansion Opinion

Similaire à ICWL 2009

Mobile Learning (M-Learning) is an emerging discipline in the area of education and educational technology. So researchers are trying to optimize and expanding its application in the field of education. The aim of this paper is to investigate the role of mobile devices and expert systems in disseminating and supporting the knowledge gained by intelligent tutors and to propose a system based on integration of intelligent M-Learning with expert systems. It acts as an intelligent tutor which can perform three processes - pre-test, learning concept and post-test - according to characteristic of the learner. The proposed system can improves the education efficiency highly as well as decreases costs. As a result, every time and everywhere (ETEW) simple and cheap learning would be provided via SMS, MMS and so on in this system. The global intention of M-Learning is to make learning “a way of being”.

AN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICES

ijmpict

This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative environments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of organisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team environment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.

Collaborative Learning of Organisational Knolwedge

Waqas Tariq

M-Learning

butest

This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.

Solving The Problem of Adaptive E-Learning By Using Social Networks

Eswar Publications

Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning.

AN ADAPTIVE REUSABLE LEARNING OBJECT FOR E-LEARNING USING COGNITIVE ARCHITECTURE

acijjournal

C017351116

IOSR Journals

Ijcet 06 09_003

IAEME Publication

Collaborative learning assistant for android

JPINFOTECH JAYAPRAKASH

The advent of asynchronous web based learning systems has helped the learner in a self paced, personalized and flexible learning style. It can be even more useful with a supportive synchronous tutorial (question-answer) session. The challenge is to provide sufficient information to the instructor about the learner’s experience in that particular course at run time. Online analytical processing (OLAP) is a very useful technique in producing such run time information in the form of reports. In this paper we have designed an automated scaffolding technique to hold this vital information about the learner which we have obtained by OLAP techniques on the log data of the LMS users. We have also proposed an overall architecture of the scaffolding where this information can be easily accessed and used by the instructor in the synchronous tutorial session to make the system more adaptive.

OLAP based Scaffolding to support Personalized Synchronous e-Learning

IJMIT JOURNAL

The wide development of mobile applications provides a considerable amount of data of all types (images, texts, sounds, videos, etc.). In this sense, Mobile Context-aware Recommender Systems (MCRS) suggest the user suitable information depending on her/his situation and interests. Two key questions have to be considered 1) how to recommend the user information that follows his/her interests evolution? 2) how to model the user’s situation and its related interests? To the best of our knowledge, no existing work proposing a MCRS tries to answer both questions as we do. This paper describes an ongoing work on the implementation of a MCRS based on the hybrid-ε-greedy algorithm we propose, which combines the standard ε-greedy algorithm and both content-based filtering and case-based reasoning techniques.

Following the user’s interests in mobile context aware recommender systems

Bouneffouf Djallel

Kalvi: An Adaptive Tamil m-Learning System paper

arivolit

Mobile Learning Framework & Evaluation

ador

Several researches in the field of adaptive learning systems has developed systems and techniques to guide the learner and reduce cognitive overload, making learning adaptation essential to better understand preferences, the constraints and learning habits of the learner. Thus, it is particularly advisable to propose online learning systems that are able to collect and detect information describing the learning process in an automatic and deductive way, and to rely on this information to follow the learner in real time and offer him training according to his dynamic learning pace. This article proposes a multi-agent adaptive learning system to make a real decision based on a current learning situation. This decision will be made by performing a hypride cycle of the Case-Based Reasonning approach in order to follow the learner and provide him with an individualized learning path according to Felder Silverman learning style model and his learning traces to predict his future learning status.To ensure this decision, we assign at each stage of the Incremental Hybrid Case-Based Reasoning at least one active agent performing a particular task and a broker agent that collaborates between the different agents in the system.

Designing and modeling of a multi-agent adaptive learning system (MAALS) usin...

IJECEIAES

Context-aware ubiquitous learning combines context-awareness with wireless and mobile technologies to observe the situation of students in the real world and provides personalized guidance accordingly. Student Model creates student's history logs automatically and maintains history of subject content requested. It also offers information on student's hardware capabilities, students preferences, knowledge level and student status. This information can be utilized to respond to new student's request from previous similar request. A Ubiquitous student model aims to identify student’s needs, characteristics and situations. In this paper, we have proposed a method of designing student model, that provides personalized subject content adaptation.

A Method of Designing Student Model in Ubiquitous Environment

ijujournal

A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT

ijujournal

A Method of Designing Student Model in Ubiquitous Environment

ijujournal

Ph.D. Registeration seminar

Haitham El-Ghareeb

Big data integration for transition from e-learning to smart learning framework

eraser Juan José Calderón

Km knowledge application.11

leilajannati

Learners attend their courses in remote or hybrid systems find it difficult to follow one size fits all courses. These difficulties have increased with the pandemic, lockdown, and the stress they cause. Hence, the role of adaptive systems to recommend personalized learning resources according to the learner's profile. The purpose of this paper is to design a system for recommending learning objects according learner's condition, including his mental state, his COVID-19 history, as well as his social situation and ability to connect to the e-learning system on a regular basis. In this article, we present an architecture of a recommendation system for personalized learning objects based on ontologies and on rule-based reasoning, and we will also describe the inference rules required for the adaptation of the educational content to the needs of the learners, taking into account the learner’s health and mental state, as well as his social situation. The system designed, and validated using the unified modeling language (UML). It additionally allows teachers to have a holistic view of learners’ progress and situations.

A design of a multi-agent recommendation system using ontologies and rule-bas...

IJECEIAES

Similaire à ICWL 2009 (20)

AN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICES

Collaborative Learning of Organisational Knolwedge

M-Learning

Solving The Problem of Adaptive E-Learning By Using Social Networks

AN ADAPTIVE REUSABLE LEARNING OBJECT FOR E-LEARNING USING COGNITIVE ARCHITECTURE

C017351116

Ijcet 06 09_003

Collaborative learning assistant for android

OLAP based Scaffolding to support Personalized Synchronous e-Learning

Following the user’s interests in mobile context aware recommender systems

Kalvi: An Adaptive Tamil m-Learning System paper

Mobile Learning Framework & Evaluation

Designing and modeling of a multi-agent adaptive learning system (MAALS) usin...

A Method of Designing Student Model in Ubiquitous Environment

A METHOD OF DESIGNING STUDENT MODEL IN UBIQUITOUS ENVIRONMENT

A Method of Designing Student Model in Ubiquitous Environment

Ph.D. Registeration seminar

Big data integration for transition from e-learning to smart learning framework

Km knowledge application.11

A design of a multi-agent recommendation system using ontologies and rule-bas...

Dernier

Organizational Transformation Lead with Culture

Seta Wicaksana

https://www.productmanagementtoday.com/frs/26795801/the-path-to-product-excellence--avoiding-common-pitfalls-and-enhancing-communication In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights. Through compelling storytelling and actionable insights, learn to overcome challenges like misaligned objectives, communication breakdowns, and resistance to change. Takeaways: • Uncover and navigate through common pitfalls that are plaguing product teams today. • Explore proven solutions, laying the groundwork for triumphant product launches. • Gain inspiration from real-world success examples from top digital companies, offering invaluable insights into their winning strategies. • Discover how the symbiotic relationship between product managers, UX/UI designers, and developers can transform pitfalls into opportunities, propelling your product outcomes to unprecedented heights.

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...

Aggregage

959961⊹3876 959961⊹3876 We have a screening system that is mentioning and requires different rounds prior to getting an Chanakyapuri call girl. This integrates giving good planning, and a while later adding the name to an entire profile on our photo show region. Restore your projects and hold focusing on the farthest furthest reaches of the page to find the names that have been added. All of our famous and smooth Chanakyapuri call girls are available to both outcall and in call service. In this way, if you're absolutely new to the city yet know nothing about Chanakyapuri, you can benefit from our Chanakyapuri service for going with to you’re leaned toward spot and region. We collect analysis following the completion of each and every gathering to help with chipping away at our service. focused in on the necessities of our clients. They go through several intensive rounds of gatherings and educational courses before we pick them. After eye to eye gatherings and planning gatherings, we grant our escorts to step into the universe of business. To this end you can expect the best quality. 959961⊹3876 Who can go on dinner dates with you? Is the chance of a superb yet bothering mate frightening immediately? Our VIP Companion Service, Chanakyapuri, will ensure that you participate in the delight of taking out overpoweringly appealing girls to films, early snacks and night social occasions. We keep an all-out record of our girls and the service they give with the objective that you are never compromised in any way. We don't endorse anyone there of psyche to pass any kind of client-related information. You can have certainty that you can believe Chanakyapuri Escort Agency. Utilize one of those girls for your material service now. The situation is wonderful Housewife in Chanakyapuri, both metropolitan and rural, for you to go moving with the accomplished girls. The female escorts in India are uncommonly splendid and properly set themselves up neighbouring. The rich, vigorous and overall, around academic improvement of the escorts in Chanakyapuri is tremendous. Wonderful white escorts in India can unhesitatingly be a principal assistant. Along these lines, call us to painstakingly save your choice and exploit your alleged Girl sexual concurrence for not a truly clear clarification. Big name Girl is perhaps the uncommon business effort in Chanakyapuri. Our business boss is persistently giving new girls and progressively youthful people. Their bodies are warm and fragile like one more imagined youth. Offering them top-quality assist We with ensuring that you have the city with a persevering through impact. Attempt to pick escort in Chanakyapuri and call us moreover for your next trip. Our eminent and most sought-after sexual expert associations. We ensure that the encounters with one of our girls will be reviewed lovingly. We have in general around coordinated call girl who are 100% prepared to give

Call Girls In Noida 959961⊹3876 Independent Escort Service Noida

dlhescort

Value Proposition canvas- Customer needs and pains

P&CO

Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar Call/Whatsapp:- +971551707352 Girls, Call Girls in Dubai, Dubai Call Girls Service, Indian Call Girls in Dubai, Pakistani Call Girls in Dubai, Independent Call Girls in Dubai, Cheap Call Girls in Dubai, Russian Call Girls in Dubai, Hot Dubai Call Girls I have Used the Service from this agency Yesterday in Bur Dubai Area. The Call Girl was so corporative and Fashionable. She Came Into my hotel room. I got This Dubai Call Girl numbers from Proven Expert so straightway I contacted her. I am so happy after using this agency service. This is highly recommended if you are a visitor in Dubai and you don't have an idea how to get the Call Girls In Dubai. This agency is having a big collection of Indian Call Girls In Dubai and Pakistani Call Girls In Dubai and the best thing about it is they all are verified, staff. Even They have a huge variety of Independent Call Girls In Dubai as well. This agency is holding a confirmed Staff which is a great opportunity for every user in Dubai or any part of UAE. After reading many positive reviews about this company i have decided to give it a chance. I contact on this Call Girl number mentioned in the tittle. The whole process was very transparent and clear. I received the Call Girls photos I chose one of them if I'm not wrong she belongs from Pakistan. She came in my hotel near Al rigga next bur Dubai area. I paid her 2500 aed for 4 hrs. We spent together very good time. She was neat and clean and she was wearing full black dress. I really liked her sense of humor. After the 8 hrs she gave me 30 mins extra for some gossip. i will always remember that Golden Shower. This is how my date ended up. Everything was great. This is called a quality service. I will always consider this Call Girl agency in future. Cheers A good option for practical people. Real girls with real Call Girls photos Dubai. It's social nature if you pay for something you require the best results from it. This same synopsis happened in my case. After many attempts finally I have found an established Call Girls Agency in Dubai. I prefer them to use their Call Girls because they are vaccinated and taking care of hygiene as well. they are clean and have a positive attitude. It was simple for me I was searching Dubai Call Girls Numbers and found this profile on proven Expert. then I contact their Tele caller he suggested Sam in 4 hrs for 2500 and guess what it was lovely moments being with her. Now I do not need to go anywhere or to anyone else. My participation was excellent with them, this is the only approved escorts service in Dubai with tested Call Girls. I am using their services for the last 9 months and they have never deceived me in any way. They have their own chauffeurs who bring the Call Girls in less time in any area of Dubai like Al Barsha, JLT or JBR or even Dubai Investment Park DIP too. I am writing here all after enduring your services in all situations. So confidentl

Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar

allensay1

Call Girl In Delhi 959961-/-3876 Door Step Delivery Top Quality Full Educated and Full Cooperative Independent Girls Escort ServiCes In All Over Delhi,Gurgaon,Faridabad,Noida,Ghaziabad I Have Extremely Beautiful Broad Minded Cute Sexy & Hot Call Girls and Escorts, We Are Located in 3* 4* 5* Hotels in Delhi. Safe & Secure High Class Services Affordable Rate 100% Satisfaction,Unlimited Enjoyment. Any Time for Model/Teens Escort in Delhi High class luxury and premium escorts agency. ★ CALL US High Class Luxury and Premium Escorts ServiCe We Provide Well Educated,Royal Class Female,High-Class Escorts Offering a Top High Class Escorts Service In the & Several Nearby All Places Of . ★ Get The High Profile,Well Educated,Good Looking,Full Cooperative Model Services.You Can See Me at My Comfortable Hotels or I Can Visit You In hotel Our Service Available IN All SERVICE, 3/4/5 STAR HOTEL,In Call /Out Call Services.24/7 hrs ★ To Enjoy With Hot and Sexy Girls . • Models • Vip Models • Russian Models • Foreigner Models • Call Center Working Girls/Women • Collage Going Girls. • Travelling Escorts. • INDEPENDENT GIRLS / HOUSE WIFES ★OUR BEST SERVICES: –FOR BOOKING CALL+91-959961-/-3876 ★ A-Level (5 Star Escort) ★ Strip-Tease ★ BBBJ (Bareback Blowjob) ★ BJ (Blowjob Without a Condom) ★ COF (Come On Face) ★ (Oral To Completion) bjnonCovered ★ Special Massage ★ O-Level (Oral sex) ★ Blow Job ★ Oral Sex With A Noncondom) ★. Extraball (Have Sex Many Times) Our Hotels Services Call Girls Near Holiday Inn Mahipalpur Call Girls Near Holiday Inn Mayur Vihar Noida Call Girls Near Radisson Blu Ghaziabad Call Girls Near Radisson Blu Gurgaon Call Girls Near Radisson Blu Faridabad Call Girls Near Radisson Blu Mbd Noida Call Girls Near Sheraton Saket New Delhi Call Girls Near Vivanta by Taj Dwarka New Delhi Call Girls Near ITC Mourya Chanakyapuri Call Girls Near Jaypee Siddharth Rajendra Place Call Girls Near Le Meridien Connaught Place ★ All Meetings We Provide Hottest Female With Me Are Safe And Consensual With Most Limits Respected Complete Satisfaction Guaranteed…Service Available In:- 24/7 3* 4* 5* Star Hotel Services . In Call & Out Call ServiCe Available Also. ★ I Guarantee You To Have An Unforgettable Experience With Me.A Curvy Body, long Hair and Silky Smooth Skin. She Is an Independent Escorts Model Will Give You More Pleasure & Full Satisfaction. ★ I am Very Sensual and Flirtatious With Charming Personality ! I Love To laugh and My Bright Smile Is Ever Present.,HOTEL & HOME SERVICE.PLZZ ★ Available Near All 3* 4* 5* Hotels Of I Want Only Hotel Name,Guest Name,Room No.Only For Confirmation. ——-♡♡♡♡♡THANKS FOR VISITING♡♡♡♡♡——– Booking 24 HRS. NOW CALL FOR ENJOY WITH Call Us ☎+91-959961-/-3876 ———-♡♡♡♡♡THANKS FOR VISITING♡♡♡♡♡———–

Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort

dlhescort

Organisational success today depends on effective communication and collaboration with individuals from cultures with varying beliefs and practices. Indeed, with the workforce increasingly comprised of people of varying cultural backgrounds, leaders must now prioritise the significance of cultural competence in the workplace. Ensuring cultural competence at every level of your organisation cannot be understated. While cultural disparities can manifest in different ways, as a leader, you must build deep and nuanced cultural competence skills and education to accurately spot, address and alleviate the various scenarios that can arise. Failing to recognise the importance of cultural competence or not acting to improve it can lead to cultural negligence. There are a few things to consider to ensure your organisation is on the right track. In this deck, you'll understand the importance of building cultural competence in the workplace. You'll also learn • The three (3) dimensions of Cultural Competence in the workplace • Key strategies to build a culturally competent workforce • Major benefits you stand to gain by having a culturally competent team.

Cracking the Cultural Competence Code.pptx

Workforce Group

Call Girls In Delhi ☎8448577510 Door Step Delivery We Offering You 100% Genuine Completed Body And Mind Relaxation With Happy Ending ServiCe Done By Most Attractive Charming Soft Spoken Bold Beautiful Full Cooperative Independent Escort Girls ServiCe In All Star Hotel And Home ServiCe In All Over Delhi Noida Gurgaon Faridabad Ghaziabad Greater Noida, I Have Extremely Beautiful Broad Minded Cute Sexy & Hot Call Girls and Escorts, We Are Located in 3* 4* 5* Hotels in Delhi. Safe & Secure High Class Services Affordable Rate 100% Satisfaction, Unlimited Enjoyment. Any Time for Model/Teens Escort in Delhi High Class luxury and Premium Escorts ServiCe. ★ CALL US High Class Luxury and Premium Escorts ServiCe We Provide Well Educated Royal Class Female,High Profile Escorts Offering a Top High Class Escorts Service In the & Several Nearby All Places Of . ★ To Enjoy With Hot and Sexy Girls . ★ We Are Providing :- • Models • Vip Models • Russian Models • Foreigner Models • Call Center Working Girls/Women • Housewife • Collage Going Girls. • Travelling Escorts. • Ramp-Models • INDEPENDENT GIRLS / HOUSE WIFES ★OUR BEST SERVICES: ★ A-Level (5 Star Escort) ★ Strip-Tease ★ BBBJ (Bareback Blowjob) ★ Spending time in my rooms ★ BJ (Blowjob Without a Condom) ★ COF (Come On Face) ★ Completion ★ (Oral To Completion) bjnonCovered ★ Special Massage ★ O-Level (Oral sex) ★ Blow Job; ★ Oral Sex With A Noncondom) ★ COB (Come On Body) ★. Extraball (Have Sex Many Times) ★ All Meetings We Provide Hottest Female With Me Are Safe And Consensual With Most Limits Respected Complete Satisfaction Guaranteed…Service Available In:- 24/7 3* 4* 5* Star Hotel Services . In Call & Out Call ServiCe Available Also. FOR BOOKING Call/WhatsApp ☎+91-8448577510 ★ I Guarantee You To Have An Unforgettable Experience With Me.A Curvy Body, long Hair and Silky Smooth Skin. She Is an Independent Escorts Model Will Give You More Pleasure & Full Satisfaction. ★ I am Very Sensual and Flirtatious With Charming Personality! I Love To laugh and My Bright Smile Is Ever Present. ,HOTEL & HOME SERVICE..PLZZ ★ Available Near All 3* 4* 5* Hotels Of I Want Only Hotel Name , Guest Name , Room No. Only For Confirmation. —– Booking 24/7 HRS —–

Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...

lizamodels9

Call Girls Zirakpur Call Girls👧 Book Now📱7837612180 📞👉Call Girl In Service Zirakpur Call Girls Service No Advance Cash On Delivery Zirakpur BEST Call Girls in Zirakpur Escort Service provide Cute Nice sweet and Sexy Models in beautiful Zirakpur city cash in hand to hand call girl in Zirakpur and Zirakpur escorts. HOT & SEXY MODELS // COLLEGE GIRLS IN Zirakpur AVAILABLE FOR COMPLETE ENJOYMENT WITH HIGH PROFILE INDIAN MODEL AVAILABLE HOTEL & HOME ★ SAFE AND SECURE HIGH CLASS SERVICE AFFORDABLE RATE ★ 100% SATISFACTION,UNLIMITED ENJOYMENT. ★ All Meetings are confidential and no information is provided to any one at any cost. ★ EXCLUSIVE Profiles Are Safe and Consensual with Most Limits Respected ★ Service Available In: - HOME & 24x7 :: 3 * 5 *7 *Star Hotel Service .In Call & Out call Services : ★ A-Level (5 star escort) ★ Strip-tease ★ BBBJ (Bareback Blowjob)Receive advanced sexual techniques in different mode make their life more pleasurable. ★ Spending time in hotel rooms ★ BJ (Blowjob Without a Condom) ★ Completion (Oral to completion) ★ Covered (Covered blowjob Without a Condom)Zirakpur Call Girls👧 Book Now📱7837612180 📞👉Zirakpur Call Girl Service No Advance Cash On Delivery

Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...

Sheetaleventcompany

Call Now ☎️🔝 9332606886 🔝 Call Girls ❤ Service In Bhilwara Female Escorts Service Near You <J.R.P> 02-05-2024 Model Call Girl Services in India reach out to us at 🔝 9332606886🔝✔️✔️ Our agency presents a selection of young, charming call girls available for bookings at Oyo Hotels. Experience high-class escort services at pocket-friendly rates, with our female escorts exuding both beauty and a delightful personality, ready to meet your desires. Whether it's Housewives, College girls, Russian girls, Muslim girls, or any other preference, we offer a diverse range of options to cater to your tastes. We provide both in- call and out-call services for your convenience. Our in-call location in India ensures cleanliness, hygiene, and 100% safety, while our out-call services offer doorstep delivery for added ease. We value your time and money, hence we kindly request pic collectors, time-passers, and bargain hunters to refrain from contacting us. Our services feature various packages at competitive rates: One shot: ₹2000/in-call, ₹5000/out-call Two shots with one girl: ₹3500 /in-call, ₱6000/out-call Body to body massage with sex: ₱3000/in-call Full night for one person: ₱7000/in-call, ₱10000/out-call Full night for more than 1 person : Contact us at 🔝 9332606886🔝. for details Operating 24/7, we serve various locations Vadodara,Nashik,Rajkot,Kalyan Khas near metro stations. For premium call girl services in India 🔝 9332606886🔝. Thank you for considering us !India Escorts SASTI 🔝 9332606886🔝– ONLINE CALL GRILS IN India [BOOKING क्या आप सेक्स के लिए लड़की चाहते हैं अगर चाहते है तो कॉल करे x-) {} • In Call and Out Call Service in India • 3* 5* 7* Hotels Service x-) {} • 24 Hours Available • Indian, Punjabi, Kashmiri Escorts x-) {} • Real Models, College Girls, House Wife, Also Available • Short Time and Full Time Service Available x-) {} • Hygienic Full AC Neat and Clean Rooms Avail. In Hotel 24 hours • Daily New Escorts Staff Available • Minimum to Maximum Range Available

Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...

Anamikakaur10

Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...

allensay1

Lundin Gold - Q1 2024 Conference Call Presentation (Revised)

Adnet Communications

Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...

lizamodels9

WHITEFIELD CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL IN We are Providing :- ● – Private independent collage Going girls . ● – independent Models . ● – House Wife’s . ● – Private Independent House Wife’s ● – Corporate M.N.C Working Profiles . ● – Call Center Girls . ● – Live Band Girls . ●- Foreigners & Many More . Service type: 1.In call 2.out call 3. full Lip to Lip kiss 4.69 5.b-job without Condom 6. Hard Core sex & Much More. 7 Body to Body Touch 8 Kissing 9 Sucking Boobs and More 10 Enjoy by Hand 11 Relax By Oral 12 Sex with Happy Ending • In Call and Out Call Service • 3* 5* 7* Hotels Service • 24 Hours Available • Indian, Russian, Punjabi, Kashmiri Escorts • Real Models, College Girls, House Wife, Also Available • Short Time and Full Time Service Available • Hygienic Full AC Neat and Clean Rooms Avail. In Hotel 24 hours • Daily Escorts Staff Available • Minimum to Maximum Range Available.c al

Whitefield CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL

kapoorjyoti4444

Business Model Canvas (BMC)- A new venture concept

P&CO

CALL NOW 98787-99926 CHANDIGARH BEST Call Girls in CHANDIGARH Escort Service provide Cute Nice sweet and Sexy Models in beautiful CHANDIGARH city cash in hand to hand call girl in CHANDIGARH and CHANDIGARH escorts. HOT & SEXY MODELS // COLLEGE GIRLS IN CHANDIGARH AVAILABLE FOR COMPLETE ENJOYMENT WITH HIGH PROFILE INDIAN MODEL AVAILABLE HOTEL & HOME ★ SAFE AND SECURE HIGH CLASS SERVICE AFFORDABLE RATE ★ 100% SATISFACTION,UNLIMITED ENJOYMENT. ★ All Meetings are confidential and no information is provided to any one at any cost. ★ EXCLUSIVE Profiles Are Safe and Consensual with Most Limits Respected ★ Service Available In: - HOME & 24x7 :: 3 * 5 *7 *Star Hotel Service .In Call & Out call Services : ★ A-Level (5 star escort) ★ Strip-tease ★ BBBJ (Bareback Blowjob)Receive advanced sexual techniques in different mode make their life more pleasurable. ★ Spending time in hotel rooms ★ BJ (Blowjob Without a Condom) ★ Completion (Oral to completion) ★ Covered (Covered blowjob Without a Condom)👉Chandigarh Call Girls 👉9878799926👉Just Call👉Chandigarh Call Girl In Chandigarh No Advance Only Cash On Delivery

👉Chandigarh Call Girls 👉9878799926👉Just Call👉Chandigarh Call Girl In Chandiga...

rajveerescorts2022

Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.

Falcon Invoice Discounting: The best investment platform in india for investors

Falcon Invoice Discounting

BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL IN We are Providing :- ● – Private independent collage Going girls . ● – independent Models . ● – House Wife’s . ● – Private Independent House Wife’s ● – Corporate M.N.C Working Profiles . ● – Call Center Girls . ● – Live Band Girls . ●- Foreigners & Many More . Service type: 1.In call 2.out call 3. full Lip to Lip kiss 4.69 5.b-job without Condom 6. Hard Core sex & Much More. 7 Body to Body Touch 8 Kissing 9 Sucking Boobs and More 10 Enjoy by Hand 11 Relax By Oral 12 Sex with Happy Ending • In Call and Out Call Service • 3* 5* 7* Hotels Service • 24 Hours Available • Indian, Russian, Punjabi, Kashmiri Escorts • Real Models, College Girls, House Wife, Also Available • Short Time and Full Time Service Available • Hygienic Full AC Neat and Clean Rooms Avail. In Hotel 24 hours • Daily Escorts Staff Available • Minimum to Maximum Range Available.c al

BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL

kapoorjyoti4444

PHX May 2024 Corporate Presentation Final

PanhandleOilandGas

Marel Q1 2024 Investor Presentation from May 8, 2024

Marel

Dernier (20)

Organizational Transformation Lead with Culture

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...

Call Girls In Noida 959961⊹3876 Independent Escort Service Noida

Value Proposition canvas- Customer needs and pains

Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar

Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort

Cracking the Cultural Competence Code.pptx

Russian Call Girls In Rajiv Chowk Gurgaon ❤️8448577510 ⊹Best Escorts Service ...

Call Girls Zirakpur👧 Book Now📱7837612180 📞👉Call Girl Service In Zirakpur No A...

Call Now ☎️🔝 9332606886🔝 Call Girls ❤ Service In Bhilwara Female Escorts Serv...

Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...

Lundin Gold - Q1 2024 Conference Call Presentation (Revised)

Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...

Whitefield CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL

Business Model Canvas (BMC)- A new venture concept

👉Chandigarh Call Girls 👉9878799926👉Just Call👉Chandigarh Call Girl In Chandiga...

Falcon Invoice Discounting: The best investment platform in india for investors

BAGALUR CALL GIRL IN 98274*61493 ❤CALL GIRLS IN ESCORT SERVICE❤CALL GIRL

PHX May 2024 Corporate Presentation Final

Marel Q1 2024 Investor Presentation from May 8, 2024

ICWL 2009

3. Introduction

7. Related Work

10. Framework Foundation

11.

12.

13. Basic Elements of a User Adaptive System

14. Basic Elements of a User Adaptive System

15. Layer Model Components

16.

17. Context Acquisition Layer

18.

19. Information Classification Layer

20.

21. Learner Model Layer

22.

23. Information Extraction Layer

24.

25. Learner Profile Representation Layer

26.

27. Reasoning Layer

28.

29. Interface Layer

30.

31.

32. Learner Control over the M-learning Application

33.

34. Conclusion & Future Work

35.

36.

37.

38.

ICWL 2009

Recommandé

Recommandé

Contenu connexe

Tendances

Tendances (17)

En vedette

En vedette (20)

Similaire à ICWL 2009

Similaire à ICWL 2009 (20)

Dernier

Dernier (20)

ICWL 2009