Daniel Burgos: IMS Learning Design next move: extensions and improvements on personalisa-tion and interoperability
http://www.ld-grid.org/workshops/ASLD11
John Cook: Using Design Research to Explore the Use of Mobile Devices and Social Media to Mediate ‘Informal Learning’
http://www.ld-grid.org/workshops/ASLD11
Ana Maia, Teresa Pessoa, Leonel Morgado and Paulo Martins: Specification of pedagogical processes and dynamics in e-learning through modeling languages
http://www.ld-grid.org/workshops/ASLD11
Asld2011 prieto dimitriadis_villagrá-sobrinYishay Mor
Luis Pablo Prieto, Yannis Dimitriadis and Sara Villagrá-Sobrin: Representing learning design and classroom orchestration through atomic patterns
http://www.ld-grid.org/workshops/ASLD11
John Cook: Using Design Research to Explore the Use of Mobile Devices and Social Media to Mediate ‘Informal Learning’
http://www.ld-grid.org/workshops/ASLD11
Ana Maia, Teresa Pessoa, Leonel Morgado and Paulo Martins: Specification of pedagogical processes and dynamics in e-learning through modeling languages
http://www.ld-grid.org/workshops/ASLD11
Asld2011 prieto dimitriadis_villagrá-sobrinYishay Mor
Luis Pablo Prieto, Yannis Dimitriadis and Sara Villagrá-Sobrin: Representing learning design and classroom orchestration through atomic patterns
http://www.ld-grid.org/workshops/ASLD11
Asld2011 hernández leo-abenia_moreno_chacón_blatYishay Mor
Davinia Hernández-Leo, Pablo Abenia, Pau Moreno, Jonathan Chacón and Josep Blat: Let’s shake on it: co-editing and sharing diverse learning design
http://www.ld-grid.org/workshops/ASLD11
A Conceptual Understanding of how Educational Technology Coaches help Teache...eraser Juan José Calderón
"A Conceptual Understanding of how Educational Technology Coaches help Teachers Integrate iPad Affordances into their Teaching " de Gail Drennan and Ian Moll de la School of Education, University of the Witwatersrand, Johannesburg . EJEL e-journal of e-learning , en su Volume 16 Issue 2 / Oct 2018
What is the potential for the use of social media and mobile devices in informal, professional, work-based learning?
John Cook, LTRI, London Metropolitan University
Norbert Pachler, Institute of Education, University of London
CTLT, University of British Columbia,
Monday 16th April
Asld2011 dimitriadis prieto_villagrá-sobrinYishay Mor
Yannis Dimitriadis, Luis Pablo Prieto and Sara Villagrá-Sobrin: Designing for enactment: Multi-level patterns and routines in teacher practice
http://www.ld-grid.org/workshops/ASLD11
The Importance of the Use of Technological Tools in the Sesi Senai Catalão Sc...Alexandre António Timbane
Abstract: The article discusses the development of the educational robotic tool through the application of LEGO KIT applied to students of Basic Education of SESI/ SENAI in Catalan. To support this work, we sought theoretical arguments in relevant articles that deal with the subject in the academic and institutional Google database SESI and SENAI, which from the reading and analysis of the theories cited in the texts, provided the content for the argumentation of the discussions on the mechanisms for applying the LEGO KIT to EBEP students. The methodology was the selective and exploratory bibliographical review, through the reading of institutional material and interview of the pedagogical team of the institution and students participating in the project, comparison of performance results of participation in the FLL Tournament, ENEM, SISUTEC and vestibular. After the case study it was verified that educational robotics can be an innovative and dynamic tool of the teachinglearning process in an educational institution.
Revisiting the definition of Mobile LearningHelen Farley
Mobile learning is increasingly seen as a boon to universities and educators as a means of enabling learning anywhere, anytime and at the convenience of the learner. Even though the field of mobile learning is in its infancy, there is no common understanding of what mobile learning is. Previous attempts at defining mobile learner have either been overly inclusive or exclusive, and have focused on characteristics of the mediating technology, the learner, or the nature of the learning activity. Inspired by Wittgenstein’s theory of family resemblances, this paper explores the attempt to create a new definition of mobile learning that will be dynamic, drawing from a collection of characteristics that may change over time rather than just supplying a single, unchanging definition. The revised definition will be used to support the development of a Mobile Learning Evaluation Framework by clarifying the attributes and features to be included in a robust and flexible definition of mobile learning. The outcome may be of value to researchers in the mobile learning field and educators considering incorporating mobile learning initiatives into current pedagogical strategies.
Designing for Change: Mash-Up Personal Learning EnvironmentseLearning Papers
Authors:Fridolin Wild, Felix Mödritscher, Steinn E. Sigurdarson.
Institutions for formal education and most work places are equipped today with at least some kind of tools that bring together people and content artefacts in learning activities to support them in constructing and processing information and knowledge. For almost half a century, science and practice have been discussing models on how to bring personalisation through digital means to these environments.
Asld2011 ryberg buus_georgsen_nyvang_davidsenYishay Mor
Thomas Ryberg, Lillian Buus, Marianne Georgsen, Tom Nyvang and Jacob Davidsen: Introducing the Collaborative E-learning Design method (CoED)
http://www.ld-grid.org/workshops/ASLD11
Asld2011 hernández leo-abenia_moreno_chacón_blatYishay Mor
Davinia Hernández-Leo, Pablo Abenia, Pau Moreno, Jonathan Chacón and Josep Blat: Let’s shake on it: co-editing and sharing diverse learning design
http://www.ld-grid.org/workshops/ASLD11
A Conceptual Understanding of how Educational Technology Coaches help Teache...eraser Juan José Calderón
"A Conceptual Understanding of how Educational Technology Coaches help Teachers Integrate iPad Affordances into their Teaching " de Gail Drennan and Ian Moll de la School of Education, University of the Witwatersrand, Johannesburg . EJEL e-journal of e-learning , en su Volume 16 Issue 2 / Oct 2018
What is the potential for the use of social media and mobile devices in informal, professional, work-based learning?
John Cook, LTRI, London Metropolitan University
Norbert Pachler, Institute of Education, University of London
CTLT, University of British Columbia,
Monday 16th April
Asld2011 dimitriadis prieto_villagrá-sobrinYishay Mor
Yannis Dimitriadis, Luis Pablo Prieto and Sara Villagrá-Sobrin: Designing for enactment: Multi-level patterns and routines in teacher practice
http://www.ld-grid.org/workshops/ASLD11
The Importance of the Use of Technological Tools in the Sesi Senai Catalão Sc...Alexandre António Timbane
Abstract: The article discusses the development of the educational robotic tool through the application of LEGO KIT applied to students of Basic Education of SESI/ SENAI in Catalan. To support this work, we sought theoretical arguments in relevant articles that deal with the subject in the academic and institutional Google database SESI and SENAI, which from the reading and analysis of the theories cited in the texts, provided the content for the argumentation of the discussions on the mechanisms for applying the LEGO KIT to EBEP students. The methodology was the selective and exploratory bibliographical review, through the reading of institutional material and interview of the pedagogical team of the institution and students participating in the project, comparison of performance results of participation in the FLL Tournament, ENEM, SISUTEC and vestibular. After the case study it was verified that educational robotics can be an innovative and dynamic tool of the teachinglearning process in an educational institution.
Revisiting the definition of Mobile LearningHelen Farley
Mobile learning is increasingly seen as a boon to universities and educators as a means of enabling learning anywhere, anytime and at the convenience of the learner. Even though the field of mobile learning is in its infancy, there is no common understanding of what mobile learning is. Previous attempts at defining mobile learner have either been overly inclusive or exclusive, and have focused on characteristics of the mediating technology, the learner, or the nature of the learning activity. Inspired by Wittgenstein’s theory of family resemblances, this paper explores the attempt to create a new definition of mobile learning that will be dynamic, drawing from a collection of characteristics that may change over time rather than just supplying a single, unchanging definition. The revised definition will be used to support the development of a Mobile Learning Evaluation Framework by clarifying the attributes and features to be included in a robust and flexible definition of mobile learning. The outcome may be of value to researchers in the mobile learning field and educators considering incorporating mobile learning initiatives into current pedagogical strategies.
Designing for Change: Mash-Up Personal Learning EnvironmentseLearning Papers
Authors:Fridolin Wild, Felix Mödritscher, Steinn E. Sigurdarson.
Institutions for formal education and most work places are equipped today with at least some kind of tools that bring together people and content artefacts in learning activities to support them in constructing and processing information and knowledge. For almost half a century, science and practice have been discussing models on how to bring personalisation through digital means to these environments.
Asld2011 ryberg buus_georgsen_nyvang_davidsenYishay Mor
Thomas Ryberg, Lillian Buus, Marianne Georgsen, Tom Nyvang and Jacob Davidsen: Introducing the Collaborative E-learning Design method (CoED)
http://www.ld-grid.org/workshops/ASLD11
This presentation shows the philosophy of the CADMOS learning desing tool which has a graphical user interface and exports designs in IMS LD format.It This presentation was made at Iadis2011 conference in Rome.
Adaptive Learning Management System Using Semantic Web Technologies ijsc
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 TECHNOLOGIESijsc
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.
Context and Culture Metadata – A tool for the internationalization of e-Learn...Richter Thomas
Pre-Publish version of: Pawlowski, J.-M., & Richter, T. (2007). Context and Culture Metadata – A tool for the internationalization of e-Learning. In: Montgomerie, C. & Seale, J. (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, Chesapeake (Vancouver, Canada), VA: AACE, pp. 4528-4537
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.
State of the art of learning styles based adaptive educational hypermedia sys...ijcsit
The notion that learning can be enhanced when a teaching approach matches a learner’s learning style has
been widely accepted in classroom settings since the latter represents a predictor of student’s attitude and
preferences. As such, the traditional approach of ‘one-size-fits-all’ as may be applied to teaching delivery
in Educational Hypermedia Systems (EHSs) has to be changed with an approach that responds to users’
needs by exploiting their individual differences. However, establishing and implementing reliable
approaches for matching the teaching delivery and modalities to learning styles still represents an
innovation challenge which has to be tackled. In this paper, seventy six studies are objectively analysed for
several goals. In order to reveal the value of integrating learning styles in EHSs, different perspectives in
this context are discussed. Identifying the most effective learning style models as incorporated within
AEHSs. Investigating the effectiveness of different approaches for modelling students’ individual learning
traits is another goal of this study. Thus, the paper highlights a number of theoretical and technical issues
of LS-BAEHSs to serve as a comprehensive guidance for researchers who interest in this area.
The e-learning contained many educational resources are generally used in learning systems like Moodle, It’s free open source software packages designed and flexible platform to create Learning Objects (LOs) and users’ accounts. The author demonstrates how to use semantic web technologies to improve online learning environments and bridge the gap between learners and LOs. The ontological construction presented here helps formalize LOs context as a complex interplay of different learning-related elements and shows how we can use semantic annotation to interrelate diverse between learner and LOs. On top of this construction, the author implemented several feedback channels for educators to improve the delivery of future Web-based learning. The particular aim of this paper was to provide a solution based in the Moodle Platform. The main idea behind the approach presented here is that ontology which can not only be useful as a learning instrument but it can also be employed to assess students’ skills. For it, each student is prompted to express his/her beliefs by building own discipline-related ontology through an application displayed in the interface of Moodle. This paper presents the ontology for an e-Learning System, which arranges metadata, and defines the relationships of metadata, which are about learning objects; belong to academic courses and user profiles. This ontology has been incorporated as a critical part of the proposed architecture. By this ontology, effective retrieval of learning content, customizing Learning Management System (LMS) is expected. Metadata used in this paper are based on current metadata standards. This ontology specified in human and machine-readable formats. In implementing it, several APIs were defined to manage the ontology. They were introduced into a typical LMS such as Moodle. Proposed ontology maps user preferences with learning content to satisfy learner requirements. These learning objects are presented to the learner based on ontological relationships. Hence it increases the usability and customizes the LMS. In conclusion, ontologies have a range of potential benefits and applications in further and higher education, including the sharing of information across e-learning systems, providing frameworks for learning object reuse, and enabling information between learner and system parts.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...iosrjce
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.
Semantic web technologies have been attracting interest in many domains. E-learning is not an exception which also involves with many activities or tasks such as instructional design, content development, authoring, delivery, assessment, feedback and etc. which can be sequenced and composed as workflow. Web based E-learning services should be focused in this aspect to fulfill variant e-learners’ requirements. This paper focuses on the Adaptive instructional design framework in which three significant facets are considered 1) Knowledge extraction from user’s behavior, interactions and actions and convert them into semantics 2) Detection of learners style from the semantics defined in the knowledge base and 3) Composition of the workflow for the variant learners to satisfy their requirements dynamically. In this paper we have proposed SEALMS –Semantically Enhanced Adaptive Learning Management System a theoretical framework tracks the learners profile and composes the services for learners using OWL-S. Modules of SEALMS include intelligent agents which perform a kind of reasoning and deriving results from the input fed, finally personalized workflow has been recommended for the elearner.SEALMS is also a cyclic model where the feedback can be taken and reviving process can be initiated from the start to obtain the better results.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the benefits of the students. In this research work, different data mining classification models are applied to analyse and predict students’ feedback based on their Moodle usage data. The models described in this paper surely assist the educators, decision maker, mentors to early engage with the issues as address by students. In this research, real data from a semester has been experimented and evaluated. To achieve the better classification models, discretization and weight adjustment techniques have also been applied as part of the pre – processing steps. Finally, we conclude that for efficient decision making with the student’s feedback the classifier model must be appropriate in terms of accuracy and other important evaluation measures. Our experiments also shows that by using weight adjustment techniques like information gain and support vector machines improves the performance of classification models.
In the current digital era, education system has witness tremendous growth in data storage and efficient retrieval. Many Institutes have very huge databases which may be of terabytes of knowledge and information. The complexity of the data is an important issue as educational data consists of structural as well as non-structural type which includes various text editors like node pad, word, PDF files, images, video, etc. The problem lies in proper storage and correct retrieval of this information. Different types of learning platform like Moodle have implemented to integrate the requirement of educators, administrators and learner. Although this type of platforms are indeed a great support of educators, still mining of the large data is required to uncover various interesting patterns and facts for decision making process for the
benefits of the students.
A Model for Usability Evaluation of Learning Management SystemsIJITE
Learning management systems (LMSs) are increasingly popular in education. The usability of these
systems must be examined to ensure they meet the needs of both students and faculty. To address the
limitations of existing models for evaluating the usability of LMS, this research proposes a new model that
combines objective measures collected from eye-tracking with subjective measures collected from
retrospective think-aloud protocols and questionnaires. This model evaluates the effectiveness, efficiency,
satisfaction, and learnability of LMSs. The proposed model was applied to study the usability of the LMS
used at King Saud University (Blackboard) and was compared with other existing usability evaluation
models. The findings indicate that the proposed model fulfilled its intended purpose and provided more
comprehensive results than existing models.
A MODEL FOR USABILITY EVALUATION OF LEARNING MANAGEMENT SYSTEMSIJITE
Learning management systems (LMSs) are increasingly popular in education. The usability of these
systems must be examined to ensure they meet the needs of both students and faculty. To address the
limitations of existing models for evaluating the usability of LMS, this research proposes a new model that
combines objective measures collected from eye-tracking with subjective measures collected from
retrospective think-aloud protocols and questionnaires. This model evaluates the effectiveness, efficiency,
satisfaction, and learnability of LMSs. The proposed model was applied to study the usability of the LMS
used at King Saud University (Blackboard) and was compared with other existing usability evaluation
models. The findings indicate that the proposed model fulfilled its intended purpose and provided more
comprehensive results than existing models.
OpenEducation Challenge Finalists' Workshop: Design Thinking SessionYishay Mor
http://openeducationchallenge.eu/
The purpose of this workshop is to help the candidates crystallize and articulate the educational value of their innovation.
By the end of this workshop, you will be able to articulate:
* Who are your potential users, stakeholders, and beneficiaries
* What is the context in which they operate
* What are their needs that your innovation addresses
* What are the current alternatives, and why they do not suffice
* What is the essence of your innovation, and why you are confident that it will address your potential users needs in their context.
How to ruin a MOOC? JISC RSC Yorkshire & the Humber Online Conference 2013Yishay Mor
The Open Learning Design Studio MOOC: Learning Design for a 21st Century Curriculum (http://www.olds.ac.uk/) was the first ever project-based MOOC on learning design. This ambitious MOOC ran for 9 weeks in early 2013. Its structure was based on a design inquiry model, where designers identify a (learning/curriculum) design challenge, explore it to gain an understanding of its context and driving forces, generate possible solutions, implement a solution and reflect on the process as a whole and its outputs. The MOOC exposed participants to a wide range of voices, approaches, representations, and tools for learning design. It incorporated a host of innovations in pedagogy and technology including Badges (http://www.olds.ac.uk/badges). Over 2000 people registered, over 1000 participated in the first week, and several hundred were active thoughout. OLDS MOOC adopted a radically open approach - registration was optional, and all the MOOC resources were made available as OERs. This session will reflect on what went well, what not so much, and what lessons can be learned.
The METIS project (http://metis-project.org/) aims to promote a professional culture of learning design, by providing educators with an Integrated Learning Design Environment (ILDE) and a workshop package for training educators in using the ILDE to support effective learning design.
Learning design is the act of devising new practices, plans of activity, resources and tools aimed at achieving particular educational aims in a given situation. Learning design breaches the divide between research and practice by projecting theoretical insights into concrete contexts, and abstracting transferable knowledge from practical experience.
The Metis learning design workshops are designed to guide educators in applying a critical and inquisitive approach to issues and concerns that matter the most to them and their students. We begin by exploring the context in which you work and the challenges you are faced with, then provide methods and tools to help you identify solutions for these challenges. Finally, you will be able to deploy the designs you produce to a VLE at the click of a button. These workshops are supported by the ILDE, a bespoke environment for co-design of learning, developed by the Metis project.
Metis project deliverable D3.2: Draft of pilot workshopYishay Mor
This deliverable represents the analysis of best practices and workshop design from the first cycle of the METIS project methodology. Alongside this report a prototype is provided to allow access to the package of resources representing a workshop structure developed from the preliminary analysis of best practices in teacher training reported in Deliverable D3.1. Section 2 provides an account of the review of best practices, the process, current status and outcomes, and plans for the future. It also lists risks and challenges and implications to and from WP 2 and 4.
http://www.ld-grid.org/workshops/design-inquiry2013
Learning Design, to be effective, should be informed and evaluated by teacher inquiry, or, should itself be a process of inquiry. Teacher Inquiry into Student Learning should help to optimise the design of activities and resources.
The objectives of this workshop are to establish a new strand of inquiry aimed at the synergy of LD and TISL, solidify its theoretical foundations, propose methodological instruments which build on these foundations and consider tools and representations which support these instruments.
http://altc2012.alt.ac.uk/talks/28031
Our era is distinguished by the wealth of open and readily available information, and the accelerated evolution of social, mobile and creative technologies. These offer learners and educators unprecedented opportunities, but also entail increasingly complex challenges. Consequently, the role of educators needs to shift from distributors of knowledge to designers for learning. Educators may still provide access to information, but now they also need to carefully craft the conditions for learners to enquire, explore, analyse, synthesise and collaboratively construct their knowledge from the variety of sources available to them. The call for such a repositioning of educators is heard from leaders in the field of TEL and resonates well with the growing culture of design-based research in Education. Yet, it is still struggling to find a foothold in educational practice.
In October 2011, the Art and Science of Learning Design (ASLD) workshop was convened in London, UK, to explore the tools, methods, and frameworks available for practitioners and researchers invested in designing for learning, and to articulate the challenges in this emerging domain. The workshop adopted an unconventional design, whereby contributions were shared online beforehand, and the event itself was dedicated to synergy and synthesis. This paper presents an overview of the emerging themes identified at the ASLD workshop, and guides the reader through further reading of the workshop outcomes. First, we introduce the topic of Learning Design, and the themes we will be considering. We present and compare some common definitions of Learning Design, and clarifying its links to the related but distinctly different field of Instructional Design. We then explore its relevance and value to educators, content and technology developers, and researchers, examining some of the current issues and challenges. We present an overview of the workshop contributions, relating them to the key thematic strands of Learning Design, and conclude with three significant challenges to be explored in future research.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Asld2011 burgos
1. IMS Learning Design next move: extensions and improvements on personalisa-
tion and interoperability
1, 2
Daniel Burgos
1
Atos Research & Innovation 2
International University of La Rioja (UNIR)
Albarracin 25, Madrid 28027, Spain Gran Via Rey Juan Carlos I 41
daniel.burgos@ atosresearch.eu Logroño, La Rioja 26002, Spain
www.atosresearch.eu www.unir.net
Abstract
The work presented in this paper summarizes the research performed in order to implement a set of Units of Learning
(UoLs) focused on adaptive learning processes, using the specification IMS Learning Design (IMS-LD). Through the im-
plementation and analysis of four learning scenarios, and one additional application case, we identify a number of con-
straints on the use of IMS-LD to support adaptive learning. Indeed, our work in this paper shows how IMS-LD expresses
adaptation. In addition, our research presents a number of elements and features that should be improved and-or modified
to achieve a better support of adaptation for learning processes. Furthermore, we point out to interoperability and authoring
issues too. Finally, we use the work carried out to suggest extensions and modifications of IMS-LD with the final aim of
better supporting the implementation of adaptive learning processes.
1 A brief description of the IMS Learning Design specification
IMS Learning Design (or simply IMS-LD) [IMS, 2003] was aimed to transform regular lesson plans into interoperable
Units of Learning (UoL). This specification is able to use any pedagogical model to get a UoL run-able and editable in an
interoperable way. IMS-LD augments other well-known e-learning specifications aforementioned, like SCORM, IMS Con-
tent Packaging, IMS Question and Test Interoperability or IMS Simple Sequencing. Furthermore, IMS-LD provides a lan-
guage to describe the teaching and learning process in a Unit of Learning. It describes among other things the roles, the ac-
tivities, the basic information structure, the communication among different roles and users; and all these under the peda-
gogical approach decided by the teacher and-or the learning designer. In this section, we show what is IMS-LD and how it
is structured, as well as how it provides Adaptation within the UoLs
IMS-LD is able to describe a full learning flow with several elements -such as roles, activities, environments or resources-
and features -such as properties, conditions, monitoring services or notifications [Burgos & Griffiths, 2005; Koper & Tatter-
sall, 2005].
The usual life-cycle starts with a lesson plan modelled according to the IMS-LD specification, defining roles, learning ac-
tivities, services and several other elements, inside an XML document called Manifest. An information package written in
IMS Content Packaging [IMSCP, 2001] is used as a container for the resources and links them with the IMS-LD structure.
Later, the Manifest is packaged with the nested resources in a compressed ZIP file, meaning a UoL. Several examples avail-
able are shown later on.
IMS Learning Design uses the metaphor of a theatrical play to visualize how to model Units of Learning. A play is per-
formed by a number of actors, who may take up a number of roles at different times in the play. Similarly in learning design
a learner can take up different roles at different stages of a learning process. At the end of each act the action stops, all the
learners are synchronised, and then a something new can begin.
2 IMS-LD and Adaptation
IMS-LD consists of three levels: Level A, with the definition of the method, plays, acts, roles, role-parts, learning activities,
support activities and environments. It is the core of the specification, contains the description of the elements that configure
IMS LD and the coordination between them. For instance, role-parts define what activities must be taken by a role in order
to complete an act and, subsequently, a play. In addition to the basic structure of Level A, the elements in Level B and Level
C are actually the key for more expressive UoLs (for instance, based on Adaptation or Collaboration), as they combine sev-
eral features that encourage and make the content and the learning flow more flexible [Koper & Burgos, 2005] (i.e. proper-
ties, conditions, calculations, global elements, monitoring service, and notifications)). Furthermore, the combination of these
elements allows for the modelling of several classical adaptive methods (i.e. reuse of pedagogical patterns, adaptability,
navigational guidance, collaborative learning, contextualized and mobile distributed learning, Adaptation to stereotypes),
making use of different structural elements of IMS-LD, like i.e. Environment, Content, User groups and Learning flow
[Burgos et al., 2007].
In a literature study, we identify eight different kinds of Adaptation being carried out in eLearning systems [Burgos, 2008]:
Interface based, Learning flow based, Content based, Interactive problem solving support, Adaptive information filtering,
Adaptive user grouping, Adaptive evaluation, and Changes on-the-fly. All of them use various inputs provided during the
learning process and aim to tune the activities and actions of the learner to get the best learning experience as possible [Butz
et al., 2003]. A wide and consistent set of rules of dependencies among users, methods and learning objects is needed to
describe these eight types of Adaptation, and moreover their possible combinations. If we categorize all these types of Ad-
aptation, we can group them in two clusters [Ahmad et al., 2004; Chin, 2001; De Bra et al., 2004; Baeza-Yates & Ribeiro-
Nieto, 1999; Van Rosmalen & Boticario, 2005; Merceron & Yacef, 2003; Romero et al., 2003]. The first one consists of
three types of Adaptation:
2. 1. Interface-based (also called adaptive navigation and related to usability and adaptability) where elements and options of
the interface are positioned on the screen and their properties are defined (color, size, shadow, etc.); this is closely related to
general customization and supporting people with special needs which influence personalization, such as colour impairment
or poor hearing, for instance.
2. Learning flow-based, where the learning process is dynamically adapted to sequence the contents of the course in differ-
ent ways. The learning path is dynamic and personalised for every student, but even also for every time that the course is
started (also called run or instance), so that the student can take a different itinerary depending on his performance.
3. Content-based, where resources and activities dynamically change their actual current content, as in Adaptive and Intelli-
gent Web-Based Educational Systems based on adaptive presentation [Brusilovsky & Miller, 2001]. For instance, the in-
formation inside a learning activity can be classified in three levels of depth, and every level is shown based on a number of
factors.
The first cluster with three types of Adaptation becomes the ground for the next one. Additional kinds of Adaptation feed a
second cluster: 4) Interactive problem solving support; 5) Adaptive information filtering, 6) Adaptive user grouping; 7)
Adaptive evaluation; and 8) Changes on-the-fly.
3 Methodology of analysis
We have carried out an analysis with an experimental strategy. First, we have defined, modelled and analysed five Units
of Learning (UoLs), which are described as learning scenarios (Table 1). In these learning scenarios, we describe adaptive
learning processes and features. Further, we carried out an analysis of a real application case from the ATOS University,
where a Unit of Learning (UoL) with adaptation features modelled with IMS-LD, was implemented. All of them are avail-
able at the GRAPPLE Project website1.
ID Type of adaptation Description ID Type of adaptation Description
1 Adaptive Assessment adaptation on the learner´s 4 Adaptive Mentor- adaptation on the teacher´s deci-
performance and knowledge ing sion
2 Adaptive Authoring adaptation on the learning 5 Combination of Application case on Corporate
designer´s method adaptive types training
3 Adaptive Content adaptation on the learner´s
decision
Table 1. Learning scenarios
Last, every learning scenario is analysed and reports on shortcomings and recommendations to improve the expressive-
ness of IMS Learning Design to achieve a better adaptation process.
Our analysis is focused on the main challenges and limitations to performing adaptive learning with IMS-LD. These
mainly focus on the need for improving the flexibility and interoperability of this specification, while modelling adaptation.
4 Identification of constraints, gaps and issues to cope with
We use every learning scenario aforementioned as a base to find restrictions, drawbacks and elements to improve within
the specification. These resources show how far IMS-LD supports adaptation, when different inputs and roles are involved.
We also make links to the integration of UoLs, when needed. Out of the modelling and development of those UoLs we per-
form an analysis on which features, elements and components are missing or could be modified in order to achieve a more
adaptive- and expressive-oriented general definition, with the ultimate aim of improving the specification and bringing it
closer to actual needs on eLearning.
In this section, we provide a detailed analysis of what IMS-LD can and cannot model, with the current information
model, with regards to adaptation. This analysis concentrates on the weak points and main features of every learning sce-
nario. These remarks will be addressed to produce a set of recommendations (i.e. extensions and modifications) to improve
the pedagogical expressiveness on IMS-LD, focused on adaptation and interoperability, in the next section [Burgos, 2010].
Following, we summarize our main findings. With regards to the specification itself:
1. The definition of properties and the link through several working XML files is too complicated to become useful
2. The relation between layers and actions is not straightforward and it has to be done interlacing files, through global
elements and XML
3. The lack of a richer conditional structure makes the editing of the set of rules more complicated on paper than they ac-
tually are from a rational point of view
4. Controlled iterations in the activities are not allowed. Furthermore, a closed activity cannot be re-initialized and/or go
backwards
5. The monitoring service doesn´t cover any kind of user grouping. Therefore, a user (e.g. either a teacher or a learner)
cannot follow the performance of several other users at the same time
6. Questions and answers are not personalised for user; they are identical for all users with the same role
7. The communication between teacher and student is little and indirect. They can view the values of properties but there
is no other communication service between them
8. There is a lack of flexibility in the input point of changing the itineraries. In the type Sequence, the learning activity
with the question appears always at the same place. In the type Selection, the question is always presented after 2 completed
learning activities. In case the learning designer/teacher wants to shift this input point, they cannot do so
1
www.grapple-project.org
3. 9. There is no possibility to handle absolute time to start the course and/or a specific activity. Only relative time to the
precise time when the instance is created out of the UoL, it is possible
10. There is no chance to make a connection to an already existing database (for instance, to make a query or to import al-
ready enrolled students or teachers). The data type of connection is not supported. Therefore, every enrolment has to be
done by hand or running a specific tool for that
11. Furthermore, any connection with the external world is impossible. For instance, a real-time effective communica-
tion between an LMS and an IMS-LD UoL is not possible so far, so that in fact they cannot benefit each other from mutual
services and resources. There is no foreseen dispatcher or service in the specification allowing such connection [Moreno et
al., 2007]
12. When an executable module is developed with other technologies (Macromedia Flash and PHP, for instance), it can-
not be integrated with IMS-LD in any way. Therefore, we also identified an interoperability problem. Although IMS-LD is
not developed with the intention of supporting such interactivity with users, it could allow for a valid integration with exter-
nal resources using a layer of communication/dispatcher.
13. A file uploaded from the hard disk of a computer is stored in a file-type property inside the internal database of the
engine (CopperCore, in this case). There is no possibility to change the default configuration for storing or retrieving re-
sources. There is no facility to manage those uploads either. Although this is an issue concerning tools too, the core docu-
ments of IMS-LD do not provide this information and/or service either
14. IMS-LD does not allow saving information into external files or retrieving information from any external source
15. To perform a dynamic user selection in order to create groups is not possible. The teacher can monitor each user,
and provide him/her with some feedback on a personal basis. We could set-up a property to be dealt by groups, but these
groups should be established before the actual start. However, if the teacher wants to make a dynamic creation of a group of
students depending on their answers, this is not possible so far. To this extent, groups and roles are the same thing
16. IMS-LD does not allow for recording the user’s behaviour; in fact, no measures (i.e., Total Time Needed, Time Be-
fore First Move) can be restored or retrieved
17. As a consequence, adaptation based on the user´s behaviour cannot be developed using the IMS-LD specification.
Furthermore, the current state of tooling does not support it either
In addition, with regards to the current engines, we highlight a few issues that would support a more powerful use of the
specification:
18. Changes on-the-fly are not possible. In case that the teacher or the learning designer wants to change i.e. the ques-
tions, the answers, or the content of the next activity to be carried out, they find that. Every single resource has to be packed
in design and publishing time before the actual running of the instance
19. In questionnaires and other forms with fields, the teacher/learning designer cannot modify the number of questions or
answers, once the UoL has started
20. There is no option to run the UoL (the whole UoL or a part, such a Learning Activity) twice within the same in-
stance. Once a Learning Activity is closed, the user can read it again but the associated learning flow cannot be executed.
For instance, after the question to change the itinerary is made in the historic-route, there is no way to go back
21. There is no flexibility to change the content. When the teacher/learning designer wants to keep the same method and
the same structure, but he/she wants to change one single HTML page with some content, the UoL has to be validated and
published again. In this case, the learner and the teacher would have to be enrolled and the learning process starts from the
very beginning
22. Users cannot be dynamically enrolled within the UoL, once it has started, and they have to be managed by an external
tool
5 Further analysis
In the next section we show specific recommendations which deal with extensions, modifications of modelling structures,
elements and components, as well as with the architecture of IMS-LD. Those recommendations are based on the constraints
pointed out in the previous Section. However, there is a need for presenting some further analysis, which can bridge both
sections, from the constraints to the recommendations, since this in-between step is crucial to understand the rationale. Out
of this analysis, we conclude that specific recommendations should be categorized in three groups:
a) Modelling and Adaptation, that compiles every single extension, modification or addition, general or specific, to the
specification and the information model; and b) Architecture, that deals with functional requirements of the spec, with a
focus on the interoperability, communication and integration of IMS-LD with other external means. In both cases, we look
for the highest performance along with the minimal structural change. Furthermore, we respect the original specification as
much as possible and try to make as few changes as possible; on the other side, they all are needed to build the suggested
solution, and cope with the overall approach. In addition, c) we reflect some recommendations about the authoring tools.
Although they are not responsibility of the specification, they are indeed related to IMS-LD, since the tools which allow the
end users to create useful and applicable Units of Learning, can make the process easier or more difficult, and therefore it
constraint the actual use and outcomes.
Furthermore, we depict our conclusions within the same two main blocks that we have used to carry out the analysis:
modelling (with a special focus on adaptation) and integration. Out of our solution, we also provide a brief note about au-
thoring tools.
5.1 Modelling and Adaptation
With regards to general modelling, and modelling focused on adaptive learning we conclude that IMS-LD shows a meta-
phor difficult to understand. It is not as much to say that people do not understand what a theatre is or how a play is per-
4. formed. The key issue comes when a teacher needs to translate this well-know structure into specific pedagogical resources
and features. This translation process turns not to be so obvious. The conceptual model is clear: play, acts, roles, role-parts,
and so on. But all of them, interlaced in a whole structure of learning, become complex. Even the simplest scenario requires
some knowledge of the specification in a technical way. And this is far from being user-friendly, moreover when the usual
target people consists of non-technical profiles.
The notation itself follows a usual XML Schema and the definition of the several elements and components of the spec
can turn too complex, even for skilled programmers. The description of activities, activity structures, environments, and
etcetera, and the long cascade of relationships amongst them, makes a difficult-to-trace chain out of a simple scenario. Not
to mention when several roles are involved, when some components of Level B are used or when adaptive processes are
required. The programming structure is quite easy, but the combination of elements, components and metaphor, makes it
hard difficult to implement.
The programming components provided by IMS-LD are quite simple (i.e., simple condition, based arithmetic, visualiza-
tion of variables, visibility, DIV layers, and etcetera). On the other side, their syntax is long, which hinders the rationale of
the modelling process itself.
5.2 Communication, interoperability, integration of Units of Learning
We study three ways of communication: 1) simple link between parts, 2) embedded information packages with no infor-
mation exchange, and 3) full communication of information packages, sharing variables and states. This third solution be-
comes the most effective one. It implies the development of a communication layer that deals with effective bi-directional
exchange of data between information packages. Furthermore, this solution allows for the communication and sharing of
services, along with variables, values and states, between IMS-LD and any outside counterpart, i.e., other specifications
(e.g. SCORM), languages (i.e. PHP, Java, and Action Script), and LMSs (i.e. LAMS2, Moodle3, .LRN4).
Should this exchange actually happens, it will encourage the re-use of information packages in different contexts, and the
development of templates, fostering the re-purpose of Units of Learning within and amongst the several communities of
practice (target groups) involved in IMS-LD, beyond the very only technical niche.
In the same line, exportation and importation of Units of Learning is not developed so far; neither does any connection
with a database. Once more, no information exchange with other entities is possible so far.
The current two-step working process that makes two isolated parts out of design-time and run-time, makes IMS-LD to
be compiled and not interpreted. This distinction stops an on-the-fly visualisation and modification of the learning design,
which would improve the interactive personalisation of the learning process. This issue deals with how IMS-LD is inter-
preted by tools and engines developers and not with how the specification is actually designed.
5.3 Authoring tools
As aforementioned, this research and paper are focused on the specification itself and it does not deal with tools. How-
ever, authoring tools largely influence what can be modelled and how. Therefore, we point out a couple of key issues that
could support the actual adoption of IMS-LD by the target groups:
a) There is a need for high-level visual authoring tools. Nowadays there are two types of tools: effective but too technical,
even for technical profiles; and simple to understand but not powerful, since they usually deal with the very basic Level A.
The creation of UoLs should be as far as possible from technical requirements or the underlying elements, components or
structure. A more visual approach would encourage the understanding and use of IMS-LD in a broader sense by target
groups. Technical low-level editors should live along with the visual high-level ones, though
b) Any authoring tool should allow for an integrated modelling, working with the manifest, the resources and the required
external XHTML files with a common interface. It should dependencies and ease setting of properties. This is a hot chal-
lenge, not possible so far.
6 Conclusions and further work
This paper shows the background about IMS Learning Design and how to model adaptive learning with this specification.
In addition, we provide a thorough analysis of a number of learning scenarios and a detailed list of issues to be modified and
improved in the specification to better express adaptation. Based on these outcomes we provide recommendations, modifi-
cations and extensions to IMS Learning Design in order to improve its expressiveness of adaptive learning.
Furthermore, IMS-LD will benefit from a re-structure and modification of several elements focused on modelling and ar-
chitecture. It will also improve the overall pedagogical expressiveness, along with specific features on adaptation of learning
processes and integration with other specifications, LMSs, and learning resources. These are two main objectives of the
specification: personalised learning and interoperability. At the same time, IMS-LD would increase its level of implementa-
tion in real settings and a wider support from Communities of Practice of end users if one or several high-level visual au-
thoring tools are developed. Nevertheless, this issue is out of the scope of this research, and it deals with research groups
and companies working on the adoption of IMS-LD.
2
www.lamsfoundation.org
3
http://moodle.org
4
www.dotlrn.org
5. Acknowledgments
The research presented in this paper has been partially supported by the following projects: FLEXO (Spanish Plan
Avanza, www.ines.org.es/flexo, TSI-020301-2009-9), and GRAPPLE (FP7-ICT-2007-1, www.grapple-project.org, contract
number 215434).
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