personalized/customized learning

What if we could apply this same concept towards learning?

On 10/18/2010, in analytics, learner profiles, learning agents, learning ecosystem, personalized/customized learning, by Daniel Christian

About IQNOMY

IQNOMY is an S.a.a.S. (Software as a Service) solution which enables any website to adapt itself to each individual visitor in next to no time.

As a result of the emergence of new media, the distance between institutions and individuals is getting ever smaller. Individuals have gained more and more power and are increasingly using this to demand personal attention and recognition. For companies and organizations, the difficulties associated with holding on to today’s critical consumer are therefore growing.

For a long time now, simply supplying information has not been enough. Customers and consumers are looking for an experience that is presented at the right moment and within the right context. We call this Real-time Interaction Marketing. Central to this discipline is the fact that you as an organization are able to get to know and understand your customers and that you actively learn to support them in discovering new and relevant information. This form of personal and direct one-to-one marketing will play an increasingly important role in commercial markets in the future.

Tagged with: 1:1 • analytics • customized learning • learner profiles • Learning Agents • learning ecosystem • personalized learning

Some reflections re: web/cloud-based learner profiles

On 10/16/2010, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, assessment, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, competency-based learning/education, Daniel S. Christian, data related items, digital learning, education technology, elearning, emerging technologies, human-computer interaction (HCI), innovation, instructional design, intelligent tutoring, internet, K-12 related, learning agents, learning ecosystem, learning preferences, lifelong learning, mobile learning, multimedia, online learning, online media, online tutoring, personalized/customized learning, training / L&D, ubiquitous learning, universities, workplace, by Daniel Christian

Reflections on web-based learner profiles -- by Daniel S. Christian

Tagged with: 1:1 • 21st century • 24x7x365 • AI • assessment • Blackboard • cloud-based computing / apps / other cloud-related • CMS/LMS • colleges • community college • competency-based learning/education • corporate training / universities • customized learning • Daniel S. Christian • data mining • digital learning • e-learning • educational technology • emerging technologies • evaluation • HCI • innovation • instructional design • intelligent tutoring • internet • K-12 • Learning Agents • learning ecosystem • learning preferences • Lifelong learning • Mobile learning • Moodle • personalized learning • scaffolding • training • ubiquitous learning • universities

Traditional instructional methods versus intelligent tutoring systems

On 10/16/2010, in intelligent tutoring, personalized/customized learning, traditional / tradition, by Daniel Christian

Traditional instructional methods versus intelligent tutoring systems — from4u-all.com

From DSC:
I’m not crazy about the VS. part here…this post isn’t mean to stir competitive juices or put some folks out there on the defensive. Rather, I thought it had some interesting, understandable things to say about intelligent tutoring systems and what benefits they might provide.

A potential solution to this problem is the use of novel software known as “Intelligent Tutoring Systems” (ITS), with built-in artificial intelligence. These systems, which adapt themselves to the current knowledge stage of the learner and support different learning strategies on an individual basis, could be integrated with the Web for effective training and tutoring.

Intelligent tutoring systems (ITSs) are software programs that give support to the learning activity. These systems can be used in the conventional educational process, distant learning courses as well corporate training, either under the form of CDROMs or as applications that deliver knowledge over the Internet. They present new ways for education, which can change the role of the human tutor or teacher, and enhance it.

They present educational materials in a flexible and personalized way that is similar to one-to-one tutoring. In particular, ITSs have the ability to provide learners with tailored instructions and feedback. The basic underlying idea of ITSs is to realise that each student is unique.

They use simulations and other highly interactive learning environments that require people to apply their knowledge and skills. These active, situated learning environments help them retain and apply knowledge and skills more effectively in operational settings.

An intelligent tutoring system personalizes the instruction based on the background and the progress of each individual student. In this way, the learner is able to receive immediate feedback on his performance. Today, prototype and operational ITS systems provide practice-based instruction to support corporate training, high school and college education, military training etc.

The goal of intelligent tutoring systems is to provide the benefits of one-on-one instruction automatically and cost effectively. Intelligent tutoring systems enable participants to practice their skills by carrying out tasks within highly interactive learning environments…

Tagged with: 1:1 • AI • customized learning • intelligent tutoring • personalized learning • traditional

Like Netflix, new college software seeks to personalize recommendations

On 10/14/2010, in education technology, learner profiles, learning agents, personalized/customized learning, by Daniel Christian

Like Netflix, new college software seeks to personalize recommendations — from InsideHigherEd.com by Marc Parry

Anaheim, Calif. —Amazon. Netflix. Google. All personalize recommendations based on what they know about users.

A new project, unveiled at the Educause conference here today, plans to provide college students a similar experience on academic Web sites.

It’s called Sherpa, like the guides who lead climbers up Mount Everest. The goal of the software, developed by the South Orange County Community College District, is to mine data about students to guide them to courses, information, and services.

That’s a change from what students experience starting and finishing classes on the Blackboard course-management system, said Robert S. Bramucci, South Orange’s vice chancellor for technology and learning services.

Tagged with: customized learning • educational technology • learner profiles • Learning Agents • personalized learning

McGraw-Hill Education introduces next-generation custom publishing platform: Create

On 10/09/2010, in faculty/staff, personalized/customized learning, publishing, teachers, teaching & learning, by Daniel Christian

McGraw-Hill Education introduces next-generation custom publishing platform: Create Platform — from Textbook Industry Newswire

From DSC:
Congrats to McGraw-Hill for this innovation! Now let’s team this type of thing up w/ the Chalkboard of the Future!

Create Platform enables professors to design custom classroom content from library of nearly 50,000 sources and receive e-books within hours

NEW YORK, Oct. 8 /PRNewswire/ — McGraw-Hill Education has brought custom publishing into the 21st century with McGraw-Hill Create (www.mcgrawhillcreate.com), an innovative platform that gives instructors unprecedented control over and customization of higher education classroom content. Gone are the days when professors had no choice in how to assemble content for classroom instruction, or had to wait weeks to receive a customized text. With Create, instructors can produce their own e-books or printed texts by selecting content from a vast library of resources – and receive a digital proof in under an hour.

“McGraw-Hill’s Create custom publishing tool gives me the power to provide only the content that is relevant to how I teach,” said Cliff Thompson, director of Theatre at Freed-Hardeman University. “I can pick and choose what makes the most sense for me and my class, which allows me to be a more effective teacher and cost-conscious for my students.”

Tagged with: customized learning • faculty-staff • new publishing models • teachers • teaching & learning

References from “Developing Adaptive and Personalized Distributed Learning Systems…”

On 09/14/2010, in Artificial Intelligence/Agents/LLMs/and Related, learning agents, personalized/customized learning, by Daniel Christian

From DSC:
Though I can’t re-publish this article (it costs $19), I do hope it’s ok that I share the abstract and the references of the article (if not Birol or Mustafa, please advise). They are definitely onto something here, and we all need to continue to keep our eyes on such keywords as:

learning agents
multi agent systems
1:1
personalized/customized learning
artificial intelligence (AI)
the semantic web
…as these items represent where technology can be powerfully leveraged in the future.

Developing Adaptive and Personalized Distributed Learning Systems with Semantic Web Supported Multi Agent Technology

Birol Ciloglugil
Dept. of Comp. Engineering
Ege UniversityIzmir, Turkey

Mustafa Murat Inceoglu
Dept. of Comp. Education and Instructional Technology
Ege University
Izmir, Turkey

Abstract—The early e-learning systems were developed with the one-size-fits-all approach where the differences among the learners were disregarded and the same learning materials were supplied to each user. Nowadays, with the technological advances and the new trends in system design, the newly-developed systems take into consideration the needs, the preferences and the learning styles of the learners. As a result of this, more personalized e-learning systems have been developed. This thesis will investigate how possible technologies such as multi-agent systems and semantic web can be used to achieve more adaptive and more personalized distributed e-learning environments.

Keywords-adaptive systems; e-learning, multi agent systems; personalized e-learning systems; semantic web

REFERENCES

[1] H. Wang, P. Holt, “The design of an integrated course delivery system for Web-based distance education”, Proceedings of the IASTED International Conference on Computers and Advanced Technology in Education (CATE 2002), 2002, pp. 122-126.

[2] F. O. Lin, Designing Distributed Learning Environments with Intelligent Software Agents, Information Science Publishing, 2004.

[3] B. Ciloglugil, M. M. Inceoglu, “Exploring the state of the art in adaptive distributed learning environments”, LNCS, vol. 6017, 2010, pp. 556-569.

[4] I. S. B. Gago, V. M. B. Werneck, R. M. Costa, “Modeling an Educational Multi-Agent System in MaSE”, LNCS, vol. 5820, 2009, pp. 335-346.

[5] S. Garruzzo, D. Rosaci, G. M. L. Sarne, “ISABEL: A multi agent elearning system that supports multiple devices”, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007, pp.85-88.

[6] T. Berners-Lee, J. Hendler, O. Lassila, The semantic web, Scientific American, 2001, pp. 34-43.

[7] A. Gladun, J. Rogushina, F. Garc?a-Sanchez, R. Martínez-Béjar, J. T. Fernández-Breis, “An application of intelligent techniques and semantic web technologies in e-learning environments”, Expert Syst. Appl., vol. 36, 2, 2009, pp. 1922-1931.

[8] M. Gaeta, F. Orciuoli, P. Ritrovato, “Advanced ontology management system for personalised e-learning”, Know.-Based Syst., vol. 22, 4, 2009, pp. 292-301.

[9] B. G. Aslan, M. M. Inceoglu, “Machine learning based learner modeling for adaptive Web-based learning”, LNCS, vol. 4705, 2007, pp. 1133-1145.

[10] W. S. Lo, I. C. Chung, H. J. Hsu, “Using ontological engineering for computer education on online e-Learning community system”, International Conference on Education Technology and Computer, Singapore, 2009, pp. 167-170.

[11] L. Romero, H. P. Leone, “An ontology on learning assessment domain”, New Perspectives on Systems and Information Technology, vol. 2, 2007, pp. 137-148.

[12] A. Canales-Cruz, V. G. Sanchez-Arias, F. Cervantes-Perez, R. Peredo-Valderrama, “Multi-agent system for the making of intelligence and interactive decisions within the learner’s learning process in a web-based education environment”, Journal of Applied Research and Technology, vol. 7, 3, 2009, pp. 310-322.

Tagged with: 1:1 • AI • customized learning • Learning Agents • personalized learning • semantic web

Post textbook world

On 09/13/2010, in digital learning, library / librarians, personalized/customized learning, textbooks, by Daniel Christian

Post textbook world — from HuffingtonPost.com by Tom Vander Ark

Most of the digital courseware being used is decidedly first generation–it’s flat and sequential, not engaging and adaptive. But we’re beginning to see adaptive content libraries that enable personalized digital learning. There will still be a role for curation but that will come in the form of content collections, learning games and virtual worlds, and playlists that (like iTunes Genius but smarter) that stitch objects and sequences together.

Because learning object libraries will replace textbooks, eReaders won’t be big in education. They only make sense where there is a tight narrative. Tablets that can support a full web experience and are also a useful input device will compete with netbooks for 1:1 supremacy.

Digital native kids and teachers expect a more social experience than ‘log in, follow directions, and email me if you have a problem.’ The shift from digital textbook to content libraries requires more flexibility than current learning management systems offers and will kick off more data than anyone is ready to handle.

Tagged with: 1:1 • digital learning • learning objects • library / librarians • personalized learning • textbooks

The Wild World of Massively Open Online Courses

On 09/02/2010, in Canada, disruption, higher education, innovation, personalized/customized learning, by Daniel Christian

The Wild World of Massively Open Online Courses — from unlimitedmagazine.com by Emily Senger
Would you participate in a class with 2300 other online students?

In a traditional university setting, a student pays to register for a course. The student shows up. A professor hands out an outline, assigns readings, stands at the front and lectures. Students take notes and ask questions. Then there is a test or an essay.

But with advancing online tools innovative educators are examining new ways to break out of this one-to-many model of education, through a concept called massively open online courses. The idea is to use open-source learning tools to make courses transparent and open to all, harnessing the knowledge of anyone who is interested in a topic.

George Siemens, along with colleague Stephen Downes, tried out the open course concept in fall 2008 through the University of Manitoba in a course called Connectivism and Connective Knowledge, or CCK08 for short. The course would allow 25 students to register, pay and receive credit for the course. All of the course content, including discussion boards, course readings, podcasts and any other teaching materials, was open to anyone who had an internet connection and created a user profile.

“The course was the platform, but anyone could build on that platform however they wanted,” says Siemens. “There’s this notion that technology is networked and social. It does alter the power relationship between the educator and the learner, a learner has more autonomy, they have more control. The expectation that you wait on the teacher to create everything for you and to tell you what to do is false.”

More here…

Also see:

Wendy Drexler’s final project for Connectivism and Connective Knowledge

http://www.youtube.com/watch?v=XwM4ieFOotA

Tagged with: Canada • Connectivism • customized learning • disruption • innovation • online learning • personal learning networks (PLNs) • personalized learning

Mapping major changes to education and training in 2025 (Europe)

On 09/02/2010, in education technology, Europe, future, future of higher education, global / globalization, informal learning, learning ecosystem, lifelong learning, open courseware and systems, personalized/customized learning, tools, training / L&D, trends, by Daniel Christian

Tagged with: 1:1 • educational technology • Europe • future • Global learning • higher education • informal learning • learning ecosystem • Lifelong learning • open • personalized learning • training • trends

Ten tips for personalized learning via technology (K-12)

On 08/30/2010, in education technology, personalized/customized learning, by Daniel Christian

Ten tips for personalized learning via technology — from Edutopia.org by Grace Rubenstein
To challenge and support each child at his or her own level, the educators of Forest Lake Elementary deploy a powerful array of digital-technology tools. Discover what your school can learn.

From DSC:
Their first tip got my attention and I agree wholeheartedly; the following graphic relays my viewpoint/hope here:

Tagged with: 1:1 • customized learning • educational technology • K-12 • personalized learning

Advanced personal learning — from Engineering’s Grand Challenges

On 08/23/2010, in change, disruption, education technology, engineering, intelligent tutoring, learning ecosystem, learning preferences, learning theories, personalized/customized learning, by Daniel Christian

Tagged with: 1:1 • change • cognitive psychology / computing • customized learning • disruption • educational technology • engineering • intelligent tutoring • learning ecosystem • learning preferences • learning theories • personalized learning

Accessibility: A Guide for Educators — from Microsoft

On 08/23/2010, in accessibility / UDL, education technology, Microsoft, personalized/customized learning, teachers, tools, by Daniel Christian

— resource from Luca Lorenzini’s blog

Tagged with: accessibility • educational technology • Microsoft • personalized learning • teachers • tools

9 ways to customize learning experiences – from Faculty Focus

On 08/16/2010, in pedagogy, personalized/customized learning, teaching & learning, by Daniel Christian

9 ways to customize learning experiences – from Faculty Focus

Tagged with: andragogy • customized learning • pedagogy • personalized learning • teaching & learning

Innovate to Educate: [Re]Design for Personalize Learning

On 08/11/2010, in expectations, innovation, leadership, mobile learning, mobile technologies, personalized/customized learning, strategy, by Daniel Christian

Innovate to Educate: [Re]Design for Personalize Learning — from mobl21.com/blog

The Symposium on [Re]Design for Personalized Learning has begun.

An initiative of the SIIA (Software & Information Industry Association) with ASCD (formerly the Association for Supervision and Curriculum Development) and the Council of Chief State School Officers (CCSSO), this collaborative effort asserts that the education system can more efficiently and effectively meet the needs of all students through a true paradigm shift from a mass production to a mass customization learning system.

An excerpt from the SIIA-ASCD-CCSSO Symposium Primer:
Some education leaders are becoming more focused on personalizing learning as critical to meeting the needs of all students. They understand that changing student outcomes requires transforming their experience and our current education system. They recognize the definition of educational insanity: offering the same type of education model over and over again, and expecting a different result. These leaders also see that educational equity is not simply about equal access and inputs, but as importantly requires that a student’s educational path, curriculum, instruction and schedule be personalized to meet her unique needs. Reform efforts that continue to focus on the factory model, one-size fits all approach to learning are unlikely to make a sufficient difference for too many students in this knowledge-age when expectations are higher than ever.

In contrast to trends in other industries to personalize products, services, and the user experience – in part by leveraging continually evolving technologies – education has only scratched the surface on the potential to personalize the learner experience. Such efforts continue to be the exception rather than the rule and often represent a “tweaking” of the traditional model rather than the necessary systemic redesign of how we educate our children. Similarly, students have come to expect personalization in every other aspect of their lives, including through services like Facebook, Netflix and iTunes, to name a few. If Google and Amazon can thoughtfully leverage customer data and virtual communities to better serve each person’s unique preferences and interests from afar, then education can do so for each student from a near — to understand each one’s performance level, learning style and learning preferences and then adjust instructional strategies and content to meet those needs.

Read the full primer here: http://www.siia.net/pli/primer.doc

From DSC:
Eventually, we will have to deal with some major changing student expectations. Perhaps that’s this year..? Next year? 5 years down the line…? I’m not sure. But with the storm brewing, we don’t want to discount changing student expectations. We need to adapt and deliver and meet changing expectations.

Tagged with: customized learning • innovation • leadership • Mobile learning • mobile technology • personalized learning • strategy • student expectations

Personalized Learning: Object, Lesson, Course & School

On 08/04/2010, in personalized/customized learning, by Daniel Christian

Personalized Learning: Object, Lesson, Course & School — from EdReformer.com by Tom Vander Ark

There’s lots of talk about personalized learning these days. It shows up in a lot of school plans, i3 grants, and individual development plans. Wikipedia even has a definition: “Personalized Learning is the tailoring of pedagogy, curriculum and learning support to meet the needs and aspirations of individual learners.”

That’s a good start, but I’d like to add a couple layers to the definition. Educators often talk about personalization at the lessons level where “accommodations” are made for reading level and English language learners. Projects have long been a great way to differentiate and leverage student interest.

In a digital learning environment, personalization at the lesson level can be a choice between small group instruction, online tutoring, a simulation or a learning game. School of One is a good example of targeting lessons by level, interest, and modality.

Tagged with: customized learning • personalized learning

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