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From DSC:
This tablet is larger, which I love! It also offers:
- Interactivity
- Multimedia
- Ability to annotate/save annotations
- Collaboration and more
Nice!
On 10/22/2010,
in 21st century, 24x7x365 access, analytics, education technology, emerging technologies, intelligent tutoring, learner profiles, learning agents, mobile learning, online tutoring,
by Daniel Christian
Emerging Interactive Ed. Tech: Classmate Assist and Wayang Outpost – Sensors, AI, and Context Awareness for Learning -and Teaching — by Lynn Marentette (emphasis below from DSC)
I’ve been following developments in intelligent tutoring systems for a while, and find it interesting to see how researchers are combining artificial intelligence, learning theory, affective computing, and sensor networks to create applications that might prove to be useful and effective.
The advantage of using intelligent tutoring applications in some cases is that it provides students with additional support and feedback the moment it is needed, something that is difficult for teachers to provide to students in large classrooms. With the increase in use of smartphones and other mobile devices such as the iPad, there is a good chance that this sort of technology will be used to support learning anywhere, anytime.
Although most intelligent tutoring systems are geared for 1-1 computing, I think there are some components that could be tweaked and then transfered to create intelligent “tutoring” systems for collaborative learning. Students like game-based learning, and what could be more fun than playing AND learning with a partner or group of peers? (I plan to revisit the research in this area in an upcoming post.)
Below I’ve highlighted two “intelligent” tutoring systems that incorporate the use of sensors in one form or another to generate information about student learning in a way that simulates what good teachers do every day. The ClassroomAssist application was developed by researchers at Intel, in collaboration with several universities. The Wayang Outpost application was developed by researchers at UMASS, and is aligned with the principles of Universal Design for Learning.
On 10/18/2010,
in analytics, learner profiles, learning agents, learning ecosystem, personalized/customized learning,
by Daniel Christian
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.
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
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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…
On 10/11/2010,
in 21st century, Artificial Intelligence/Agents/LLMs/and Related, competency-based learning/education, education technology, emerging technologies, game-changing environment, innovation, instructional design, intelligent tutoring, learner profiles, learning agents, online learning, online tutoring,
by Daniel Christian
From DSC:
I was reading a white paper from Tegrity today (see below graphics). It mentioned that the next frontier for lecture capture technologies is focused on developing more personalized learning experiences.
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— A brief aside from DSC:
Reminds me of some of the functionality found in Livescribe’s echo smartpen.
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The ability to integrate lecture capture platforms with Learning Management Systems (LMS’s) can help to automate the authentication and authorization needed to ensure learners get to review what they are allowed to review. Integration hooks provided by lecture capture and LMS vendors are viable as methods of ensuring a baseline approach to secure access. Yet most lecture capture systems do not know who the viewer is (as the LMS does the authentication and authorization); they only know that the stream is permitted to play and that students of the course are watching.
This sets the stage for the next transformation of lecture capture solutions – into platforms that can understand not just who their users are, but also what those users need to do and how their experience can be personalized and enhanced.
The coming shift will bring creation of custom learning environments that cater to the individual student by offering personal context-sensitivity, the ability to draw on the knowledge of peers and instructors, and the ability to better manage and monitor each individual learner’s behaviors and customize their experience to their individual needs. Among the major effects of this shift:
- Democratization of the content creation process as learners themselves contribute to or otherwise use lecture capture tools to learn from or teach others
- Faster learning by enabling learners to access information more quickly through bookmarks – and placing efficiencies within the platform to streamline teaching and learning
- Changing impact on educators, who can rely on lecture capture feedback loops based on features like bookmarking to enable them to adjust content and teaching styles to suit learner needs
- Use of presence and the fact that a system can know a learner to automate and make more efficient the act of finding peers or instructors for further learning interactions
- Greater ability to deliver content and offer customized features via mobile devices
This white paper focuses on the evolution of lecture capture as a tool for creating a coherent environment for learner-centered instruction, showing the possibilities for improved efficiencies and better learning outcomes.
From DSC:
The integration of a lecture capture system w/ an LMS got me to thinking…what if each person in the world had a constantly-updated, adaptive, web-based learner profile that detailed their current age, current and past places of residence, language(s), hobbies, interests, courses taken, major(s), minor(s), last grade completed, which RSS feeds they subscribe to, which sources of educational content they prefer, etc. Given permission by the student, a vendor’s tool could then query the database and look for particular fields…plugging that content into their own application for greater context and engagement.
So if a 3rd grader in India loved horses, the math problems could utilize that information to make the problems more engaging to that person.
Hmmm…along these lines, I think I’ll set up some Google alerts to include:
- Multi-agent systems
- Adaptive learning systems
- Artificial intelligence education
- Distributed e-learning systems
- Semantic web education
- Learning agents
- Intelligent tutoring
- Online tutoring
The next few years should be veeeerrrryyy interesting. Fasten your seatbelts!
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.
On 09/10/2010,
in 24x7x365 access, budgets, business side of he, changing business models, cost of getting a degree, curriculum, dangers of the status quo, Daniel S. Christian, disruption, education reform, education technology, engagement / engaging students, funding / grants, future of higher education, game-changing environment, global / globalization, higher education, leadership, learning ecosystem, mobile learning, multimedia, online learning, open courseware and systems, strategy, student-related, surviving, traditional / tradition, ubiquitous learning, United States,
by Daniel Christian
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
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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:
On 08/27/2010,
in education technology, immersion,
by Daniel Christian
