Around the world, in both developing and developed countries, too many primary and secondary students are falling below proficiency levels. Measuring and monitoring performance and understanding the factors at play in student achievement can help educators create the right conditions and design the most effective interventions for student success.
Educational Intelligence and the Student Lifecycle – Leveraging Predictive Analytics for Profit in Higher Education
This presentation will begin on Wednesday, August 12, 2015 at 02:00 PM Eastern Daylight Time.
Wednesday, August 12, 2015 02:00 PM EDT
This webinar will provide an overview of the student lifecycle – from lead generation to job placement. You will learn what the components are and how student data can be leveraged for competitive gain through the use of predictive analytics tools. While these technologies have been in use by other industries for many years, especially in the area of assessing consumer demand, higher education is a relatively late adopter. As an example of benefit, colleges and universities can deploy them to determine which students are most at risk for attrition and – armed with deep, historical data – craft segment-specific retention strategies designed to compel them to persist toward degree completion. During this session, Eduventures analysts will provide concrete examples of how predictive analytics has been used within the student lifecycle at a variety of institutions, citing interviews with practitioners, that led to measurable performance improvements. To conclude, we will uncover the benefits of sharing data amongst key stakeholders to the ultimate gain of the institution and its constituents.
Audience members may arrive 15 minutes in advance of this time.
Twitter ads and Twitonomy are helpful and cost-effective. Find time to go through these reports to see what works for you and your competition. The improvement in results from your Twitter marketing will be worth it.
Once you get comfortable with this kind of data review, check back every week, month or quarter to make sure that you are still hitting the optimal mark. The social media world moves fast, and analytics will help you keep pace with the changes.
Very short video of Bryan Alexander, senior fellow at the National Institute for Technology in Liberal Education, discussing the issues and opportunities facing mobile technology, badges, flipped classrooms, and learning analytics:
Faced with increasingly complex communication technologies—voice, video, multimedia, animation—university faculty, expert in their own disciplines, find themselves technically perplexed, largely unprepared to build digital courses.
instructional designers, long employed by industry, joined online academic teams, working closely with faculty to upload and integrate interactive and engaging content.
nstructional designers, as part of their skillset, turned to digital authoring systems, software introduced to stimulate engagement, encouraging virtual students to interface actively with digital materials, often by tapping at a keyboard or touching the screen as in a video game. Most authoring software also integrates assessment tools, testing learning outcomes.
With authoring software, instructional designers can steer online students through a mixtape of digital content—videos, graphs, weblinks, PDFs, drag-and-drop activities, PowerPoint slides, quizzes, survey tools and so on. Some of the systems also offer video editing, recording and screen downloading options
As with a pinwheel set in motion, insights from many disciplines—artificial intelligence, cognitive science, linguistics, educational psychology and data analytics—have come together to form a relatively new field known as learning science, propelling advances in a new personalized practice—adaptive learning.
Of the top providers, Coursera, the Wall Street-financed company that grew out of the Stanford breakthrough, is the champion with 37 million learners, followed by edX, an MIT-Harvard joint venture, with 18 million. Launched in 2013, XuetangX, the Chinese platform in third place, claims 18 million.
Former Yale President Rick Levin, who served as Coursera’s CEO for a few years, speaking by phone last week, was optimistic about the role MOOCs will play in the digital economy. “The biggest surprise,” Levin argued, “is how strongly MOOCs have been accepted in the corporate world to up-skill employees, especially as the workforce is being transformed by job displacement. It’s the right time for MOOCs to play a major role.”
In virtual education, pedagogy, not technology, drives the metamorphosis from absence to presence, illusion into reality. Skilled online instruction that introduces peer-to-peer learning, virtual teamwork and other pedagogical innovations stimulate active learning. Online learning is not just another edtech product, but an innovative teaching practice. It’s a mistake to think of digital education merely as a device you switch on and off like a garage door.
Learning innovation, as conceptualized as an interdisciplinary field, attempts to claim a space at the intersection of design, technology, learning science and analytics — all in the unique context of higher education.
A professional community of practice differs from that of an interdisciplinary academic network. Professional communities of practice are connected through shared professional goals. Where best practices and shared experiences form the basis of membership in professional associations, academic networks are situated within marketplaces for ideas. Academic networks run on the generation of new ideas and scholarly exchange. These two network models are different.
Technology is a branch of moral philosophy, not of science
The process of making technology is design
Design is a branch of moral philosophy, not of a science
System design reflects the designer’s values and the cultural content
Byzantine history professor Bulgarian – all that is 200 years old is politics, not history
Access, privacy, equity, values for the prof organization ARLD.
This is how bad design makes it out into the world, not due to mailcioius intent, but whith nbo intent at all
Our expertise, our service ethic, and our values remain our greatest strengths. But for us to have the impat we seek into the lives of our users, we must encode our services and our values in to the software
Design interprets the world to crate useful objects. Ethical design closes the loop, imaging how those object will affect the world.
A good science fiction story should be able to predict not the automobile, ut the traffics jam. Frederic Pohl
Victor Papanek The designer’s social and moral judgement must be brought into play long before she begins to design.
We need to fear the consequences of our work more than we love the cleverness of our ideas Mike Monteiro
Qual and quan data – lirarainas love data, usage, ILL, course reserves, data – QQLM.
IDEO – the goal of design research isn’t to collect data, I tis to synthesize information and provide insight and guidance that leads to action.
Google Analytics: the trade off. besides privacy concners. sometimes data and analytics is the only thing we can see.
Frank CHimero – remove a person;s humanity and she is just a curiosity, a pinpoint on a map, a line in a list, an entry in a dbase. a person turns into a granular but of information.
by designing for yourself or your team, you are potentially building discrimination right into your product Erica Hall.
what is relevance. the relevance of the ranking algorithm. for whom (what patron). crummy searches.
reckless associsations – made by humans or computers – can do very real harm especially when they appear in supposedly neutral environments.
Donna Lanclos and Andrew Asher Ethonography should be core to the business of the library.
technology as information ecology. co-evolve. prepare to start asking questions to see the effect of our design choices.
ethnography of library: touch point tours – a student to give a tour to the librarians or draw a map of the library , give a sense what spaces they use, what is important. ethnographish
Q from the audience: if instructors warn against Google and Wikipedia and steer students to library and dbases, how do you now warn about the perils of the dbases bias? A: put fires down, and systematically, try to build into existing initiatives: bi-annual magazine, as many places as can