E-Learning, Instructional Design, and Online Teaching
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E-Learning, Instructional Design, and Online Teaching
Graduate Certificates, Online Courses, ELearning, Instructional Design, Online Learning  @ UW-Stout
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Bill Gates: Why I want to stop talking about the “developing” world

Bill Gates: Why I want to stop talking about the “developing” world | E-Learning, Instructional Design, and Online Teaching | Scoop.it
My late friend Hans Rosling called the labels “outdated” and “meaningless.” Any categorization that lumps together China and the Democratic Republic of Congo is too broad to be useful. But I’ve continued to use “developed” and “developing” in public (and on this blog) because there wasn’t a more accurate, easily understandable alternative—until now.
Dennis T OConnor's insight:

Gates speaks of Hans Rosling's new book Factfulness: Ten Reasons We're Wrong About the World—and Why Things Are Better Than You Think.  

 

I am saddened by the news that Han's Rosling died earlier this year. His fact based world view (brilliantly support by data visualizations) is one of the reasons I count myself a serial optimist.  This is a book that will shake you free of preconceptions and help you see the world in a new (and very hope filled) light. 

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European Journal of Open, Distance and E-Learning: Predicting Student Dropouts with Data Mining Methods

European Journal of Open, Distance and E-Learning: Predicting Student Dropouts with Data Mining Methods | E-Learning, Instructional Design, and Online Teaching | Scoop.it

Abstract

This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies Self-Efficacy Scale, Readiness for Online Learning Questionnaire, Locus of Control Scale, and Prior Knowledge Questionnaire). The collected data included 10 variables, which were gender, age, educational level, previous online experience, occupation, self efficacy, readiness, prior knowledge, locus of control, and the dropout status as the class label (dropout/not). In order to classify dropout students, four data mining approaches were applied based on k-Nearest Neighbour (k-NN), Decision Tree (DT), Naive Bayes (NB) and Neural Network (NN). These methods were trained and tested using 10-fold cross validation. The detection sensitivities of 3-NN, DT, NN and NB classifiers were 87%, 79.7%, 76.8% and 73.9% respectively. Also, using Genetic Algorithm (GA) based feature selection method, online technologies self-efficacy, online learning readiness, and previous online experience were found as the most important factors in predicting the dropouts.

Keywords: Educational data mining, student dropout prediction, k-nearest neighbour, decision tree, Naive Bayes, neural network.

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Manuel E. Prieto's curator insight, September 15, 2014 1:23 PM

Articulo interesante sobre Data Mining aplicada a la Educación.

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Predictive Analytics Reporting (PAR) Framework | wcet.wiche.edu

Predictive Analytics Reporting (PAR) Framework | wcet.wiche.edu | E-Learning, Instructional Design, and Online Teaching | Scoop.it

The Predictive Analytics Reporting (PAR) Framework is a multi-institutional data mining project that brings together 2 year, 4 year, public, proprietary, traditional, and progressive institutions to collaborate on identifying points of student loss and to find effective practices that improve student retention in U.S. higher education. Current efforts focus on removing barriers to student success in online and blended programs. With sixteen WCET member institutions, over 1,700,000 anonymized student records and 8,100,000 institutionally de-identified course level records, the PAR Framework offers educational stakeholders a unique multi-instituional lens for examining dimensions of student success from both unified and contextual perspectives.

Dennis T OConnor's insight:

Helping at risk students is a noble goal. Mining data that predicts which students need help based on their online behavior could really be a benefit. This project should improve student retention.  For Colleges and Universities  interested in analytics, this might be the way into meaningful collaboration. 

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New computerized assessment will represent one of the largest technological shifts in K-12 education

New computerized assessment will represent one of the largest technological shifts in K-12 education | E-Learning, Instructional Design, and Online Teaching | Scoop.it

"This is a very different type of test," said Leslie Arnold, the Clark County School District's director of research, data and assessment. Preparing for the new test "is a big task for a district our size."


Via Mel Riddile
Dennis T OConnor's insight:

Accurate and automated assessment can greatly improve instruction. This is especially true when teachers have easy access to results, and when results are considered formative information. 


It' is important to note that these are Common Core driven tests that the kids take directly on the computer.  As a long time Nevada teacher (retired), I'm always interested in what the Silver State is up to! 

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David McCandless: The beauty of data visualization | Video on TED.com

TED Talks David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections.

Via R Kay Richardson
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New MOOC Introduces You to the Wonderful World of Infographics & Data Visualization

New MOOC Introduces You to the Wonderful World of Infographics & Data Visualization | E-Learning, Instructional Design, and Online Teaching | Scoop.it
Hans Rosling, a professor of global health at Sweden’s Karolinska Institute, became something of an internet celebrity because of his knack for presenting data in extremely imaginative ways. As you'll see above, he's the master of data visualization.

Via Leonardo Ornellas
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Big Data | Common Craft

Big Data | Common Craft | E-Learning, Instructional Design, and Online Teaching | Scoop.it

What it teaches


Incredible amounts of data are produced every day, so much that we can’t use it all. Big data is a term used to describe the tools and processes that seek to make this data useful and productive. This video uses the example of traffic data to teach:

Where big data comes from and how it’s collected


Why special tools are required to use it
The three big challenges: Volume, Variability and Velocity
The potential of big data across multiple industries

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Who's Reading Your Research? Academia.edu Offers an Analytics Dashboard For Scholars

Who's Reading Your Research? Academia.edu Offers an Analytics Dashboard For Scholars | E-Learning, Instructional Design, and Online Teaching | Scoop.it

by AUDREY WATTERS on 15 AUG, 2012


Cross-posted on Inside Higher Ed


 


"Academia.edu, a social network for scholars, is unveiling a new feature today that its founder Richard Price hopes will help address part of the “credit gap” for research. Academia.edu allows users to upload and share their research papers, and the site is launching its Analytics Dashboard for Scientists today that Price says will let scholars see the “real-time impact” of their work.


 


Academic publishing has long been a black-box in terms of both who’s reading and who’s citing. Publishing in journals may be expected (required, even), but the delays in the publishing process can make it challenging to ascertain how much influence work has. “It typically takes about 3 to 5 years for citations to actually appear back in the process,” argues Price, pointing to the lengthy time between researching, writing, peer-reviewing, and publishing.


 


That’s part of the problem with services like Google Scholar that do offer citation counts, Price contends. And certainly the new feature available on Academia.edu today is more akin to Google Analytics than Google Scholar. You can see the pageviews on your papers; you can see the keywords that led people to them; you can see where those viewers come from.


 


The latter only gives details about the country of origin – enough for scholars to be able to tout the global reach of their work. It would be interesting to see more granular information – which city, which university even – but Price says there are certain privacy concerns before offering those sorts of details..."


Via Jenny Pesina
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Explaining Big Data

Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities. For more information, see http://w...


I'm optimistic about the potential of Big Data for online education. Systems that profile online students, alert instructors to both positive and negative trends and predict success or failure would be of enormous help.  This video will give you the conceptual overview you need to imagine a near future with much more sophisticated online teaching tools. ~ Dennis


Via João Greno Brogueira
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On Educational Data Mining

On Educational Data Mining | E-Learning, Instructional Design, and Online Teaching | Scoop.it

"The Department of Education released a draft report about big data and education today. It's called "Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics," a title that's unlikely to win any converts to the notion of a data-curious* view of learning. Part of what's going to get stuck in the craw is that phrase "data mining," I reckon."

Do we really understand what data mining?  This post links to an interview that may help you understand this question. It also looks at the how data mining practices might be used in education, along with learning analytics around questions such as (and all quoted from the article):

* What sequence of topics is most effective for a specific student?
* What student actions are associated with more learning?
* What student actions indicate satisfaction, engagement, learning progress, etc.?
* What will predict student success?
*When is a student falling behind and/or at risk for not completing a course?

 


Via Beth Dichter
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Khan Academy Talks Analytics, OER, and iPads -- THE Journal

Khan Academy Talks Analytics, OER, and iPads -- THE Journal | E-Learning, Instructional Design, and Online Teaching | Scoop.it

By Stephen Noonoo

Summary by SmartBrief on EdTech

 

"The online Khan Academy has amassed about 3,000 instructional videos and drawn 130 million views since its launch. In this interview, the Khan Academy's Matt Wahl discusses the company's newly released iPad application and the future of the flipped instructional model. He also talks about the way in which the academy collects data from its users and shares that data with classroom teachers"


Via Jim Lerman
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NMC Horizon Project | The New Media Consortium

NMC Horizon Project | The New Media Consortium | E-Learning, Instructional Design, and Online Teaching | Scoop.it

The NMC Horizon Project, as the centerpiece of the NMC Emerging Technologies Initiative, charts the landscape of emerging technologies for teaching, learning, research, creative inquiry, and information management. Launched in 2002, it epitomizes the mission of the NMC to help educators and thought leaders across the world build upon the innovation happening at their institutions by providing them with expert research and analysis.

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Kickboard: A Data Dashboard for Teachers

Kickboard: A Data Dashboard for Teachers | E-Learning, Instructional Design, and Online Teaching | Scoop.it

That's where Kickboard hopes to step in, making it easier for teachers to collect and analyze data from their classes -- both academic and behavioral data, in real-time not just at the end of a class period or school day. Although Kickboard can be used by individual teachers, the insights are compounded when whole schools utilize the product. As Kickboard enables the real-time capture of data (through a Web-based interface as well as via mobile devices), ideally everyone in the building will have a better sense of how a student's doing. Again, this isn't just in terms of grades, but in terms of their day -- data that can help a teacher plan accordingly.

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Columbia University, Teachers College, and Ryan Baker Launch Big Data in Education MOOC on edX ^ CCNMTL

Columbia University, Teachers College, and Ryan Baker Launch Big Data in Education MOOC on edX ^ CCNMTL | E-Learning, Instructional Design, and Online Teaching | Scoop.it
In this course, Baker discusses how and when to use key methods for educational data mining and learning analytics. Participants will learn about methods being developed by researchers in educational data mining, learning analytics, learning at scale, student modeling, and artificial intelligence in education. Baker will discuss how to use each method to answer education research questions and to drive intervention and improvement in educational software and systems.

 

Jim Lerman's insight:

Free...starts July 1


Via Jim Lerman
Dennis T OConnor's insight:

Data Analytics, adaptive AI, Education in the 21st Century.  Some squirm other dream.  Why not find out more about the near future?

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Joyce Valenza's curator insight, June 16, 2015 7:26 PM

Big data is for educators too!

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10 Specific Examples Of Emerging Educational Technologies

10 Specific Examples Of Emerging Educational Technologies | E-Learning, Instructional Design, and Online Teaching | Scoop.it
10 Specific Examples Of Emerging Educational Technologies

Via Dr. Susan Bainbridge, Minter Dial
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roberto gilli's comment, September 23, 2013 3:47 AM
12 months or less: Cloud, Mobile, Tablet, MOOC.
Nevermore Sithole's curator insight, March 29, 2017 9:47 AM
Google Image Search Tips via Educators' Technology
Nevermore Sithole's curator insight, March 30, 2017 2:27 AM
10 Specific Examples Of Emerging Educational Technologies
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When Data Flows to Teachers in Realtime - Tin Can API

When Data Flows to Teachers in Realtime - Tin Can API | E-Learning, Instructional Design, and Online Teaching | Scoop.it
The Problem Space

When students are using different learning tools, a teacher does not have a good way to get a view of how the student is doing across tools. Often, they have to login in to each tool’s reporting to find out how that student is performing in that one particular silo.


Now: Mrs. Stevens can see her iPad continually update as students work in Math Bingo and Quick Touch Math. She can also collect manually tracked activities and qualitative data along with the automated data flowing in from the math applications. When she determines Suzy has achieved the Common Core Standard for subtraction at her level, Mrs. Stevens can send that data straight to the schools InBloom warehouse. Now, even the principal can see in real time how the students are progressing towards these achievements.

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Sharon Minnoch's curator insight, March 16, 2013 2:56 PM

It would be interesting to get reaction from teachers who have used this. How are they following up? 

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Learning Analytics

Learning Analytics | E-Learning, Instructional Design, and Online Teaching | Scoop.it
There is probably no segment of activity in the education world attracting as much attention at present as that of knowledge management in terms of learning analytics. Learning analytics as defined...

Via Ana Cristina Pratas, R Kay Richardson
Dennis T OConnor's insight:

I'm still looiking for a data driven dashboard that will help me better understand the progress (and needs) of my students. 

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Penetrating the Fog: Analytics in Learning and Education

Penetrating the Fog: Analytics in Learning and Education | E-Learning, Instructional Design, and Online Teaching | Scoop.it

EDUCAUSE Review Online...


Via Ana Cristina Pratas, Jenny Pesina
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The 10 Ways Data Mining Is About To Change Education | Edudemic

The 10 Ways Data Mining Is About To Change Education | Edudemic | E-Learning, Instructional Design, and Online Teaching | Scoop.it

While the practice has its critics, many of whom believe it’s an invasion of privacy and creates a watered-down, prescriptive education system, there is no doubt that the applications and the impact of the data mining will grow in the coming decade. These are just a few of the ways that dating mining will transform higher ed in the coming years, whether students and teachers like it or not.

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What is Analytics?

We asked several higher ed professionals what analytics means to them.

Via Maria João
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IBM and Desire2Learn Take On Education Data Challenge -- THE Journal

IBM and Desire2Learn Take On Education Data Challenge -- THE Journal | E-Learning, Instructional Design, and Online Teaching | Scoop.it
IBM and Desire2Learn are teaming up to deliver a solution intended to help K-12 and higher education schools make use of the mass of data collected on students to improve the outcome of educational efforts.


Desire2Learn's LMS can deliver specific data about individual students and their work, while IBM provides the data analysis expertise and tools to cull meaning from the data.

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Grades 2.0: How Learning Analytics Are Changing The Teacher’s Role | Edudemic

Grades 2.0: How Learning Analytics Are Changing The Teacher’s Role | Edudemic | E-Learning, Instructional Design, and Online Teaching | Scoop.it

Educators, have you ever wondered if your students are really learning when you teach? Soon you’ll have to wonder no more.


That’s because learning analytics are here. They’re an emerging area of research that will be able to tell you not only how engaged and how much your students learned – but also suggest ways you can improve your lessons.

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NMC Horizon Reports | The New Media Consortium

NMC Horizon Reports | The New Media Consortium | E-Learning, Instructional Design, and Online Teaching | Scoop.it

Welcome to the NMC Publications catalog, home to all reports and papers authored by the NMC. Here, you'll find every edition and translation published in the NMC Horizon Report series, as well as a growing library of white papers and communiqués — all free to download. For your convenience, the NMC has also placed all of these publications, plus an extensive set of other resources like conference keynotes and webinar archives into the NMC iTunes U site.

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What are the really useful analytics?

What are the really useful analytics? | E-Learning, Instructional Design, and Online Teaching | Scoop.it
Following on from recent posts around learning analytics, this post is going to try and drill down a bit further on one of the useful questions around analytics identified by Shelia MacNeil’s...

...


Via Ana Cristina Pratas
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