Momenta Learning

New Post has been published on https://www.elearninginmotion.com/how-to-gamify-quizzes-in-canvas-an-easy-way/

How to Gamify Quizzes in Canvas (an easy way)

While building quizzes in Canvas for a course (the professor teaching the course asked for my help) I paused for a moment to breath a little bit and take a sip of coffee, which I deserved because I had been entering both text and images nonstop for about two hours, I started thinking about those students that were supposed to take those quizzes later. As I was explained, they were supposed to take one after the other, each quiz was supposed to open and close at a specified time and date, all of them were timed. I would cry if I were one of those students. I am sure at some point I would start randomly clicking on choices to make it stop as soon as possible (oh yes, I forgot to mention these quizzes were all multiple choice).

There must be a way to make this more engaging while achieving the goal of gauging performance. Of course, you could space the opening and closing of quizzes for a span of days but then whatever material students learned during the last lecture would be forgotten by the time they take the last quiz, so they should take those quizzes as soon as possible.

In Canvas you can place quizzes in a stacked order in the modules section of the course, in whatever order you want, but they will display in a list format. The modules tool allows you to set requirements and prerequisites in a module. In prerequisites, you can lock a module until prerequisites have been completed (such as completing another previous module, or a series of modules). Requirements set rules on how an item in the modules is considered completed (could be just by viewing or by achieving a particular grade, such as a quiz or assignment grade).

Faculty have expressed to me they wish the quizzing tool in Canvas would offer more interactive quizzes, as opposed to long quizzes with multiple choice questions that students have to complete one after the other. Is there a fun way to arrange quizzes in Canvas (our learning management system)?

You bet there is one. You could gamify the quizzes in a course using the modules tool in Canvas by creating a series of levels of achievement, each one can be accessed after a goal has been acquired, or a series of levels have been passed. Let’s say you have a number of questions that you can divide in subjects and you need to check that students learn each subject before they move on to a new subject. Or you may want to check the level of expertise of students, they can start with basic questions and if they clear a threshold, they can move on to more complicated questions, or even skip whole sections if they demonstrate mastery on a subject.

You can set each quiz so that will become available after the student completes a series of goals or if they are able to demonstrate mastery of a series of subjects they may move to more difficult areas. You can also publish some kind of leaderboard to show those who have moved the farthest and the amount of time in which they accomplished this (Canvas does have a leaderboard but with limited output). You don’t need to publish the standing of every student, maybe just the first ten. This may motivate other students to engage more with the quizzes.

New Post has been published on https://www.elearninginmotion.com/how-to-gamify-quizzes-in-canvas-an-easy-way/

How to Gamify Quizzes in Canvas (an easy way)

While building quizzes in Canvas for a course (the professor teaching the course asked for my help) I paused for a moment to breath a little bit and take a sip of coffee, which I deserved because I had been entering both text and images nonstop for about two hours, I started thinking about those students that were supposed to take those quizzes later. As I was explained, they were supposed to take one after the other, each quiz was supposed to open and close at a specified time and date, all of them were timed. I would cry if I were one of those students. I am sure at some point I would start randomly clicking on choices to make it stop as soon as possible (oh yes, I forgot to mention these quizzes were all multiple choice).

There must be a way to make this more engaging while achieving the goal of gauging performance. Of course, you could space the opening and closing of quizzes for a span of days but then whatever material students learned during the last lecture would be forgotten by the time they take the last quiz, so they should take those quizzes as soon as possible.

In Canvas you can place quizzes in a stacked order in the modules section of the course, in whatever order you want, but they will display in a list format. The modules tool allows you to set requirements and prerequisites in a module. In prerequisites, you can lock a module until prerequisites have been completed (such as completing another previous module, or a series of modules). Requirements set rules on how an item in the modules is considered completed (could be just by viewing or by achieving a particular grade, such as a quiz or assignment grade).

Faculty have expressed to me they wish the quizzing tool in Canvas would offer more interactive quizzes, as opposed to long quizzes with multiple choice questions that students have to complete one after the other. Is there a fun way to arrange quizzes in Canvas (our learning management system)?

You bet there is one. You could gamify the quizzes in a course using the modules tool in Canvas by creating a series of levels of achievement, each one can be accessed after a goal has been acquired, or a series of levels have been passed. Let’s say you have a number of questions that you can divide in subjects and you need to check that students learn each subject before they move on to a new subject. Or you may want to check the level of expertise of students, they can start with basic questions and if they clear a threshold, they can move on to more complicated questions, or even skip whole sections if they demonstrate mastery on a subject.

You can set each quiz so that will become available after the student completes a series of goals or if they are able to demonstrate mastery of a series of subjects they may move to more difficult areas. You can also publish some kind of leaderboard to show those who have moved the farthest and the amount of time in which they accomplished this (Canvas does have a leaderboard but with limited output). You don’t need to publish the standing of every student, maybe just the first ten. This may motivate other students to engage more with the quizzes.

New Post has been published on http://machinelearningandartificialintelligence.com/machine-learning-is-rescuing-old-game-textures-in-zelda-and-final-fantasy/

Machine learning is rescuing old game textures in Zelda and Final Fantasy #machinelearning #artificialintelligence #AI

Source: Jeff Grubb, Venture Beat

The first generation of 3D video games are ugly. I think they are ugly in a charming way, but many people disagree with even that. The truth is that the Nintendo 64, PlayStation, and Saturn were like the Atari and Intellivision for 3D graphics. While modern technology has easily surpasses those hardware limitations, new processes may have a way to make those old games look slightly better. And it all comes down to neural networks and machine learning.

New Post has been published on http://machinelearningandartificialintelligence.com/the-8-signs-that-machine-learning-will-automate-some-or-all-of-your-job/

The 8 Signs That Machine Learning Will Automate Some or All of Your Job #machinelearning #artificialintelligence #AI

Source: Brian Merchant, Gizmodo

When we talk about how artificial threatens to impact jobs, we’re usually talking about how machine learning threatens to impact jobs. As the ‘hottest’ subfield of AI going, i.e. the one receiving the lion’s share of the research dollars and commercial investment, it’s pretty crucial to understand how, specifically, it’s going to roll out in offices and workplaces. Which jobs, and which tasks within those jobs, it stands to automate. Yet while a number of studies have endeavored to examine the impact of automation writ large on the employment picture, fewer have homed in on machine learning specifically. Read entire article…

New Post has been published on http://machinelearningandartificialintelligence.com/how-ai-and-quantum-computing-may-alter-humanitys-future-physics-ai-and-the-future/

How AI and Quantum Computing May Alter Humanity’s Future. Physics, AI, and the future. #machinelearning #artificialintelligence #AI

Source: Cami Rosso, The Future Brain, Psychology Today

New Post has been published on http://machinelearningandartificialintelligence.com/best-python-libraries-for-machine-learning/

Best Python libraries for Machine Learning #machinelearning #artificialintelligence #AI

Source: Rahul_Roy, Geeks for Geeks

New Post has been published on http://machinelearningandartificialintelligence.com/best-python-libraries-for-machine-learning/

Best Python libraries for Machine Learning #machinelearning #artificialintelligence #AI

Source: Rahul_Roy, Geeks for Geeks

New Post has been published on http://machinelearningandartificialintelligence.com/unprovability-comes-to-machine-learning/

Unprovability comes to machine learning #machinelearning #artificialintelligence #AI

Unprovability comes to machine learning

Source:

Scenarios have been discovered in which it is impossible to prove whether or not a machine-learning algorithm could solve a particular problem. This finding might have implications for both established and future learning algorithms.

New Post has been published on http://machinelearningandartificialintelligence.com/unprovability-comes-to-machine-learning/

Unprovability comes to machine learning #machinelearning #artificialintelligence #AI

Unprovability comes to machine learning

Source:

Scenarios have been discovered in which it is impossible to prove whether or not a machine-learning algorithm could solve a particular problem. This finding might have implications for both established and future learning algorithms.

New Post has been published on http://machinelearningandartificialintelligence.com/the-machine-learning-specialists-goldman-sachs-especially-needs-in-2019/

The machine learning specialists Goldman Sachs especially needs in 2019 #machinelearning #artificialintelligence #AI

Source: Sarah Butcher eFinancialcereers

It may be a whole new year, but some things haven’t changed. In January 2019 there’s still just as much buzz around machine learning as there was in December 2018. This may even be the year in which banks have something to show for all their investment in sentient algorithms.

As we start the year, Goldman Sachs is currently advertising around 100 jobs specifying that candidates must have machine learning skills globally. Machine learning skills are an increasingly important component of various jobs at the firm, from engineering through to trading and structuring. Read entire article…

New Post has been published on http://machinelearningandartificialintelligence.com/the-machine-learning-specialists-goldman-sachs-especially-needs-in-2019/

The machine learning specialists Goldman Sachs especially needs in 2019 #machinelearning #artificialintelligence #AI

Source: Sarah Butcher eFinancialcereers

It may be a whole new year, but some things haven’t changed. In January 2019 there’s still just as much buzz around machine learning as there was in December 2018. This may even be the year in which banks have something to show for all their investment in sentient algorithms.

As we start the year, Goldman Sachs is currently advertising around 100 jobs specifying that candidates must have machine learning skills globally. Machine learning skills are an increasingly important component of various jobs at the firm, from engineering through to trading and structuring. Read entire article…

New Post has been published on http://machinelearningandartificialintelligence.com/how-to-develop-deep-learning-models-for-univariate-time-series-forecasting/

How to Develop Deep Learning Models for Univariate Time Series Forecasting #machinelearning #artificialintelligence #AI #deeplearning #neuralnetworks

Source: Jason Brownlee, Machine Learning Mastery

Deep learning neural networks are capable of automatically learning and extracting features from raw data.

This feature of neural networks can be used for time series forecasting problems, where models can be developed directly on the raw observations without the direct need to scale the data using normalization and standardization or to make the data stationary by differencing.

Impressively, simple deep learning neural network models are capable of making skillful forecasts as compared to naive models and tuned SARIMA models on univariate time series forecasting problems that have both trend and seasonal components with no pre-processing.

New Post has been published on http://machinelearningandartificialintelligence.com/machine-learning-data-where-youd-least-expect-it/

Machine Learning & Data -- Where You'd Least Expect It #machinelearning #artificialintelligence #AI #bigdata #3dprinting

Source: Bruno Aziza, Forbes

Since the concept of “machines learning” was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company must deploy.

Every day we hear how data and automation improve our shopping experiences, our online searches and enables fraud prevention and cybersecurity routines to do more, faster and better for us.

New Post has been published on http://machinelearningandartificialintelligence.com/critical-thinking-and-becoming-students-of-data-science/

Critical Thinking and Becoming “Students of Data Science” #machinelearning #artificialintelligence #AI

Source: Bill Schmarzo, Data Science Central

Social media and internet search scare me because it is so easy to acquire information without also acquiring the associated knowledge. It’s easy to find almost any information via search or social media, but an effective “student of data scientist” (as well as any effective future leader) must learn to discern easily acquired information with a sense of skepticism. To quote the character Dr. Ian Malcolm (played skillfully by Jeffrey Goldblum) in the movie “Jurassic Park:”

New Post has been published on http://machinelearningandartificialintelligence.com/50000-posts-in-data-science-machine-learning-vacant-in-india-report/

50,000 posts in data science, machine learning vacant in India: Report #machinelearning #artificialintelligence #AI

Source: IANS, The News Minute

According to Gartner, out of 10 lakh registered companies in India, 75 per cent have invested or are going to invest in ML and data science.

As India pushes its boundaries towards achieving digital growth, a new report said on Tuesday that over 50,000 positions in the fields of data science and Machine Learning (ML) are vacant in the country owing to a lack of skilled workforce.

New Post has been published on http://machinelearningandartificialintelligence.com/500-awesome-bookmarks-for-data-science-machine-learning/

500+ awesome bookmarks for Data Science & Machine Learning #machinelearning #artificialintelligence #AI

Source: Udit Ranjan, Towards Data Science

This is a list of free online data science & machine learning resources that I built over the last year. There’s a wealth of information on the web, and as a data science professional, I would often lose the really good stuff in the ocean of data science resources. That’s when I started organizing everything in one place — the bookmarks toolbar — easy to access, share and maintain.

New Post has been published on http://machinelearningandartificialintelligence.com/new-machine-learning-framework-could-lead-to-breakthroughs-in-material-design/

New machine learning framework could lead to breakthroughs in material design #machinelearning #artificialintelligence #AI

Source: Erica Corder, Virginia Tech

Computers used to take up entire rooms. Today, a two-pound laptop can slide effortlessly into a backpack. But that wouldn’t have been possible without the creation of new, smaller processors — which are only possible with the innovation of new materials.

But how do materials scientists actually invent new materials? Through experimentation, explains Sanket Deshmukh, an assistant professor in the chemical engineering department whose team’s recently published computational research might vastly improve the efficiency and costs savings of the material design process.