Welcome to Q-bits!

This blog channel is your gateway to Q-bits, online modules designed by our faculty to support students with quantitative skills and reasoning across the disciplines.  In the posts below, you can find information and links to each Q-bit that is hosted in your campuses learning management system (LMS) for easy access.

⇒ Students, please leave us a comment about your experience using any of the Q-bits in the posts below.  We invite your suggestions on how to improve current modules, or what other topics might be useful to you!

⇒ Faculty, for more information about using Q-bits with your students, we invite you to watch this short video: Q-bits Tutorial.

Q-bits available in Fall 2017:

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Q-bit: Logarithms

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LACOL_MKAlgebra:
Logarithms
Module Purpose: This module guides students on key concepts for working with logarithms in different disciplinary contexts.

Module Authors: Melissa Eblen-Zayas, Carleton College, Jim Rolf and Yale ONEXYS, with additional problems contributed by LACOL faculty, instructors and QS/QR tutors.

Notes on Strategy: 

  1. Watch the instructional videos to review some basic characteristics of logs and different ways that they can be used.
  2. Gain practice in applying your knowledge through problem solving.

Application Problems:

  • Perception of Sound (Psychology)
  • Acidity of Chemical Solutions (Chemistry)
  • Radioactive Materials – Rate of Decomposition (Chemistry, Physics)
  • Earthquakes and the Richter scale (Geology)
  • Binary Representation of Data (Computer Science)
  • Binary Search (Computer Science)
  • Doubling the Value of an Investment (Economics)
STUDENTS: Access the ‘Logarithms‘ Q-bit in your LMS! 

Carleton College: contact the Academic Technology team in ITS for access in Moodle.

Haverford College: https://moodle.haverford.edu/course/view.php?id=678

Williams College: contact the OIT team for access in GLOW.

We welcome your feedback!! Please leave a comment below to let us know how this q-bit was helpful to you.  What would make it more helpful?  Do you have suggestions for other q-bits?

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Q-bit: Linear Functions

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LACOL_MKAlgebra:
Linear Functions
Module Purpose: This module guides students on key concepts for working with linear functions in different disciplinary contexts.

Module Authors: Adam Honig, Amherst College, Jim Rolf and Yale ONEXYS, with additional problems contributed by LACOL faculty, instructors and QS/QR tutors.

Notes on Strategy: 

  1. Watch the instructional videos to review some basic characteristics of linear functions and different ways that they can be used.
  2. Gain practice in applying your knowledge through problem solving.

Application Problems:

  • The Keeling Curve
  • Moving Objects
  • Linear Functions in the Supply and Demand Model: Numerical Examples
  • Linear Functions in the Supply and Demand Model: Slopes and Intercepts
  • The Consumption Function
STUDENTS: Access the ‘Linear Functions‘ Q-bit in your LMS! 

Carleton College: contact the Academic Technology team in ITS for access in Moodle.

Haverford College: https://moodle.haverford.edu/course/view.php?id=646

Williams College: contact the OIT team for access in GLOW.

We welcome your feedback!! Please leave a comment below to let us know how this q-bit was helpful to you.  What would make it more helpful?  Do you have suggestions for other q-bits?

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Q-bit: Choosing a Graph Type to Visualize Data

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LACOL_MKGraphing:
Choosing a Graph Type to Visualize Data
Module Purpose: This module guides students on steps to think about the variables they’re exploring and select the best graph type to visualize them.

Module Authors: Ming-Wen An, Vassar College; Albert Y. Kim, Amherst College, with additional problems contributed by LACOL faculty, instructors and QS/QR tutors.

Notes on Strategy: 

  1. Watch the instructional videos and be wowed by the power of data visualization.
  2. Understand the importance of identifying the types of variables in your research question.
  3. Gain practice in selecting the graph type that is best suited to visualize your data.

Application Problems:

  • Biology: Personal Genomics – Quantifying Genetic Variation among Individuals
  • Economics: Discovering the Law of Supply and Demand
STUDENTS: Access the ‘Choosing a Graph Type’ Q-bit in your LMS! 

Carleton College: contact the Academic Technology team in ITS for access in Moodle.

Haverford College: https://moodle.haverford.edu/course/index.php?categoryid=44

Vassar College: http://moodle.vassar.edu/course/view.php?id=11931

Williams College: contact the OIT team for access in GLOW.

We welcome your feedback!! Please leave a comment below to let us know how this q-bit was helpful to you.  What would make it more helpful?  Do you have suggestions for other q-bits?

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Webinar: Using Q-bits with Students (Fall 2017)

Curious about Q-bits? Watch the webinar (30 min):


M. Eblen-Zayas
M. Eblen-Zayas

This video presents a half-hour webinar training with Prof. Melissa Eblen-Zayas of Carleton College and members of the QLAB Project core team. Melissa provides an overview of Q-bits and answers questions about testing in the upcoming term.   

Related Resources:

Please feel free to forward this post to colleagues who may be interested in Q-bits! The webinar is an great way preview a Q-bit and learn more about our multi-campus collaboration to develop and test ways these modules may help to support students with their quantitative work in different disciplinary contexts.  

Q-bit Training Outline:

  • What are Q-bits?  (a brief tour)
  • Our pilot study – research goals
  • Options and steps for testing Q-bits with your students
  • Key dates 
  • Resources for Q-bit Testers
  • Q&A

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A new LACOL collaboration will develop Qbits to support students with quantitative skills and reasoning

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M. Eblen-Zayas
Above: Physicist M. Eblen-Zayas, Carleton College

Top: Mathematician M. Stoicu, Williams College at the 2017 QS Hackathon

To assist our students with readiness for their quantitative work across the curriculum, LACOL’s Quantitative Skills working group is launching a multi-campus initiative, nicknamed QLAB. Through this collaboration, faculty and technologists are teaming up to build a shared framework for curating, implementing and assessing instructional modules for quantitative skills (QS) and quantitative reasoning (QR). The strategy draws on a body of research in higher education and experience at our institutions showing that online modules can be a beneficial component of an overall QS/QR support program.

According to project co-lead Melissa Eblen-Zayas, Associate Professor of Physics and Director of the Perlman Center for Learning and Teaching, Carleton College:

The QLAB project addresses a challenge that many of us are facing — we want all students to be successful regardless of their high school math preparation. Currently, each faculty member teaching a course that makes use of basic quantitative skills (QS) must find ways to support students with weak QS preparation. Rather than having faculty members develop all of their own support resources, this project will develop shared online modules – Qbits – that can be deployed for just-in-time review and skill-building in a number of disciplines.

Developing online resources that can be used in multiple contexts to help students strengthen their quantitative skills serves two purposes. First, by showing how these skills are relevant in various disciplinary contexts, students learn to view quantitative skills as fundamental and transferable skills that they can draw on in many areas of their liberal arts experience. Second, as a consortial effort, we will have more students using these modules in a variety of contexts so that we can collect meaningful data about the effectiveness of the various modules, and improve them accordingly.

Groundwork for the project was laid during the QS Framework Hack-a-thon held at Carleton College in January 2017.  At that workshop, faculty and technologists created module prototypes and explored research questions based on the common needs and challenges the partner schools experience as small, residential liberal arts institutions.
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LACOL Hack-a-thon Toward a Collaborative Quantitative Skills Support Framework

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See also: QLAB project launch http://lacol.net/qlab-launch

This January, LACOL’s Quantitative Skills working group held a 3­-day intensive workshop (also known as a hack­-a­-thon) to explore a shared framework for review of online modules designed to strengthen students’ quantitative skills (QS) and quantitative reasoning (QR). The face-to-face event was designed by a core team of faculty and technologists from the QS group.  The workshop was hosted at Carleton College, with support from the Office of the President, Perlman Center for Learning and Teaching, and Office of Academic Technology.

Click for the Slideshow
Click for the Slideshow

Goals for the LACOL QS hack-a-thon:

  1. Identify aspects of existing QS/QR curricula, frameworks, and methods to be adapted as an online module/program by participating colleges. The goal for the collaboration is to enhance, not replace, local offerings.
  2. Plan for participating campuses to pilot one of the frameworks and agree to a process for assessment and sharing results among campuses.
  3. Document workshop outcomes and recommendations to share with colleagues across the liberal arts.

Location: Carleton College

Dates: Jan 9-11, 2017 (live blogging)

Workshop Outline: click here

Special Guest: Jim Rolf, Shizuo Kakutani Lecturer in Mathematics at Yale University; lead for Yale Online Experiences for Yale Scholars (ONEXYS)

Workshop Participants: list

Background:

Throughout the year, the QS working group has been exploring ideas for a collaborative framework to curate or build online tools and resources – including metadata on related pedagogical practices – to support students with QS/QR. Earlier this year, QS group members contributed to a joint exercise informally titled “What do we mean by quantitative skills?” to generate a shared list of key skills across the quantitative disciplines that students will need to have or acquire early in their academic careers. This common skills list provides input into strategies for helping students identify and close gaps.
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