Working Group on Quantitative Skill

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LACOL’s Quantitative Skills Group is focused on providing students with the preparation they need to engage in quantitative reasoning across the disciplines. In addition, the group is exploring ways our network may enrich opportunities for advanced study and collaborative faculty-student research.

Activities and Interests of this group include:

  • Study group for ongoing dialogue about emerging pedagogies for liberal arts teaching and learning for the quantitative disciplines; comparing campus data
  • Collecting and sharing of online and adaptive  tools and resources to support student learning
  • Experiment with online communities and peer networks to support students and peer tutors
  • Opportunities to connect faculty and students for upper level learning through online exchange
Quantitative Skills Intranet Home: http://lacol.net/collab/

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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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On the Math Fundamentals Program: QS meet-up April 7

On April 7, LACOL QS members are cordially invited to join a one-hour web conference with the leads of the Math Fundamentals (FIPSE) Program, Faculty PI and Professor of Physics Elizabeth McCormack and project management lead Jennifer Spohrer, Manager of Educational Technology Services, both at Bryn Mawr College.

Math Fundamentals is a multi-year, multi-campus initiative investigating the use of blended, just-in-time “sandwich” modules for math review in STEM. The research partners (including LACOL members Bryn Mawr College and Vassar College) are currently field testing several faculty-authored modules in calculus, chemistry and physics. (more…)

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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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Live from the LACOL QS Hack-a-thon at Carleton College (Jan 9-11)

Welcome! Here is a slideshow and live tweets from the #LACOLQS hack-a-thon, Jan 9-11 on the campus of Carleton College.

Colleagues with wide-ranging expertise and disciplinary interests from seven LACOL schools spent three days sharing, working and learning side-by-side at the hack-a-thon. Together, the team developed an initial draft and prototypes of a collaborative framework for creating/curating and evaluating online QS/QR modules that can boost students success and improve access. With inspiration from special guest Jim Rolf from Yale ONEXYS, we delved deeply into collaborative strategies for design, implementation and measuring effectiveness. A grand time was had by all … and more to come! (Read more about the project.)

  • Expert mingle! LACOLQS
    9 months ago Expert mingle!  #LACOLQS 
  • Day 2 ! LACOLQS
    9 months ago Day 2 !  #LACOLQS 
  • Welcome to colleagues joining remotely SF  LA for QShellip
    9 months ago Welcome to colleagues joining remotely (SF & LA) for QS hack-a-thon  #LACOLQS 
  • badges for Yales online summer bridge for QS ONEXYS LACOLQS
    2 years ago badges for Yale's online summer bridge for QS, ONEXYS  #LACOLQS 
  • Next stop LACOLQS Hackathon carletoncollege
    9 months ago Next stop:  #LACOLQS  Hack-a-thon  @carletoncollege 
  • Breakouts  headsdown work on topical modules in this casehellip
    8 months ago Breakouts ... heads-down work on topical modules (in this case, graphing)  #LACOLQS 
  • Hacking the Qbits LACOLQS
    9 months ago Hacking the Q-bits  #LACOLQS 
  • Students perspective LACOLQS
    9 months ago Students perspective  #LACOLQS 
  • Sharing our campus perspectives LACOLQS
    8 months ago Sharing our campus perspectives  #LACOLQS 
  • J Rolf shares insights from Yale ONEXYS LACOLQS
    9 months ago J Rolf shares insights from Yale ONEXYS  #LACOLQS 
  • M EblenZayas draws examples from Carleton CUBE to fuel collabhellip
    8 months ago M. Eblen-Zayas draws examples from Carleton CUBE to fuel collab  #LACOLQS 
  • Problems problems LACOLQS
    9 months ago Problems problems  #LACOLQS 
  • Yes we do LACOLQS
    9 months ago Yes we do.  #LACOLQS 
  • The incomparable J Russell at LACOLQS
    8 months ago The incomparable J Russell at  #LACOLQS 
  • Afternoon breakout  connecting Pomona colleagues to Carleton via Zoomhellip
    8 months ago Afternoon breakout ... connecting Pomona colleagues to Carleton via Zoom  #LACOLQS 
  • Packing a few essentials for the LACOLQS hackthon Jan 911hellip
    9 months ago Packing a few essentials for the  #LACOLQS  hack-thon, Jan 9-11  @carletoncollege 
  • Getting modular LACOLQS
    9 months ago Getting modular  #LACOLQS 
  • Thanks to E Mistry and C Born in Carleton AThellip
    8 months ago Thanks to E Mistry and C Born in Carleton AT  #LACOLQS 

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Testing interactive online learning modules for STEM

Blended modules cover topics such as trigonometry and statistics.

Starting in the fall of 2016, faculty at Bryn Mawr and seven partner liberal arts colleges (including LACOL member Vassar College) are field-testing faculty-authored online learning modules they have developed and refined over the past two years as part of the Blended, Just-in-Time Math Fundamentals program. Led by Bryn Mawr professor of physics, Elizabeth McCormack, the Math Fundamentals program tackles math review for students enrolled in introductory STEM (science, technology, engineering and math) courses. It is designed as a scalable, affordable method for helping students who are interested in STEM fields and generally college-ready in math, but who have areas of weakness or lack experience with applied mathematics, to build skills and confidence needed to thrive in introductory STEM courses.

For example, a student taking introductory physics will need to draw on trigonometry in order to solve certain types of vector problems. While most students encounter trigonometry at some point in high school math courses, the timing, breadth and depth of that exposure can vary considerably. To help these students, physics, chemistry and calculus professors at Allegheny, Bryn Mawr, Franklin & Marshall, Grinnell, Lafayette, Mills, Smith, St. Olaf, and Vassar colleges have worked with instructional designers to develop a “sandwich” approach to math review. Each module starts with a worked example of a canonical course problem — such as resolving vectors in introductory physics. This example identifies the fundamental math skills needed to solve the problem and provides links to online, interactive self-assessment and practice resources. According to the project manager Jennifer Spohrer, Manager of Educational Technology Services at Bryn Mawr:

These resources give students individualized feedback on their mastery of math fundamentals. Meanwhile, faculty, academic support staff, and peer tutors can review students’ work to provide additional assistance to those who need it. Students then solve a “do-it-yourself” version of the original problem to practice applying those skills in context.

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Webinar: Carleton Cube Debrief (October 19)

Meeting:

Debrief on Carleton’s CUBE pilot (online summer bridge program for quantitative skills)

On October 19, LACOL held a webinar with special guests Melissa Eblen-Zayas and Janet Russell from Carleton College.  In this one-hour session, Melissa and Janet shared their experiences running the first iteration of the ‘Carleton Undergraduate Bridge Experience’ or CUBE, a new online summer bridge program designed to support entering students with quantitative skills and reasoning.  Carleton’s creative approach to developing CUBE riveted the audience at the June LACOL workshop as the pilot was just getting underway.  Now in this “debrief” session, you can hear all about what went into running the program in the first round, how students responded, and the lessons that were learned.  The meeting was held in Zoom with ample opportunity for Q&A and discussion.  Contact Liz Evans (eevans@haverford.edu) for more information.

Special Guests:

  • Melissa Eblen-Zayas, Associate Professor of Physics and Director of the Perlman Center for Learning and Teaching, Carleton College
  • Janet Russell, Director of Academic Technology, Carleton College

Related Resources:

Date:

Wednesday, Oct 19

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A look into Carleton’s CUBE for QS/QR

G. Shuffelton from Carleton College
G. Shuffelton
J. Russel, Carleton College
J. Russell

A major highlight of Saturday’s plenary session at the June LACOL workshop was a presentation from Carleton College on their new online/hybrid bridge program called ‘Carleton Undergraduate Bridge Experience’ or CUBE. Associate Dean and Professor of English George Shuffelton opened the session with some background on the motivations for designing the new program to support incoming students with their quantitative skills and reasoning which pilots this summer. Director of Academic Technology Janet Russell has worked closely with the program’s director, Physicist Melissa Eblen-Zayas, and the Carleton IT team to guide the learning design for the first cohort of ~24 students. Janet described various elements of the program, including on-campus and online mentoring, videos and connections through social media. Workshop participants, especially those involved with the Quantitative Skills working group, applauded this excellent presentation and are excited to learn from Carleton’s initial experiences this summer. The QS group is exploring various ways the colleges might collaborate to support students with quantitative skills and reasoning as they arrive on campus and progress with their studies.



Carleton’s G. Shuffelton and J. Russell share a look at the CUBE for QS/QR.


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Hybrid/Online Bridge for Quantitative Reasoning – conversation with Yale ONEXYS

On Monday, Feb 29, members of LACOL’s Quantitative Skills working group met with Yale’s ONEXYS team for a discussion of online/hybrid approaches to supporting students with quantitative skills and reasoning.

Yale's ONEXYS hybrid bridge for Quantitative Reasoning
Yale’s ONEXYS hybrid bridge for Quantitative Reasoning

Areas of common interest include:

  • Yale’s experience with ONEXYS
  • Measuring program impact and student success
  • Online module design/content for summer bridge
  • Training of peer coaches/mentors for effective tutoring (blended and online)
  • Envisioning a virtual community/social network for students and/or coaches

Meeting:
Online Bridge Programs for QS/QR Preparedness
Yale ONEXYS / LACOL QS web conference

QS Logo
LACOL QS Working Group

Date:
Monday, Feb 29, 2016

Special Guests:
Jim Rolf (Yale Math Department)
Edward O’Neill (Yale Teaching and Learning Center) (more…)

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