Tag Archives: data

Sabbatical: Supporting Data-Driven Decision Making With Educational Data Analytics Technologies

I’m happy to say that I was awarded a sabbatical for the 2018-2019 academic year. The fancy title of this post will be the focus of my sabbatical. It should be a grand ole dandy time, and I’m looking forward to spending my time doing and learning something new. If you’d like to read more about my sabbatical, I posted a few key points below.

Abstract: Learning analytics is a new and developing field. There is a growing literature base around learning analytics and its impact on student grades and retention. Although learning analytics is still at a relatively early stage of development, there is convincing evidence from early adopters that learning analytics will help to improve outcomes. It only makes sense that Maricopa would want to tap into this new field. Learning analytics has been defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs” (Sampson, 2016). Maricopa with its use of Canvas LMS and SIS has an overabundance of data that goes unused. Becoming a data analysis authority will enable me, as a full-time faculty member, to help support data driven decision making at GCC using education data analytics technologies, which includes Canvas Data Portal.

Goal(s) – what the sabbatical will accomplish. A vital aspect of data driven decision making is Data Literacy for Teachers, which is the primary goal of this sabbatical, to empower myself to use data in the decision-making process, so that I can help support data driven decision-making at GCC using education data analytics technologies. Data Literacy for Teachers “comprises the competence set (knowledge, skills, and attitudes) required to identify, collect, analyze, interpret, and act upon Educational Data from different sources so as to support improvement of the teaching, learning and assessment process” (Sampson, 2016). Our LMS, Canvas, produces a lot of data that presently is not being used. By becoming a data analysis authority and more knowledgeable in Canvas Data, I will be able to help support other faculty and administrators with data driven decision making at GCC using these data analytics from Canvas.

Objectives – steps to achieve the goal(s). The objectives for this project mostly follow the competency set (knowledge, skills, and attitudes) required for Data Literacy for Teachers. They are required to identify, collect, analyze, interpret, and act upon Educational Data from different sources. There are several steps involved in this project.

  • Identify and learn about big data, analytics and data analysis.
  • Identify and learn about Canvas Learning Analytics.
  • Learn about Canvas Data Portal.
  • Learn how to collect the data from Canvas into various tools for analysis.
  • Learn Data Analysis to discover what the right questions to ask will be.
  • Learn how to interpret learning data to predict and influence outcomes (act upon).
  • Assess and identify which BI Tools schools are leveraging to analyze data.
  • Create/Find a collection of example queries that use Canvas Hosted Data to answer questions; queries that could be very useful to solve problems at GCC (act upon).
  • Create awareness guides and a workshop for faculty on Canvas Learning Analytics.
  • Create a resource guide for district CTL’s on Canvas Data Portal.
  • Get Canvas Data Portal turned on in Maricopa.

The only objective I’m worried about not accomplishing is the last. It can be a challenge at time getting things with in Maricopa accomplished, but I’m up for the fight.