Accelerating Learning with Analytics: Using Transaction Level Data to Identify Student Misconceptions

Rob Nyland; Randall Davies; John Chapman; Gove Allen

Accelerating Learning with Analytics: Using Transaction Level Data to Identify Student Misconceptions

Rob Nyland
, Randall Davies
, John Chapman
, Gove Allen

Brigham Young University

Research output: Contribution to conference › Presentation

Abstract

Learning Analytics has the possibility of providing instructors with information regarding common misconceptions amongst their students. However, in order to identify these misconceptions, a special type of data is required (transaction level data). In this session, we will discuss ongoing research with an Intro to Excel class that collects such data. We will discuss our findings as well as future plans to use data mining algorithms to process and visualize patterns in the data.

Original language	American English
State	Published - 6 Nov 2015
Externally published	Yes
Event	2015 Conference of the Association for Educational Communications and Technology - Indianapolis, IN Duration: 6 Nov 2015 → …

Conference

Conference	2015 Conference of the Association for Educational Communications and Technology
Period	6/11/15 → …

EGS Disciplines

Educational Assessment, Evaluation, and Research

Cite this

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title = "Accelerating Learning with Analytics: Using Transaction Level Data to Identify Student Misconceptions",

abstract = " Learning Analytics has the possibility of providing instructors with information regarding common misconceptions amongst their students. However, in order to identify these misconceptions, a special type of data is required (transaction level data). In this session, we will discuss ongoing research with an Intro to Excel class that collects such data. We will discuss our findings as well as future plans to use data mining algorithms to process and visualize patterns in the data.",

author = "Rob Nyland and Randall Davies and John Chapman and Gove Allen",

year = "2015",

month = nov,

day = "6",

language = "American English",

note = "2015 Conference of the Association for Educational Communications and Technology ; Conference date: 06-11-2015",

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TY - CONF

T1 - Accelerating Learning with Analytics: Using Transaction Level Data to Identify Student Misconceptions

AU - Nyland, Rob

AU - Davies, Randall

AU - Chapman, John

AU - Allen, Gove

PY - 2015/11/6

Y1 - 2015/11/6

N2 - Learning Analytics has the possibility of providing instructors with information regarding common misconceptions amongst their students. However, in order to identify these misconceptions, a special type of data is required (transaction level data). In this session, we will discuss ongoing research with an Intro to Excel class that collects such data. We will discuss our findings as well as future plans to use data mining algorithms to process and visualize patterns in the data.

AB - Learning Analytics has the possibility of providing instructors with information regarding common misconceptions amongst their students. However, in order to identify these misconceptions, a special type of data is required (transaction level data). In this session, we will discuss ongoing research with an Intro to Excel class that collects such data. We will discuss our findings as well as future plans to use data mining algorithms to process and visualize patterns in the data.

M3 - Presentation

T2 - 2015 Conference of the Association for Educational Communications and Technology

Y2 - 6 November 2015

ER -

Accelerating Learning with Analytics: Using Transaction Level Data to Identify Student Misconceptions

Abstract

Conference

EGS Disciplines

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