6 / 2018-07-29 06:32:51
Mobile learning App for Data Structure Course (the effect on student learning outcomes)
mobile learning,data structure,learning outcomes
Draft Pending
Edy Budiman / Universitas Mulawarman
The low learning outcomes of students from year
to year in the department of informatics in the course of data
structure affect the learning outcomes. The purpose of this
research is to know the difference between Student Learning Result
between Using Mobile Media Learning application with
Conventional Learning. Using a Quasi-Experimental Design.
The sampling technique used is Cluster Purposive Sampling.
Samples were divided into two groups: experimental groups
taught using media mobile learning apps, and control groups
taught using conventional learning. The test result data were
tested using the Shapiro-Wilk test to know the data normality, F
test for data homogeneity, and t-test to know the difference of
learning result value with significant level (α = 0.05). Based on
data analysis result, normality test result with Shapiro-Wilk
test obtained the value of both groups of samples is normal
distribution and the result of the F test are homogeneous. T-test
result obtained by probability = 1.830 with α = 0.05 so
probability value <α = 0.05 which means H0 is rejected, hence
there is the difference of result of student learning between using
application of Mobile learning media with conventional
learning.
Important Date
  • Conference Date

    Oct 17

    2018

    to

    Oct 19

    2018

  • Jul 17 2018

    Draft paper submission deadline

  • Aug 17 2018

    Draft Paper Acceptance Notification

  • Sep 17 2018

    Final Paper Deadline

  • Oct 19 2018

    Registration deadline