Arkansas Tech University

Slides:



Advertisements
Similar presentations
Using Video Segments to Enhance Early Clinical Experiences of Prospective Teachers Kristen Cuthrell, Michael Vitale, College of Education, East Carolina.
Advertisements

RELIABILITY Reliability refers to the consistency of a test or measurement. Reliability studies Test-retest reliability Equipment and/or procedures Intra-
Chapter Fourteen The Two-Way Analysis of Variance.
Increasing Preservice Teachers' Capacity for Technology Integration Through the Use of Electronic Models Melissa Dark Purdue University.
Dissemination and Critical Evaluation of Published Research Peg Bottjen, MPA, MT(ASCP)SC.
Neag School of Education Using Social Cognitive Theory to Predict Students’ Use of Self-Regulated Learning Strategies in Online Courses Anthony R. Artino,
Writing the Results Section
Business 205. Review Analysis of Variance (ANOVAs)
Engaging the Open Distance Learners:
PSY 307 – Statistics for the Behavioral Sciences
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Two Groups Too Many? Try Analysis of Variance (ANOVA)
EXPERIMENTAL DESIGN Random assignment Who gets assigned to what? How does it work What are limits to its efficacy?
Analysis of Variance & Multivariate Analysis of Variance
Psyc 235: Introduction to Statistics
Quantitative Research
COURSE: JUST 3900 Tegrity Presentation Developed By: Ethan Cooper Final Exam Review.
Division Of Tagum.
Effective Practices during Transition: Does Preparation Make a Difference Mary E. Morningstar, Ph.D. University of Kansas Sung Jik Bae, Ph.D. University.
Οξούζογλου Λεωνίδας Επιβλέπων Καθηγητής: Οικονομίδης Αναστάσιος Εξεταστής 1: Σατρατζέμη Μαρία Εξεταστής 2: Ξυνόγαλος Στυλιανός ΔΙΑΤΜΗΜΑΤΙΚΟ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ.
Introductory Statistics for Laboratorians dealing with High Throughput Data sets Centers for Disease Control.
Statistics for the Social Sciences Psychology 340 Fall 2013 Thursday, November 21 Review for Exam #4.
Inferential Statistics: SPSS
Family, School, and Community Partnerships: A Model for Pre-service Teacher Education Presentation at Center for Research, Evaluation & Advancement of.
Repeated Measures ANOVA
What do Graduate Learners Say about Instructor and Learner Discourse in their First Online Course? By Dr. Peter Kiriakidis, PhD Abstract This study was.
Implication of Gender and Perception of Self- Competence on Educational Aspiration among Graduates in Taiwan Wan-Chen Hsu and Chia- Hsun Chiang Presenter.
Statistics for the Behavioral Sciences Second Edition Chapter 12: Between-Groups ANOVA iClicker Questions Copyright © 2012 by Worth Publishers Susan A.
Dissertation Theme “The incidence of using WebQuests on the teaching-learning process of English Foreign Language (EFL) for students attending the seventh.
Chapter 11 HYPOTHESIS TESTING USING THE ONE-WAY ANALYSIS OF VARIANCE.
The Effect of Musical Intelligence through Using the Suggestopedia Method on the Achievement of the Basic Sixth Grade Students' Vocabulary and Reading.
t(ea) for Two: Test between the Means of Different Groups When you want to know if there is a ‘difference’ between the two groups in the mean Use “t-test”.
T-TEST Statistics The t test is used to compare to groups to answer the differential research questions. Its values determines the difference by comparing.
Kanchana Prapphal, Chulalongkorn University Statistics for Language Teachers Kanchana prapphal May 23, 2002 Kasetsart University.
INTRO TO EXPERIMENTAL RESEARCH, continued Lawrence R. Gordon Psychology Research Methods I.
Effects of an Animated Pedagogical Agent with Instructional Strategies in Mutlimedia Learning Yung, H. I. (2009). Effects of an animated pedagogical agent.
Psychology 301 Chapters & Differences Between Two Means Introduction to Analysis of Variance Multiple Comparisons.
Mapping A Strategy to Attract the Politically Engaged Student to East Evergreen University Consultants: Elizabeth Goff Scott Gravitt Kim Huett Carolyn.
The Use of Distance Learning Technology by Business Educators for Credentialing and Instruction Christal C. Pritchett, Ed.D. NABTE Research Session Anaheim,
Testing Hypotheses about Differences among Several Means.
Teacher Behaviors The teacher should allow the students to figure out the main idea of a lesson on their own. (SD, D, A, SA) –SD=4, D=3, A=2, SA=1 The.
Correlational & Differential Designs & APA Results Psychology 291 November 5, 2012.
Inferential Statistics
Lecture 9 TWO GROUP MEANS TESTS EPSY 640 Texas A&M University.
A Study of the Achievement in English of Mathayomsuksa 2 Students at Suksanareewittaya School, Using the Storyline Method. Supa Sringam
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Chapter 13 CHI-SQUARE AND NONPARAMETRIC PROCEDURES.
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
Richard Ng, PhD Open University Malaysia , Nov 2011, Kuala Lumpur, Malaysia Social Media and the Teaching of Mathematics in a Lifelong Learning.
An Exploration into Learners’ Autonomy in the SAC of Chongqing University Professor Xiaoling Zou Chongqing University
Examining Rubric Design and Inter-rater Reliability: a Fun Grading Project Presented at the Third Annual Association for the Assessment of Learning in.
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
IS 4800 Empirical Research Methods for Information Science Class Notes March 16, 2012 Instructor: Prof. Carole Hafner, 446 WVH Tel:
Pretest/Posttest/Group ANCOV The Univariate Approach.
Surveying instructor and learner attitudes toward e-learning Presenter: Jenny Tseng Professor: Ming-Puu Chen Date: April 12, 2008 Liaw, S., Huang, H.,
This material is based upon work supported by the National Science Foundation under Grant No and Any opinions, findings, and conclusions.
1 Hypermedia learning and prior knowledge: domain expertise vs. system expertise. Timothy J. F. Mitchell, Sherry Y. Chen & Robert D. Macredie. (2005) Hypermedia.
Psych 230 Psychological Measurement and Statistics Pedro Wolf November 18, 2009.
Chapter Eight: Quantitative Methods
Experimental Research Methods in Language Learning Chapter 13 Paired-Samples and Independent- Samples T-tests.
Chapter 14 Repeated Measures and Two Factor Analysis of Variance PowerPoint Lecture Slides Essentials of Statistics for the Behavioral Sciences Seventh.
Effect Sizes for Continuous Variables William R. Shadish University of California, Merced.
Effects of Word Concreteness and Spacing on EFL Vocabulary Acquisition 吴翼飞 (南京工业大学,外国语言文学学院,江苏 南京211816) Introduction Vocabulary acquisition is of great.
Teaching Innovation Conference Arkansas Tech University May 5, 2016
Usage of E-learning sites among Ophthalmologists - An Opinion survey
7th International Conference on Cognitive Science
Carrie O’Reilly, Ph.D., M.S.N., RN Touro University Nevada
CJ 526 Statistical Analysis in Criminal Justice
Indiana University School of Social Work
Investigations using the
Presentation transcript:

Arkansas Tech University The Effects of Interactive Instructional Video on Students’ Knowledge Acquisition and Academic Characteristics in an Online Learning Environment  Aileen Watts awatts4@atu.edu  Rebecca A. Callaway rcallaway@atu.edu Mohamed Ibrahim mibrahim1@atu.edu Arkansas Tech University College of Education The Society for Information Technology and Teacher Education (SITE), March 2-6, 2015 Las Vegas, Nevada, USA

BACKGROUND Interactive vs. Non-Interactive Learning Materials: Non-interactive learning materials dictate the order of presentation Multimedia allow navigation of information in a nonlinear fashion Learners’ understanding arises from the interaction with the presented information

OBJECTIVES To investigate: The implications of the use of the interactive instructional video on: Preservice teachers’ learning outcomes

THEORETICAL FRAMEWORK Cognitive Theory of Multimedia Learning (CTML) (Mayer, 2001) Learners prefer multimedia over text Learners likely to gain deeper learning from multimedia

METHODS This study employed between-subject design To assess the effect of using interactive instructional video on: Preservice teachers' learning outcomes in an online course

METHODS Three independent variables: Dependent variable: Video design (interactive or non-interactive video) Learning style and Students’ GPA Dependent variable: Learning outcomes

PARTICIPANTS 34 preservice teachers (16 interactive , 18 non-interactive video) Students non-science majors Students from four different majors: Bachelor of professional studies Early childhood education Middle-level education Secondary education

RESEARCH QUESTIONS Will interactive instructional video improve preservice teachers’ learning outcomes compared to the non-interactive instructional video in a technology integration course in an online learning environment? Do learning styles effect preservice teachers’ learning outcomes during learning from the instructional video in a technology integration course in an online learning environment? Do preservice teachers’ learning outcomes differ according to their overall GPA after learning from the instructional video in a technology integration course in an online learning environment?

INSTRUMENTATION All materials online (Bb) Content released to students the week of experiment Measures selected or developed by the course instructors Consisted of: Demographic survey UDL Learning module 10-question multiple-choice post-test used as interactive component

MATERIALS The materials were identical in all groups Two different instructional video about UDL: Interactive using questions with the experimental group Non-interactive with the control group

PROCEDURE Students in all sections completed a demographic survey Students watched the videos and created a blog based on the principles of the UDL framework learned from the video The experimental group completed the same activities as the control group The only difference between both groups was answering questions about the blog design while watching the video (interactive element).

RESULTS First question: “Will interactive instructional video improve preservice teachers’ learning outcomes compared to the non-interactive instructional video in a technology integration course in an online learning environment?” Independent-sample t-test to compared students’ project scores in interactive video condition and in the non-interactive video condition. The results of the Independent Samples Test showed that there was a significant difference in the scores for interactive condition (M=63.92, SD=7.166) compared to the non-interactive conditions (M=56.33, SD=8.550); t (25)= 2.46, p = 0.20.

Independent Samples Test results Table 1 The Mean scores and standard deviations for the Independent Samples Test results of the students test scores   Levene's Test t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. t df Sig. (2-tailed) MD SD Lower Upper Grades EV assumed .846 .367 2.457 25 .021 7.583 3.087 1.226 13.941 EVnot assumed 2.507 24.923 .019 3.025 1.352 13.815 Note: Means with different subscripts differ significantly at p<.005 level; d.f. = degrees of freedom; F = F-ratio; Sig. = Significant, SD = standard deviation, t = t-test.

RESULTS Second question: Do learning styles effect preservice teachers’ learning outcomes during learning from instructional video in a technology integration course in an online learning environment? Conducted a correlation coefficient The analysis showed that there was no correlation between preservice teachers’ learning style and their project scores during learning from instructional video (All learning styles learned equally)

Correlation Coefficient Table 2 The Pearson product-moment correlation coefficient   Learning Style Grades Pearson Correlation 1 .122 Sig. (2-tailed) .506 N 36 32 34 Note: the r differ significantly at p<.001

RESULTS Third question: Do preservice teachers’ learning outcomes differ according to their overall GPA after learning from instructional video in a technology integration course in an online learning environment? One-way between subjects ANOVA compared the effect of students’ overall GPA on their test scores after learning from instructional video. The results of the analysis indicates that there was no significant effect of students’ overall GPA on their test scores after learning from instructional video at the p<.05 level for all GPA levels [F (4, 27) = 1.214, p = 0.328].

One-way between subjects ANOVA Table 3 The one-way between subjects ANOVA results of the effect of students’ overall GPA on their test scores Grades   Sum of Squares df Mean Square F Sig. Between Groups 244.915 4 61.229 1.214 .328 Within Groups 1361.304 27 50.419 Total 1606.219 31 Note: Means with different subscripts differ significantly at p<.005 level. Type III SS = Sum of Squares; d.f. = degrees of freedom; M S = Mean Square; F = F-ratio; Sig. = Significant.

CONCLUSIONS The results suggest that the interactive video condition does have an effect on students’ project scores Regardless of students’ learning style, their project scores improved equally when they learn from instructional video Regardless of students’ GPA, their project scores improved equally when they learn from instructional video

Questions? Mohamed Ibrahim Rebecca A. Callaway Aileen Watts rcallaway@atu.edu  Aileen Watts awatts4@atu.edu Mohamed Ibrahim mibrahim1@atu.edu