Evaluation Results of OP4L Learning Environment and Services in Slovenia Maribor, May 2012 Bar, Montenegro, 25 th – 26 th June Ines Kožuh, prof. dr. Matjaž.

Slides:



Advertisements
Similar presentations
Methodology and Explanation XX50125 Lecture 1: Part I. Introduction to Evaluation Methods Part 2. Experiments Dr. Danaë Stanton Fraser.
Advertisements

Kruskal Wallis and the Friedman Test.
INFERENTIAL STATISTICS. Descriptive statistics is used simply to describe what's going on in the data. Inferential statistics helps us reach conclusions.
PSY 340 Statistics for the Social Sciences Chi-Squared Test of Independence Statistics for the Social Sciences Psychology 340 Spring 2010.
Decision Tree Type of Data Qualitative (Categorical) Type of Categorization One Categorical Variable Chi-Square – Goodness-of-Fit Two Categorical Variables.
1 A Comparison of Traditional, Videoconference-based, and Web-based Learning Environments A Dissertation Proposal by Ming Mu Kuo.
Materials and methods Sadeghi Ramin, MD Nuclear Medicine Research Center, Mashhad University of Medical Sciences.
Team Bivariate Chris Bulock Chris Bulock Michael Mackavoy Michael Mackavoy Jennifer Masunaga Jennifer Masunaga Ann Pan Ann Pan Joe Pozdol Joe Pozdol.
Spearman Rho Correlation
A Coach’s Communication Strategy and its Relationship to a Collegiate Player’s Motivation to Perform as an Athlete Dana Neil, Andrea Pendergast, Amy Schmidt,
Statistics Idiots Guide! Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM.
Chapter 9 Correlational Research Designs
Falah-ud-Din Butt, Dr. Niaz Ahmed Bhutto & Ghulam Abbas
Statistics for the Social Sciences Psychology 340 Fall 2013 Thursday, November 21 Review for Exam #4.
COPYRIGHT WESTED, 2010 Calipers II: Using Simulations to Assess Complex Science Learning Diagnostic Assessments Panel DRK-12 PI Meeting - Dec 1–3, 2010.
Copyright © 2008 by Pearson Education, Inc. Upper Saddle River, New Jersey All rights reserved. John W. Creswell Educational Research: Planning,
The Effect of Quality Matters™ on Faculty’s Online Self-efficacy DLA Conference 2010 Jim Wright, Ed.S. June 9, 2010.
Dianne Davies English Department Innsbruck University Davies: IATEFL TEA SiG, Innsbruck Sept 2011 IS IT ALL IN THE BLEND?
University of Maribor, Faculty of Electrical Engineering and Computer Science, Review of the evaluation methods.
Evaluating a Blended Course of Methodology of Social Research II Michela Freddano University of Genova (Italy)
Statistics 11 Correlations Definitions: A correlation is measure of association between two quantitative variables with respect to a single individual.
The Quality of Solutions to Open-Ended Problem Solving Activities and its Relation to First-Year Student Team Effectiveness Tamara J. Moore Heidi A. Diefes-Dux.
Presenter : Ching-ting Lin Instructor: Ming-puu Chen Developing a Usability Evaluation Method for E-learning Application: From Functional Usability to.
TAUCHI – Tampere Unit for Computer-Human Interaction ERIT 2015: Data analysis and interpretation (1 & 2) Hanna Venesvirta Tampere Unit for Computer-Human.
EDLD 6392 Advanced Topics in Statistical Reasoning Texas A&M University-Kingsville Research Designs and Statistical Procedures.
Experimental Research Methods in Language Learning Chapter 11 Correlational Analysis.
Mobile commerce services in Slovenia from user’s point of view Uroš Hribar, univ.dipl.org eCommerce Center Faculty of Organizational Sciences University.
Friends (Temporarily) Forever: Frequency of Facebook Use, Relationship Satisfaction, and Perception of Friendship Zack Hayes, Jerad Hill, Heather Jacobson,
THE RELATIONSHIP BETWEEN PRE-SERVICE TEACHERS’ PERCEPTIONS TOWARD ACTIVE LEARNING IN STATISTIC 2 COURSE AND THEIR ACADEMIC ACHIEVEMENT Vanny Septia Efendi.
ITEC6310 Research Methods in Information Technology Instructor: Prof. Z. Yang Course Website: c6310.htm Office:
 METHODOLOGY 1. Subjects 2. Instruments 3. Procedures 4. Data Analysis 4. Data Analysis The Questionnaire The Oral Production Testing Material The Written.
What is SPSS  SPSS is a program software used for statistical analysis.  Statistical Package for Social Sciences.
L. Liu PM Outreach, USyd.1 Survey Analysis. L. Liu PM Outreach, USyd.2 Types of research Descriptive Exploratory Evaluative.
EDCI 696 Dr. D. Brown Presented by: Kim Bassa. Targeted Topics Analysis of dependent variables and different types of data Selecting the appropriate statistic.
Chapter 13 CHI-SQUARE AND NONPARAMETRIC PROCEDURES.
Experimental Research Methods in Language Learning Chapter 10 Inferential Statistics.
Reasoning in Psychology Using Statistics Psychology
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 12 Testing for Relationships Tests of linear relationships –Correlation 2 continuous.
Week 2 The lecture for this week is designed to provide students with a general overview of 1) quantitative/qualitative research strategies and 2) 21st.
Analyzing and Interpreting Quantitative Data
Ashley Hofer, Britni Welsh, Caitlin Shuda, Danielle Geheran, Emily Amundson, Kelsey JuVette, Zachary Bowers  Faculty Mentor: Nicole J. Schultz, Ph.D.
EDIT 590 Research Proposal Allison Czapracki LaTanger Gray Rashmi Jain April
Tuesday PM  Presentation of AM results  What are nonparametric tests?  Nonparametric tests for central tendency Mann-Whitney U test (aka Wilcoxon rank-sum.
Remember You just invented a “magic math pill” that will increase test scores. On the day of the first test you give the pill to 4 subjects. When these.
Measurement Experiment - effect of IV on DV. Independent Variable (2 or more levels) MANIPULATED a) situational - features in the environment b) task.
1 Week 3 Association and correlation handout & additional course notes available at Trevor Thompson.
PART 2 SPSS (the Statistical Package for the Social Sciences)
Power Point Slides by Ronald J. Shope in collaboration with John W. Creswell Chapter 7 Analyzing and Interpreting Quantitative Data.
STATISTICAL TESTS USING SPSS Dimitrios Tselios/ Example tests “Discovering statistics using SPSS”, Andy Field.
Wikis supporting research workshops in higher education Prospective use in Cuban universities MSc. Roberto C. Rodríguez-Hidalgo Prof. Dr. Aida M. Torres-Alfonso.
Empirical Evaluation of Web Survey Software Tools: Powerful or Friendly? Vasja Vehovar, Nejc Berzelak, Katja Lozar Manfreda, Tina Horvat University of.
The Basics of Social Science Research Methods
Spearman Rho Correlation
SPSS: Using statistical software — a primer
University of Latvia, Latvia
Presentation of the University of Maribor – Faculty of Electrical Engineering and Computer Science Maribor, Slovenia The role in the project Trans2Work.
Research Brief: Mapping A Strategy to Attract the Politically Engaged Student to East Evergreen University Consultants: Elizabeth Goff Scott Gravitt Kim.
The Most Gracious and The Most Merciful.
Dr. Siti Nor Binti Yaacob
SPSS OUTPUT & INTERPRETATION
CJ 526 Statistical Analysis in Criminal Justice
SPSS OUTPUT & INTERPRETATION
Spearman Rank Order Correlation Example
Spearman Rho Correlation
Emma Senior & Mark Telford.
Indiana University School of Social Work
THE RELATIONSHIP BETWEEN PRE-SERVICE TEACHERS’ PERCEPTIONS TOWARD ACTIVE LEARNING IN STATISTIC 2 COURSE AND THEIR ACADEMIC ACHIEVEMENT Vanny Septia Efendi.
An Empirical Study of Learning Strategy Use by Differently Proficient Students in a Web-based Environment Wang Zhiru.
Faculty of Industrial Management CONCLUSIONS AND RECOMMENDATION
COMPARING VARIABLES OF ORDINAL OR DICHOTOMOUS SCALES: SPEARMAN RANK- ORDER, POINT-BISERIAL, AND BISERIAL CORRELATIONS.
Presentation transcript:

Evaluation Results of OP4L Learning Environment and Services in Slovenia Maribor, May 2012 Bar, Montenegro, 25 th – 26 th June Ines Kožuh, prof. dr. Matjaž Debevc

Research detailes The aim of our study: test OP4L learning environment and its services, assess students‘ relationship with collaborative learning evaluation: before testing OP4L learning environment after testing OP4L learning environment Company LOGO

Participants Computer Science students -1st year (Faculty of Electrical Engineering and Computer Science), volunteers signed consent form, 62 participants all male, age in years (Mdn = 20, Mean = 20.73, Min = 19, Max = 25), experience in programming. Company LOGO

Participants experience in programming (5 levels) Company LOGO

Procedure Three weeks in May 2012 Two classroom meetings: 1st meeting: before testing, instructions were given, questionnaires were filled in, 2nd meeting: after testing, questionnaires were filled in, The task: brainstorming, submission of proposed idea, programming, submission of the program, assessment of the program. Company LOGO

Measures Quantitative research metod (questionnaires), Evaluation before testing OP4L: A questionnaire on the habits of using Facebook, Facebook chat and Web resources, Evaluation after testing OP4L: A questionnaire on the habits of using Facebook, Facebook chat and Web resources (the same as before testing), A questionnaire on the experience in OP4L learning environment, A questionnaire on collaborative learning and using Facebook in favor of collaborative learning, A questionnaire on the usability of OP4L learning environment (SUS), Motivated strategies on learning questionnaire (MSLQ). Company LOGO

Measures Likert-type questions and open-ended questions questionnaires were put online. Company LOGO

Statistical analysis Descriptive statistics, definition of statistically significant relationships (Spearman‘s Rho coefficient), Kruskal-Wallis Test (differences among independent samples), SPSS Company LOGO

Results Habits of using Facebook, chat and Web resources Comparison of the results before and after the study Company LOGO

Results Habits of using Facebook, chat and Web resources Company LOGO

Results Habits of using Facebook, chat and Web resources Company LOGO

Results Experience in OP4L learning environment Assessment of OP4L services: Recommended peers (idea vs. usage) Recommended readings (idea vs. usage) idea – from pedagogical and functional point of view usage – from pedagogical and functional point of view, technical operation IdeaUsage Nr of questions Cronbach‘s Alpha Nr of questions Cronbach‘s Alpha Recommended peers Recommended readings

Results Experience in OP4L learning environment Company LOGO

Results Usability of OP4L learning environment (SUS) SUS score = Company LOGO Source: A. Bangor, P. Kortum, J.A. Miller, The System Usability Scale (SUS): An Empirical Evaluation, International Journal of Human-Computer Interaction, 24, (2008), 6, pp. 574 ‒ 594.

Results Opinions on usability of OP4L learning environment Bad responsiveness of the system. Too many clicks were needed to be able to come to the task. Problems with submitting and assessing the tasks. Communication with others was too complicated. Company LOGO

Results Correlations between usability and OP4L services Company LOGO Correlations (1)(2)(3)(4)(5) (1) System usability Correlation Coefficient1, **.505 **.465 **.581 ** Sig. (2-tailed)..000 (2) Idea Recommended Peers Correlation Coefficient **.449 **.401 ** Sig. (2-tailed) (3) Usage Recommended Peers Correlation Coefficient 1, **.656 ** Sig. (2-tailed) (4) Idea Recommended Readings Correlation Coefficient ** Sig. (2-tailed)..000 (5) Usage Recommended Readings Correlation Coefficient 1,000 Sig. (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

Results Collaborative learning and using FB in learning assessment of collaborative learning, assessment of using Facebook in learning, Company LOGO Number of questions Cronbach‘s Alpha Collaborative learning7.869 Facebook in learning4.868

Results Correlations among three variables Company LOGO Correlations (1)(2)(3) (1) Affinity for collaborative learning Correlation Coefficient **.352 ** Sig. (2-tailed) (2) Affinity for using FB for solving complex problems Correlation Coefficient ** Sig. (2-tailed)..001 (3) Frequency of using FB for solving complex problems Correlation Coefficient Sig. (2-tailed). **. Correlation is significant at the 0.01 level (2-tailed).

Results Dispersion of data for two variables Company LOGO

Results Differences among groups in knowledge of programming Company LOGO Ranks Knowledge of programming NMean Rank Affinity for collaborative learning Affinity for using FB for solving complex problems Test Statistics a,b Affinity for collaborative learning Affinity for using FB for solving complex problems Chi-Square df22 Asymp. Sig a. Kruskal Wallis Test b. Grouping Variable: Knowledge of programming

Results MSLQ – Motivational strategies Company LOGO N = 58 students

Results MSLQ – Motivational strategies Company LOGO N = 58 students

Results MSLQ – Learning strategies Company LOGO N = 58 students

Results MSLQ – Learning strategies Company LOGO N = 58 students

Contact University of Maribor, Faculty of Electrical Engineering and Computer Science, Smetanova 17, 2000 Maribor Ines Kožuh prof. dr. Matjaž Debevc Company LOGO