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Computer Attitude and Computer Self-Efficacy: A Case Study of Thai Undergraduate Students Jantawan Noiwan Thawatchai Piyawat Anthony F. Norcio HCI International 2005 22-27 July 2005 Las Vegas, Nevada USA
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Agenda Research questions Respondents Instrumentation Results Computer and Internet usage Computer and Internet usage Computer attitude Computer attitude Computer self-efficacy Computer self-efficacy Discussion
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Research questions What are the levels of computer attitude and computer self-efficacy? Are there significant relationships among computer attitude subscales? Are there significant relationships among computer self-efficacy subscales? Are there significant relationships among computer attitude subscales and computer self- efficacy subscales? Do different computer skills affect different levels of computer attitude and computer self-efficacy?
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Respondents 151 Thai undergraduate students 24% = males and 76 % = females The average age is 18.36 years old. The majority of the students (74.2%) are freshmen majoring in accounting.
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Instrumentation Thai survey with 5 sections demographic information, demographic information, computer and Internet usage, computer and Internet usage, computer trainings, computer trainings, computer attitude, and computer attitude, and computer self-efficacy computer self-efficacy
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Instrumentation (Cont’) To evaluate computer attitudes Survey developed by Loyd & Loyd (1985) 40 Likert-scale items in four subscales computer anxiety, computer anxiety, computer confidence, computer confidence, computer liking, and computer liking, and computer usefulness computer usefulness 1 = strongly disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, and 5 = strongly agree
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Instrumentation (Cont’) To measure computer self-efficacy Survey developed by Kinzie, et al. (1994) 46 questions Six sub-sections word processing, e-mail, database management, spreadsheet, statistic, and presentation software word processing, e-mail, database management, spreadsheet, statistic, and presentation software 1 = strongly disagree, 2 = disagree, 3 = neither agree nor disagree, 4 = agree, and 5 = strongly agree
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Results - Computer and Internet Usage 43% have neutral typing skills, 43% have slow skills 50% have moderate computer skills, 47% have less skills 30% have 2-3 years of Internet usage, 36% more than 3 yrs 38% use Word once/week 36% use Email once/week 47% use Web once/week 39% use Spreadsheet once/year 66% never use DBMS 89% never use Statistical package 40% use presentation software once/yr
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Results – Computer Attitude (1) SubscalesMeanSD 1. Computer anxiety3.690.57 2. Computer confidence3.440.46 3. Computer liking3.640.47 4. Computer usefulness4.140.35 Overall3.730.39 Table 1: Mean and SD of Computer Attitude
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Results – Computer Attitude (2) Table 2: Correlations of Computer Attitude Subscales Variables123 1. Computer anxiety 2. Computer confidence0.77** 3. Computer liking0.72**0.73** 4. Computer usefulness0.42**0.47**0.54** *p<.05, **p<.01, ***p<.001
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Results – Computer Self-Efficacy (1) Table 3: Mean and SD of Computer Self-Efficacy SubscalesMeanSD 1. Word processing software3.850.65 2. E-mail4.090.86 3. Spreadsheet software3.170.92 4. Database management software2.530.96 5. Statistical package2.230.86 6. Presentation software3.381.08 Overall3.280.56
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Results – Computer Self-Efficacy (2) Table 4: Correlations of Computer Self-Efficacy Subscales Subscales12345 1. Word processing 2. E-mail0.52** 3. Spreadsheet software0.47**0.23** 4. DBMS0.140.120.42** 5. Statistical package-0.070.000.26**0.68** 6. Presentation software0.42**0.27**0.44**0.32**0.31** *p<.05, **p<.01, ***p<.001
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Results – Computer Attitude & Computer Self-Efficacy Table 5: Correlations of Computer Attitude and Computer Self-Efficacy Subscales AnxietyLikingConfidenceUsefulnes Word processing software0.53**0.44**0.49**0.27** E-mail0.48**0.34**0.39**0.21** Spreadsheet software0.40**0.33**0.40**0.15 Database management0.24**0.16**0.25**-0.08 Statistical package0.110.030.07-0.13 Presentation software0.36**0.27**0.35**0.08 *p<.05, **p<.01, ***p<.001
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Discussion – Computer Attitude Respondents possess moderately positive attitudes toward computers. Novices have lower levels of computer attitude and computer self-efficacy than do moderate- skill users. Reasonably low anxiety in using computers High level of perceived usefulness of computers Tend to like using computers Need to provide more computer trainings Maintain students’ positive computer attitudes by providing a pleasant learning environment.
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Discussion – Computer Self-Efficacy Respondents possess neutral computer self- efficacy. Reasonably high levels are found in e-mail and word processing activities. Moderately low levels are discovered at statistical software and database management software. Task complexity may influence computer self- efficacy. Moderate, positive relationships between computer anxiety, computer liking, and computer confidence and self-efficacies in using word processing, e-mail, and spreadsheet are evident.
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