Computer anxiety and attitudes among undergraduate students in Greece

This study attempts to give an insight to the computer anxiety levels and attitudes toward computers of the students of the Library and Information Systems (LIS) Department of Technological Educational Institute (TEI) of Thessaloniki using Computer Anxiety Rating Scale (CARS) and Computer Attitudes Scale (CAS). Both constructs were examined using explanatory factor analysis. Internal consistency of the factors of each construct was satisfactory. It was found that there was a strong negative relationship between the two concepts. Canonical correlation analysis demonstrated that anxiety explains more variance of the attitudes than vice versa. Another finding was that most of LIS students were not anxious toward computers and with positive attitudes. Factors correlated negatively with anxiety and positively with attitudes, were knowledge of English language, PC ownership, access of students to computers at younger ages, perceived advanced computer skills and computer experience as reflected by frequency of computer use.     

Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale

Despite the growing role of computers in society, some individuals may actually avoid and resist learning about computers due to their anxiety. The present study was conducted in order to develop and validate the Computer Anxiety Rating Scale (CARS), by examining the behavioral, cognitive, and affective components of computer anxiety. The CARS was shown to be a reliable and valid measure. Higher levels of computer anxiety were related to greater math and test anxiety, and to less computer experience and mechanical interest. During an actual computer interaction, greater computer anxiety was associated with lower expectations and poorer task performance, as well as with greater state anxiety, reported physiological arousal, and debilitative thoughts. These results are consistent with a cognitive-attentional theory of computer anxiety and suggest directions for future research. Consistent differences between women and men on indices of computer anxiety were not found.     

Predictors of computer anxiety and performance in information systems

This paper reports on the results of a study of business undergraduates undertaking an introductory unit in information systems. The focus of the study was to determine whether or not perceived knowledge of software, microcomputer experience, overall knowledge of computers, programming experience, and biological sex were predictors of computer anxiety. Analysis was carried out to assess the factor structure and the discriminatory power of the Computer Anxiety Rating Scale (CARS).Previous computer experience is an important element of success in undergraduate courses in information systems. Computer anxiety is definitely implicated in performance. Sex in general was not found to be a predictor of computer anxiety. However, females with low levels of perceived knowledge of software and limited experience with computers were predominant in the failing subgroup.The CARS appears to have a very high discriminatory capability. The CARS is easy to use and efficient. It can be used to identify and assist students who present with significant anxiety about using microcomputers.     

Computer anxiety: A cross-cultural comparison of university students in ten countries

This study compared the construct of computer anxiety in university students across ten countries. A factor analysis of the Computer Anxiety Rating Scale (CARS) produced a three-factor model of computer anxiety (Interactive Computer Learning Anxiety, Consumer Technology Anxiety, and Observational Computer Learning Anxiety) for students in seven universities across the United States. The factor structures from students in nine countries (Australia, Czechoslovakia, Germany, Hungary, Israel, Italy, Japan, Spain, and Yugoslavia) were examined using Confirmatory Factor Analytic procedures. Each country's factor structure was first compared to the United States three-factor model and then modified to provide the best possible three-factor model of computer anxiety for each country. Results indicated that each country possessed a unique culture-dependent model of computer anxiety. For two countries (United States and Australia), Interactive Computer Learning Anxiety included learning to operate a computer plus encountering computer problems. For the eight other countries, Interactive Computer Learning Anxiety captured only the aspect of learning to operate and program computers while a separate Computer Victimization factor dealt with anxiety surrounding computer problems. The Observational Computer Learning Anxiety and the Consumer Technology Anxiety factors also differed between countries. Similarities and differences in the factor structures are discussed in light of cultural characteristics, computer education, and computer software and hardware.     

A multivariate comparison of computer anxiety levels between candidate and tenured school principals

School administrators should be able to follow technological advancements and promote the role of leadership with regard to technology in their institutions. However, affective factors such as computer anxiety might hinder administrators’ roles in this process. Therefore, this study investigated multivariate differences between candidate and tenured administrators on computer anxiety levels, after accounting for differences in age. The sample of the study included 216 candidates and 368 tenured school principals. The Computer Anxiety Scale and a set of demographic questions were used to collect the data. One-way multivariate analysis of covariance (MANCOVA) was performed on three dependent variables that are the three dimensions of computer anxiety (i.e., Affective Anxiety, Damaging Anxiety, and Learning Anxiety). Independent variable had two levels (i.e., candidate versus tenured administrators) and age was used as a covariate. Results showed multivariate significant differences. Candidate administrators reported higher levels of affective and learning anxiety compared to their tenured colleagues. We conclude that the sample of the study had accessibility and familiarity with computers; yet, showed different experiences. Finally, refinement is still needed in the area of computer anxiety and its relationships with other variables among educational administrators.     

Self-directedness in nontraditional college students: a behavioral factor in computer anxiety?

This paper reports on the results of a study of nontraditional undergraduate students enrolled in a business communication course. The focus of the study was to determine whether or not self-directedness in learner profile was a predictor of computer anxiety. Analysis was carried out to assess the factor structure of the Oddi Continuing Learning Inventory and Oetting's Computer Anxiety Scale. Self-directedness was indicated to be a predictor of computer anxiety in nontraditional college students.     

Effects of computer-based test administrations on test anxiety and performance

This study examined the degree to which computer and test anxiety had a predictive role in performance across three computer-administered placement tests (math, reading, written English). Subjects (72 college undergraduates at a Midwestern university) were measured with the Computer Anxiety Rating Scale, the Test Anxiety Inventory, the Myers-Briggs Type Indicator (MBTI), and the three achievement areas. Age and gender were added to the prediction model for completeness. Results showed that age and test anxiety were significant predictors for math performance, with lower values on the two variables associated with better performance. When reading was the outcome variable, age and computer anxiety were statistically significant performance predictors, with older readers faring better and less anxious individuals achieving higher scores. No predictors were statistically significant for the written English essay. The hypothesis that “thinkers” and “intuitives” on the MBTI would have lower anxiety scores was only partially confirmed. Thinkers had lower anxiety scores than “feelers,” but there was no difference on the intuitive-sensor dimension. The results suggest that much of what is considered computer anxiety may in fact be a manifestation of test anxiety. It is possible that, by giving examinees more perceived control, anxiety levels can be reduced.     

Computerized versus standard personality measures: Equivalency,computer anxiety,and gender differences

Undergraduate students were administered the Beck Depression Inventory (BDI) and Purpose in Life Test (PIL) in either paper-and-pencil or computer-administered format. Prior to administration, all subjects completed the Computer Anxiety Rating Scale (CARS). State-Trait Anxiety Inventory (STAI), and the Phobos Mathematics Anxiety Inventory (PHOBOS) in their original paper-and-pencil formats. For those subjects who received the personality tests via computer administration, high CARS scores were associated with higher BDI scores and lower PIL scores, even when state, trait, and mathematics anxiety were partialled out. The results suggest that standardized normative distributions on personality tests may not be applicable to computerized personality tests (CPT).     

Exploring the relationship between emotions and the acquisition of computer knowledge

Most computer users have to deal with major software upgrades every 6–18 months. Given the pressure of having to adjust so quickly and so often, it is reasonable to assume that users will express emotional reactions such as anger, desperation, anxiety, or relief during the learning process. To date, the primary emotion studied with respect to computer knowledge has been anxiety or fear. The purpose of the following study was to explore the relationship among a broader range of emotions (anger, anxiety, happiness, and sadness) and the acquisition of nine computer related skills. Pre- and post-surveys were given to 184 preservice education students enrolled in 8 month, integrated laptop program. Happiness was expressed most of the time – anxiety, anger, and sadness were reported sometimes. Anxiety and anger levels decreased significantly, while computer knowledge increased. All four emotions were significantly correlated with all nine computer knowledge areas at the beginning of the program, but happiness and anxiety were the only emotions significantly related to change in computer knowledge.     

Computerized versus standard personality measures: Equivalency, computer anxiety, and gender differences

Undergraduate students were administered the Beck Depression Inventory (BDI) and Purpose in Life Test (PIL) in either paper-and-pencil or computer-administered format. Prior to administration, all subjects completed the Computer Anxiety Rating Scale (CARS). State-Trait Anxiety Inventory (STAI), and the Phobos Mathematics Anxiety Inventory (PHOBOS) in their original paper-and-pencil formats. For those subjects who received the personality tests via computer administration, high CARS scores were associated with higher BDI scores and lower PIL scores, even when state, trait, and mathematics anxiety were partialled out. The results suggest that standardized normative distributions on personality tests may not be applicable to computerized personality tests (CPT).     

Computer anxiety: A cross-cultural comparative study of Dutch and Turkish university students

The purpose of this study is to determine Dutch and Turkish university students’ computer anxiety levels and to find out whether their computer anxiety levels differ according to their culture, gender and computer experience (i.e., personal computer (PC) ownership, computer usage frequency, computer usage level). A total of 106 university students (30 Dutch female, 22 Dutch male, 26 Turkish female, 28 Turkish male) participated in this research. The data were collected through computer anxiety rating scale (CARS) validated by Heinssen et al. [Heinssen, R. K., Glass, C. R., & Knight, L. A. (1987). Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3, 49–59]. The data were analyzed by t-test and one-way-analysis of variance (ANOVA). The results indicated that the Turkish students have significantly higher computer anxiety levels than the Dutch students. The students’ computer anxiety levels do not differ depending on gender. However, post-hoc analysis revealed that the Turkish female students have significantly higher computer anxiety levels than the Dutch female and Dutch male students. Also, results indicated that while the students’ computer experience increase their computer anxiety levels decrease significantly.     

Comparing attitudes towards computer usage by undergraduates from 1986 to 2005

The importance and use of computers has increased dramatically over the last two decades. The Attitudes Towards Computer Usage Scale (ATCUS) was developed in 1986 [Popovich, P. M., Hyde, K. R., Zakrajsek, T., & Blumer, C. (1987). The development of the attitudes toward computer usage scale. Educational and Psychological Measurement, 47, 261–269.] and used in a variety of settings over the years. In order to examine how computer attitudes have changed from 1986 to 2005, the ATCUS was given to 254 male and female current undergraduate students. When comparing the 1986 with 2005 results, the amount of time spent using a computer was still positively related to computer attitudes; however, the number of college computer courses was not. There is no longer a significant relationship among any of the factors with college computer courses. Males and females no longer significantly differ in their attitudes toward computers, number of college computer courses, amount of time spent using computers, or degree of self-reported computer anxiety. Implications are discussed.     

An evaluation of two clinically-derived treatments for technophobia

Technology is ubiquitous in our occupational, educational and leisure lives. A fear of interacting with technology can therefore have a major impact on the quality of an individual’s life. This is particularly salient within education as an inability to maximise the benefits of technology may limit academic achievement and subsequent opportunities in life. The severity of the anxiety induced by technology has lead to a plethora of research into the prevalence of ‘technophobia’. This term may have clinical relevance and has been found to be comparable in severity to more traditional phobias [Thorpe, S. J. &; Brosnan, M. (in press). Does computer anxiety reach levels which conform to DSM IV criteria for specific phobia? Computers in Human Behavior]. This paper presents two studies examining the effect of clinically-derived treatments upon levels of anxiety induced by technology. Study 1 was a 10-week selective desensitisation programme with 16 participants (eight computer anxious, eight non-anxious). Over this period computer anxiety and coping cognitions were significantly improved in the computer anxious group and become comparable to those of the matched non-anxious controls. Study 2 was a single treatment session for anxiety. Thirty individuals identified as anxious were assigned to either a one-session treatment (n = 9) or non-treatment (n = 21) group. Initially, both groups were significantly more anxious than the non-anxious control group (n = 59). Subsequent testing established that over the period of an academic year the reduction in anxiety was three times greater in the treated group than the non-treated group such that by the end of the year the treated group no longer differed from the control group, whereas the non-treated group remained significantly more anxious. The implications and limitations of the studies are discussed.     

Occupational differences in computer-related anxiety: implications for the implementation of a computerized patient management information system

The present investigation was concerned with the implementation of an information system within a health care setting. A large number of staff required training on a new patient management information system (MIS). The aim of this study was to assess occupational differences on a number of psychological variables associated with MIS success. Computer anxiety was of primary concern due to its relationship to avoidance of computers. A total of 175 questionnaires were distributed, with 103 questionnaires being completed and returned for analysis (61.1%). It was found that clerical/administrative staff had significantly higher self-efficacy regarding computer use and more experience with computers. The nursing group experienced significantly more, computer anxiety, negative attitudes, and negative expectations than the clerical group. Self-efficacy was found to be the best predictor of computer related anxiety. The results have implications for MIS implementation strategies particularly in the areas of training and resource allocation.     

Computer attitude in psychiatric inpatients

Negative computer attitude has been shown to be a possible co-variable in computerized examinations of psychiatric patients, affecting patient–computer interaction as well as reliability and validity of assessments.It remains still uncertain if the psychological construct of computer attitude can be dependably measured in acute psychiatric inpatients or whether it is impeded by the effects of mental illness. For that reason a German translation of the Groningen Computer Attitude Scale (GCAS) was evaluated in 160 acute psychiatric inpatients under naturalistic conditions.General test criteria (internal structure, item analysis, internal consistency, split half reliability) to a large extent corresponded to those formerly found in healthy subjects and psychiatric outpatients. The mean GCAS score was calculated as 56.2 ± 10.8 points and a significantly better computer attitude was found in male, better educated and younger patients. Some diverging correlation patterns were found in diagnostic subgroups, indicating a possible minor impact of mental disorder on computer attitude.Overall, the GCAS was found to be a suitable instrument for measuring computer attitude in acute psychiatric inpatients. It should be used in identifying patients with a negative attitude to computers in order to ensure reliability and validity of computerized assessment.     

独立学院计算机专业英语课程的教学方法研究

计算机专业英语课程是计算机专业的一门分支学科,重点培养学生综合应用性能力、关键技术的认识和多媒体在各个领域中的制作和技能。从目前独立学院计算机专业英语教学的情况来看,存在诸多问题,该文对此进行了探讨。     

The changing construct of computer anxiety for younger and older adults

A revalidation of a previously developed computer anxiety scale (Marcoulides, 1989) indicated changes in the factor structure for both younger and older adults. Two factors emerged — Direct and Indirect Involvement with computers — as compared with the previous two factors of General Computer Anxiety and Equipment Anxiety. This suggests that the construct of computer anxiety may have changed, perhaps because of the rapid changes in computers and the technological environment. Additional results showed that, while the factor structure was similar for younger and older adults, two items differentially loaded on the two factors. These results suggest the need for further examination of computer anxiety with older adults, with the possibility of developing computer anxiety scales specifically for older adults.     

Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance

Computer self-efficacy (CSE) is a person's judgment of his or her ability to use a computer system. We investigated cognitive engagement, prior experience, computer anxiety, and organizational support as determinants of CSE in the use of a multimedia ERP system's training tool. We also examined the impact of CSE on its acceptance. We determined the benefits of a sequential multi-method approach using structural equation modeling and neural network analysis. High reliability predictions of individual CSE were achieved with a sequential multi-method approach. Specifically, we obtained almost 68% perfect CSE group prediction overall, with almost 85% perfect CSE group prediction using fuzzy sets and over 94% accuracy within one group classification. The resulting CSE assessment and classification enables management interventions, such as allocating users to appropriate instruction for more effective training.     

学科交叉融合对计算机基础教学的新挑战

学科交叉融合是现代世界一流大学注重培养的新思路,也越来越受到普通高校教学研究者们的重视。《大学计算机基础》课程则是高校教改的重点和难点。就如何在《大学计算机基础》课程中引入新的教学思路,让学科交叉融合能在高等教育的开展之初就能融入到大学生的学习和研究中,进行部分实践和探索。随着计算机在现代科学研究中的重要性越来越突出,计算机教学改革势在必行。