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Descriptive statistics (percentages, mean, standard deviation) and inferential methods (factor analysis, independent samples t-test, Pearson correlation, multiple regression) were applied to the collected data. Results showed computer attitude was multidimensional, gender differences were significant, and affective components, self-efficacy, perceived control, and perceived usefulness contributed significantly. Academic institutions were urged to address computer anxiety and reduce it to enable positive e-learning experiences.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/attitudes-towards-computer-and-computer-self-efficacy-as-predictors-of-preservice-mathematics-teachers-computer-anxiety/588735/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/attitudes-towards-computer-and-computer-self-efficacy-as-predictors-of-preservice-mathematics-teachers-computer-anxiety/588735.png","ImageObject",300,407,{"name":42,"@type":43},"Rizky","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-31","2026-10-15",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",6,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What was the purpose of the study?","Question",{"text":63,"@type":64},"The study investigated whether attitudes toward computers and computer self-efficacy predict computer anxiety among preservice mathematics teachers.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How was the research conducted and analyzed?",{"text":68,"@type":64},"The study used a quantitative descriptive survey design with 310 participants, applying descriptive statistics and inferential analyses including factor analysis, t-tests, correlation, and multiple regression.",{"name":70,"@type":61,"acceptedAnswer":71},"What were the key findings about computer anxiety predictors?",{"text":72,"@type":64},"Computer attitude was multidimensional, gender differences were significant, and affective components, computer self-efficacy, perceived control, and perceived usefulness significantly explained variance in computer anxiety.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},588735,1792167617,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},962085564807,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","ATTITUDES TOWARDS COMPUTER AND COMPUTER SELF-EFFICACY AS PREDICTORS OF PRESERVICE MATHEMATICS TEACHERS’COMPUTER ANXIETY  \nAdeneye O. A. Awofala, Sabainah O. Akinoso, Alfred O. Fatade  \nAbstract: The study investigated attitudes towards computer and computer self-efficacy as predictors of computer anxiety among 310 preservice mathematics teachers from five higher institutions of learning in Lagos and Ogun States of Nigeria using the quantitative research method within the blueprint of the descriptive survey design. Data collected were analysed using the descriptive statistics of percentages, mean, and standard deviation and inferential statistics of factor analysis, independent samples t-test, Pearson product moment correlation coefficient and multiple regression analysis. Finding revealed that attitude toward computer assessed by the attitudes towards computer scale was a multi-dimensional construct (affective, perceived usefulness, behavioural intention and perceived control component) . Gender differences in attitude toward computer and computer anxiety among preservice mathematics teachers were significant. Affective component, computer self-efficacy, perceived control component, and perceived usefulness component made statistically significant contributions to the variance in preservice mathematics teachers’ computer anxiety. The study recommended among others that academic institutions should pay more attention to this computer anxiety and adopt proper ways of reducing the computer anxiety, so that positive e-learning experiences can be created for preservice teachers.  \nKey words: Computer attitude, computer self-efficacy, computer anxiety, preservice mathematics teacher.  \n1. Introduction  \nFeeling nervous about a situation is referred to as anxiety. Many people feel nervous when faced with a problem at work, before taking a test, or making an important decision. Also, students are afraid of some courses like mathematics, computer or any course that is mathematically oriented. Meanwhile, the use of ICT in education pervades all levels of education especially at the tertiary level. Before students can gain admission to any tertiary institution, purchase of form and registration are done online while entrance examination is done on computer. In higher institutions, ICT is increasingly used as a means of delivering subject matter contents. Some educational institutions have added online learning and blended learning models to the face-to-face education to broaden their scope of delivering education to their clienteles (Senzige & Sarukesi, 2001) .  \nConsequently, a senior secondary school student aspiring to have a university education must possess basic knowledge and skills in ICT. It is, therefore, incumbent on senior secondary school students not only to possess adequate competence in ICT but also possess positive attitudes toward the learning of the subject to enable them have fruitful education when they eventually gain admission into tertiary institutions. There are different symptoms of anxiety like feelings of panic, fear and sweaty hands or feet, shortness of breath heart palpitations, dried mouth and tingling in the  \nhands or feet but the cause of anxiety is not known but could be caused by combination of factors like change in brain and environmental stress.  \nComputer anxiety is the feeling uncomfortable when using computer. The anxious person may have some negative thoughts, sweaty hand and increased heart rate or want to avoid working with a computer. One may have operational anxiety which includes previous experiences, frequency of computer use and having a personal computer. Sociological anxiety is in form of gender, age, ethnicity, academic major, nationality and socio-economic status, while psychological anxiety include attitude toward computers, self-perception, self-efficacy and personality types. Students with positive thought about computer will see errors when committed as a challenge to be beaten, e","cbCaifT5KGxJovM6","https://ap.wps.com/l/cbCaifT5KGxJovM6","pdf",493688,18,"English","# Introduction\n## Background and rationale\n## Definitions and dimensions of anxiety\n## Prior research and link to technology use\n## Role of self-efficacy","[{\"question\":\"What was the purpose of the study?\",\"answer\":\"The study investigated whether attitudes toward computers and computer self-efficacy predict computer anxiety among preservice mathematics teachers.\"},{\"question\":\"How was the research conducted and analyzed?\",\"answer\":\"The study used a quantitative descriptive survey design with 310 participants, applying descriptive statistics and inferential analyses including factor analysis, t-tests, correlation, and multiple regression.\"},{\"question\":\"What were the key findings about computer anxiety predictors?\",\"answer\":\"Computer attitude was multidimensional, gender differences were significant, and affective components, computer self-efficacy, perceived control, and perceived usefulness significantly explained variance in computer anxiety.\"}]","ATTITUDES TOWARDS COMPUTER AND COMPUTER SELF-EFFICACY AS PREDICTORS OF PRESERVICE MATHEMATICS TEACHERS’ COMPUTER ANXIETY | PDF",1792065833,45]