1,720,961 research outputs found

    Computer educators' perception of the utilization of online assessment in the Covid‐19 era

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    The proliferation of ICT in today's world of work particularly in education has necessitated the need to assess lecturers' views of online assessment use in the covid‐19 era given the disruptions in face‐to‐face teaching and learning process. The study adopted a mixed research design. The population for the study was 84 computer educators made up of 40 males and 44 females from the four public tertiary institutions in Enugu State, Nigeria. Three research questions and two hypotheses guided the study. The instruments used for data collection were a structured questionnaire titled “Computer Educators' Perception of Use of Online Assessment” (CEPUOA) and a guided interview relating to the research questions. The internal consistency was determined using the Cronbach α reliability test which gave an index of .9. The data collected were analyzed using mean and standard deviation while the null hypotheses were tested using a t‐test at 0.05 level of significance. The findings of the study indicated that computer educators have a positive disposition toward the use of online assessment in conducting various assessment techniques such as tests/quizzes, semester examinations, and seminar/project evaluations. The findings of the study further showed that the utilization of online assessment techniques facilitates timely monitoring of students' progress, and the provision of immediate feedback to the learners helps in preparing students with digital skills required to function in the 21st‐century workplace, among others. In view of these, it was recommended that tertiary institutions should initiate workable policies that will encourage the effective use of online assessment by lecturers

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    INTEGRATING COMPUTER-ASSISTED INSTRUCTION IN QUANTITATIVE REASONING IN MIDDLE BASIC EDUCATION: AN IMPERATIVE TO REPOSITIONING EDUCATION FOR THE 4TH INDUSTRIAL REVOLUTION

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    As the Fourth Industrial Revolution (4IR) ushers in rapid technological advancements, the ability of pupils to engage in self-directed learning becomes increasingly crucial. To address the evolving educational landscape, this study investigates the impact of Computer Assisted Instruction (CAI) on enhancing the quantitative reasoning skills of middle school pupils. CAI is a method that leverages computers for instruction, progress tracking, and feedback. The research, conducted in the Enugu Education Zone of Enugu State, employed a quasi-experimental design, targeting 8924 middle basic two pupils across 98 schools during the 2019/2020 academic session. A sample of 490 pupils was selected using stratified, purposive, and simple random sampling techniques. The study utilized the Quantitative Reasoning Achievement Test (QRAT), a validated 40-item multiple-choice test with a reliability coefficient of 0.77 (KR-20). Data were analyzed using mean, standard deviation, and Analysis of Covariance (ANCOVA) at a 0.05 significance level. The findings indicate that pupils taught using CAI outperformed those taught through traditional methods. The study recommends the uniform implementation of CAI across schools in the Enugu Education Zone to standardize learning outcomes and ensure equitable instruction in quantitative reasoning amid the 4IR

    UTILIZATION OF INNOVATIVE EDUCATIONAL SOFTWARE BY MATHEMATICS AND COMPUTER SCIENCE LECTURERS IN TERTIARY INSTITUTIONS IN ENUGU STATE

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    The main purpose of the study was to ascertain the extent of utilization of innovative educational software by mathematics and computer science lecturers of tertiary institutions in Enugu state. Two research Questions were formulated to guide the study, while two null hypotheses were tested at p < 0.05. Descriptive survey research design was adopted for the study. The population for the study comprised 73 lecturers in ICT- related Departments in Enugu State public tertiary institutions. A researcher’s made structured questionnaire titled extent of utilization of Educational software Questionnaire (AUESQ) was used as the instrument for data collection. The instrument was face validated by three experts from the Department of Science and Computer Education; one expert in measurement and evaluation and the other two in computer Education all in Faculty of Education, Godfrey Okoye University. Reliability coefficient of 0.76 was obtained using Cronbach Alpha. The research questions were answered using mean and standard deviation. The hypotheses were tested with t-test and analysis at 0.05 level of significance. The findings revealed that the extent of utilization of Innovative educational software by mathematics and computer science lecturers in tertiary institutions in Enugu state was low. It was recommended among others that the management of tertiary institutions should organize regular workshop and conferences to equip mathematics and computer science lecturers with the relevant of ICT skills needed to compete with their contemporaries in developed countries of the world

    INTEGRATING COMPUTER-ASSISTED INSTRUCTION IN QUANTITATIVE REASONING IN MIDDLE BASIC EDUCATION: AN IMPERATIVE TO REPOSITIONING EDUCATION FOR THE 4TH INDUSTRIAL REVOLUTION

    No full text
    As the Fourth Industrial Revolution (4IR) ushers in rapid technological advancements, the ability of pupils to engage in self-directed learning becomes increasingly crucial. To address the evolving educational landscape, this study investigates the impact of Computer Assisted Instruction (CAI) on enhancing the quantitative reasoning skills of middle school pupils. CAI is a method that leverages computers for instruction, progress tracking, and feedback. The research, conducted in the Enugu Education Zone of Enugu State, employed a quasi-experimental design, targeting 8924 middle basic two pupils across 98 schools during the 2019/2020 academic session. A sample of 490 pupils was selected using stratified, purposive, and simple random sampling techniques. The study utilized the Quantitative Reasoning Achievement Test (QRAT), a validated 40-item multiple-choice test with a reliability coefficient of 0.77 (KR-20). Data were analyzed using mean, standard deviation, and Analysis of Covariance (ANCOVA) at a 0.05 significance level. The findings indicate that pupils taught using CAI outperformed those taught through traditional methods. The study recommends the uniform implementation of CAI across schools in the Enugu Education Zone to standardize learning outcomes and ensure equitable instruction in quantitative reasoning amid the 4I

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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