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                    [id_jnl] => 10
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    [1] => stdClass Object
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            [section] => stdClass Object
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                    [section] => 145
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    [2] => stdClass Object
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            [title] => Array
                (
                    [0] => A systematic model to evaluate the academic productivity of Brazilian faculty undergraduate courses@en
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => In an increasingly competitive scenario in the Higher Education segment, Higher Education Institutions (HEI) have been looking for ways to manage the productivity indicators of their undergraduate courses, in order to meet the criteria established by the National Institute of Studies and Research Educational Institutions Anísio Teixeira (INEP). Thus, this paper aims to present a systematic model to evaluate the academic productivity of Brazilian faculty undergraduate courses, considering the indicators proposed by INEP. The academic productivity criteria were quantitatively and qualitatively evaluated using Scriptemec, a tool developed exclusively to measure the academic data of undergraduate faculty. As a contribution, it reinforces the construction of a systematic model to assist in the automation and continuous monitoring of academic productivity in undergraduate courses, presenting a computational tool that assists in this process, as well as a dashboard for managerial control in Brazilian HEIs.@en
                )

        )

    [4] => stdClass Object
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            [author] => Array
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                    [0] => Marcus Vinicius Cesso
                    [1] => Renato Ribeiro Nogueira Ferraz
                    [2] => Wonder Alexandre Luz Alves
                    [3] => Saulo Daniel Santos
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Scriptemec@en
                    [1] => Undergraduate courses@en
                    [2] => Academic productivity@en
                    [3] => Performance management@en
                    [4] => Innovation in education@en
                    [5] => Higher education evaluation@en
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 48
                    [nr] => 1
                    [year] => 2019
                    [theme] => 
                )

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    [7] => stdClass Object
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            [datePub] => Array
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                    [0] => 2019-05-03
                )

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    [8] => stdClass Object
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            [DOI] => Array
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                    [0] => stdClass Object
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                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.18225/ci.inf.v48i1.4455
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.18225/ci.inf.v48i1.4455.g4105
                                )

                        )

                )

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                                    [0] => https://revista.ibict.br/ciinf/article/view/4455
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                                    [0] => https://revista.ibict.br/ciinf/article/view/4455/4105
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    [10] => stdClass Object
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            [language] => Array
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                    [0] => en
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        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => stdClass Object
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                            [@xml:lang] => pt-BR
                            [#text] => Copyright (c) 2019 Marcus Vinicius Cesso, Renato Ribeiro Nogueira Ferraz, Wonder Alexandre Luz Alves, Saulo Daniel Santos
                        )

                )

        )

)