Big data management skills: accurate measurement
Abstract Some say that big data is transforming business and society. This can mean wide-reaching disruption for commerce, health and world governance. Few authors agree on what constitutes big data, depending on the philosophical stance taken. Our propensity for keeping data archived is posing majo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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The Asia-Pacific Society for Computers in Education (APSCE)
2018-05-01
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| Series: | Research and Practice in Technology Enhanced Learning |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s41039-018-0071-2 |
| _version_ | 1797714498415493120 |
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| author | Elspeth McKay Marlina Binti Mohamad |
| author_facet | Elspeth McKay Marlina Binti Mohamad |
| author_sort | Elspeth McKay |
| collection | DOAJ |
| description | Abstract Some say that big data is transforming business and society. This can mean wide-reaching disruption for commerce, health and world governance. Few authors agree on what constitutes big data, depending on the philosophical stance taken. Our propensity for keeping data archived is posing major issues globally, with retrieval and application of such data crossing ethical boundaries. However, one of the more pressing issues is the growing need for confirming whether those working with such big data have the required digital skills to cope. This paper presents one effective and efficient way to identify such digital skill acquisition. We show the progression from the earlier approach used for measuring proficiency between novice and experienced programmers using traditional statistical measures, to adopting a more comprehensive unidimensional scale that empowers comprehension of human performance and test-item performance relative to each other. This methodology offers an effective tool for understanding of individual differences in digital skill development. |
| first_indexed | 2024-03-12T07:52:50Z |
| format | Article |
| id | doaj.art-5d62dc5966394e2292138b0727379585 |
| institution | Directory Open Access Journal |
| issn | 1793-7078 |
| language | English |
| last_indexed | 2024-03-12T07:52:50Z |
| publishDate | 2018-05-01 |
| publisher | The Asia-Pacific Society for Computers in Education (APSCE) |
| record_format | Article |
| series | Research and Practice in Technology Enhanced Learning |
| spelling | doaj.art-5d62dc5966394e2292138b07273795852023-09-02T20:29:15ZengThe Asia-Pacific Society for Computers in Education (APSCE)Research and Practice in Technology Enhanced Learning1793-70782018-05-0113112410.1186/s41039-018-0071-2Big data management skills: accurate measurementElspeth McKay0Marlina Binti Mohamad1RMIT University, School of Business Information Technology and LogisticsDepartment of Engineering Education, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn MalaysiaAbstract Some say that big data is transforming business and society. This can mean wide-reaching disruption for commerce, health and world governance. Few authors agree on what constitutes big data, depending on the philosophical stance taken. Our propensity for keeping data archived is posing major issues globally, with retrieval and application of such data crossing ethical boundaries. However, one of the more pressing issues is the growing need for confirming whether those working with such big data have the required digital skills to cope. This paper presents one effective and efficient way to identify such digital skill acquisition. We show the progression from the earlier approach used for measuring proficiency between novice and experienced programmers using traditional statistical measures, to adopting a more comprehensive unidimensional scale that empowers comprehension of human performance and test-item performance relative to each other. This methodology offers an effective tool for understanding of individual differences in digital skill development.http://link.springer.com/article/10.1186/s41039-018-0071-2Big data management skillsDigital skills developmentCognitive performance measurementInstructional designHuman-computer interactionItem response theory |
| spellingShingle | Elspeth McKay Marlina Binti Mohamad Big data management skills: accurate measurement Research and Practice in Technology Enhanced Learning Big data management skills Digital skills development Cognitive performance measurement Instructional design Human-computer interaction Item response theory |
| title | Big data management skills: accurate measurement |
| title_full | Big data management skills: accurate measurement |
| title_fullStr | Big data management skills: accurate measurement |
| title_full_unstemmed | Big data management skills: accurate measurement |
| title_short | Big data management skills: accurate measurement |
| title_sort | big data management skills accurate measurement |
| topic | Big data management skills Digital skills development Cognitive performance measurement Instructional design Human-computer interaction Item response theory |
| url | http://link.springer.com/article/10.1186/s41039-018-0071-2 |
| work_keys_str_mv | AT elspethmckay bigdatamanagementskillsaccuratemeasurement AT marlinabintimohamad bigdatamanagementskillsaccuratemeasurement |