Academic Journal

Does iPad use support learning in students aged 9–14 years? A systematic review.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Does iPad use support learning in students aged 9–14 years? A systematic review.
Συγγραφείς: Boon, Helen J., Boon, Lucy, Bartle, Toby
Πηγή: Australian Educational Researcher (Springer Science & Business Media B.V.); Jul2021, Vol. 48 Issue 3, p525-541, 17p
Θεματικοί όροι: Classrooms, Students, Learning, Educational planning, Teaching aids, Teachers
Περίληψη: This systematic literature review sought to examine whether iPad or other mobile technology use by school students aged 9 to 14 years enhanced academic outcomes. Conducted in March 2019 using the PRISMA statement, the review identified 43 studies published between 2010 and 2019 which specifically addressed the research question. Findings revealed that iPad use for specific school learning areas such as mathematics, English, science, and the like has not consistently enhanced academic outcomes. Some reviewed papers also indicated that teachers were not always employing the technology most effectively. To defend the current extensive classroom use of mobile technology such as iPads, further research employing within-subject designs must be conducted. Such research must assess the efficacy of iPad use for attaining specific content area outcomes against pedagogies which utilise paper reading, handwriting and/or other manipulations of teaching materials. Moreover, teacher professional learning needs to be provided so that when teachers use iPads in classrooms they are able to deploy them in the most appropriate way. [ABSTRACT FROM AUTHOR]
Copyright of Australian Educational Researcher (Springer Science & Business Media B.V.) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  – Url: https://dx.doi.org/doi:10.1007/s13384-020-00400-0
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  Data: Does iPad use support learning in students aged 9–14 years? A systematic review.
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  Data: Australian Educational Researcher (Springer Science & Business Media B.V.); Jul2021, Vol. 48 Issue 3, p525-541, 17p
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  Data: This systematic literature review sought to examine whether iPad or other mobile technology use by school students aged 9 to 14 years enhanced academic outcomes. Conducted in March 2019 using the PRISMA statement, the review identified 43 studies published between 2010 and 2019 which specifically addressed the research question. Findings revealed that iPad use for specific school learning areas such as mathematics, English, science, and the like has not consistently enhanced academic outcomes. Some reviewed papers also indicated that teachers were not always employing the technology most effectively. To defend the current extensive classroom use of mobile technology such as iPads, further research employing within-subject designs must be conducted. Such research must assess the efficacy of iPad use for attaining specific content area outcomes against pedagogies which utilise paper reading, handwriting and/or other manipulations of teaching materials. Moreover, teacher professional learning needs to be provided so that when teachers use iPads in classrooms they are able to deploy them in the most appropriate way. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Australian Educational Researcher (Springer Science & Business Media B.V.) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul2021
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