Learning motivation for slow learners with tablet technology
Vertically Aligned Carbon Nanotube arrays (also termed as VACNTs or CNT forest) have recently found to be transformable to a reflective mirror from a naturally black absorber. The feature of improved reflectance can be attained by the controllable tip bending process using the bottom surface of a...
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2018
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| Online Access: | http://irep.iium.edu.my/68093/ http://irep.iium.edu.my/68093/1/68093_Learning%20motivation%20for%20slow%20learners%20with%20tablet%20technology.pdf |
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iium-680932019-01-14T07:52:58Z http://irep.iium.edu.my/68093/ Learning motivation for slow learners with tablet technology Hassan, Azizzeanna Mahmud, Murni QA75 Electronic computers. Computer science QA76 Computer software Vertically Aligned Carbon Nanotube arrays (also termed as VACNTs or CNT forest) have recently found to be transformable to a reflective mirror from a naturally black absorber. The feature of improved reflectance can be attained by the controllable tip bending process using the bottom surface of a rotated cylindrical tool (the process called micro-mechanical bending (M2B)). In this paper, the polarized light reflectance of bent and compacted region of the CNT forest using M2B method has been investigated. We observed that reflectance from the processed CNT zone was highly dependent on the angle of incidence and polarization state of the incident laser. For the first time, the refractive index of the tip bent CNT forests by M2B method was investigated and found to be in a range of ∼1.8. 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/68093/1/68093_Learning%20motivation%20for%20slow%20learners%20with%20tablet%20technology.pdf Hassan, Azizzeanna and Mahmud, Murni (2018) Learning motivation for slow learners with tablet technology. International Journal for Studies on Children, Women, Elderly And Disabled, 5 (10). pp. 201-210. E-ISSN 0128-309X |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA75 Electronic computers. Computer science QA76 Computer software |
| spellingShingle |
QA75 Electronic computers. Computer science QA76 Computer software Hassan, Azizzeanna Mahmud, Murni Learning motivation for slow learners with tablet technology |
| description |
Vertically Aligned Carbon Nanotube arrays (also termed as VACNTs or CNT forest) have recently found to be
transformable to a reflective mirror from a naturally black absorber. The feature of improved reflectance can be
attained by the controllable tip bending process using the bottom surface of a rotated cylindrical tool (the process
called micro-mechanical bending (M2B)). In this paper, the polarized light reflectance of bent and compacted region
of the CNT forest using M2B method has been investigated. We observed that reflectance from the processed CNT
zone was highly dependent on the angle of incidence and polarization state of the incident laser. For the first time, the
refractive index of the tip bent CNT forests by M2B method was investigated and found to be in a range of ∼1.8. |
| format |
Article |
| author |
Hassan, Azizzeanna Mahmud, Murni |
| author_facet |
Hassan, Azizzeanna Mahmud, Murni |
| author_sort |
Hassan, Azizzeanna |
| title |
Learning motivation for slow learners with tablet technology |
| title_short |
Learning motivation for slow learners with tablet technology |
| title_full |
Learning motivation for slow learners with tablet technology |
| title_fullStr |
Learning motivation for slow learners with tablet technology |
| title_full_unstemmed |
Learning motivation for slow learners with tablet technology |
| title_sort |
learning motivation for slow learners with tablet technology |
| publishDate |
2018 |
| url |
http://irep.iium.edu.my/68093/ http://irep.iium.edu.my/68093/1/68093_Learning%20motivation%20for%20slow%20learners%20with%20tablet%20technology.pdf |
| first_indexed |
2023-09-18T21:36:38Z |
| last_indexed |
2023-09-18T21:36:38Z |
| _version_ |
1777412864979501056 |