Students, Computers and Learning
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Students, Computers and Learning

Making the Connection

Are there computers in the classroom? Does it matter? Students, Computers and Learning: Making the Connection examines how students’ access to and use of information and communication technology (ICT) devices has evolved in recent years, and explores how education systems and schools are integrating ICT into students’ learning experiences. Based on results from PISA 2012, the report discusses differences in access to and use of ICT – what are collectively known as the “digital divide” – that are related to students’ socio-economic status, gender, geographic location, and the school a child attends. The report highlights the importance of bolstering students’ ability to navigate through digital texts. It also examines the relationship among computer access in schools, computer use in classrooms, and performance in the PISA assessment. As the report makes clear, all students first need to be equipped with basic literacy and numeracy skills so that they can participate fully in the hyper-connected, digitised societies of the 21st century.

Click to Access: 
    http://oecd.metastore.ingenta.com/content/9815021e.pdf
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  • http://www.keepeek.com/Digital-Asset-Management/oecd/education/students-computers-and-learning_9789264239555-en
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15 Sep 2015
DOI: 
10.1787/9789264239555-en
 
Chapter
 

Inequalities in Digital Proficiency: Bridging the Divide You do not have access to this content

English
Click to Access: 
    http://oecd.metastore.ingenta.com/content/9815021ec008.pdf
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  • http://www.keepeek.com/Digital-Asset-Management/oecd/education/students-computers-and-learning/inequalities-in-digital-proficiency-bridging-the-divide_9789264239555-8-en
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Author(s):
OECD
Pages:
123–143
DOI: 
10.1787/9789264239555-8-en

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Digital inequality refers to differences in the material, cultural and cognitive resources required to make good use of information and communication technology (ICT). This chapter examines differences in access to and use of ICT that are related to students’ socio-economic status, gender, geographic location, and the school a child attends. It also investigates whether performance on computer-based tests is related to students’ socio-economic status and their familiarity with computers.

 
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