Computer programming skills: A cognitive perspective

Irene Graafsma

doi:10.33612/diss.168003240

Computer programming skills: A cognitive perspective

Irene Graafsma

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The studies in the current thesis examine programming skills from a broad cognitive perspective. Study 1 aims to validate two short versions of an existing programming test. Studies 2 and 3 ask whether cognitive skills and autistic traits predict programming performance in an undergraduate course. The results show that logical reasoning is the most reliable predictor of programming skill and that autistic traits do not predict programming performance. In the final study, brain activity is measured in an EEG experiment. The results show that a programming language may be processed similarly in the brain to natural languages.

Originele taal-2	English
Kwalificatie	Doctor of Philosophy
Toekennende instantie	Rijksuniversiteit Groningen
Begeleider(s)/adviseur	Bastiaanse, Roelien, Supervisor Nickels, Lyndsey, Supervisor, Externe Persoon Marinus, E., Co-supervisor, Externe Persoon Robidoux, S., Co-supervisor, Externe Persoon Popov, Srdan, Co-supervisor
Datum van toekenning	29-apr.-2021
Plaats van publicatie	[Groningen]
Uitgever	University of Groningen
DOI's	https://doi.org/10.33612/diss.168003240
Status	Published - 2021

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10.33612/diss.168003240

Title and contentsFinal publisher's version, 399 KB
Chapter 1Final publisher's version, 284 KB
Chapter 2Final publisher's version, 596 KB
Chapter 3Final publisher's version, 682 KB
Chapter 4Final publisher's version, 451 KB
Chapter 5Final publisher's version, 1,02 MB
Chapter 6Final publisher's version, 308 KB
AppendicesFinal publisher's version, 637 KB
ReferencesFinal publisher's version, 370 KB
SummaryFinal publisher's version, 127 KB
SamenvattingFinal publisher's version, 191 KB
GRODILFinal publisher's version, 235 KB
Complete thesisFinal publisher's version, 2,64 MB
PropositionsFinal publisher's version, 33 KB

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title = "Computer programming skills: A cognitive perspective",

abstract = "The studies in the current thesis examine programming skills from a broad cognitive perspective. Study 1 aims to validate two short versions of an existing programming test. Studies 2 and 3 ask whether cognitive skills and autistic traits predict programming performance in an undergraduate course. The results show that logical reasoning is the most reliable predictor of programming skill and that autistic traits do not predict programming performance. In the final study, brain activity is measured in an EEG experiment. The results show that a programming language may be processed similarly in the brain to natural languages.",

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PY - 2021

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N2 - The studies in the current thesis examine programming skills from a broad cognitive perspective. Study 1 aims to validate two short versions of an existing programming test. Studies 2 and 3 ask whether cognitive skills and autistic traits predict programming performance in an undergraduate course. The results show that logical reasoning is the most reliable predictor of programming skill and that autistic traits do not predict programming performance. In the final study, brain activity is measured in an EEG experiment. The results show that a programming language may be processed similarly in the brain to natural languages.

AB - The studies in the current thesis examine programming skills from a broad cognitive perspective. Study 1 aims to validate two short versions of an existing programming test. Studies 2 and 3 ask whether cognitive skills and autistic traits predict programming performance in an undergraduate course. The results show that logical reasoning is the most reliable predictor of programming skill and that autistic traits do not predict programming performance. In the final study, brain activity is measured in an EEG experiment. The results show that a programming language may be processed similarly in the brain to natural languages.

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M3 - Thesis fully internal (DIV)

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Computer programming skills: A cognitive perspective

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