Bioinformatics Resources in Facilitating Students' Conception on Molecule genetics concepts Article Swipe

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Tati Kristianti , Ari Widodo , Sony Suhandono , Bruce Waldrip ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.2991/icmsed-16.2017.51

Molecule genetics concepts are dificcult concepts for students almost in every country.Students must strugle to visualize those concepts.In this study, we presented bioinformatics resources in facilitating students' conception on molecule genetics concepts.Our research questions targeted students conception of deoxyriboculeic acid (DNA), transcription, genetic code, codon/anti-codon, intron, exon, gene.Data sources included pre/post-test and transcript of interviews.Our findings on pre-test showed that students have many variatian of molecule genetics concepts as prior knowledge.We found that most students held misconception of all over concepts and have partial conception on intron, exon and gene.Through bioinformatics learning process, the students prior conceptual frameworks was transformed to better understanding.Most students have a comprehensive knowledge of DNA, transcription, genetic code and codon/anti-codon.However most of students still held the partial knowledge of intron, exon and gene.Meanwhile in intron, exon and gene concepts, the students were unable to integrate their prior knowledge with informations of the bioinformatics resources.The transcripts revealed that bioinformatics resources were able to enhance students in representing of the DNA, transcription, genetic code and codon/anti-codon concepts.

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Type: article
Language: en
Landing Page: https://doi.org/10.2991/icmsed-16.2017.51
PDF: https://download.atlantis-press.com/article/25869967.pdf
OA Status: gold
References: 21
Related Works: 10
OpenAlex ID: https://openalex.org/W2585854793

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OpenAlex ID: https://openalex.org/W2585854793

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DOI: https://doi.org/10.2991/icmsed-16.2017.51

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Title: Bioinformatics Resources in Facilitating Students' Conception on Molecule genetics concepts

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Language: en

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Publication year: 2017

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Publication date: 2017-01-01

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Authors: Tati Kristianti, Ari Widodo, Sony Suhandono, Bruce Waldrip

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Landing page: https://doi.org/10.2991/icmsed-16.2017.51

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Concepts: Computer science, Computational biology, Data science, Biology

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