Student Career Dataset
The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills. Data Description: The dataset comprises two main columns: "Skill...
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creator | Hossain Faruque, Sakir khushbu, sharun akter |
description | The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills.
Data Description: The dataset comprises two main columns: "Skill" and "Career." The "Skill" column contains textual data representing the skills reported by students, such as "web development," "mobile app development," etc. The "Career" column contains textual data representing the career fields students aspire to enter, such as "Development," "Software Engineering," etc. The data were collected through surveys or self-reported information provided by students.
Analysis and Findings: Analysis of the data reveals notable findings indicating strong associations between students' reported skills and their chosen career fields. For instance, students who reported skills in "web development" often expressed interest in careers related to "Development" or "Software Engineering." Similarly, students with skills in "mobile app development" tended to aspire to careers in "Mobile Application Development" or "Software Engineering." The data suggest that students' reported skills play a significant role in shaping their career aspirations.
Interpretation and Implications: The data provide valuable insights for educators, career counselors, and students themselves. Educators and counselors can use this information to provide tailored guidance to students based on their reported skills, helping them align their skill sets with suitable career paths. Students can also benefit from understanding the correlation between their skills and potential career opportunities, enabling them to make more informed decisions about their academic and professional trajectories. Overall, the data shed light on the importance of skill development and its impact on career choices in the field of computer science and software engineering. |
doi_str_mv | 10.17632/4spj4mbpjr |
format | Dataset |
fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17632_4spj4mbpjr</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17632_4spj4mbpjr</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17632_4spj4mbpjr3</originalsourceid><addsrcrecordid>eNpjYBA2NNAzNDczNtI3KS7IMslNKsgq4mQQCy4pTUnNK1FwTixKTS1ScEksSSxOLeFhYE1LzClO5YXS3Azabq4hzh66KUD55MyS1PiCoszcxKLKeEODeLCp8QhTjUlTDQD2tDAi</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Student Career Dataset</title><source>DataCite</source><creator>Hossain Faruque, Sakir ; khushbu, sharun akter</creator><creatorcontrib>Hossain Faruque, Sakir ; khushbu, sharun akter</creatorcontrib><description>The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills.
Data Description: The dataset comprises two main columns: "Skill" and "Career." The "Skill" column contains textual data representing the skills reported by students, such as "web development," "mobile app development," etc. The "Career" column contains textual data representing the career fields students aspire to enter, such as "Development," "Software Engineering," etc. The data were collected through surveys or self-reported information provided by students.
Analysis and Findings: Analysis of the data reveals notable findings indicating strong associations between students' reported skills and their chosen career fields. For instance, students who reported skills in "web development" often expressed interest in careers related to "Development" or "Software Engineering." Similarly, students with skills in "mobile app development" tended to aspire to careers in "Mobile Application Development" or "Software Engineering." The data suggest that students' reported skills play a significant role in shaping their career aspirations.
Interpretation and Implications: The data provide valuable insights for educators, career counselors, and students themselves. Educators and counselors can use this information to provide tailored guidance to students based on their reported skills, helping them align their skill sets with suitable career paths. Students can also benefit from understanding the correlation between their skills and potential career opportunities, enabling them to make more informed decisions about their academic and professional trajectories. Overall, the data shed light on the importance of skill development and its impact on career choices in the field of computer science and software engineering.</description><identifier>DOI: 10.17632/4spj4mbpjr</identifier><language>eng</language><publisher>Mendeley Data</publisher><subject>Career Planning in Decision Making ; Computer Science ; Natural Language Processing ; Skill Development ; Software Engineering ; Student Motivation</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>778,1890</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/4spj4mbpjr$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Hossain Faruque, Sakir</creatorcontrib><creatorcontrib>khushbu, sharun akter</creatorcontrib><title>Student Career Dataset</title><description>The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills.
Data Description: The dataset comprises two main columns: "Skill" and "Career." The "Skill" column contains textual data representing the skills reported by students, such as "web development," "mobile app development," etc. The "Career" column contains textual data representing the career fields students aspire to enter, such as "Development," "Software Engineering," etc. The data were collected through surveys or self-reported information provided by students.
Analysis and Findings: Analysis of the data reveals notable findings indicating strong associations between students' reported skills and their chosen career fields. For instance, students who reported skills in "web development" often expressed interest in careers related to "Development" or "Software Engineering." Similarly, students with skills in "mobile app development" tended to aspire to careers in "Mobile Application Development" or "Software Engineering." The data suggest that students' reported skills play a significant role in shaping their career aspirations.
Interpretation and Implications: The data provide valuable insights for educators, career counselors, and students themselves. Educators and counselors can use this information to provide tailored guidance to students based on their reported skills, helping them align their skill sets with suitable career paths. Students can also benefit from understanding the correlation between their skills and potential career opportunities, enabling them to make more informed decisions about their academic and professional trajectories. Overall, the data shed light on the importance of skill development and its impact on career choices in the field of computer science and software engineering.</description><subject>Career Planning in Decision Making</subject><subject>Computer Science</subject><subject>Natural Language Processing</subject><subject>Skill Development</subject><subject>Software Engineering</subject><subject>Student Motivation</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2024</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBA2NNAzNDczNtI3KS7IMslNKsgq4mQQCy4pTUnNK1FwTixKTS1ScEksSSxOLeFhYE1LzClO5YXS3Azabq4hzh66KUD55MyS1PiCoszcxKLKeEODeLCp8QhTjUlTDQD2tDAi</recordid><startdate>20241017</startdate><enddate>20241017</enddate><creator>Hossain Faruque, Sakir</creator><creator>khushbu, sharun akter</creator><general>Mendeley Data</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20241017</creationdate><title>Student Career Dataset</title><author>Hossain Faruque, Sakir ; khushbu, sharun akter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_4spj4mbpjr3</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Career Planning in Decision Making</topic><topic>Computer Science</topic><topic>Natural Language Processing</topic><topic>Skill Development</topic><topic>Software Engineering</topic><topic>Student Motivation</topic><toplevel>online_resources</toplevel><creatorcontrib>Hossain Faruque, Sakir</creatorcontrib><creatorcontrib>khushbu, sharun akter</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hossain Faruque, Sakir</au><au>khushbu, sharun akter</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Student Career Dataset</title><date>2024-10-17</date><risdate>2024</risdate><abstract>The research aims to investigate the relationship between students' reported skills and their chosen career fields, hypothesizing that students with specific skills are more likely to pursue careers aligned with those skills.
Data Description: The dataset comprises two main columns: "Skill" and "Career." The "Skill" column contains textual data representing the skills reported by students, such as "web development," "mobile app development," etc. The "Career" column contains textual data representing the career fields students aspire to enter, such as "Development," "Software Engineering," etc. The data were collected through surveys or self-reported information provided by students.
Analysis and Findings: Analysis of the data reveals notable findings indicating strong associations between students' reported skills and their chosen career fields. For instance, students who reported skills in "web development" often expressed interest in careers related to "Development" or "Software Engineering." Similarly, students with skills in "mobile app development" tended to aspire to careers in "Mobile Application Development" or "Software Engineering." The data suggest that students' reported skills play a significant role in shaping their career aspirations.
Interpretation and Implications: The data provide valuable insights for educators, career counselors, and students themselves. Educators and counselors can use this information to provide tailored guidance to students based on their reported skills, helping them align their skill sets with suitable career paths. Students can also benefit from understanding the correlation between their skills and potential career opportunities, enabling them to make more informed decisions about their academic and professional trajectories. Overall, the data shed light on the importance of skill development and its impact on career choices in the field of computer science and software engineering.</abstract><pub>Mendeley Data</pub><doi>10.17632/4spj4mbpjr</doi><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.17632/4spj4mbpjr |
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language | eng |
recordid | cdi_datacite_primary_10_17632_4spj4mbpjr |
source | DataCite |
subjects | Career Planning in Decision Making Computer Science Natural Language Processing Skill Development Software Engineering Student Motivation |
title | Student Career Dataset |
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