Acceptability of Nudge in Digital Learning Environment
ABSTRACT Digital nudging is gaining traction in the educational domain to guide students' decision‐making processes and achieve desirable learning outcomes through subtle changes in the digital learning environment. From the information science perspective, these changes are realized through in...
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Veröffentlicht in: | Proceedings of the ASIST Annual Meeting 2024-10, Vol.61 (1), p.564-569 |
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Digital nudging is gaining traction in the educational domain to guide students' decision‐making processes and achieve desirable learning outcomes through subtle changes in the digital learning environment. From the information science perspective, these changes are realized through informational cues and human‐computer interface design to affect the influences. Studies have shown nudge effectiveness in influencing students' behaviors, but the extent to which digital nudging affects them and who is susceptible to nudges remains unclear. Although progress has been made in understanding nudge acceptability, research in the context of learning and students' characteristics, such as procrastination behavior, remains limited. To fill this gap, this study surveyed 305 university students to assess their nudge acceptability on two types of nudges: System 1, which involves automatic and intuitive processes, and System 2, which engages deliberate and reflective thinking. The results show that students, regardless of their procrastination tendencies, were receptive to nudges in supporting their learning. System 1 nudge was preferred due to its simplistic and straightforward intervention approach. The insights gained from this study contributed to the advancement of nudge research by demonstrating that students with various procrastination tendencies were receptive to nudging and guiding researchers in designing tailored nudges to maximize effectiveness. |
doi_str_mv | 10.1002/pra2.1059 |
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Digital nudging is gaining traction in the educational domain to guide students' decision‐making processes and achieve desirable learning outcomes through subtle changes in the digital learning environment. From the information science perspective, these changes are realized through informational cues and human‐computer interface design to affect the influences. Studies have shown nudge effectiveness in influencing students' behaviors, but the extent to which digital nudging affects them and who is susceptible to nudges remains unclear. Although progress has been made in understanding nudge acceptability, research in the context of learning and students' characteristics, such as procrastination behavior, remains limited. To fill this gap, this study surveyed 305 university students to assess their nudge acceptability on two types of nudges: System 1, which involves automatic and intuitive processes, and System 2, which engages deliberate and reflective thinking. The results show that students, regardless of their procrastination tendencies, were receptive to nudges in supporting their learning. System 1 nudge was preferred due to its simplistic and straightforward intervention approach. The insights gained from this study contributed to the advancement of nudge research by demonstrating that students with various procrastination tendencies were receptive to nudging and guiding researchers in designing tailored nudges to maximize effectiveness.</description><identifier>ISSN: 2373-9231</identifier><identifier>EISSN: 2373-9231</identifier><identifier>EISSN: 1550-8390</identifier><identifier>DOI: 10.1002/pra2.1059</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Acceptability ; Colleges & universities ; Digital computers ; digital learning environment ; Effectiveness ; Learning ; learning behavior ; Nudge ; nudge acceptability ; Procrastination ; School environment ; Students</subject><ispartof>Proceedings of the ASIST Annual Meeting, 2024-10, Vol.61 (1), p.564-569</ispartof><rights>87 Annual Meeting of the Association for Information Science & Technology | Oct. 25 – 29, 2024 | Calgary, AB, Canada</rights><rights>2024 ASIS&T</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1029-9d9dd39e1a27ca1030bfa64187d8ad3f0544a8c33d5d319f56e615c53a8dcfa23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Lim, Kok Khiang</creatorcontrib><creatorcontrib>Lee, Chei Sian</creatorcontrib><title>Acceptability of Nudge in Digital Learning Environment</title><title>Proceedings of the ASIST Annual Meeting</title><description>ABSTRACT
Digital nudging is gaining traction in the educational domain to guide students' decision‐making processes and achieve desirable learning outcomes through subtle changes in the digital learning environment. From the information science perspective, these changes are realized through informational cues and human‐computer interface design to affect the influences. Studies have shown nudge effectiveness in influencing students' behaviors, but the extent to which digital nudging affects them and who is susceptible to nudges remains unclear. Although progress has been made in understanding nudge acceptability, research in the context of learning and students' characteristics, such as procrastination behavior, remains limited. To fill this gap, this study surveyed 305 university students to assess their nudge acceptability on two types of nudges: System 1, which involves automatic and intuitive processes, and System 2, which engages deliberate and reflective thinking. The results show that students, regardless of their procrastination tendencies, were receptive to nudges in supporting their learning. System 1 nudge was preferred due to its simplistic and straightforward intervention approach. The insights gained from this study contributed to the advancement of nudge research by demonstrating that students with various procrastination tendencies were receptive to nudging and guiding researchers in designing tailored nudges to maximize effectiveness.</description><subject>Acceptability</subject><subject>Colleges & universities</subject><subject>Digital computers</subject><subject>digital learning environment</subject><subject>Effectiveness</subject><subject>Learning</subject><subject>learning behavior</subject><subject>Nudge</subject><subject>nudge acceptability</subject><subject>Procrastination</subject><subject>School environment</subject><subject>Students</subject><issn>2373-9231</issn><issn>2373-9231</issn><issn>1550-8390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kDtPwzAUhS0EElXpwD-IxMQQ6usbO_FYlfKQKkAIZsv1o3KVOsFJQf33pJSBhemc4bv3SB8hl0BvgFI2bZNmQ-PyhIwYlphLhnD6p5-TSddtKKVQCSwljoiYGePaXq9CHfp91vjsaWfXLgsxuw3r0Os6WzqdYojrbBE_Q2ri1sX-gpx5XXdu8ptj8n63eJs_5Mvn-8f5bJkboEzm0kprUTrQrDQaKNKV16KAqrSVtugpLwpdGUTLLYL0XDgB3HDUlTVeMxyTq-PfNjUfO9f1atPsUhwmFQIIXnAmyoG6PlImNV2XnFdtClud9gqoOphRBzPqYGZgp0f2K9Ru_z-oXl5n7OfiG2c8Y1Q</recordid><startdate>202410</startdate><enddate>202410</enddate><creator>Lim, Kok Khiang</creator><creator>Lee, Chei Sian</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>202410</creationdate><title>Acceptability of Nudge in Digital Learning Environment</title><author>Lim, Kok Khiang ; Lee, Chei Sian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1029-9d9dd39e1a27ca1030bfa64187d8ad3f0544a8c33d5d319f56e615c53a8dcfa23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acceptability</topic><topic>Colleges & universities</topic><topic>Digital computers</topic><topic>digital learning environment</topic><topic>Effectiveness</topic><topic>Learning</topic><topic>learning behavior</topic><topic>Nudge</topic><topic>nudge acceptability</topic><topic>Procrastination</topic><topic>School environment</topic><topic>Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Kok Khiang</creatorcontrib><creatorcontrib>Lee, Chei Sian</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Proceedings of the ASIST Annual Meeting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Kok Khiang</au><au>Lee, Chei Sian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acceptability of Nudge in Digital Learning Environment</atitle><jtitle>Proceedings of the ASIST Annual Meeting</jtitle><date>2024-10</date><risdate>2024</risdate><volume>61</volume><issue>1</issue><spage>564</spage><epage>569</epage><pages>564-569</pages><issn>2373-9231</issn><eissn>2373-9231</eissn><eissn>1550-8390</eissn><abstract>ABSTRACT
Digital nudging is gaining traction in the educational domain to guide students' decision‐making processes and achieve desirable learning outcomes through subtle changes in the digital learning environment. From the information science perspective, these changes are realized through informational cues and human‐computer interface design to affect the influences. Studies have shown nudge effectiveness in influencing students' behaviors, but the extent to which digital nudging affects them and who is susceptible to nudges remains unclear. Although progress has been made in understanding nudge acceptability, research in the context of learning and students' characteristics, such as procrastination behavior, remains limited. To fill this gap, this study surveyed 305 university students to assess their nudge acceptability on two types of nudges: System 1, which involves automatic and intuitive processes, and System 2, which engages deliberate and reflective thinking. The results show that students, regardless of their procrastination tendencies, were receptive to nudges in supporting their learning. System 1 nudge was preferred due to its simplistic and straightforward intervention approach. The insights gained from this study contributed to the advancement of nudge research by demonstrating that students with various procrastination tendencies were receptive to nudging and guiding researchers in designing tailored nudges to maximize effectiveness.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/pra2.1059</doi><tpages>6</tpages></addata></record> |
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subjects | Acceptability Colleges & universities Digital computers digital learning environment Effectiveness Learning learning behavior Nudge nudge acceptability Procrastination School environment Students |
title | Acceptability of Nudge in Digital Learning Environment |
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