Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence
The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence...
Gespeichert in:
| Veröffentlicht in: | International journal of advanced computer science & applications 2023, Vol.14 (5) |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 5 |
| container_start_page | |
| container_title | International journal of advanced computer science & applications |
| container_volume | 14 |
| creator | Nurhayati, Hani Arif, Yunifa Miftachul |
| description | The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence technology to equip students with adaptive responses to subject matter scenarios. Ambient intelligence works based on recommendations generated by the Multi-Criteria Recommender System (MCRS). In calculating a similarity between users and reference data, MCRS uses cosine-based similarity calculations, and average similarity is used for ranking. We developed this learning media experiment called Math-VR using the Unity game engine. The experimental test results show that MCRS-based ambient intelligence technology can provide an adaptive response to the choice of geometry subject matter recommendations for students according to their pre-test results. The analysis results show that the recommendation system as part of ambient intelligence has the highest accuracy rate of 0.92 when using 80 reference data. |
| doi_str_mv | 10.14569/IJACSA.2023.0140524 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2830496860</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2830496860</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1894-9f24fe5e1d68707b7a781f17a4f734ecde8405c6afe32e38a7a8817863e8d033</originalsourceid><addsrcrecordid>eNotkMtqwzAQRU1poSHNH3Qh6NqpXrbk7oxp05SUQhJCd0KxR4mDbaWSvMjf13nMZi7MvTPMiaJngqeEJ2n2Ov_Ki1U-pZiyKSYcJ5TfRSNKkjROEoHvL1rGBIvfx2ji_QEPxTKaSjaK-m8d9vFm-YbOAlod6tKjFbja9h7NdAvIWDcMK6e93qNV6Cvogke9r7sdKmy7rbshZDtkDdrULvS6QUvQTR1OSHcVygfHkEDzLkDT1DvoSniKHoxuPExufRytP97XxWe8-JnNi3wRl0RmPM4M5QYSIFUqBRZboYUkhgjNjWAcygrk8G6ZagOMApNaaCmJkCkDWWHGxtHLde3R2b8efFAH27tuuKioZJhnqUzx4OJXV-ms9w6MOrq61e6kCFYXxOqKWJ0Rqxti9g_3y292</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2830496860</pqid></control><display><type>article</type><title>Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Nurhayati, Hani ; Arif, Yunifa Miftachul</creator><creatorcontrib>Nurhayati, Hani ; Arif, Yunifa Miftachul</creatorcontrib><description>The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence technology to equip students with adaptive responses to subject matter scenarios. Ambient intelligence works based on recommendations generated by the Multi-Criteria Recommender System (MCRS). In calculating a similarity between users and reference data, MCRS uses cosine-based similarity calculations, and average similarity is used for ranking. We developed this learning media experiment called Math-VR using the Unity game engine. The experimental test results show that MCRS-based ambient intelligence technology can provide an adaptive response to the choice of geometry subject matter recommendations for students according to their pre-test results. The analysis results show that the recommendation system as part of ambient intelligence has the highest accuracy rate of 0.92 when using 80 reference data.</description><identifier>ISSN: 2158-107X</identifier><identifier>EISSN: 2156-5570</identifier><identifier>DOI: 10.14569/IJACSA.2023.0140524</identifier><language>eng</language><publisher>West Yorkshire: Science and Information (SAI) Organization Limited</publisher><subject>Ambient intelligence ; Computer & video games ; Educational software ; Learning ; Mathematical analysis ; Multiple criterion ; Recommender systems ; Similarity ; Students ; Virtual reality</subject><ispartof>International journal of advanced computer science & applications, 2023, Vol.14 (5)</ispartof><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><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>315,781,785,4025,27928,27929,27930</link.rule.ids></links><search><creatorcontrib>Nurhayati, Hani</creatorcontrib><creatorcontrib>Arif, Yunifa Miftachul</creatorcontrib><title>Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence</title><title>International journal of advanced computer science & applications</title><description>The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence technology to equip students with adaptive responses to subject matter scenarios. Ambient intelligence works based on recommendations generated by the Multi-Criteria Recommender System (MCRS). In calculating a similarity between users and reference data, MCRS uses cosine-based similarity calculations, and average similarity is used for ranking. We developed this learning media experiment called Math-VR using the Unity game engine. The experimental test results show that MCRS-based ambient intelligence technology can provide an adaptive response to the choice of geometry subject matter recommendations for students according to their pre-test results. The analysis results show that the recommendation system as part of ambient intelligence has the highest accuracy rate of 0.92 when using 80 reference data.</description><subject>Ambient intelligence</subject><subject>Computer & video games</subject><subject>Educational software</subject><subject>Learning</subject><subject>Mathematical analysis</subject><subject>Multiple criterion</subject><subject>Recommender systems</subject><subject>Similarity</subject><subject>Students</subject><subject>Virtual reality</subject><issn>2158-107X</issn><issn>2156-5570</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNotkMtqwzAQRU1poSHNH3Qh6NqpXrbk7oxp05SUQhJCd0KxR4mDbaWSvMjf13nMZi7MvTPMiaJngqeEJ2n2Ov_Ki1U-pZiyKSYcJ5TfRSNKkjROEoHvL1rGBIvfx2ji_QEPxTKaSjaK-m8d9vFm-YbOAlod6tKjFbja9h7NdAvIWDcMK6e93qNV6Cvogke9r7sdKmy7rbshZDtkDdrULvS6QUvQTR1OSHcVygfHkEDzLkDT1DvoSniKHoxuPExufRytP97XxWe8-JnNi3wRl0RmPM4M5QYSIFUqBRZboYUkhgjNjWAcygrk8G6ZagOMApNaaCmJkCkDWWHGxtHLde3R2b8efFAH27tuuKioZJhnqUzx4OJXV-ms9w6MOrq61e6kCFYXxOqKWJ0Rqxti9g_3y292</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Nurhayati, Hani</creator><creator>Arif, Yunifa Miftachul</creator><general>Science and Information (SAI) Organization Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>2023</creationdate><title>Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence</title><author>Nurhayati, Hani ; Arif, Yunifa Miftachul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1894-9f24fe5e1d68707b7a781f17a4f734ecde8405c6afe32e38a7a8817863e8d033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Ambient intelligence</topic><topic>Computer & video games</topic><topic>Educational software</topic><topic>Learning</topic><topic>Mathematical analysis</topic><topic>Multiple criterion</topic><topic>Recommender systems</topic><topic>Similarity</topic><topic>Students</topic><topic>Virtual reality</topic><toplevel>online_resources</toplevel><creatorcontrib>Nurhayati, Hani</creatorcontrib><creatorcontrib>Arif, Yunifa Miftachul</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of advanced computer science & applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nurhayati, Hani</au><au>Arif, Yunifa Miftachul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence</atitle><jtitle>International journal of advanced computer science & applications</jtitle><date>2023</date><risdate>2023</risdate><volume>14</volume><issue>5</issue><issn>2158-107X</issn><eissn>2156-5570</eissn><abstract>The challenge to increasing understanding of mathematics lessons for students in madrasah schools makes the learning process require the support of adaptive alternative learning media. In this study, we propose a serious game-based learning media supported by virtual reality and ambient intelligence technology to equip students with adaptive responses to subject matter scenarios. Ambient intelligence works based on recommendations generated by the Multi-Criteria Recommender System (MCRS). In calculating a similarity between users and reference data, MCRS uses cosine-based similarity calculations, and average similarity is used for ranking. We developed this learning media experiment called Math-VR using the Unity game engine. The experimental test results show that MCRS-based ambient intelligence technology can provide an adaptive response to the choice of geometry subject matter recommendations for students according to their pre-test results. The analysis results show that the recommendation system as part of ambient intelligence has the highest accuracy rate of 0.92 when using 80 reference data.</abstract><cop>West Yorkshire</cop><pub>Science and Information (SAI) Organization Limited</pub><doi>10.14569/IJACSA.2023.0140524</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2158-107X |
| ispartof | International journal of advanced computer science & applications, 2023, Vol.14 (5) |
| issn | 2158-107X 2156-5570 |
| language | eng |
| recordid | cdi_proquest_journals_2830496860 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Ambient intelligence Computer & video games Educational software Learning Mathematical analysis Multiple criterion Recommender systems Similarity Students Virtual reality |
| title | Math-VR: Mathematics Serious Game for Madrasah Students using Combination of Virtual Reality and Ambient Intelligence |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T04%3A54%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Math-VR:%20Mathematics%20Serious%20Game%20for%20Madrasah%20Students%20using%20Combination%20of%20Virtual%20Reality%20and%20Ambient%20Intelligence&rft.jtitle=International%20journal%20of%20advanced%20computer%20science%20&%20applications&rft.au=Nurhayati,%20Hani&rft.date=2023&rft.volume=14&rft.issue=5&rft.issn=2158-107X&rft.eissn=2156-5570&rft_id=info:doi/10.14569/IJACSA.2023.0140524&rft_dat=%3Cproquest_cross%3E2830496860%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2830496860&rft_id=info:pmid/&rfr_iscdi=true |