Wilder
发表于 2025-3-21 16:37:54
书目名称Recommender Systems for Learning影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0824127<br><br> <br><br>书目名称Recommender Systems for Learning读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0824127<br><br> <br><br>
IVORY
发表于 2025-3-21 23:41:26
Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duvalon also denoted as . (LIDs). Situations in which residual dependencies may occur are ample. Consider for instance the case where items of a reading test can be subdivided into groups of items each sharing the same reading passage. Data from a test with reading passages may show more dependencies tha
冥想后
发表于 2025-3-22 03:44:42
Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duvalon also denoted as . (LIDs). Situations in which residual dependencies may occur are ample. Consider for instance the case where items of a reading test can be subdivided into groups of items each sharing the same reading passage. Data from a test with reading passages may show more dependencies tha
finite
发表于 2025-3-22 05:40:26
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支架
发表于 2025-3-22 09:58:56
Nikos Manouselis,Hendrik Drachsler,Katrien Verbert,Erik Duval
确认
发表于 2025-3-22 16:08:46
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共同给与
发表于 2025-3-22 19:33:02
https://doi.org/10.1007/978-1-4614-4361-2Recommender systems; TEL datasets; personalization; recommendation algorithms; technology enhanced learn
frugal
发表于 2025-3-23 00:17:08
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苍白
发表于 2025-3-23 05:25:03
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outset
发表于 2025-3-23 08:47:09
Challenges and Outlook,This chapter discusses the main challenges that we see as being highlighted from this study. It also outlines the directions of future work that relevant research could take. It concludes with the main contributions and lessons learnt of this work.