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Books on the topic 'Personalization of Learning'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Daradoumis, Thanasis, Stavros N. Demetriadis, and Fatos Xhafa, eds. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28586-8.

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2

Daradoumis, Thanasis. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Springer Berlin Heidelberg, 2012.

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3

Guido, Maria Grazia. The representation model of second language learning: A computer hypertext approach to sociolinguistic cognition and L2 personalization. Bulzoni, 1996.

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4

Ongaro, Christopher. Virtual Personalization: Technology-Mediated Interactions and the Opportunities for Engagement and Connection in a Blended Learning Program. [publisher not identified], 2021.

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5

Klasnja-Milićević, Aleksandra, Lakhmi C. Jain, Boban Vesin, Zoran Budimac, and Mirjana Ivanović. E-Learning Systems: Intelligent Techniques for Personalization. Springer London, Limited, 2016.

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6

Tadlaoui, Mouenis Anouar, and Mohamed Khaldi. Personalization and Collaboration in Adaptive E-Learning. IGI Global, 2019.

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7

Jain, Lakhmi C., Mirjana Ivanović, Aleksandra Klašnja-Milićević, Boban Vesin, and Zoran Budimac. E-Learning Systems: Intelligent Techniques for Personalization. Springer, 2016.

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8

Tadlaoui, Mouenis Anouar, and Mohamed Khaldi. Personalization and Collaboration in Adaptive E-Learning. IGI Global, 2019.

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9

Tadlaoui, Mouenis Anouar, and Mohamed Khaldi. Personalization and Collaboration in Adaptive E-Learning. IGI Global, 2019.

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10

Klasnja-Milićević, Aleksandra, Lakhmi C. Jain, Boban Vesin, Zoran Budimac, and Mirjana Ivanović. E-Learning Systems: Intelligent Techniques for Personalization. Springer International Publishing AG, 2018.

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11

Tadlaoui, Mouenis Anouar, and Mohamed Khaldi. Personalization and Collaboration in Adaptive E-Learning. IGI Global, 2019.

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12

Tadlaoui, Mouenis Anouar, and Mohamed Khaldi. Personalization and Collaboration in Adaptive E-Learning. IGI Global, 2020.

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13

Rubin, Shawn C., and Cathy Sanford. Pathways to Personalization: A Framework for School Change. Harvard Education Publishing Group (HEPG), 2018.

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14

Rubin, Shawn C., and Cathy Sanford. Pathways to Personalization: A Framework for School Change. Harvard Education Press, 2018.

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15

Xhafa, Fatos, Thanasis Daradoumis, and Stavros N. Demetriadis. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Springer, 2012.

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16

Xhafa, Fatos, Thanasis Daradoumis, and Stavros N. Demetriadis. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning. Springer, 2014.

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17

Growing Into Equity Professional Learning And Personalization In Highachieving Schools. SAGE Publications Inc, 2013.

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18

Gleason, Sonia Caus, and Nancy J. Gerzon. Growing into Equity: Professional Learning and Personalization in High-Achieving Schools. Corwin Press, 2013.

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19

Rajper, Samina, Noor Ahmed Shaikh, and Noor Zaman Jhanjhi. Exploration of Mathematics and Computational Techniques in Personalization of E-Learning. Wiley & Sons, Incorporated, John, 2023.

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20

Rajper, Samina, Noor Ahmed Shaikh, and Noor Zaman Jhanjhi. Exploration of Mathematics and Computational Techniques in Personalization of E-Learning. Wiley & Sons, Limited, John, 2022.

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21

Rajper, Samina, Noor Ahmed Shaikh, and Noor Zaman Jhanjhi. Exploration of Mathematics and Computational Techniques in Personalization of E-Learning. Wiley & Sons, Incorporated, John, 2023.

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22

Rajper, Samina, Noor Ahmed Shaikh, and Noor Zaman Jhanjhi. Exploration of Mathematics and Computational Techniques in Personalization of E-Learning. Wiley & Sons, Incorporated, John, 2023.

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23

Beaudoin, Nelson. School for Each Student: High Expectations in a Climate of Personalization. Taylor & Francis Group, 2017.

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24

Beaudoin, Nelson. School for Each Student: High Expectations in a Climate of Personalization. Taylor & Francis Group, 2013.

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25

Beaudoin, Nelson. School for Each Student: High Expectations in a Climate of Personalization. Taylor & Francis Group, 2008.

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26

Tsihrintzis, George A., and Dionisios N. Sotiropoulos. Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization. Springer, 2018.

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27

Tsihrintzis, George A., and Dionisios N. Sotiropoulos. Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Intelligent Systems Reference Library). Springer, 2016.

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28

Intelligent Adaptation and Personalization Techniques in ComputerSupported Collaborative Learning Studies in Computational Intelligence. Springer, 2012.

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29

Emerging Web 3.0/semantic Web applications in higher education: Growing personalization and wider interconnections in learning. Information Age Publishing, Inc., 2015.

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30

One-To-One Personalization in the Age of Machine Learning: Harnessing Data to Power Great Customer Experiences. BookBaby, 2020.

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31

Wirth, Karl, and Katie Sweet. One-to-One Personalization in the Age of Machine Learning: Harnessing Data to Power Great Customer Experiences. BookBaby, 2017.

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32

Colpaert, Jozef, Yijen Wang, and Glenn Stockwell, eds. Proceedings of the XXIst International CALL Research Conference. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291050.

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The XXIst International CALL Research Smart Conference was hosted by Waseda University, Tokyo, Japan on July 8-10, 2022. The theme of the conference was Smart CALL, where “Smart” is defined as possessing three qualities: personalization, contextualization, and socialization. Personalization is the extent to which technologies and learning environments are adapted to the specific profile of the language learner. Contextualization is how technologies and learning environments can be adjusted to the specific context of the learner. Socialization is the way in which technologies and learning envir

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33

Recommendation Engines. MIT Press, 2020.

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34

Spiegel, Avi Max. Strategizing the Sacred. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691159843.003.0010.

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This chapter suggests that the representations of religion in young Islamists' lives are not the product of prevarication, but rather of personalization. Religious authority has become circulated to such an extent that it has come to mean multiple things to multiple members. In the midst of this diversification, political party members increasingly appropriate the authority to interpret and represent what “Islam” means or should mean to others. None of these myriad representations constitutes “lies.” Instead, these words and constructions represent and reflect members' own strategic desires fo

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