國立虎尾科技大學 |

Data Analytics Approaches in Educational Games and Gamification Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Analytics Approaches in Educational Games and Gamification Systems/ edited by Ahmed Tlili, Maiga Chang.
其他作者:	Tlili, Ahmed.
面頁冊數:	XX, 255 p. 69 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Educational technology. -
電子資源:	https://doi.org/10.1007/978-981-32-9335-9
ISBN:	9789813293359

Data Analytics Approaches in Educational Games and Gamification Systems
Data Analytics Approaches in Educational Games and Gamification Systems[electronic resource] /edited by Ahmed Tlili, Maiga Chang. - 1st ed. 2019. - XX, 255 p. 69 illus., 56 illus. in color.online resource. - Smart Computing and Intelligence,2522-0888. - Smart Computing and Intelligence,.

Section 1: Introduction -- Chapter 1: The Importance of Applying Data Analytics Approaches in Educational Games and Gamification Systems -- Section 2: Learning Analytics in Educational Games and Gamification Systems -- Chapter 2: Learning Analytics in Educational Games: Potentials, Approaches, Challenges -- Chapter 3: Assessing Motivational Factors through Learning Analytics in Digital Game-Based Learning -- Chapter 4: Supporting Team-Based Learning in Challenge-Based Game-Based Learning -- Chapter 5: Towards an Analytics Framework for Educational Mini Games across Subjects -- Chapter 6: Sequential Data Mining Approaches in Game Analytics -- Chapter 7: iMoodle: An Intelligent Gamified Moodle to Identify “at-Risk” Students -- Section 3: Academic Analytics and Learning Assessment in Educational Games and Gamification Systems -- Chapter 8: The Effect of 3D Board Game on Learning Human Internal Organs for the Elementary Students -- Chapter 9: Online Multiplayer Educational Game with Analytics (OMEGA) -- Chapter 10: Educational Gamification Improves Business Performances -- Chapter 11: Benefits of a Gamification Platform for Assessing the Development of Computational Thinking -- Section 4: Modeling Learners and Finding Individual Differences by Educational Games and Gamification Systems -- Chapter 12: Educational Games: Modeling Individual Differences of Learners -- Chapter 13: Learning Modeling and Analytics in Computational Thinking Games for Education -- Chapter 14: Towards a New Unobtrusive Approach for Learner Profiling Using Games -- Chapter 15: Considering Personal, Functional, Psychological, Temporal, Playful, Implementable and Evaluative Properties in Gamification: A Conceptual Approach -- Section 5: Conclusion -- Chapter 16: General Guidelines of Incorporating Learning Analytics in Educational Games and Gamification Systems.

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems. After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.

ISBN: 9789813293359

Standard No.: 10.1007/978-981-32-9335-9doiSubjects--Topical Terms:

556755
Educational technology.

LC Class. No.: LC8-6691

Dewey Class. No.: 371.33

Data Analytics Approaches in Educational Games and Gamification Systems
LDR:04794nam a22004095i 4500 001 1009894
003 DE-He213
005 20200702114456.0
007 cr nn 008mamaa
008 210106s2019 si | s |||| 0|eng d
020 $a 9789813293359 $9 978-981-32-9335-9
024 7 $a 10.1007/978-981-32-9335-9 $2 doi
035 $a 978-981-32-9335-9
050 4 $a LC8-6691
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.33 $2 23
245 1 0 $a Data Analytics Approaches in Educational Games and Gamification Systems $h [electronic resource] / $c edited by Ahmed Tlili, Maiga Chang.
250 $a 1st ed. 2019.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a XX, 255 p. 69 illus., 56 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Smart Computing and Intelligence, $x 2522-0888
505 0 $a Section 1: Introduction -- Chapter 1: The Importance of Applying Data Analytics Approaches in Educational Games and Gamification Systems -- Section 2: Learning Analytics in Educational Games and Gamification Systems -- Chapter 2: Learning Analytics in Educational Games: Potentials, Approaches, Challenges -- Chapter 3: Assessing Motivational Factors through Learning Analytics in Digital Game-Based Learning -- Chapter 4: Supporting Team-Based Learning in Challenge-Based Game-Based Learning -- Chapter 5: Towards an Analytics Framework for Educational Mini Games across Subjects -- Chapter 6: Sequential Data Mining Approaches in Game Analytics -- Chapter 7: iMoodle: An Intelligent Gamified Moodle to Identify “at-Risk” Students -- Section 3: Academic Analytics and Learning Assessment in Educational Games and Gamification Systems -- Chapter 8: The Effect of 3D Board Game on Learning Human Internal Organs for the Elementary Students -- Chapter 9: Online Multiplayer Educational Game with Analytics (OMEGA) -- Chapter 10: Educational Gamification Improves Business Performances -- Chapter 11: Benefits of a Gamification Platform for Assessing the Development of Computational Thinking -- Section 4: Modeling Learners and Finding Individual Differences by Educational Games and Gamification Systems -- Chapter 12: Educational Games: Modeling Individual Differences of Learners -- Chapter 13: Learning Modeling and Analytics in Computational Thinking Games for Education -- Chapter 14: Towards a New Unobtrusive Approach for Learner Profiling Using Games -- Chapter 15: Considering Personal, Functional, Psychological, Temporal, Playful, Implementable and Evaluative Properties in Gamification: A Conceptual Approach -- Section 5: Conclusion -- Chapter 16: General Guidelines of Incorporating Learning Analytics in Educational Games and Gamification Systems.
520 $a Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems. After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.
650 0 $a Educational technology. $3 556755
650 0 $a Education—Data processing. $3 1253610
650 1 4 $a Educational Technology. $3 670011
650 2 4 $a Technology and Digital Education. $3 1104027
650 2 4 $a Computers and Education. $3 669806
700 1 $a Tlili, Ahmed. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1303907
700 1 $a Chang, Maiga. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 793771
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789813293342
776 0 8 $i Printed edition: $z 9789813293366
776 0 8 $i Printed edition: $z 9789813293373
830 0 $a Smart Computing and Intelligence, $x 2522-0888 $3 1303908
856 4 0 $u https://doi.org/10.1007/978-981-32-9335-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)