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Investigating Epistemic Stances in Game Play with Data Mining

Mario M. Martinez-Garza, Douglas B. Clark
2017 International Journal of Gaming and Computer-Mediated Simulations  
The second goal is to explore and demonstrate the use of automatically collected log files of student play as evidence through educational data mining techniques.  ...  Implications of these findings in terms of educational game design, analysis of gameplay logs, and further refinement of the 2SM are discussed.  ...  To explore Research Question 1, we apply LA techniques exploring the variables in terms of clustering and then in terms of sequence mining.  ... 
doi:10.4018/ijgcms.2017070101 fatcat:mmbcosid7bh7phxlx25osl7fda

Designing Effective Digital Learning Environments: Toward Learning Analytics Design

Dirk Ifenthaler
2017 Technology, Knowledge and Learning  
The authors explore the successful integration of games into instruction and argue that it requires teachers to shift instructional practices.  ...  Their findings suggest that different affordances of apps were perceived in different ways, depending on the age of the child, and that these perceptions were observable in young children's patterns of  ... 
doi:10.1007/s10758-017-9333-0 fatcat:zvopamn4uvfbvi6cb2oynizqgi

Some Psychometric and Design Implications of Game-Based Learning Analytics [chapter]

David Gibson, Jody Clarke-Midura
2015 E-Learning Systems, Environments and Approaches  
The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters  ...  for design of digital game-based learning and assessment applications.  ...  In the following sections, a comparison of the methods is presented followed by a summary of main findings and thoughts concerning the design of game-based data collection for educational measurement.  ... 
doi:10.1007/978-3-319-05825-2_17 fatcat:lrls77esgrfu7bu6fbuou7yy2q

Modeling Individual Differences in Game Behavior using HMM [article]

Sara Bunian, Alessandro Canossa, Randy Colvin, Magy Seif El-Nasr
2018 arXiv   pre-print
While few works have explored sequential analysis of player data, none have explored the use of Hidden Markov Models (HMM) to model individual differences, which is the topic of this paper.  ...  However, players' individual differences may be better manifested through sequential patterns of the in-game player's actions.  ...  In addition to correlating personality measures with game behavior, Chen et al. (2015) recently utilized sequence pattern mining to further understand the impact of individual differences on game behaviors  ... 
arXiv:1804.00245v1 fatcat:bfiw5py34fcyjn3obbys6gfwvi

Editorial for EAIT Issue 4, 2018

Arthur Tatnall
2018 Education and Information Technologies : Official Journal of the IFIP technical committee on Education  
Their data mining technique explores academic records collected from an online system of an academic institute of national importance in India.  ...  the use of computers in education.  ... 
doi:10.1007/s10639-018-9751-1 fatcat:gwm6csfy75esbnsa4muudfe3jy

Games, Stories and Language: Motivating Second Language Acquisition With Play

Nathan Prestopnik
2016 International Journal of Designs for Learning  
As such, Arena is a vehicle for designers and researchers to study the effectiveness of story-based games for engaging learners, as well as to explore some of the various challenges that manifest when  ...  designing and implementing gameful educational experiences.  ...  presence and the affordances of the 2D medium.  ... 
doi:10.14434/ijdl.v7i3.20051 fatcat:fj2rig5tzbfahfbpwdwm5ho6eq

Editorial: A Message from the Editorial Team and an Introduction to the April-June 2017 issue

Peter Brusilovsky, Mike Sharples
2017 IEEE Transactions on Learning Technologies  
The affordances of mobile devices are also explored in a paper by David Cabielles-Hern andez, Juan-Ram on P erez-P erez, MPuerto Paule-Ruiz, and Samuel Fern andez-Fern andez with the title "Specialized  ...  It showed no significant effect of treatment, however the pattern-mining approach identified new variations of strategies and gaps in the model.  ...  Another extensive study of using games in education is presented in the paper "Investigating the Impact of Gaming Habits, Gender, and Age on the Effectiveness of an Educational Video Game: An Exploratory  ... 
doi:10.1109/tlt.2017.2707198 fatcat:ddvb2qel4zfsbbhmcup3noikdm

Exploring sequences of learner activities in relation to self-regulated learning in a massive open online course

Jacqueline Wong, Mohammad Khalil, Martine Baars, Björn B. de Koning, Fred Paas
2019 Computers & Education  
T understanding of how MOOC learners make use of the SRL supports by exploring sequences of learners' activities in a MOOC embedded with videos prompting SRL.  ...  In view of the number of processes involved in SRL, it is not surprising that SRL is linked to academic success in both traditional (Dent & Koenka, 2016) and online higher education (Broadbent & Poon,  ...  Kris Stabel, and the Coursera Partner Support Team for supporting the implementation of the study.  ... 
doi:10.1016/j.compedu.2019.103595 fatcat:ac4eb7xtufdexaalyp7annrnwm

Exploratory Analysis in Learning Analytics

David Gibson, Sara de Freitas
2015 Technology, Knowledge and Learning  
The article presents the research contexts, the tools and methods used in the exploratory phases of analysis, the major findings and the implications for learning analytics research methods.  ...  The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5year period at a large Australian university.  ...  The case comes from a purpose-built game of the Virtual Assessment Project at the Harvard Graduate School of Education (Gibson and Clarke-Midura 2013) , which has an educative aim to examine whether the  ... 
doi:10.1007/s10758-015-9249-5 fatcat:lcccvb7z4zejtf4n6bviep64pa

Open Player Modeling: Empowering Players through Data Transparency [article]

Jichen Zhu, Magy Seif El-Nasr
2021 arXiv   pre-print
We define the design space of Open Player Models and present exciting open problems that the games research community can explore.  ...  In this paper, we synthesize existing work from the Intelligent User Interface and Learning Science research communities, where they started to investigate the potential of making such data and models  ...  Acknowledgement This work is supported by the National Science Foundation (NSF) under Grant #1917855. The authors would like to thank all past and current members of the project.  ... 
arXiv:2110.05810v1 fatcat:mu624pgw5rd3va5lc7vuq7zlju

Data mining and education

Kenneth R. Koedinger, Sidney D'Mello, Elizabeth A. McLaughlin, Zachary A. Pardos, Carolyn P. Rosé
2015 Wiley Interdisciplinary Reviews: Cognitive Science  
An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from many kinds of educational technologies.  ...  The data include detailed action and timing logs of student interactions in user interfaces such as graded responses to questions or essays, steps in rich problem solving environments, games or simulations  ...  Other areas of educational data mining Many other questions have been explored with educational data mining. We give brief examples of some of these areas.  ... 
doi:10.1002/wcs.1350 pmid:26263424 fatcat:3olx4w3borhnlfptqksutuqyqa

A Concise Study about Data Mining Methods, Tools and Its Trendy Applications

C. Thangamalar
2016 International Journal Of Engineering And Computer Science  
Data mining is an emerging topic of the computer science research in recent years, and it has extensive applications in various fields such as Bio informatics, Criminal investigation, Research analysis  ...  In today's ferociously competitive business surroundings, corporations to speedily flip these zettabytes of information into vital insights into their customers and markets to guide their promoting, investment  ...  DNA Analysis Educational Data Mining Educational mining is a rising discipline involved with developing strategies for exploring the distinctive forms of knowledge that come from academic settings and  ... 
doi:10.18535/ijecs/v5i10.43 fatcat:ofb2jklpnvc2dpddu3m65fkhe4

3D VIRTUAL MODELS FOR AN EARLY EDUCATION SERIOUS GAMING APPLICATION

D. Anastasiou, T. Avgeri, A. Iliodromitis, V. Pagounis, M. Tsakiri
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper presents the creation of a simple 'serious game' where several tasks can be constructed that promote the 3D spatial thinking in pre-school education.  ...  The templates, for each section of the gaming application, have been developed using HTML5 and CSS3, in order that they are interactive and accessible to all smart devices.  ...  ACKNOWLEDGEMENTS The authors acknowledge the help of the teachers for their valuable input in designing the digital tasks and the pre-school children in testing the developed platform.  ... 
doi:10.5194/isprs-archives-xliv-4-w1-2020-3-2020 fatcat:z5lj7sbawrh5tdnvyr7pt4szbe

Statistical Methods for Assessments in Simulations and Serious Games

Jianbin Fu, Diego Zapata, Elia Mavronikolas
2014 ETS Research Report Series  
Department of Education's National Education Technology Plan (2010, p. xvii), which outlines the importance of conducting "research and development that explores how embedded assessment technologies, such  ...  Mislevy et al. (2013) provided general discussion of psychometric issues in game-based assessments in the framework of the evidence-centered assessment design.  ...  In the study conducted by Montalvo et al., the sequence of actions was separated into clips; a clip included all the actions in both the hypothesis and the experiment stages in a single run of the four-stage  ... 
doi:10.1002/ets2.12011 fatcat:siokqoxh3nblpfpi7ckdm7zrna

An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts

Kasia Muldner, Winslow Burleson, Brett Van de Sande, Kurt VanLehn
2011 User modeling and user-adapted interaction  
Given that student was more predictive of gaming than problem, subsequent analyses focused on how students gamed and in turn benefited (or not) from instructional features of the environment, as well as  ...  To address this question, we developed a computational gaming detector for automatically labeling the Andes data, and applied several data mining techniques, including machine learning of Bayesian network  ...  Acknowledgements The authors thank the anonymous reviewers for their helpful suggestions. This research was funded the National Science Foundation, including the following grants: (1)  ... 
doi:10.1007/s11257-010-9086-0 fatcat:soebe2rh2basxp3sdvy63q6jhe
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