Challenges and opportunities of multimodal data in human learning: The computer science students' perspective
暂无分享,去创建一个
Dragan Gasevic | Roberto Martínez Maldonado | Boban Vesin | Katerina Mangaroska | D. Gašević | B. Vesin | Katerina Mangaroska | R. Martínez-Maldonado | Roberto Martínez-Maldonado
[1] Olga Viberg,et al. The current landscape of learning analytics in higher education , 2018, Comput. Hum. Behav..
[2] Sharon L. Oviatt,et al. Human-centered design meets cognitive load theory: designing interfaces that help people think , 2006, MM '06.
[3] Nikhil Sharma,et al. Photographing information needs: the role of photos in experience sampling method-style research , 2014, CHI.
[4] S. Tobias. Interest, Prior Knowledge, and Learning , 1994 .
[5] Manu Kapur,et al. Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning , 2016 .
[6] Maren Scheffel,et al. Quality Indicators for Learning Analytics , 2014, J. Educ. Technol. Soc..
[7] George Siemens,et al. Learning Analytics , 2013 .
[8] A. Wise,et al. Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making , 2019, J. Learn. Anal..
[9] A. Graesser,et al. Dynamics of affective states during complex learning , 2012 .
[10] Sidney K. D'Mello,et al. Investigating the Impact of a Real-time, Multimodal Student Engagement Analytics Technology in Authentic Classrooms , 2019, CHI.
[11] Xavier Ochoa,et al. Multimodal Learning Analytics in a Laboratory Classroom , 2019, Machine Learning Paradigms.
[12] Marcelo Worsley,et al. Leveraging multimodal learning analytics to differentiate student learning strategies , 2015, LAK.
[13] Brian J. Novoselich,et al. An Investigation of First-Year Engineering Student and Instructor Perspectives of Learning Analytics Approaches , 2016, J. Learn. Anal..
[14] Lucrezia Crescenzi‐Lanna,et al. Multimodal Learning Analytics research with young children: A systematic review , 2020, Br. J. Educ. Technol..
[15] Glenn F. Wilson,et al. An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures , 2002 .
[16] Pierre Dillenbourg,et al. Design for classroom orchestration , 2013, Comput. Educ..
[17] A. Lewis. Group Child Interviews as a Research Tool , 1992 .
[18] Hendrik Drachsler,et al. Privacy and analytics: it's a DELICATE issue a checklist for trusted learning analytics , 2016, LAK.
[19] D. Di Mitri. Detecting Medical Simulation Errors with Machine learning and Multimodal Data , 2019 .
[20] Hendrik Drachsler,et al. JCAL Special Issue on Multimodal Learning Analytics , 2018, J. Comput. Assist. Learn..
[21] Rosalind W. Picard,et al. A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity , 2010, IEEE Transactions on Biomedical Engineering.
[22] Carole R. Beal,et al. EEG estimates of engagement and cognitive workload predict math problem solving outcomes , 2012, UMAP.
[23] Kai Hakkarainen,et al. Instrumental genesis in technology-mediated learning: From double stimulation to expansive knowledge practices , 2012, Int. J. Comput. Support. Collab. Learn..
[24] María Jesús Rodríguez-Triana,et al. The teacher in the loop: customizing multimodal learning analytics for blended learning , 2018, LAK.
[25] Echeverria Barzola,et al. Designing Feedback for Collocated Teams using Multimodal Learning Analytics , 2020 .
[26] Michail N. Giannakos,et al. Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning , 2019, IEEE Transactions on Learning Technologies.
[27] Daniel McDuff,et al. AffectAura: an intelligent system for emotional memory , 2012, CHI.
[28] Sanna Järvelä,et al. Profiling sympathetic arousal in a physics course: How active are students? , 2018, J. Comput. Assist. Learn..
[29] George Siemens,et al. Ethical and privacy principles for learning analytics , 2014, Br. J. Educ. Technol..
[30] Paul Prinsloo,et al. Student Vulnerability, Agency and Learning Analytics: An Exploration , 2016, J. Learn. Anal..
[31] Michail N. Giannakos,et al. Gaze insights into debugging behavior using learner-centred analysis , 2018, LAK.
[32] Paul A. Kirschner,et al. Learning analytics in massively multi-user virtual environments and courses , 2016, J. Comput. Assist. Learn..
[33] Albrecht Schmidt,et al. Perception beyond the Here and Now , 2011, Computer.
[34] Marc Hassenzahl,et al. From mental effort to perceived usability: transforming experiences into summary assessments , 2004, CHI EA '04.
[35] Omid Noroozi,et al. Multimodal data to design visual learning analytics for understanding regulation of learning , 2019, Comput. Hum. Behav..
[36] María Jesús Rodríguez-Triana,et al. A Scalable Architecture for the Dynamic Deployment of Multimodal Learning Analytics Applications in Smart Classrooms , 2020, Sensors.
[37] Nian-Shing Chen,et al. State-of-the-Art and Future Directions of Smart Learning , 2016 .
[38] María Jesús Rodríguez-Triana,et al. A Review of Multimodal Learning Analytics Architectures , 2018, 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT).
[39] W. Klimesch. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.
[40] Aaron Marcus,et al. Seven HCI Grand Challenges , 2019, Int. J. Hum. Comput. Interact..
[41] C. Basch. Focus Group Interview: An Underutilized Research Technique for Improving Theory and Practice in Health Education , 1987, Health education quarterly.
[42] Xavier Ochoa,et al. Multimodal learning analytics: assessing learners' mental state during the process of learning , 2018, The Handbook of Multimodal-Multisensor Interfaces, Volume 2.
[43] Paul Henman,et al. Targeted! Population segmentation, electronic surveillance and governing the unemployed in Australia , 2004 .
[44] Marcelo Worsley,et al. Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks , 2016, J. Learn. Anal..
[45] Niels Henze,et al. EngageMeter: A System for Implicit Audience Engagement Sensing Using Electroencephalography , 2017, CHI.
[46] Hendrik Drachsler,et al. From signals to knowledge: A conceptual model for multimodal learning analytics , 2018, J. Comput. Assist. Learn..
[47] Roberto Martínez Maldonado,et al. Mapping learner-data journeys: evolution of a visual co-design tool , 2018, OZCHI.
[48] Rafael A. Calvo,et al. Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.
[49] Isabella McLafferty,et al. METHODOLOGICAL ISSUES IN NURSING RESEARCH Focus group interviews as a data collecting strategy , 2004 .
[50] Pavlo D. Antonenko,et al. Using Electroencephalography to Measure Cognitive Load , 2010 .
[51] Paul Vedder,et al. Goal-Directed Behavior and Contextual Factors in the Classroom: An Innovative Approach to the Study of Multiple Goals , 2006 .
[52] Florian Schaub,et al. It's My Data! Tensions Among Stakeholders of a Learning Analytics Dashboard , 2019, CHI.
[53] Amy Ogan,et al. Reframing classroom sensing , 2019, Interactions.
[54] Milos N. Mladenovic,et al. Assessment of Students' Preconceptions in an Introductory Transportation Engineering Course: Case Study at Virginia Tech , 2016 .
[55] Teemu Leinonen,et al. Feeler: supporting awareness and reflection about learning through EEG data , 2015, ARTEL@EC-TEL.
[56] Xavier Ochoa,et al. The RAP system: automatic feedback of oral presentation skills using multimodal analysis and low-cost sensors , 2018, LAK.
[57] Rebecca Ferguson,et al. Human-Centred Learning Analytics , 2019, J. Learn. Anal..
[58] Moira Maguire,et al. Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. , 2017 .
[59] Xavier Ochoa,et al. Multimodal Learning Analytics , 2017 .
[60] Judy Kay,et al. Open learner models and learning analytics dashboards: a systematic review , 2018, LAK.
[61] R. Azevedo. Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues , 2015 .
[62] Ben Daniel,et al. Big Data and analytics in higher education: Opportunities and challenges , 2015, Br. J. Educ. Technol..
[63] María Jesús Rodríguez-Triana,et al. Multimodal Data Value Chain (M-DVC): A Conceptual Tool to Support the Development of Multimodal Learning Analytics Solutions , 2020, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje.
[64] Sharareh R. Niakan Kalhori,et al. Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods , 2018, Interact. Learn. Environ..
[65] Jesper Simonsen,et al. Routledge International Handbook of Participatory Design , 2012 .
[66] Kshitij Sharma,et al. Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data , 2018, J. Comput. Assist. Learn..
[67] J. Morse,et al. Verification Strategies for Establishing Reliability and Validity in Qualitative Research , 2002 .
[68] Roberto Martínez Maldonado,et al. From Data to Insights: A Layered Storytelling Approach for Multimodal Learning Analytics , 2020, CHI.
[69] Dragan Gašević,et al. The privacy paradox and its implications for learning analytics , 2020, LAK.
[70] Dragan Gasevic,et al. Exploring students' sensemaking of learning analytics dashboards: Does frame of reference make a difference? , 2019, LAK.
[71] Ryan Shaun Joazeiro de Baker,et al. Automatic Detection of Learning-Centered Affective States in the Wild , 2015, IUI.
[72] Roberto Martínez Maldonado,et al. Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data , 2019, CHI.
[73] P. Prinsloo,et al. Learning Analytics , 2013 .
[74] Dirk Ifenthaler,et al. Features students really expect from learning analytics , 2016, Comput. Hum. Behav..
[75] Sanna Järvelä,et al. What multimodal data can tell us about the students’ regulation of their learning process? , 2019, Learning and Instruction.
[76] Sidney K. D'Mello,et al. Automatic gaze-based user-independent detection of mind wandering during computerized reading , 2016, User Modeling and User-Adapted Interaction.
[77] J. Borges,et al. A TAXONOMY OF PRIVACY , 2006 .
[78] Benjamin C. Heddy,et al. The Challenges of Defining and Measuring Student Engagement in Science , 2015 .
[79] Linda Corrin,et al. How do students interpret feedback delivered via dashboards? , 2015, LAK.
[80] Simon Buckingham Shum,et al. Where is the teacher? Digital analytics for classroom proxemics , 2020, J. Comput. Assist. Learn..
[81] Haiyi Zhu,et al. Towards Value-Sensitive Learning Analytics Design , 2018, LAK.
[82] A. Alterman,et al. ``A piece of yourself'': Ethical issues in biometric identification , 2003, Ethics and Information Technology.
[83] P. Bonato,et al. Wearable sensors/systems and their impact on biomedical engineering , 2003, IEEE Engineering in Medicine and Biology Magazine.
[84] Dragan Gasevic,et al. A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective , 2020, IEEE Transactions on Learning Technologies.
[85] V. Braun,et al. Using thematic analysis in psychology , 2006 .
[86] Sidney D'Mello,et al. The half-life of cognitive-affective states during complex learning , 2011, Cognition & emotion.
[87] Paulo Blikstein,et al. Multimodal learning analytics , 2013, LAK '13.
[88] Payal Arora,et al. Bottom of the Data Pyramid: Big Data and the Global South , 2016 .
[89] Bertrand Schneider. A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers. , 2020, Journal of visualized experiments : JoVE.
[90] Boban Vesin,et al. Cross-Platform Analytics: A step towards Personalization and Adaptation in Education , 2019, LAK.
[91] Mutlu Cukurova,et al. Supervised machine learning in multimodal learning analytics for estimating success in project-based learning , 2018, J. Comput. Assist. Learn..
[92] María Jesús Rodríguez-Triana,et al. Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research , 2017, IEEE Transactions on Learning Technologies.