Relevant bibliographies by topics / Learning analytics / Dissertations / Theses
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Dissertations / Theses on the topic 'Learning analytics'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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1

Farrell, Tracie. "Affordances of learning analytics for mediating learning." Thesis, Open University, 2018. http://oro.open.ac.uk/57621/.

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Learning analytics acceptance and adoption is a socio-technological endeavour. Understanding how learning analytics impact practice is an important part of demonstrating their value. In the study presented in this thesis, "Mediated Learning" provides a framework through which to describe how learning analytics can impact psychological, social and material aspects of learning, from the perspective of educators and learners. It also offers a structure through which to make recommendations for improving the mediatory effects of learning analytics. A qualitative research design, based on "Grounded
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Komolafe, Tomilayo A. "Data Analytics for Statistical Learning." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/87468.

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The prevalence of big data has rapidly changed the usage and mechanisms of data analytics within organizations. Big data is a widely-used term without a clear definition. The difference between big data and traditional data can be characterized by four Vs: velocity (speed at which data is generated), volume (amount of data generated), variety (the data can take on different forms), and veracity (the data may be of poor/unknown quality). As many industries begin to recognize the value of big data, organizations try to capture it through means such as: side-channel data in a manufacturing oper
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Vujovic, Milica. "Studying collaborative learning space design with multimodal learning analytics." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/673315.

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Research has provided relevant advances in evidence-based design for productive learning. For example, in the field of collaborative learning, there is extensive evidence for some key learning design elements, such as methods of structuring activity sequencing, group formation techniques, and technology mediating collaboration. However, progress has been more limited in the area of evidence-based design of collaborative learning physical spaces. Contradictorily, research on learning spaces and their impact on teaching and learning have been a field of inquiry for decades. Existing studies have
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Gaaw, Stephanie, and Cathleen M. Stützer. "Learning und Academic Analytics in Lernmanagementsystemen (LMS)." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234425.

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Der Einsatz digitaler Medien hat in der nationalen Hochschullehre Tradition. Lernmanagementsysteme (LMS), E-Learning, Blended Learning, etc. sind Schlagwörter im Hochschulalltag. Allerdings stellt sich die Frage, was LMS und Blended Learning im Zeitalter digitaler Vernetzung und der herangewachsenen Generation der “Digital Natives” leisten (können bzw. sollen)? Die Verbreitung neuer Technologien im Zusammenhang mit neuen Lehr- und Lernkonzepten wie OER, MOOCS, etc. macht zudem die Entwicklung von Analytics-Instrumenten erforderlich. Das ist auch im nationalen Diskurs von großem Interesse und l
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Kruse, Gustav, Lotta Åhag, Samuel Dahlback, and Albin Åbrink. "Seco Analytics." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414862.

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Forecasting is a powerful tool that can enable companies to save millions in revenue every year if the forecast is good enough. The problem lies in the good enough part. Many companies today use Excel topredict their future sales and trends. While this is a start it is far from optimal. Seco Analytics aim to solve this issue by forecasting in an informative and easy manner. The web application uses the ARIMA analysis method to accurately calculate the trend given any country and product area selection. It also features external data that allow the user to compare internal data with relevant ex
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Rudzewitz, Björn [Verfasser]. "Learning Analytics in Intelligent Computer-Assisted Language Learning / Björn Rudzewitz." Tübingen : Universitätsbibliothek Tübingen, 2021. http://d-nb.info/1238594751/34.

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Bheda, Anuj. "Predictive analytics of active learning based education." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113509.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 113-115).<br>Learning Analytics (LA) is defined as the collection, measurement, and analysis of data related to student performance such that the feedback from the analytical insights can be used to optimize student learning and improve student outcomes. Blended Learning (BL) is a teaching paradigm that involves a mix of face-to-face interactions in a classroom based setting along wi
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Teo, Hon Jie. "Knowledge Creation Analytics for Online Engineering Learning." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64465.

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The ubiquitous use of computers and greater accessibility of the Internet have triggered widespread use of educational innovations such as online discussion forums, Wikis, Open Educational Resources, MOOCs, to name a few. These advances have led to the creation of a wide range of instructional videos, written documents and discussion archives by engineering learners seeking to expand their learning and advance their knowledge beyond the engineering classroom. However, it remains a challenging task to assess the quality of knowledge advancement on these learning platforms particularly due to th
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Schumacher, Clara [Verfasser], and Dirk [Akademischer Betreuer] Ifenthaler. "Cognitive, metacognitive and motivational perspectives on Learning Analytics : Synthesizing self-regulated learning, assessment, and feedback with Learning Analytics / Clara Schumacher ; Betreuer: Dirk Ifenthaler." Mannheim : Universitätsbibliothek Mannheim, 2020. http://d-nb.info/1204828741/34.

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10

Santiteerakul, Wasana. "Trajectory Analytics." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801885/.

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The numerous surveillance videos recorded by a single stationary wide-angle-view camera persuade the use of a moving point as the representation of each small-size object in wide video scene. The sequence of the positions of each moving point can be used to generate a trajectory containing both spatial and temporal information of object's movement. In this study, we investigate how the relationship between two trajectories can be used to recognize multi-agent interactions. For this purpose, we present a simple set of qualitative atomic disjoint trajectory-segment relations which can be utilize
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11

Galaige, Joy. "Supporting Self-Regulated Learning with Student-Facing Learning Analytics: User-centric Design Guidelines." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/401416.

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Universities are investing heavily in online learning in a bid to remain competitive in a globalized world and in harsh economic times. The need to enhance and strengthen online learning is even greater given the current Covid-19 pandemic that makes it difficult to conduct face-to-face learning sessions due to the need for social distancing. Normally, retention and success rates in online courses are much lower as compared to traditional face-to-face courses – a major concern for universities. This issue is attributed to the lack of adequate self-regulated learning (SRL) skills; a situation, w
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Engström, Linda. "Studenters förväntningar på Learning Analytics inom akademiska utbildningar." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299269.

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Learning Analytics är ett forskningsområde som innefattar insamling, mätning, analysering och rapportering av “big data” om studenter i deras lärmiljö. Syftet är att förstå och optimera studenters lärande, och deras studiemiljöer. Learning Analytics-tjänster kan bland annat hjälpa studenter att få en insikt i hur de bör studera för att vara tidseffektiva eller höja sina studieprestationer. Dessutom kan tjänsterna upptäcka och ge feedback till studenter som riskerar att misslyckas med sina kurser, samt skapa personliga visualiseringar för t.ex. tidsförbrukning per delmoment i en kurs, eller bet
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13

Kovanovic, Vitomir. "Assessing cognitive presence using automated learning analytics methods." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28759.

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With the increasing pace of technological changes in the modern society, there has been a growing interest from educators, business leaders, and policymakers in teaching important higher-order skills which were identified as necessary for thriving in the present-day globalized economy. In this regard, one of the most widely discussed higher order skills is critical thinking, whose importance in shaping problem solving, decision making, and logical thinking has been recognized. Within the domain of distance and online education, the Community of Inquiry (CoI) model provides a pedagogical framew
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Mazzoleni, Mirko (ORCID:0000-0002-7116-135X). "Learning meets control. Data analytics for dynamical systems." Doctoral thesis, Università degli studi di Bergamo, 2018. http://hdl.handle.net/10446/104812.

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System identification has always been one of the main research focuses of the control community, since the early steps of the automatic control field. The development of a dynamical system’s models from experimental data is instrumental for understanding the plant under study and designing its model-based control scheme. In the last decade, a cross-fertilization began between the System Identification and the Statistical Learning communities. This led firstly to the introduction of regularization techniques in system identification, and, more recently, to the application of kernel methods to
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DI, GIACOMO UMBERTO ANTONIO. "Machine learning and formal methods for sport analytics." Doctoral thesis, Università degli studi del Molise, 2022. https://hdl.handle.net/11695/115353.

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L’obiettivo principale del mio periodo di Dottorato riguarda il concetto della Soccer Analytics. Durante gli ultimi anni la Soccer Analytics ha registrato un’enorme diffusione. Di solito, in quest’ambito, i ricercatori si sono concentrati sulla predizione dei risultati delle partite anche se, soprattutto negli ultimi tempi, c’è stata un’attenzione particolare nello studio dei dati posizionali. Il mio periodo di Dottorato può essere diviso in tre parti fondamentali: nella prima parte ho preso in considerazione l’analisi e lo studio delle attività svolte dall’uomo; nella seconda parte, mi sono
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Ricker, Gina Maria. "Student Learning Management System Interactions and Performance via a Learning Analytics Perspective." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6656.

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Enrollment in full-time, virtual, K-12 schools is increasing while mathematics performance in these institutions is lacking compared to national averages. Scholarly literature lacks research studies using learning analytics to better predict student outcomes via student learning management system (LMS) interactions, specifically in the low performing area of middle school mathematics. The theoretical framework for this study was a combination of Hrastinski's theory of online learning as online participation and Moore's 3 types of interactions model of online student behavior. The purpose of th
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17

Carpani, Valerio. "CNN-based video analytics." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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The content of this thesis illustrates the six months work done during my internship at TKH Security Solutions - Siqura B.V. in Gouda, Netherlands. The aim of this thesis is to investigate on convolutional neural networks possible usage, from two different point of view: first we propose a novel algorithm for person re-identification, second we propose a deployment chain, for bringing research concepts to product ready solutions. In existing works, the person re-identification task is assumed to be independent of the person detection task. In this thesis instead, we consider the two ta
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18

Gaaw, Stephanie, and Cathleen M. Stützer. "Learning und Academic Analytics in Lernmanagementsystemen (LMS): Herausforderungen und Handlungsfelder im nationalen Hochschulkontext." TUDpress, 2017. https://tud.qucosa.de/id/qucosa%3A30891.

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Der Einsatz digitaler Medien hat in der nationalen Hochschullehre Tradition. Lernmanagementsysteme (LMS), E-Learning, Blended Learning, etc. sind Schlagwörter im Hochschulalltag. Allerdings stellt sich die Frage, was LMS und Blended Learning im Zeitalter digitaler Vernetzung und der herangewachsenen Generation der “Digital Natives” leisten (können bzw. sollen)? Die Verbreitung neuer Technologien im Zusammenhang mit neuen Lehr- und Lernkonzepten wie OER, MOOCS, etc. macht zudem die Entwicklung von Analytics-Instrumenten erforderlich. Das ist auch im nationalen Diskurs von großem Interesse und l
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19

Pienaar, Celia. "Machine learning in predictive analytics on judicial decision-making." Master's thesis, Faculty of Science, 2021. http://hdl.handle.net/11427/33925.

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Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge in the era of big data, increasingly complex regulatory and legislative frameworks and volatile financial markets. Although largely limited to information retrieval and extraction, Machine Learning applications targeted at the legal domain have to some extent become mainstream. The startup market is rife with legal technology providers with many major law firms encouraging research and development through formal legal technology incubator programs. Experienced legal professionals are expected to
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20

Lambert, Glenn M. II. "Security Analytics: Using Deep Learning to Detect Cyber Attacks." UNF Digital Commons, 2017. http://digitalcommons.unf.edu/etd/728.

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Security attacks are becoming more prevalent as cyber attackers exploit system vulnerabilities for financial gain. The resulting loss of revenue and reputation can have deleterious effects on governments and businesses alike. Signature recognition and anomaly detection are the most common security detection techniques in use today. These techniques provide a strong defense. However, they fall short of detecting complicated or sophisticated attacks. Recent literature suggests using security analytics to differentiate between normal and malicious user activities. The goal of this research is to
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21

Walker, Daniel David. "Bayesian Test Analytics for Document Collections." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3530.

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Modern document collections are too large to annotate and curate manually. As increasingly large amounts of data become available, historians, librarians and other scholars increasingly need to rely on automated systems to efficiently and accurately analyze the contents of their collections and to find new and interesting patterns therein. Modern techniques in Bayesian text analytics are becoming wide spread and have the potential to revolutionize the way that research is conducted. Much work has been done in the document modeling community towards this end,though most of it is focused on mode
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Santhanagopalan, Meena. "Biopsychosocial Data Analytics and Modeling." Thesis, Federation University Australia, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/177435.

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Sustained customisation of digital health intervention (DHI) programs, in the context of community health engagement, requires strong integration of multi-sourced interdisciplinary biopsychosocial health data. The biopsychosocial model is built upon the idea that biological, psychological and social processes are integrally and interactively involved in physical health and illness. One of the longstanding challenges of dealing with healthcare data is the wide variety of data generated from different sources and the increasing need to learn actionable insights that drive performance improvement
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Singh, Vivek Kumar. "Essays on Cloud Computing Analytics." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7943.

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This dissertation research focuses on two key aspects of cloud computing research – pricing and security using data-driven techniques such as deep learning and econometrics. The first dissertation essay (Chapter 1) examines the adoption of spot market in cloud computing and builds IT investment estimation models for organizations adopting cloud spot market. The second dissertation essay (Chapter 2 and 3) studies proactive threat detection and prediction in cloud computing. The final dissertation essay (Chapter 4) develops a secured cloud files system which protects organizations using cloud co
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DI, PIETRO ANASTASIA. "Learning analytics, LMS e piattaforme digitali: soluzioni innovative per apprendimenti student-centered." Doctoral thesis, Università di Foggia, 2021. https://hdl.handle.net/11369/425211.

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Allo stato attuale, nonostante l’interconnessione tra i settori educativi ed informatici, assistiamo ad un contesto in cui i sistemi per la didattica digitale e multimediale sono ancora principalmente centrati sul docente o gli amministratori; i modelli culturali di riferimento risultano ancora fortemente tecnocentrici tralasciando il valore e l’importanza delle metodologie didattiche innovative. Il progetto rivolge la sua attenzione al potenziamento degli ambienti digitali di apprendimento con lo scopo di garantire un’offerta sempre più personalizzata, basata su metodologie attive e un
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Sarzosa, Daniela, Jorge Maldonado, Jimmy Pérez, and Daniel Navarrete. "Experiencias exitosas en el uso de learning analytics en educación superior." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/624838.

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Índice del video: Daniel Navarrete (00:19 - 23:50); Daniela Sarzosa (24:00 - 47:12); Jorge Maldonado (48:30-1:13:30); Jimmy Pérez (1:13:30 - 1:13:55)<br>Primera meetup del 2019 de la comunidad Learning Analytics Perú, donde se conversó sobre experiencias de éxito en el uso de herramientas, estrategias y métodos que han conducido a resultados satisfactorios en la aplicación estratégica de los datos en Educación Superior, de la mano de profesionales de Perú, Colombia y Ecuador... Evento realizado el 9 de enero de 2019 en la Universidad Peruana de Ciencias Aplicadas, campus San Isidro, auditor
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Rao, Rashmi Jayathirtha. "Modeling learning behaviour and cognitive bias from web logs." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492560600002105.

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Cao, Xi Hang. "On Leveraging Representation Learning Techniques for Data Analytics in Biomedical Informatics." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/586006.

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Computer and Information Science<br>Ph.D.<br>Representation Learning is ubiquitous in state-of-the-art machine learning workflow, including data exploration/visualization, data preprocessing, data model learning, and model interpretations. However, the majority of the newly proposed Representation Learning methods are more suitable for problems with a large amount of data. Applying these methods to problems with a limited amount of data may lead to unsatisfactory performance. Therefore, there is a need for developing Representation Learning methods which are tailored for problems with ``small
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Lukarov, Vlatko [Verfasser], Ulrik [Akademischer Betreuer] Schroeder, and Katrien [Akademischer Betreuer] Verbert. "Scaling up learning analytics in blended learning scenarios / Vlatko Lukarov ; Ulrik Schroeder, Katrien Verbert." Aachen : Universitätsbibliothek der RWTH Aachen, 2019. http://d-nb.info/1194184243/34.

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Amarasinghe, Ishari. "The Orchestration of computer-supported collaboration scripts with learning analytics." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/670420.

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Computer-supported collaborative learning (CSCL) creates avenues for productive collaboration between students. In CSCL, collaborative learning flow patterns (CLFPs) provide pedagogical rationale and constraints for structuring the collaboration process. While structured collaboration facilitates the design of favourable learning conditions, orchestration of collaboration becomes an important factor, as learner participation and real-world constraints can create deviations in real time. On the one hand, limited research has examined the orchestration challenges related to collaborative learnin
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Singhal, Mudita. "Improving protein interactions prediction using machine learning and visual analytics." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/m_singhal_112707.pdf.

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Aberg, Cobo Ignacio. "Using behavioral analytics and machine learning to improve churn management." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111464.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 36).<br>New trends are shaping the telecommunications, media and technology (TMT) industries. Consumers are demanding to be connected anytime to hundreds of thousands of applications that are one click away. In addition, loyalty levels are decreasing and customers do not hesitate to switch providers if they do not receive value for their money. Because of this, churn management is a key driver of profits. However, few compa
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Wang, Junpeng. "Interpreting and Diagnosing Deep Learning Models: A Visual Analytics Approach." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555499299957829.

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Anne, Chaitanya. "Advanced Text Analytics and Machine Learning Approach for Document Classification." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2292.

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Text classification is used in information extraction and retrieval from a given text, and text classification has been considered as an important step to manage a vast number of records given in digital form that is far-reaching and expanding. This thesis addresses patent document classification problem into fifteen different categories or classes, where some classes overlap with other classes for practical reasons. For the development of the classification model using machine learning techniques, useful features have been extracted from the given documents. The features are used to classify
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Bodily, Robert Gordon. "Designing, Developing, and Implementing Real-Time Learning Analytics Student Dashboards." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7258.

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This document is a multiple-article format dissertation that discusses the iterative design, development, and evaluation processes necessary to create high quality learning analytics dashboard systems. With the growth of online and blended learning environments, the amount of data that researchers and practitioners collect from learning experiences has also grown. The field of learning analytics is concerned with using this data to improve teaching and learning. Many learning analytics systems focus on instructors or administrators, but these tools fail to involve students in the data-driven d
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Chen, Xin. "Be the Data: Embodied Visual Analytics." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/72287.

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With the rise of big data, it is becoming increasingly important to educate students about data analytics. In particular, students without a strong mathematical background usually have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods, such as dimension reduction. In this thesis, we present an embodied approach for visual analytics designed to teach students exploring alternative 2D projections of high dimensional data points using weighted multidimensional scaling. We proposed a novel application, Be the Data, to
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Ng, Wartini. "Contemporary data analytics for soil spectroscopy." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/21071.

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No soil, no life. Know soil, know life. Soil provides the basis for life. To promote soil security, soil monitoring is essential. However, conventional methods of soil analysis are costly and time-consuming. This thesis explores contemporary data analytics for analyzing soil infrared spectroscopy data. New data analytics take soil infrared spectral data and convert them to soil properties that are useful for assessing its conditions. This thesis deals with issues of sampling, spectral reduction techniques, deep learning models, and application in soil contamination assessment. Soil spectral da
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Gibson, Andrew P. "Reflective writing analytics and transepistemic abduction." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/106952/1/Andrew_Gibson_Thesis.pdf.

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This thesis presents a model of Reflective Writing Analytics which brings together two distinct ways of knowing: the human world of individuals in society, and the machine world of computers and mathematics. The thesis presents a specialised mode of reasoning called Transepistemic Abduction which provides a way of justifying intuition and heuristic approaches to computational analysis of reflective writing.
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Chen, Jingjing. "Enhancing student engagement and interaction in e-learning environments through learning analytics and wearable sensing." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/287.

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E-learning refers to computer-based learning experiences, self-paced or instructor-led, supported and enabled by information technology. Virtual Learning Environments (VLEs), as a major form of e-learning systems, are increasingly adopted in universities and educational institutions for supporting various types of learning. Student engagement is critical for successful teaching and learning in VLEs. In existing VLEs, feeling isolated without adequate supervision from teachers may cause negative emotions such as anxiety. Such emotions may in turn significantly weaken students'motivation to enga
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Jofre, Alegria Maria Paz. "Fighting Accounting Fraud through Forensic Analytics." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17826.

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Accounting Fraud is one of the most harmful financial crimes as it often results in massive corporate collapses, commonly silenced by powerful high-status executives and managers. Accounting fraud represents a significant threat to the financial system stability due to the resulting diminishing of the market confidence and trust of regulatory authorities. Its catastrophic consequences expose how vulnerable and unprotected the community is in regards to this matter, since most damage is inflicted to investors, employees, customers and government. Accounting fraud is defined as the calculated m
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Navarrete, Daniel. "Learning Analytics Perú: Plataforma de desarrollo para la Analítica del Aprendizaje en el Perú." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/624844.

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Accede a la filmación de la conferencia en : http://hdl.handle.net/10757/624838<br>Presentación realizada en el marco de la primera meetup del 2019 de la comunidad Learning Analytics Perú, donde se conversó sobre experiencias de éxito en el uso de herramientas, estrategias y métodos que han conducido a resultados satisfactorios en la aplicación estratégica de los datos en Educación Superior, de la mano de profesionales de Perú, Colombia y Ecuador.
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Siameh, Theophilus. "Graph Analytics Methods In Feature Engineering." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3307.

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High-dimensional data sets can be difficult to visualize and analyze, while data in low-dimensional space tend to be more accessible. In order to aid visualization of the underlying structure of a dataset, the dimension of the dataset is reduced. The simplest approach to accomplish this task of dimensionality reduction is by a random projection of the data. Even though this approach allows some degree of visualization of the underlying structure, it is possible to lose more interesting underlying structure within the data. In order to address this concern, various supervised and unsupervised l
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Di, Silvestro Lorenzo Paolo. "Data Mining and Visual Analytics Techniques." Doctoral thesis, Università di Catania, 2014. http://hdl.handle.net/10761/1559.

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With the beginning of the Information Age and the following spread of the information overload phenomenon, it has been mandatory to develop a means to simply explore, analyze and summarize large quantity of data. To achieve this purposes a data mining techniques and information visualization methods are used since decades. In the last years a new research field is gaining importance: Visual Analytics, an outgrowth of the fields of scientific and information visualization but includes technologies from many other fields, including knowledge management, statistical analysis, cognitive science an
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Sarzosa, Daniela. "Laboratoria: Talent that transforms." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/624845.

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Accede a la filmación de la conferencia en : http://hdl.handle.net/10757/624838<br>Presentación realizada en el marco de la primera meetup del 2019 de la comunidad Learning Analytics Perú, donde se conversó sobre experiencias de éxito en el uso de herramientas, estrategias y métodos que han conducido a resultados satisfactorios en la aplicación estratégica de los datos en Educación Superior, de la mano de profesionales de Perú, Colombia y Ecuador.
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44

Pérez, Jimmy. "Uso Estratégico de la Información de estudiantes de Educación Superior." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/624846.

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Parte de la conferencia: Experiencias exitosas en el uso de learning analytics en educación superior. Accede a la filmación de la conferencia en : http://hdl.handle.net/10757/624838<br>Presentación realizada en el marco de la primera meetup del 2019 de la comunidad Learning Analytics Perú, donde se conversó sobre experiencias de éxito en el uso de herramientas, estrategias y métodos que han conducido a resultados satisfactorios en la aplicación estratégica de los datos en Educación Superior, de la mano de profesionales de Perú, Colombia y Ecuador.
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Maldonado, Jorge. "LALA Project: Building capacity to use a Learning Analytics to improve higher education in Latin América." Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/624847.

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Parte de la conferencia: Experiencias exitosas en el uso de learning analytics en educación superior. Accede a la filmación de la conferencia en : http://hdl.handle.net/10757/624838<br>Presentación realizada en el marco de la primera meetup del 2019 de la comunidad Learning Analytics Perú, donde se conversó sobre experiencias de éxito en el uso de herramientas, estrategias y métodos que han conducido a resultados satisfactorios en la aplicación estratégica de los datos en Educación Superior, de la mano de profesionales de Perú, Colombia y Ecuador.
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Janmohammadi, Siamak. "Classifying Pairwise Object Interactions: A Trajectory Analytics Approach." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801901/.

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We have a huge amount of video data from extensively available surveillance cameras and increasingly growing technology to record the motion of a moving object in the form of trajectory data. With proliferation of location-enabled devices and ongoing growth in smartphone penetration as well as advancements in exploiting image processing techniques, tracking moving objects is more flawlessly achievable. In this work, we explore some domain-independent qualitative and quantitative features in raw trajectory (spatio-temporal) data in videos captured by a fixed single wide-angle view camera sensor
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Malazgirt, Gorker Alp. "Advanced analytics through FPGA based query processing and deep reinforcement learning." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/665699.

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Today, vast streams of structured and unstructured data have been incorporated in databases, and analytical processes are applied to discover patterns, correlations, trends and other useful relationships that help to take part in a broad range of decision-making processes. The amount of generated data has grown very large over the years, and conventional database processing methods from previous generations have not been sufficient to provide satisfactory results regarding analytics performance and prediction accuracy metrics. Thus, new methods are needed in a wide array of fields from compute
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Dyckhoff, Anna Lea [Verfasser]. "Action research and learning analytics in higher education / Anna Lea Dyckhoff." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1065353847/34.

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Parikh, Neena (Neena S. ). "Interactive tools for fantasy football analytics and predictions using machine learning." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100687.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 83-84).<br>The focus of this project is multifaceted: we aim to construct robust predictive models to project the performance of individual football players, and we plan to integrate these projections into a web-based application for in-depth fantasy football analytics. Most existing statistical tools for the NFL are limited to the use of macro-level data; this research looks to explore st
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Fosca, Gamarra Almudena. "Predicción de precios de commoditties empleando data analytics y machine learning." Bachelor's thesis, Pontificia Universidad Católica del Perú, 2019. http://hdl.handle.net/20.500.12404/17338.

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Esta investigación explorará las aplicaciones de herramientas de Machine Learning en el campo financiero. Se incluyen trabajos previos para el pronóstico de acciones, índices bursátiles y commodities, pudiendo comparar y contrastar los resultados obtenidos al aplicar diversos algoritmos. De esta forma, se emplean los estudios previos presentados como base para la elaboración de una tesis de bachillerato que tiene como objetivo pronosticar el precio del cobre empleando modelos de Machine Learning.<br>Trabajo de investigación
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