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Thèses sur le sujet « Personalization of Learning »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Anderson, Corin R. "A machine learning approach to Web personalization /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6875.

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Clement, Benjamin. "Adaptive Personalization of Pedagogical Sequences using Machine Learning." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0373/document.

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Les ordinateurs peuvent-ils enseigner ? Pour répondre à cette question, la recherche dans les Systèmes Tuteurs Intelligents est en pleine expansion parmi la communauté travaillant sur les Technologies de l'Information et de la Communication pour l'Enseignement (TICE). C'est un domaine qui rassemble différentes problématiques et réunit des chercheurs venant de domaines variés, tels que la psychologie, la didactique, les neurosciences et, plus particulièrement, le machine learning. Les technologies numériques deviennent de plus en plus présentes dans la vie quotidienne avec le développement des

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Khaled, Mélissa. "Learning styles, Personalization, and Learning Management Systems : Towards a Student-Centred LMS Approach." Thesis, Uppsala universitet, Institutionen för ABM, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447989.

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This study investigates existing learning management systems practices, in this case Canvas and Moodle in relation to user personalization and students’ learning styles as both factors are closely contribute to the design of a meaningful learning experience for learners. With the expansion of these teaching tools and methods, it seems crucial to determine to what extent they actually serve the learner and what role is really given to the student using these online platforms. Factors such as instructors’ feedback, peer communication, learning objects and follow-up will be examined. This study i

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Baldiris, Navarro Silvia Margarita. "Supporting competence development processes on open learning systems through personalization." Doctoral thesis, Universitat de Girona, 2012. http://hdl.handle.net/10803/98478.

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This thesis aim for promoting the learning objects economy by offering teacher the possibility of generating adaptive and standardized learning designs. The adaptation of the generated learning design considers two of the most relevant users characteristic: their competences and their learning styles. Standardized and Adaptive Learning Design Generation Process was implemented using HTN planning. Generation process considers a few inputs from the teachers, in particular, those related with the standardized competence definition, the learning objects metadata as well as the data from the initia

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FERRARI, ANNA. "Personalization of Human Activity Recognition Methods using Inertial Data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/305222.

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Recognizing human activities and monitoring population behavior are fun- damental needs of our society. Population security, crowd surveillance, healthcare support and living assistance, lifestyle and behavior tracking are some of the main applications which require the recognition of activities. Activity recognition involves many phases, i.e. the collection, the elaboration and the analysis of information about human activities and behavior. These tasks can be fulfilled manually or automatically, even though a human-based recognition system is not long-term sustainable and scalable. Neverthel

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Abou-Khalil, Victoria. "Supporting Learner Centered Vocabulary Learning in Informal Learning Environments." Kyoto University, 2020. http://hdl.handle.net/2433/253413.

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付記する学位プログラム名: デザイン学大学院連携プログラム<br>Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(情報学)<br>甲第22577号<br>情博第714号<br>新制||情||122(附属図書館)<br>京都大学大学院情報学研究科社会情報学専攻<br>(主査)教授緒方広明, 教授守屋和幸, 教授黒田知宏<br>学位規則第4条第1項該当

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Wallin, Jonatan. "Optimization and personalization of a web service based on temporal information." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149712.

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Development in information and communication technology has increased the attention of personalization in the 21st century and the benefits to both marketers and customers are claimed to be many. The need to efficiently deliver personalized content in different web applications has increased the interest in the field of machine learning. In this thesis project, the aim is to develop a decision model that autonomously optimizes a commercial web service to increase the click through rate. The model should be based on previously collected data about previous usage of the web service. Different re

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Chatti, Mohamed Amine [Verfasser]. "Personalization in Technology Enhanced Learning : A Social Software Perspective / Mohamed Amine Chatti." Aachen : Shaker, 2010. http://d-nb.info/1084536196/34.

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Vu, Manh Vu Duy. "Online Education : A study about students motivations and personalization." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43479.

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Because of the pandemic Coronavirus and proposals from the Swedish Public Health Agency, schools in Sweden had to adjust their teaching to distance education. The purpose of this study is to study students' motivation, understand what is inspiring for students, many students lack inspiration. Personalization in education, what kind of support could we give the students. Understand personalization from the students perspective different students need different help, make the students feel like they get personalized help. Hands on, how do we apply things that are theoretical to the practical. Th

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Astin, Paul. "Personalization in small learning communities supporting teachers' new roles in a conversion small learning community middle school /." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1693037431&sid=3&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Ho, Sin-ting, and 何倩婷. "Effects of personalization and action choices on students' intrinsic motivation towards completing assignments and learning performance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hdl.handle.net/10722/196503.

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The study examines whether different kinds of choices provided in assignment for students can promote students’ intrinsic motivation towards completing assignment and their learning performance in mathematics. A total of 55 primary 5 students were recruited in 2 schools for an after-school programme. The participants were randomly assigned to three treatment conditions: 1) personalization choice, 2) action choice, and 3) no-choice control condition. Results from planned contrast tests showed that provision of action choice improved students’ perception of choice (autonomy) in doing assignment.

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Johansson, Axel, and Jonas Wikström. "Customer segmentation using machine learning." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443868.

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In this thesis, the process of developing an application for segmenting customers with the use of machine learning is described. The project was carried out at a company which provides a booking platform for beauty and health services. Data about customers were analyzed and processed in order to train two classification models able to segment customers into three different customer groups. The performance of the two models, a Logistic Regression model and a Support Vector Classifier, were evaluated with different numbers of features and compared to classifications made by human experts working

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Ozpolat, Ebru. "A Framework For A Personalized E-learning System." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610612/index.pdf.

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This thesis focuses on three of the main components of an e-learning system: Infrastructure model, data integration and personalization. For the infrastructure model, our aim is to get best use of heterogeneously structured, geographically distributed data resources. Therefore, a detailed analysis of the available infrastructure models is carried out and an open source reference implementation based on grid technology is implemented. Furthermore, a simple data integration mechanism is proposed for the suggested reference implementation. For personalization, a statistical algorithm is propose

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Sparger, Todd. "AN INVESTIGATION OF IMPLEMENTATIONS OF SMALLER LEARNING COMMUNITIES IN FLORIDA HIGH SCHOOLS." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2544.

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The issue of high school reform has received national attention during the first part of the 21st century. One idea brought forth in this restructuring effort has been the desire to create high schools with smaller student populations. However, in an era of tight budgets, where resources are not always available to build more schools, educators have explored the possibility of dividing existing large high schools into smaller units. This restructuring approach has many titles, but is frequently referred to as a Smaller Learning Community (SLC). Since 2000, the federal government has pledged $2

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Cappon, Giacomo. "Open-loop insulin dosing personalization in type 1 diabetes using continuous glucose monitoring data and patient characteristics." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425798.

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Patients with type 1 diabetes (T1D) require lifelong insulin therapy in order to maintain their blood glucose (BG) concentration within the euglycemic range preventing long-term complications associated with hyperglycemia and avoid- ing dangerous episodes of hypoglycemia. To achieve proper glycemic con- trol, people with T1D need to perform a constant learning process about how daily conditions (e.g. insulin administrations, meals schedule and composi- tion, physical activity, and illness) affect BG levels. More than 500,000 op- erations can be needed during the lifetime of a T1D patient to ma

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Safran, Mejdl Sultan. "EFFICIENT LEARNING-BASED RECOMMENDATION ALGORITHMS FOR TOP-N TASKS AND TOP-N WORKERS IN LARGE-SCALE CROWDSOURCING SYSTEMS." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1511.

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A pressing need for efficient personalized recommendations has emerged in crowdsourcing systems. On the one hand, workers confront a flood of tasks, and they often spend too much time to find tasks matching their skills and interests. Thus, workers want effective recommendation of the most suitable tasks with regard to their skills and preferences. On the other hand, requesters sometimes receive results in low-quality completion since a less qualified worker may start working on a task before a better-skilled worker may get hands on. Thus, requesters want reliable recommendation of the best wo

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Shi, Fanjuan. "A Smart Marketing Personalization Methodology Based On Real-Time Contextualisation In The Era of Big Data." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE3019/document.

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La personnalisation peut améliorer la pertinence et l'utilité des communications marketing B2C. Cependant, ce n'est pas la panacée pour tous les défis marketing B2C. Dans le but de renforcer la pertinence et l'utilité des contenus de marketing personnalisés, nous proposons une approche de personnalisation marketing contextuelle qui permet d'analyser les comportements d’achat cross-canaux, d'interpréter les intentions du consommateur, de détecter l'état cognitif des consommateurs et d'utiliser la stratégie de personnalisation appropriée pour générer et afficher des contenus marketing personnali

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Khoshkangini, Reza. "Personalized Game Content Generation and Recommendation for Gamified Systems." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3424854.

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Gamification, that is, the usage of game content in non-game contexts, has been successfully employed in several application domains to foster engagement, as well as to influence the behavior of end users. Although gamification is often effective in inducing behavioral changes in citizens, the difficulty in retaining players and sustaining the acquired behavior over time, shows some limitations of this technology. That is especially unfortunate, because changing players’ demeanor (which have been shaped for a long time), cannot be immediately internalized; rather, the gamification incentive mu

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Holder, David E. "Heard but not seen: Instructor-led video and its effect on learning." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9090/.

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Educators and instructional designers are seeking ways to increase levels of learning. One of the ways this is being done is through cognitive load theory which attempts to reduce cognitive load through a better understanding of working memory and the factors that impact its function. Past studies have found that working memory processes visual and auditory information using separate and non-sharable resources (dual coding theory) and that by properly utilizing multimedia elements, information processing in working memory is more efficient (multimedia learning). What is not known is the effe

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Mayeku, Betty [Verfasser], Dieter [Akademischer Betreuer] Hogrefe, Ulrike [Akademischer Betreuer] Lucke, and Eckart [Akademischer Betreuer] Modrow. "Enhancing Personalization and Learner Engagement in Context-aware Learning Environment - Pedagogical and Technological Perspective / Betty Mayeku. Betreuer: Dieter Hogrefe. Gutachter: Ulrike Lucke ; Eckart Modrow." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2015. http://d-nb.info/1077362455/34.

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Ezzat, Labib Awad Ahmed. "Enforcing Customization in e-Learning Systems: an ontology and product line-based approach." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90515.

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In the era of e-Learning, educational materials are considered a crucial point for all the stakeholders. On the one hand, instructors aim at creating learning materials that meet the needs and expectations of learners easily and effec-tively; On the other hand, learners want to acquire knowledge in a way that suits their characteristics and preferences. Consequently, the provision and customization of educational materials to meet the needs of learners is a constant challenge and is currently synonymous with technological devel-opment. Promoting the personalization of learning materials, espec

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Eriksson, Henrik. "Federated Learning in Large Scale Networks : Exploring Hierarchical Federated Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-292744.

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Federated learning faces a challenge when dealing with highly heterogeneous data and it can sometimes be inadequate to adopt an approach where a single model is trained for usage at all nodes in the network. Different approaches have been investigated to succumb this issue such as adapting the trained model to each node and clustering the nodes in the network and train a different model for each cluster where the data is less heterogeneous. In this work we study the possibilities to improve the local model performance utilizing the hierarchical setup that comes with clustering the participatin

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BASSANI, ELIAS. "Neural Approaches to Personalized Search." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2023. https://hdl.handle.net/10281/404515.

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I recenti progressi nella ricerca sulle Artificial Neural Networks (reti neurali) hanno fatto avanzare lo stato dell'arte in molti task legati al linguaggio, tra cui l'Information Retrieval, offrendo nuove opportunità per rappresentare e sfruttare le informazioni relative all'utente durante la personalizzazione. Tuttavia, la loro applicazione nel contesto della Personalized Search è ancora un'area di ricerca aperta, con molte questioni e sfide da affrontare. In questa tesi, ci concentriamo sulla rappresentazione delle preferenze dell'utente da più prospettive, sulla gestione e sulla selezione

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OLSSON, ANNA. "Developing a framework for opportunity assessment of when to utilize machine learning to create data-driven products." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239547.

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In!recent years, machine!learning has developed to the!extent that it can be utilized and implemented to create business value in organizations by either reducing costs or increasing innovation and growth opportunities. Machine learning can unlock possibilities to create a better! product and experience, and thereby aid in gaining a stronger position in the industry. With millions of users traveling through their e2commerce platform, the case company of this thesis, a subscription based digital service company, has the potential tocreate an improved customer experience using optimization a

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Roy, Didier. "Optimisation et personnalisation des parcours d'apprentissage à l'aide des technologies numériques." Thesis, Paris, CNAM, 2015. http://www.theses.fr/2015CNAM1017/document.

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Depuis le « Plan Informatique Pour Tous » de 1985, les technologies numériques ne cessent d'occuper une place grandissante dans l'enseignement : manuels numériques, logiciels de géométrie dynamique, learning games, e-learning, blended learning, MOOC, classes inversées, robotique éducative, etc.L'ambition de nos travaux est de montrer que certaines de ces technologies peuvent contribuer à améliorer les apprentissages, en dynamisant les contenus, en accentuant la motivation des étudiants, en proposant des dispositifs adaptés à la formation à distance, en personnalisant les parcours pédagogiques.

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Normark, Anna, and Rebecca Oskarsson. "Individualizing Without Excluding: Ethical And Technical Challenges : Filter Bubbles and their Effects on Society." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351925.

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In December 2009 Google had a press release, in which they stated that they would start individualize their users' search results. This is the year individualization began, according to Eli Pariser, who also coined the expression filter bubble. A filter bubble is said to occur when a user only receives individualized feeds, causing them to only consume information that align with their beliefs and excluding them from contradicting information. The main goal of this thesis is to evaluate the existence of filter bubbles and the effects of them. In order to reach the goal, an experiment on a larg

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Lindström, Sofia, Sebastian Edemalm, and Erik Reinholdsson. "Marketers are Watching You : An exploration of AI in relation to marketing, existential threats, and opportunities." Thesis, Jönköping University, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52744.

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Background: As of today, it is apparent that with the ever-changing demands and needs of customers, companies are facing enormous pressure to deliver the right value, on time, in the right way, and proper manner. To realize the full potential of Artificial Intelligence (AI), a careful plan and method need to be established in the development and deployment when incorporating the technology with marketing. Technology is evolving at a rapid pace and Artificial Intelligence (AI) can be found in a variety of applications. AI in marketing can provide valuable data clusterization and insights for pe

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Agbele, Kehinde Kayode. "Context-awareness for adaptive information retrieval systems." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/3845.

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Philosophiae Doctor - PhD<br>This research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking of documents retrieved from IRS. In this thesis, we present two aspects of context-awareness in IR. Firstly, the design of context of information. The context of a query determines retrieved information relevance. Thus, executing the same query in diverse contexts often leads to diverse result rankings. Secondly, the relevant context aspects should be incorporated in a way that support

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Ahlberg, Sara. "Kommunikation i särskolan : En kvalitativ studie om kommunikation kopplat till individanpassad musikundervisning." Thesis, Linnéuniversitetet, Institutionen för musik och bild (MB), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-84827.

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Individualized teaching in schools with children with learning disabilities is a prerequisite, in order to be able to convey knowledge and teaching in an educational and developing way. The purpose of this study is to explore how musical communication can be used in school's with children with learning disabilities in different ways and how teachers can create an individualized teaching through this, during the music lessons. The study's result describes the interviews that have been conducted that have occurred in varied locations around Sweden with teachers in the subject area music in learn

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Gotardo, Reginaldo Aparecido. "Uma abordagem de sistema de recomendação orientada pelo aprendizado sem fim." Universidade Federal de São Carlos, 2014. https://repositorio.ufscar.br/handle/ufscar/292.

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Made available in DSpace on 2016-06-02T19:03:59Z (GMT). No. of bitstreams: 1 6340.pdf: 3337556 bytes, checksum: 693a6a9cfb4dc2a26651724099fcf890 (MD5) Previous issue date: 2014-02-28<br>Financiadora de Estudos e Projetos<br>Recommender Systems have a very well defined function: recommend something to someone. Through Artificial Intelligence techniques, more particularly from areas such as Data Mining and Machine Learning, it is possible to build recommendation systems. These systems will analyze large amounts of data and will inform users about some items that will probably interest them.

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Myers, Monica M. "High School Experiences of Student Advisory in Fostering Resilience." Ashland University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ashland1628091883398647.

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Frenoy, Rémy. "Modélisation de l'activité gestuelle et sélection automatique de feedback pour des environnements interactifs d'apprentissage : application à la calligraphie." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2297/document.

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L'apprentissage de geste est un processus complexe, impliquant de nombreux processus sous-jacents (psychomoteurs, cognitifs, biophysiques). Cet apprentissage peut être divisé en plusieurs grandes phases, définies par la capacité de l'apprenant à produire et à percevoir son geste. A l'instar d'un formateur adaptant son discours et son attitude à l'apprenant, un environnement d'apprentissage doit pouvoir adapter les aides qu'il fournit, d'une part en analysant l'état de l'apprenant, et d'autre part en prédisant les aides qui bénéficieront à son apprentissage. Nous proposons une approche modélisa

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Mainsant, Marion. "Apprentissage continu sous divers scénarios d'arrivée de données : vers des applications robustes et éthiques de l'apprentissage profond." Electronic Thesis or Diss., Université Grenoble Alpes, 2023. http://www.theses.fr/2023GRALS045.

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Le cerveau humain reçoit en continu des informations en provenance de stimuli externes. Il a alors la capacité de s’adapter à de nouvelles connaissances tout en conservant une mémoire précise de la connaissance apprise par le passé. De plus en plus d’algorithmes d’intelligence artificielle visent à apprendre des connaissances à la manière d’un être humain. Ils doivent alors être mis à jour sur des données variées arrivant séquentiellement et disponibles sur un temps limité. Cependant, un des verrous majeurs de l’apprentissage profond réside dans le fait que lors de l’apprentissage de nouvelles

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Roy, Didier. "Optimisation et personnalisation des parcours d'apprentissage à l'aide des technologies numériques." Electronic Thesis or Diss., Paris, CNAM, 2015. http://www.theses.fr/2015CNAM1017.

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Depuis le « Plan Informatique Pour Tous » de 1985, les technologies numériques ne cessent d'occuper une place grandissante dans l'enseignement : manuels numériques, logiciels de géométrie dynamique, learning games, e-learning, blended learning, MOOC, classes inversées, robotique éducative, etc.L'ambition de nos travaux est de montrer que certaines de ces technologies peuvent contribuer à améliorer les apprentissages, en dynamisant les contenus, en accentuant la motivation des étudiants, en proposant des dispositifs adaptés à la formation à distance, en personnalisant les parcours pédagogiques.

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Klee, Christopher. "AI in Marketing – Curse or Blessing? : Impacts of Programmatic Advertising and Personalized Content on Society." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299572.

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With the help of Programmatic Advertising and the resulting personalized content, consumers can be targeted precisely and with the help of Artificial Intelligence. The associated use of customer data creates ethical conflicts. Therefore, the research question is asked: How does Programmatic Advertising influence consumer's data security and diversity of opinion and what effect does this have on the further development of the technology? For the purpose of elaborating the research problem a literature analysis and expert interviews are carried out. The analysis shows that Programmatic Advertisi

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CANNATÁ, VERÔNICA MARTINS. "ENSINO HÍBRIDO NA EDUCAÇÃO BÁSICA: NARRATIVAS DOCENTES SOBRE A ABORDAGEM METODOLÓGICA NA PERSPECTIVA DA PERSONALIZAÇÃO DO ENSINO." Universidade Metodista de Sao Paulo, 2017. http://tede.metodista.br/jspui/handle/tede/1697.

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Submitted by Noeme Timbo (noeme.timbo@metodista.br) on 2018-02-16T16:14:35Z No. of bitstreams: 1 VeronicaMartins.pdf: 2071452 bytes, checksum: a9626c88fffd626b51350ed65e24f8b7 (MD5)<br>Made available in DSpace on 2018-02-16T16:14:35Z (GMT). No. of bitstreams: 1 VeronicaMartins.pdf: 2071452 bytes, checksum: a9626c88fffd626b51350ed65e24f8b7 (MD5) Previous issue date: 2017-11-24<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The central theme of this research is the pedagogical practice as reference of a formal education program. The research has as general object

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Lefèvre, Marie. "Processus unifié pour la personnalisation des activités pédagogiques : méta-modèle, modèles et outils." Phd thesis, Université Claude Bernard - Lyon I, 2009. http://tel.archives-ouvertes.fr/tel-00625465.

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Cette thèse en informatique se situe dans le domaine des Environnements Informatiques pour l'Apprentissage Humain (EIAH). Dans ce cadre, nous avons abordé la question de la personnalisation de l'apprentissage. Nos travaux de recherche consistaient à identifier un processus qui permette à la fois de personnaliser des séances de travail sur papier et des séances de travail sur des logiciels pédagogiques. Nous souhaitions que ce processus permette de prendre en compte les spécificités de chaque apprenant en s'appuyant sur son profil, mais qu'il prenne également en compte les buts et les habitudes

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Brilhart, Daniel L. "Teacher conceptualization of teaching integrating the personal and the professional /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1186666429.

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(10725357), Siddharth Divi. "UNIFYING DISTILLATION WITH PERSONALIZATION IN FEDERATED LEARNING." Thesis, 2021.

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<div>Federated learning (FL) is a decentralized privacy-preserving learning technique in which clients learn a joint collaborative model through a central aggregator without sharing their data. In this setting, all clients learn a single common predictor (FedAvg), which does not generalize well on each client's local data due to the statistical data heterogeneity among clients. In this paper, we address this problem with PersFL, a discrete two-stage personalized learning algorithm. In the first stage, PersFL finds the optimal teacher model of each client during the FL training phase. In the se

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Kuka, Josefine Frederike. "Personalization of product rankings in e-commerce." Master's thesis, 2019. http://hdl.handle.net/10362/71768.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>Consumers face a large number of choices while shopping online. Studies have shown, that they are already expecting to be targeted with content addressing their personal needs. In a web shop, products are presented as lists based on a selected category or as results of a product search. To support the users in their decision making, they can be provided with a personalized product ranking fitted to their current interests. In this piece of work, three levels of per

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Yang, Min-Num, and 楊敏男. "QoL Guaranteed Adaptation and Personalization in E-Learning Systems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/26326154461540970710.

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碩士<br>輔仁大學<br>電子工程學系<br>92<br>Although e-learning cannot completely substitute for the traditional learning approach, it is superior in its independence, convenience, adaptation and personalization. A new metric — QoL (Quality of Learning) is recommended for e-learning systems to evaluate the learning process. This paper proposes an Adaptive & Personalized e-Learning System (APeLS) that provides dynamic learning content and an adaptive learning process for learners to enhance the quality of learning. According to feedback from the learner, the proposed APeLS is capable of self-adjusting and se

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TSAI, CHIA-YING, and 蔡佳穎. "Effect of Integrating a Personalization Mechanism into Flipped Learning Approach on Students’ Learning Achievement and Learning Engagement." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/x5xcmc.

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碩士<br>東吳大學<br>資訊管理學系<br>107<br>In recent years, an innovative teaching method, flipped classroom, has become one of the most important teaching ones. Students may build their prior knowledge through the pre-class instructional videos, and then conduct peer-to-peer and peer-to-teacher discussion in in-class activities. However, they could fail to complete the learning task assigned by teacher without appropriate guidance in pre-class phrase. This may easily decrease students’ participation in the class. Therefore, to address this issue, this study develops a personalization mechanism guidance s

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Hou, Chi-chen, and 侯淇禎. "The Effects of Cognitive Styles on Game-Based Learning: Customization vs. Personalization." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/15899734854240914249.

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碩士<br>國立中央大學<br>網路學習科技研究所<br>101<br>In the past decades, game-based learning has been applied to deliver learning materials in various fields. This is due to the fact that game-based learning provides many benefits. For example, game-based learning contains various game elements (i.e., story, music, hints and help documents), which promote students’ learning motivation. However, previous research also indicated that game-based learning may cause some problems, such as the increase of learners’ cognitive overload. Nevertheless, not all of learners can overcome these problems because learners h

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Ferrara, Antonio. "Pursuing Privacy and Personalization in Recommender Systems: The Role of Federated Learning." Doctoral thesis, 2022. http://hdl.handle.net/11589/232721.

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In the era of big data, the massive data availability has created a tough world to navigate for users, who are often overwhelmed by alternatives of products, services, music, movies. Big data is also the fuel of machine learning applications and powerful tools like recommender systems that help users choose among the myriad of alternatives. Regrettably, this big data often contains sensitive information (e.g., socio-demographic attributes, social relations, browsing history, patterns of visited location or played music) that reflects their personal behavior. Although the performance of machine

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Huang, Yu-Hung, and 黃羽弘. "Using Ontology to Construct a Personalization Search Engine for Learning Materials in SCORM." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/48517075580036850310.

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碩士<br>大葉大學<br>資訊管理學系碩士班<br>93<br>Because of e-learning concept popularization gradually, make electronic learning become the new trend of the studying type in the future. And the fast development in SCORM of cause has already become the standard of learning object in recent years, a lot of e-learning system in accordance with follow SCORM standard as new index of e-learning, learning object which accord with SCORM standard are more and more too, learning object which the teacher can choose in editor's teaching material are more and more diversified and complicated. But because like this, Follo

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Caputi, Valentina, Assunta Bonanno, Antonio Garrido, and Pietro Pantano. "Intelligent planning for curriculum personalization of e-Learning contents. Moodle as a case study." Thesis, 2013. http://hdl.handle.net/10955/914.

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Scuola "Archimede" in Scienze, Comunicazione e Tecnologie, Ciclo XXVI, a.a. 2007-2013<br>The use and enhancement of technology in the field of (distance) education has increased the adoption of e-learning. Nowadays, a simple connection to the Internet makes it possible to access any on-line content. Thus, e-learning platforms based on Learning Management Systems (LMSs) permits us to eliminate the barriers of time and space that usually limit traditional teaching. LMSs facilitate the administration, storage, delivery, visualization and monitoring of e-learning contents to both students an

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Ho, Ming-Leng, and 何明亮. "Ontology based user modeling and object plan for personalization of the e-learning services." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/51362387180934728844.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>95<br>This researches as future digit teaching material population changes into springboard, Settle digit teaching material category and quantity huge, Results in hard to effective study problem for aim, Brings up a accord with individual study extent requirement's adaptability melt teaching material recommend machine-made. So, This research and development a as substantialism is basic user study mode, Reaches personalize digit teaching material service, Permeate will teaching material substantialism melt, Make student at first search for knowledge domain sum fix boo

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Mayeku, Betty. "Enhancing Personalization and Learner Engagement in Context-aware Learning Environment - A Pedagogical and Technological Perspective." Doctoral thesis, 2015. http://hdl.handle.net/11858/00-1735-0000-0023-963F-8.

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Ongaro, Christopher. "Virtual Personalization: Technology-Mediated Interactions and the Opportunities for Engagement and Connection in a Blended Learning Program." Thesis, 2021. https://doi.org/10.7916/d8-jgyc-2r09.

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This case study explored the ways that aspects of a high school blended learning program (pseudonym: BL High) encourage or discourage personalization. For K-12 learners a major concern exists in the increasingly rigid dominion of the programmatic over the personal, which leaves many students disengaged and disconnected. Having expanded the ways in which students can interact with curriculum and teachers, 21st-century technology introduces new conditions that may, or may not, encourage personalization instead of standardized, efficiency-based policies and practices.In response to digital tech

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Ρήγκου, Ευαγγελία. "Ηλεκτρονικές κοινότητες μάθησης". 2007. http://nemertes.lis.upatras.gr/jspui/handle/10889/473.

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