Relevant bibliographies by topics / Educative data mining / Dissertations / Theses
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Dissertations / Theses on the topic 'Educative data mining'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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1

Войцун, О. Є. "Перспективи educational data mining в Україні". Thesis, Cумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47901.

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Актуальність дослідження полягає в тому, що сучасний стан освіти вимагає використання сучасних методів для імплементації вказаних вище потреб, і educational data mining (EDM) надає унікальні можливості для дослідників і практиків. Метою роботи було виявлення перективних напрямків ЕDM для України.
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2

Manspeaker, Rachel Bechtel. "Using data mining to differentiate instruction in college algebra." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/8542.

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Doctor of Philosophy<br>Department of Mathematics<br>Andrew G. Bennett<br>The main objective of the study is to identify the general characteristics of groups within a typical Studio College Algebra class and then adapt aspects of the course to best suit their needs. In a College Algebra class of 1,200 students, like those at most state funded universities, the greatest obstacle to providing personalized, effective education is the anonymity of the students. Data mining provides a method for describing students by making sense of the large amounts of information they generate. Instructors
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3

Alsuwaiket, Mohammed. "Measuring academic performance of students in Higher Education using data mining techniques." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/34680.

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Educational Data Mining (EDM) is a developing discipline, concerned with expanding the classical Data Mining (DM) methods and developing new methods for discovering the data that originate from educational systems. It aims to use those methods to achieve a logical understanding of students, and the educational environment they should have for better learning. These data are characterized by their large size and randomness and this can make it difficult for educators to extract knowledge from these data. Additionally, knowledge extracted from data by means of counting the occurrence of certain
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4

Burley, Keith Martin. "Data mining techniques in higher education research : the example of student retention." Thesis, Sheffield Hallam University, 2006. http://shura.shu.ac.uk/19412/.

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Data Mining has been used for more than a decade in a variety of differing environments. It takes an inductive approach to data analysis in that it is concerned with the extraction of patterns from the data often without preconceived ideas. Data mining is part of the field of Business Intelligence, a subject area that the author is familiar with and has taught for many years. He believes that the application of data mining techniques has much to offer within the context of higher education. However, there is little evidence that these well established techniques have previously been applied to
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Кузіков, Борис Олегович, Борис Олегович Кузиков та Borys Olehovych Kuzikov. "Сучасний стан та напрями розвитку Education Data Mining в Сумському державному університеті". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/37991.

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Однією з переваг автоматизації бізнес процесів є можливість їх глибокого аналізу з метою пошуку прихованих зв’язків між параметрами моделі і ефективністю процесів. Дослідження у цьому напрямку не пройшли осторонь систем дистанційного навчання, особливо з появою Massive Open Online Courses (MOOC). На ряду із терміном Data Mining – видобуток знань з масивів інформації, розглядають поняття «Education Data Mining» (EDM).
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6

Pepe, Julie. "STUDENT PERCEPTION OF GENERAL EDUCATION PROGRAM COURSES." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3545.

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The purposes of this study were to: (a) determine, for General Education Program (GEP) courses, what individual items on the student form are predictive of the overall instructor rating value; (b) investigate the relationship of instructional mode, class size, GEP foundational area, and GEP theme with the overall instructor rating value; (c) examine what teacher/course qualities are related to a high (Excellent) overall evaluation or a low (Poor) overall evaluation value. The data set used for analysis contained sixteen student response scores (Q1-Q16), response number, class size, term, found
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7

Allègre, Olivier. "Adapting the Prerequisite Structure to the Learner in Student Modeling." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS116.

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Les modèles d'apprenant basés sur les données visent à représenter et comprendre les connaissances des élèves ainsi que leurs autres caractéristiques métacognitives pour soutenir leur apprentissage en faisant des prédictions sur leurs performances futures. La modélisation de l'apprenant peut être abordée en utilisant différentes modèles de système complexes, chacun offrant une perspective différente sur l'étudiant et le processus d'apprentissage. Les techniques d'apprentissage automatique améliorées par la représentation de la connaissance, telles que les réseaux bayésiens, sont particulièreme
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Franco, Gaviria María Auxiliadora. "Principled design of evolutionary learning sytems for large scale data mining." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/14299/.

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Currently, the data mining and machine learning fields are facing new challenges because of the amount of information that is collected and needs processing. Many sophisticated learning approaches cannot simply cope with large and complex domains, because of the unmanageable execution times or the loss of prediction and generality capacities that occurs when the domains become more complex. Therefore, to cope with the volumes of information of the current realworld problems there is a need to push forward the boundaries of sophisticated data mining techniques. This thesis is focused on improvi
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9

Xu, Yonghong. "Using data mining in educational research: A comparison of Bayesian network with multiple regression in prediction." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280504.

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Advances in technology have altered data collection and popularized large databases in areas including education. To turn the collected data into knowledge, effective analysis tools are required. Traditional statistical approaches have shown some limitations when analyzing large-scale data, especially sets with a large number of variables. This dissertation introduces to educational researchers a new data analysis approach called data mining, an analytic process at the intersection of statistics, databases, machine learning/artificial intelligence (AI), and computer science, that is designed t
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10

Петренко, А. М. "Застосування методів EDM для розробки системи підтримки рішень". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/82374.

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Дана робота присвячена проектуванню моделі, яка б допомогла адміністратору електронної системи прийняти рішення щодо продуктивності сервера та прогнозувала б максимальну кількість унікальних користувачів та запитів при якій сервер буде неспроможний обробляти запити клієнтів. У ході роботи проведено аналіз вхідних даних, літератури, обрані методи, алгоритм виконання поставленої задачі, реалізовані наглядні графіки, що показують масштабованість електронного ресурсу, розроблено модель для допомоги адміністратору ресурса прийняти рішення щодо його продуктивності. Об’єкт дослідження — Дистанційни
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Maisey, Gemma. "Mining for sleep data: An investigation into the sleep of fly-In fly-out shift workers in the mining industry and potential solutions." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2023. https://ro.ecu.edu.au/theses/2618.

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Shift work in the mining industry is a risk factor for sleep loss leading to impaired alertness, which may adversely impact health and safety risks. This risk is being increasingly recognised by leaders and shift workers in the mining industry, however, there is limited knowledge available on the extent of sleep loss and other potential contributing factors. Furthermore, knowledge of the efficacy of individual interventions to assist shift workers to improve their sleep, and the management of risk at an organisational level is scarce. This PhD thesis involved three studies. The first two studi
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McKeague-McFadden, Ikaika A. "Identifying Students at Risk of Not Passing Introductory Physics Using Data Mining and Machine Learning." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1596214863294544.

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Wang, Shuai. "Data mining techniques and mathematical models for the optimal scholarship allocation problem for a state university." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1515618183686262.

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14

Brown, Marvin Lane. "The Impact of Data Imputation Methodologies on Knowledge Discovery." Cleveland State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=csu1227054769.

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15

Giese, Marco [Verfasser], and Andreas [Akademischer Betreuer] Behr. "An analysis of dropout students in the German higher education system using modern data mining techniques / Marco Giese ; Betreuer: Andreas Behr." Duisburg, 2021. http://d-nb.info/1234911213/34.

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16

Bahrami, Fahimeh. "Identifying College Students’ Course-Taking Patterns In Stem Fields." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1048.

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In spite of substantial investments in science, technology, engineering, and mathematics (STEM) education, low enrollment and high attrition rate among students in these fields remain an unmitigated challenge for higher education institutions. In particular, underrepresentation of women and minority students with STEM-related college degrees replicates itself in the makeup of the workforce, adding another layer to the challenge. While most studies examine the relationship between student characteristics and their outcomes, in this study, I take a new approach to understand academic pathways as
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Hartl, Karin [Verfasser], and G. [Akademischer Betreuer] Nakhaeizadeh. "The Application Potential of Data Mining in Higher Education Management: A Case Study Based on German Universities / Karin Hartl ; Betreuer: G. Nakhaeizadeh." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1191267350/34.

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18

Xu, Beijie. "Understanding Teacher Users of a Digital Library Service: A Clustering Approach." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/890.

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This research examined teachers' online behaviors while using a digital library service--the Instructional Architect (IA)--through three consecutive studies. In the first two studies, a statistical model called latent class analysis (LCA) was applied to cluster different groups of IA teachers according to their diverse online behaviors. The third study further examined relationships between teachers' demographic characteristics and their usage patterns. Several user clusters emerged from the LCA results of Study I. These clusters were named isolated islanders, lukewarm teachers, goal-oriented
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Wixon, Naomi. "An Inductive Method of Measuring Students’ Cognitive and Affective Processes via Self-Reports in Digital Learning Environments." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-dissertations/504.

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Student affect can play a profoundly important role in students' post-school lives. Understanding students' affective states within online learning environments in particular has become an important matter of research, as digital tutoring systems have the potential to intervene at the moment that students are struggling and becoming frustrated, bored or disengaged. However, despite the importance of assessing students' affective states, there is no clear consensus about what emotions are most important to assess, nor how these emotions can be best measured. This dissertation investigates stude
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Carbone, Rego Felipe. "Exploring and Identifying Student Engagement and Performance Profiles in A Learning Environment." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23250.

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Many studies illustrate the potential of utilizing data and advanced analytics techniques in specific and particular educational and learning settings. Much less focus is devoted to applying broader and more general approaches to exploratory data analysis in the field of Learning Analytics (LA). This thesis presents an additional contribution in this space. It demonstrates a general approach to exploring and predicting students’ profiles in an online learning setting. Its intention is to contribute to the growing literature of exploratory research in the field of LA by applying robust approa
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Nicholson, Scott. "Creating a Criterion-Based Information Agent Through Data Mining for Automated Identification of Scholarly Research on the World Wide Web." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2459/.

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This dissertation creates an information agent that correctly identifies Web pages containing scholarly research approximately 96% of the time. It does this by analyzing the Web page with a set of criteria, and then uses a classification tree to arrive at a decision. The criteria were gathered from the literature on selecting print and electronic materials for academic libraries. A Delphi study was done with an international panel of librarians to expand and refine the criteria until a list of 41 operationalizable criteria was agreed upon. A Perl program was then designed to analyze a Web p
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Santos, Rodrigo Magalh?es Mota dos. "T?cnicas de aprendizagem de m?quina utilizadas na previs?o de desempenho acad?mico." UFVJM, 2016. http://acervo.ufvjm.edu.br/jspui/handle/1/1327.

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Data de aprova??o ausente.<br>Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2017-05-11T18:00:35Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) rodrigo_magalhaes_mota_santos.pdf: 605428 bytes, checksum: a0c6c2c74fb7252604442e7b79b71d5d (MD5)<br>Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2017-05-16T17:13:39Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) rodrigo_magalhaes_mota_santos.pdf: 605428 bytes, checksum: a0c6c2c74fb7252604442
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Cousino, Andrew. "Using Bayesian learning to classify college algebra students by understanding in real-time." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15630.

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Doctor of Philosophy<br>Department of Mathematics<br>Andrew G. Bennett<br>The goal of this work is to provide instructors with detailed information about their classes at each assignment during the term. The information is both on an individual level and at the aggregate level. We used the large number of grades, which are available online these days, along with data-mining techniques to build our models. This enabled us to profile each student so that we might individualize our approach. From these profiles, we began to investigate what can be done in order to get students to do better, or at
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Lachi, Ricardo Luís 1977. "Avaliação da qualidade de cursos superiores a distância." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275685.

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Orientador: Heloísa Vieira da Rocha<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-21T18:04:31Z (GMT). No. of bitstreams: 1 Lachi_RicardoLuis_D.pdf: 4478707 bytes, checksum: fe1b464d73bb0d024ceb47d853970c03 (MD5) Previous issue date: 2012<br>Resumo: O objetivo deste trabalho foi o de demonstrar que os dados armazenados nos Ambientes Virtuais de Aprendizagem (AVAs) podem ser usados como importantes fontes de informação para avaliar a qualidade dos cursos. Para isso foi construído um modelo de avaliação baseado na coleta
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Bhaskaran, Subhashini Sailesh. "An Investigation into the Knowledge Discovery and Data Mining (KDDM) process to generate course taking pattern characterised by contextual factors of students in Higher Education Institution (HEI)." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15880.

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The Knowledge Discovery and Data Mining (KDDM), a growing field of study argued to be very useful in discovering knowledge hidden in large datasets are slowly finding application in Higher Educational Institutions (HEIs). While literature shows that KDDM processes enable discovery of knowledge useful to improve performance of organisations, limitations surrounding them contradict this argument. While extending the usefulness of KDDM processes to support HEIs, challenges were encountered like the discovery of course taking patterns in educational datasets associated with contextual information.
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Папченко, О. І., та А. В. Силюк. "Інтелектуальний аналіз данних використання електронних навчальних матеріалів". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38750.

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Однією з передумов забезпечення високої якості освіти є здійснення своєчасного та точного її моніторингу. Особливі можливості у цьому напряму з’являються із поглибленням використання електронних засобів навчання. Цінними як поточна статистики, так і аналітика на основі зібраних даних. Нова міждисциплінарна область досліджень, яка займається розробкою методів видобутку даних в освітньому контексті дістала назви Education Data Mining (EDM).
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Whitlock, Joshua Lee. "Using Data Science and Predictive Analytics to Understand 4-Year University Student Churn." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3356.

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The purpose of this study was to discover factors about first-time freshmen that began at one of the six 4-year universities in the former Tennessee Board of Regents (TBR) system, transferred to any other institution after their first year, and graduated with a degree or certificate. These factors would be used with predictive models to identify these students prior to their initial departure. Thirty-four variables about students and the institutions that they attended and graduated from were used to perform principal component analysis to examine the factors involved in their decisions. A sub
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Falci, Júnior Geraldo Ramos. "Metodologia de mineração de dados para ambientes educacionais online." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259203.

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Orientador: Ivan Luiz Marques Ricarte<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-17T16:59:53Z (GMT). No. of bitstreams: 1 FalciJunior_GeraldoRamos_M.pdf: 698385 bytes, checksum: 02542ffd87be662788d4f79b80ba9a7a (MD5) Previous issue date: 2010<br>Resumo: Educação a distância populariza-se como meio prático de ensino com a expansão de recursos computacionais e da Internet. Apesar disto, ela traz dificuldades ao educador para compreender as necessidades de suas classes. A análise do uso d
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Durr, Angel Krystina. "A Text Analysis of Data Science Career Opportunities and U.S. iSchool Curriculum." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404565/.

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Data science employment opportunities of varied complexity and environment are in growing demand across the globe. Data science as a discipline potentially offers a wealth of jobs to prospective employees, while traditional information science-based roles continue to decrease as budgets get cut across the U.S. Since data is related closely to information historically, this research will explore the education of U.S. iSchool professionals and compare it to traditional data science roles being advertised within the job market. Through a combination of latent semantic analysis of over 1600 job po
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Kadikinas, Vaidas. "Nuotolinių mokymo sistemų vartotojų aktyvumo analizės ir valdymo metodai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110902_092107-25937.

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Nuotolinio mokymo technologijos įgauna pagreitį visame pasaulyje. Technologijos trūkumai ir silpnosios vietos tampa matomesnės, nei bet kada anksčiau. Siekiant patobulinti mokymo procesą ir sumažinti kurso nebaigiančių studentų dalį, vis svarbesnėmis tampa studentų aktyvumo skatinimo ir mokymosi paramos sistemos. Šio darbo tikslai – apžvelgti esamus studentų aktyvumo analizės ir valdymo metodus naudojamus nuotoliniame mokyme. Taip pat, pagerinti esamus arba pasiūlyti gaires naujų kūrimui. Literatūros analizė parodė duomenų gavybos metodų potencialą mokymo valdymo sistemose. Pasiūlytas studentų
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Fernandes, Warley Leite. "Aplica??o do algoritmo de classifica??o associativa (CBA) em bases educacionais para predi??o de desempenho." UFVJM, 2017. http://acervo.ufvjm.edu.br/jspui/handle/1/1726.

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Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2018-05-23T19:00:06Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) warley_leite_fernandes.pdf: 2460576 bytes, checksum: d929e82a2e47dac8f54b1a1d52ed28fb (MD5)<br>Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2018-06-05T14:49:36Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) warley_leite_fernandes.pdf: 2460576 bytes, checksum: d929e82a2e47dac8f54b1a1d52ed28fb (MD5)<br>Made available in DSp
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CESARETTI, LORENZO. "How students solve problems during Educational Robotics activities: identification and real-time measurement of problem-solving patterns." Doctoral thesis, Università Politecnica delle Marche, 2020. http://hdl.handle.net/11566/274358.

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Questa tesi presenta l’utilizzo di tecniche di data mining e machine learning per la valutazione di attività di Robotica Educativa. Gli obiettivi di questo lavoro di ricerca sono tre: identificare differenti pattern durante le attività di problem-solving degli studenti; predire il risultato finale ottenuto nella risoluzione delle sfide di programmazione (e annotato dagli educatori) utilizzando tecniche machine learning; analizzare le correlazioni tra i pattern ottenuti e la valutazione assegnata dagli educatori. Per raggiungere questi obiettivi è stata svolta una sperimentazione con 455 stud
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Gottardo, Ernani. "Estimativa de desempenho acadêmico de estudantes em um AVA utilizando técnicas de mineração de dados." Universidade Tecnológica Federal do Paraná, 2012. http://repositorio.utfpr.edu.br/jspui/handle/1/439.

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Alguns ambientes educacionais têm incorporado softwares que são utilizados como apoio ou, em alguns casos, como condição básica para a disponibilização de cursos. Neste cenário, destacam-se os Ambientes Virtuais de Aprendizagem (AVA) usados para apoiar o desenvolvimento de cursos presenciais, semipresenciais e a distância. Os AVA caracterizam-se por armazenar um grande volume de dados. Contudo, esses ambientes carecem de ferramentas que permitam extrair informações úteis para o desenvolvimento de processos de acompanhamento eficiente dos estudantes. Diante disso, esta pesquisa investiga como o
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Portal, Cleber. "Estratégias para minimizar a evasão e potencializar a permanência em EAD a partir de sistema que utiliza mineração de dados educacionais e learning analytics." Universidade do Vale do Rio dos Sinos, 2016. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5409.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-06-29T13:59:29Z No. of bitstreams: 1 Cleber Portal_.pdf: 1881529 bytes, checksum: aa34b82855518c0d808e9a3ab2e103e0 (MD5)<br>Made available in DSpace on 2016-06-29T13:59:29Z (GMT). No. of bitstreams: 1 Cleber Portal_.pdf: 1881529 bytes, checksum: aa34b82855518c0d808e9a3ab2e103e0 (MD5) Previous issue date: 2016-02-29<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>A presente dissertação de mestrado, desenvolvida no contexto do Grupo de Pesquisa Educação Digital GPe-dU UNISINOS/CNPq, vinculad
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Raya, Katia. "Réseaux sociaux et communautés en ligne dans le paysage universitaire libanais (2018-20)." Thesis, Sorbonne université, 2020. http://www.theses.fr/2020SORUL107.

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Pour faire face aux défis et la forte concurrence d’aujourd’hui, l’enseignement supérieur s’est tourné vers la stratégie de communication sur les réseaux sociaux en vue de fidéliser leur public, améliorer leur réputation et renforcer les relations avec la communauté à travers des niveaux d’engagement plus élevés. L’enjeu de cette thèse est d’appréhender cet engagement de la communauté universitaire sur les réseaux sociaux. La recherche s’intéressera dans un premier temps à l’étude des concepts clés reliés à son objectif, à savoir, l’engagement, la communauté et les médias sociaux. Des études e
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Beese, Elizabeth Brott. "A vision of the curriculum as student self-creation: A philosophy and a system to manage, record, and guide the process." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345336992.

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Sao, Pedro Michael A. "Real-time Assessment, Prediction, and Scaffolding of Middle School Students’ Data Collection Skills within Physical Science Simulations." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-dissertations/168.

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Despite widespread recognition by science educators, researchers and K-12 frameworks that scientific inquiry should be an essential part of science education, typical classrooms and assessments still emphasize rote vocabulary, facts, and formulas. One of several reasons for this is that the rigorous assessment of complex inquiry skills is still in its infancy. Though progress has been made, there are still many challenges that hinder inquiry from being assessed in a meaningful, scalable, reliable and timely manner. To address some of these challenges and to realize the possibility of formative
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SANTOS, Danilo Abreu. "Recomendação pedagógica para melhoria da aprendizagem em redações." Universidade Federal de Campina Grande, 2015. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/550.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-05-02T13:28:09Z No. of bitstreams: 1 DANILO ABREU SANTOS - DISSERTAÇÃO PPGCC 2015..pdf: 2955839 bytes, checksum: 45290d85cdffbae0320f29fc5e633cb6 (MD5)<br>Made available in DSpace on 2018-05-02T13:28:09Z (GMT). No. of bitstreams: 1 DANILO ABREU SANTOS - DISSERTAÇÃO PPGCC 2015..pdf: 2955839 bytes, checksum: 45290d85cdffbae0320f29fc5e633cb6 (MD5) Previous issue date: 2015-08-24<br>A modalidade de educação online tem crescido significativamente nas últimas décadas em todo o mundo, transformando-se em uma opção viável tanto
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Peoples, Bruce E. "Méthodologie d'analyse du centre de gravité de normes internationales publiées : une démarche innovante de recommandation." Thesis, Paris 8, 2016. http://www.theses.fr/2016PA080023.

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.../<br>“Standards make a positive contribution to the world we live in. They facilitate trade, spreadknowledge, disseminate innovative advances in technology, and share good management andconformity assessment practices”7. There are a multitude of standard and standard consortiaorganizations producing market relevant standards, specifications, and technical reports in thedomain of Information Communication Technology (ICT). With the number of ICT relatedstandards and specifications numbering in the thousands, it is not readily apparent to users howthese standards inter-relate to form the basi
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Meza, Fernandez Sandra. "Enseigner et apprendre en ligne : vers un modèle de la navigation sur des sites Web de formation universitaire." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-00974481.

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Cette thèse propose de cartographier le parcours de navigation des usagers des EIAH pour le visualiser, visualiser pour interpréter et interpréter pour anticiper. Les profils d'apprentissage ont une influence sur les modes de navigation dans un environnement d'apprentissage en ligne. S'appuyant sur une méthodologie capable de modéliser le parcours de navigation d'un usager et d'anticiper son prochain clic sur une plateforme, notre étude cherche à élargir le champ des connaissances de l'efficacité/performance des styles d'apprentissage. La méthodologie utilisée repose sur l'analyse des traces d
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Peoples, Bruce E. "Méthodologie d'analyse du centre de gravité de normes internationales publiées : une démarche innovante de recommandation." Electronic Thesis or Diss., Paris 8, 2016. http://www.theses.fr/2016PA080023.

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.../<br>“Standards make a positive contribution to the world we live in. They facilitate trade, spreadknowledge, disseminate innovative advances in technology, and share good management andconformity assessment practices”7. There are a multitude of standard and standard consortiaorganizations producing market relevant standards, specifications, and technical reports in thedomain of Information Communication Technology (ICT). With the number of ICT relatedstandards and specifications numbering in the thousands, it is not readily apparent to users howthese standards inter-relate to form the basi
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Huang, Zhi-Jie, and 黃芷婕. "Data Mining for the Teaching Development in Shadow Education." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/vh4ref.

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碩士<br>淡江大學<br>管理科學學系企業經營碩士在職專班<br>105<br>The last two decades have seen growing importance placed on research in shadow education. The field of the shadow education in Taiwan has undergone many fluctuation and shifts over the years. The high cost of living and the necessity for both parents to work has given rise to notion that children are an unwelcome border. Shadow education in Taiwan is having trouble to get students and that is not the only problem of the situation. Shadow education is getting more and more in current market. However, research which has empirically documented the link bet
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Lin, Yi-chun, and 林怡均. "Development of Higher Education Enrollment Decision Support System Using Data Mining Technology." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/zbqv66.

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碩士<br>國立中央大學<br>資訊管理學系<br>103<br>In higher education, the selection of future students are critical to the success of education. Every universities establish their own admission criteria. Using the relevant admission criteria and equally examine applicants’ qualification, hoping to enroll the applicant which has excellent performance. Therefore, this research aims to establish a model for determine the suitable admission criteria for the features of the department. In order to understand the influence between the potential capability of student and specific subject, and further comprehend whet
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Lu, Wen-Jen, and 陸文楨. "Design and Implementation of Media Synchronization and Data Mining Mechanisms for Networked Education." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/10712055154628931242.

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碩士<br>國立臺灣大學<br>電機工程學系研究所<br>86<br>Recently networked education has emerged as an important Internet application. It not only breaks the limitation of learning space but also keeps the flexib ility of teaching time. Also, by multimedia mechanisms and technologies of int eractivity, students can enjoy a multimedia learning environment according to their need. However, the current network education system just provides basic functionality and it may n1ot meet our need for full interactivity. In this th esi
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Krause, Gladys Helena. "An exploratory study of teacher retention using data mining." Thesis, 2014. http://hdl.handle.net/2152/24742.

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The object of this investigation is to report a study of mathematics teacher retention in the Texas Education System by generating a model that allows the identification of crucial factors that are associated with teacher retention in their profession. This study answers the research question: given a new mathematics teacher with little or no service in the Texas Education System, how long might one expect her to remain in the system? The basic categories, used in this study to describe teacher retention are: long term (10 and more years of service), medium term (5 to 9 years of service), and
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Lenchner, Erez. "Mining Transactional Student-Level Data to Predict Community College Student Outcomes." Thesis, 2017. https://doi.org/10.7916/D8GH9PM9.

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A longitudinal analysis of transactional data for an entire college cohort was mined from administrative student records systems to identify individual student behaviors and establish correlations between individual students’ behaviors and academic outcomes. Conducted at one large urban community college, this study determined curricular peer association behavior between individual students, and also evaluated late registration and course schedule change behaviors. Findings demonstrated a strong correlation between these three behavioral patterns and a lasting influence on academic outcomes, s
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Yeh, Chien, and 葉倩. "A Study on Applying Data Mining Techniques to Discover Potential Customers for a Computer Education Center." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/71587188641067158204.

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碩士<br>世新大學<br>資訊傳播學研究所(含碩專班)<br>99<br>This thesis through the data mining techniques explores target customers&apos; base and analyzes characteristics of the customers&apos; consumption for computer education center. This thesis expects to provide students&apos; need of curriculum in computer education centers, and the curriculum of various categories in the attribute of students. Thus, we hope to reduce marketing cost, raise the chance of successful marketing, and benefit computer education centers. First, this thesis is as a result of the curriculum category of computer education center thro
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ZHU, SHI-LI, and 朱世立. "Employee education and training from the perspective of data mining: taking a natural gas company for example." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/z6k5np.

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碩士<br>正修科技大學<br>經營管理研究所<br>101<br>The natural gas industry has distinguishing characteristics in terms of its political, public, and social irreplacebility. Owing to its influence on a nation’s energy policy, the rights of users, and the people’s livelihoods, it is dubbed as a form of private utilities, also distinguished by the monopoly and the absence of competitors. With the rise of consumer awareness, customers now have increasingly high expectations of the natural gas industry. To cater to a market-oriented trend, it is imperative that natural gas companies (AKA gas companies) be more ded
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林文義. "The Application of Data Mining Techniques for Analyzing Course Design and Learning Effectiveness in Advanced Vocational Education." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/88028293002364367398.

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碩士<br>樹德科技大學<br>資訊管理研究所<br>92<br>With the increasing demands on health and medical care from the public, to improve the quality of health care education is an important issue. In Taiwan, the system of advanced vocational education provides the major part of human resources on the market of nurse-practitioners. It is more than important to make sure that the education and training in these schools are of high quality. In this thesis, we study an advanced vocational college of health care. We try to explore the relations among courses and students’ background using the techniques and tools of da
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TU, HUI-WEN, and 杜惠文. "Using Data Mining Techniques in community extention education course planning—— An Example of the LS Community College in Changhua." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/r3axcz.

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碩士<br>建國科技大學<br>服務與科技管理研究所<br>104<br>In a rapid growing of the knowledge blooming era, people pay more attention to the lifetime learning in current society. Many colleges and universitys have established affiliated extension education centers, public and private careering training centers, community colleges and active aging colleges. According to government policies, these policies promote many public and private community colleges to open courses of local communities in various counties. Community college becomes a place that provides an opportunity for people in keeping learning and enrich
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