標(biāo)題: Titlebook: Learning Analytics Methods and Tutorials; A Practical Guide Us Mohammed Saqr,Sonsoles López-Pernas Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if appl [打印本頁] 作者: 小缺點(diǎn) 時(shí)間: 2025-3-21 16:04
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書目名稱Learning Analytics Methods and Tutorials讀者反饋學(xué)科排名
作者: Pde5-Inhibitors 時(shí)間: 2025-3-21 21:04 作者: CLAM 時(shí)間: 2025-3-22 02:41 作者: 商店街 時(shí)間: 2025-3-22 05:03
An R Approach to Data Cleaning and Wrangling for Education Researchg analytics. This chapter provides an introduction to data wrangling using R and covers topics such as data importing, cleaning, manipulation, and reshaping with a focus on tidy data. Specifically, readers will learn how to read data from different file formats (e.g. CSV, Excel), how to manipulate d作者: BLUSH 時(shí)間: 2025-3-22 10:51
Introductory Statistics with R for Educational Researchersg environments. This chapter provides an introduction to basic statistical concepts using R and covers topics such as measures of central tendency, variability, correlation, and regression analysis. Specifically, readers will learn how to compute descriptive statistics, conduct hypothesis tests, and作者: SEVER 時(shí)間: 2025-3-22 16:13 作者: neutral-posture 時(shí)間: 2025-3-22 20:21 作者: HUSH 時(shí)間: 2025-3-23 01:02
Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using Rartitioning heterogeneous data into homogeneous groups, whereby cases within a group are more similar to each other than cases assigned to other groups, without foreknowledge of the group labels. Clustering is also an important component of several exploratory methods, analytical techniques, and mod作者: BRACE 時(shí)間: 2025-3-23 02:02
An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysisr subgroups within students’ behavior or functioning. Assuming that there is “an average” pattern that represents the entirety of student populations requires the measured construct to have the same causal mechanism, same development pattern, and affect students in exactly the same way. Using a pers作者: Herpetologist 時(shí)間: 2025-3-23 07:01
Sequence Analysis in Education: Principles, Technique, and Tutorial with Rct meaningful insights from sequential data, i.e., to summarize the sequential patterns of learning data and classify those patterns into homogeneous groups. In this chapter, readers will become familiar with sequence analysis techniques and tools through real-life step-by-step examples of sequentia作者: disrupt 時(shí)間: 2025-3-23 12:41 作者: 螢火蟲 時(shí)間: 2025-3-23 14:01 作者: ADAGE 時(shí)間: 2025-3-23 19:51
Multi-Channel Sequence Analysis in Educational Research: An Introduction and Tutorial with Rively new in social sciences, its relevance to educational research is growing as researchers gain access to diverse multimodal temporal data. Throughout this chapter, we describe multi-channel sequence analysis in detail, with an emphasis on how to detect patterns within the sequences, i.e., cluste作者: Infant 時(shí)間: 2025-3-24 00:30
The Why, the How and the When of Educational Process Mining in Re method, with a focus on event log construction and visual representation using directly-follows graphs. A review of the existing literature on educational process mining is also presented to introduce the reader to the state of the art of the field. The chapter follows with a guided tutorial in R 作者: endure 時(shí)間: 2025-3-24 05:51
Social Network Analysis: A Primer, a Guide and a Tutorial in Rogramming language. The chapter first introduces the basic concepts and types of networks. Then the chapter goes through a detailed step by step analysis of networks, computation of graph level measures as well as centralities with a concise interpretation in a collaborative environment. The chapter作者: 自愛 時(shí)間: 2025-3-24 08:53
Sonsoles López-Pernas,Mohammed Saqrdiagnosi fino al trattamento, con attenzione particolare alle problematiche di interesse specialistico (radiologico, urologico, medico nucleare, radioterapeutico e oncologico). ..Considerando l’elevatissima incidenza delle patologie prostatiche nella popolazione maschile e l‘interesse non solo speci作者: 飲料 時(shí)間: 2025-3-24 10:44
Jouni Helske,Satu Helske,Mohammed Saqr,Sonsoles López-Pernas,Keefe Murphydiagnosi fino al trattamento, con attenzione particolare alle problematiche di interesse specialistico (radiologico, urologico, medico nucleare, radioterapeutico e oncologico). ..Considerando l’elevatissima incidenza delle patologie prostatiche nella popolazione maschile e l‘interesse non solo speci作者: Evacuate 時(shí)間: 2025-3-24 17:22 作者: Myofibrils 時(shí)間: 2025-3-24 22:28 作者: 發(fā)生 時(shí)間: 2025-3-25 00:02
tellite imagery was, and indeed by many still is, regarded as a very high altitude air photograph, but with the introduction of digital techniques the full analysis of imagery has become very sophisticated. Radar imagery presents the resource scientist with a new imaging technique that has to be und作者: 一致性 時(shí)間: 2025-3-25 05:14
Mohammed Saqr,Sonsoles López-Pernas,Miguel ángel Conde-González,ángel Hernández-Garcíabate about whether he really merited this critical acclaim, and in Iran, the debate was framed in terms of whether Kiarostami really was authentically Iranian (as opposed to “French” or “Western”). The discussion reached new intensity after . won the Palm D’Or at the Cannes film festival in 1997, an作者: 橡子 時(shí)間: 2025-3-25 11:03
Sonsoles López-Pernas,Mohammed Saqr.). ..I diversi capitoli e paragrafi, supportati da un’ampia iconografia, descrivono dettagliatamente le principali indicazioni all‘esecuzione dell‘esame RM sia nella fase diagnostica pre-trattamento che nel follow-up in termini di risposta alla terapia. ..Nel testo le diverse patologie sono trattat作者: remission 時(shí)間: 2025-3-25 12:49
Jouni Helske,Satu Helske,Mohammed Saqr,Sonsoles López-Pernas,Keefe Murphy.). ..I diversi capitoli e paragrafi, supportati da un’ampia iconografia, descrivono dettagliatamente le principali indicazioni all‘esecuzione dell‘esame RM sia nella fase diagnostica pre-trattamento che nel follow-up in termini di risposta alla terapia. ..Nel testo le diverse patologie sono trattat作者: 媒介 時(shí)間: 2025-3-25 18:11 作者: 態(tài)學(xué) 時(shí)間: 2025-3-25 21:59 作者: 壯觀的游行 時(shí)間: 2025-3-26 00:12
he air photograph base to satellite imagery. Such scientists may find themselves confronted with microwave or radar imagery or wish to use the imagery for surveys and find themselves hindered by a lack of understanding of the differences between radar imagery and optical imagery. Unfortunately reference to mu978-94-010-8314-0978-94-009-4089-5作者: Gene408 時(shí)間: 2025-3-26 06:37 作者: Deject 時(shí)間: 2025-3-26 10:36
methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essentia978-3-031-54466-8978-3-031-54464-4作者: convert 時(shí)間: 2025-3-26 15:30
Sonsoles López-Pernas,Kamila Misiejuk,Rogers Kaliisa,Miguel ángel Conde-González,Mohammed Saqr作者: BOAST 時(shí)間: 2025-3-26 17:37 作者: rectocele 時(shí)間: 2025-3-26 22:02
Santtu Tikka,Juho Kopra,Merja Hein?niemi,Sonsoles López-Pernas,Mohammed Saqr作者: NUL 時(shí)間: 2025-3-27 03:48 作者: 蝕刻 時(shí)間: 2025-3-27 07:59
Santtu Tikka,Juho Kopra,Merja Hein?niemi,Sonsoles López-Pernas,Mohammed Saqr作者: 珍奇 時(shí)間: 2025-3-27 12:24
Sonsoles López-Pernas,Kamila Misiejuk,Santtu Tikka,Juho Kopra,Merja Hein?niemi,Mohammed Saqr作者: 確定的事 時(shí)間: 2025-3-27 13:48 作者: Keratectomy 時(shí)間: 2025-3-27 18:48 作者: BOLUS 時(shí)間: 2025-3-28 00:16
Mohammed Saqr,Sonsoles López-Pernas,Satu Helske,Marion Durand,Keefe Murphy,Matthias Studer,Gilbert R作者: burnish 時(shí)間: 2025-3-28 05:39
Capturing the Wealth and Diversity of Learning Processes with Learning Analytics Methods,arning analytics field. Thanks to the unique wealth of authors’ backgrounds and expertise, which include authors of R packages and experts in methods and applications, the book offers a comprehensive array of methods that are described thoroughly with a primer on their usage in prior research in edu作者: habitat 時(shí)間: 2025-3-28 07:08
Dissimilarity-Based Cluster Analysis of Educational Data: A Comparative Tutorial Using Red heuristic dissimilarity-based clustering algorithms; namely, .-means, .-medoids, and agglomerative hierarchical clustering. The .-means clustering algorithm is described including the outline of the arguments of the relevant R functions and the main limitations and practical concerns to be aware 作者: 主動(dòng) 時(shí)間: 2025-3-28 12:57 作者: 吞噬 時(shí)間: 2025-3-28 18:32
Book‘‘‘‘‘‘‘‘ 2024 they can find an easy entry to the field, as well as being comprehensive of all the major methodologies. For every method, the corresponding chapter starts with the basics, explains the main concepts, and reviews examples from the literature. Every chapter has a detailed explanation of the essentia作者: 變異 時(shí)間: 2025-3-28 20:49
978-3-031-54466-8The Editor(s) (if applicable) and The Author(s) 2024作者: landmark 時(shí)間: 2025-3-29 01:12
Mohammed Saqr,Sonsoles López-PernasThe book is a tutorial for learning analytics, data mining and quantitative methods in education.The book is or beginners and experienced readers with step-by-step tutorials, real-life data and code.T作者: 做作 時(shí)間: 2025-3-29 07:01
http://image.papertrans.cn/l/image/582684.jpg作者: MARS 時(shí)間: 2025-3-29 09:24
https://doi.org/10.1007/978-3-031-54464-4learning analytics methods; educational data mining; quantitative methods in education; social network 作者: osteopath 時(shí)間: 2025-3-29 12:09 作者: BRIBE 時(shí)間: 2025-3-29 17:38
Social Network Analysis: A Primer, a Guide and a Tutorial in Rsis of networks, computation of graph level measures as well as centralities with a concise interpretation in a collaborative environment. The chapter concludes with a discussion of network analysis, next steps as well as a list of further readings.作者: rods366 時(shí)間: 2025-3-29 20:19 作者: TRACE 時(shí)間: 2025-3-30 03:17
aders with step-by-step tutorials, real-life data and code.T.This open access comprehensive methodological book offers a much-needed answer to the lack of resources and methodological guidance in learning analytics, which has been a problem ever since the field started. The book covers all important作者: 錯(cuò) 時(shí)間: 2025-3-30 06:49
Predictive Modelling in Learning Analytics: A Machine Learning Approach in Rwell as a step-by-step tutorial of how to perform predictive modelling in LA using R. The tutorial demonstrates how to predict student success using learning traces originating from a learning management system, guiding the reader through all the required steps from the data preparation all to the evaluation of the built models.作者: ACRID 時(shí)間: 2025-3-30 10:48
An Introduction and R Tutorial to Model-Based Clustering in Education via Latent Profile Analysisinciples of the methods, a guide to choice of number of clusters, evaluation of clustering results and a detailed guide with code and a real-life dataset. The discussion elaborates on the interpretation of the results, the advantages of model-based clustering as well as how it compares with other methods.作者: Harness 時(shí)間: 2025-3-30 13:22 作者: 言外之意 時(shí)間: 2025-3-30 20:03
Introductory Statistics with R for Educational Researcherss. By the end of the chapter, readers should have a solid understanding of the basic statistical concepts and methods commonly used in learning analytics, as well as a practical understanding of how to use R to conduct statistical analysis of learning data.作者: dragon 時(shí)間: 2025-3-30 23:30
