Learning Analytics Methods and Tutorials: A Practical Guide Using R | Agenda Bookshop Skip to content
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Online orders placed from 19/12 onward will not arrive in time for Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Mohammed Saqr
B01=Sonsoles López-Pernas
Category1=Non-Fiction
Category=JNV
Category=UFM
Category=UNF
Category=UYQE
COP=Switzerland
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch

Learning Analytics Methods and Tutorials: A Practical Guide Using R

English

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 quantitative topics in education at large as well as the latest in learning analytics and education data mining. The book also goes deeper into advanced methods that are at the forefront of novel methodological innovations. Authors of the book include world-renowned learning analytics researchers, R package developers, and methodological experts from diverse fields offering an unprecedented interdisciplinary reference on novel topics that is hard to find elsewhere.

The book starts with the basics of R as a programming language, the basics of data cleaning, data manipulation, statistics, and analytics. In doing so, the book is suitable for newcomers as 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 essential techniques and basic functions combined with code and a full tutorial of the analysis with open-access real-life data. A total of 22 chapters are included in the book covering a wide range of methods such as predictive learning analytics, network analysis, temporal networks, epistemic networks, sequence analysis, process mining, factor analysis, structural topic modeling, clustering, longitudinal analysis, and Markov models. What is really unique about the book is that researchers can perform the most advanced analysis with the included code using the step-by-step tutorial and the included data without the need for any extra resources.

This is an open access book.

See more
Current price €40.47
Original price €43.99
Save 8%
Age Group_Uncategorizedautomatic-updateB01=Mohammed SaqrB01=Sonsoles López-PernasCategory1=Non-FictionCategory=JNVCategory=UFMCategory=UNFCategory=UYQECOP=SwitzerlandDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 26 Jul 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031544668

About

Mohammed Saqr is an Associate Professor of learning analytics and Academy of Finland Research Council researcher. Mohammed Saqr leads the Unit of learning analytics at the University of Eastern Finland (UEF) School of Computing which was according to Scopus and Web of Science Europes most productive learning analytics lab during the last five years (2019-2023). Mohammed Saqr has a PhD in learning analytics from Stockholm University Sweden. Before joining UEF in Finland Mohammed had a postdoc at Université Paris Cité France and obtained the title of Docent in learning analytics from the University of Oulu Finland. Mohammed Saqr published more than 150 peer-reviewed interdisciplinary methodological and empirical studies about learning analytics artificial intelligence big data network science science of science and medicine. Mohammed has several awards e.g. the PhD was awarded the best thesis he also got several international research awards (e.g. best papers) and obtained the University of Michigan Office of Academic Innovation fellowship. In 2023 the Society of Learning Analytics Research (SOLAR) granted Mohammed Europes Emerging Scholar Award for noteworthy research leading to significant knowledge and understanding of learning analytics and the impact of research on learning analytics application adoption and professional development in Europe. Mohammed got funding from prestigious institutions: Academy of Finland (as PI) for idiographic learning analytics and Swedish Research Council (as Co-PI) as well as several other grants. Mohammed is on the editorial board of several academic journals e.g. Transactions of Learning Technologies British Journal of Education Technologies and Plos One. Mohammed organized and contributed to several international conferences and presented several invited keynotes and talks. Mohammeds current collaboration network includes more than a hundred researchers from around the world including Finland Spain Sweden Norway Japan Ireland Germany Serbia Luxembourg Bulgaria Australia France Turkiye Egypt UK USA and the Netherlands. López-Pernas Sonsoles is a Senior Researcher at University of Eastern Finland (UEF) since 2022 and holds the title of Docent (adjunct professor) in educational data mining. She obtained her Masters and PhD in Engineering from Universidad Politécnica de Madrid (Spain). During her career she has developed several open-source software projects related to educational technology and big data analysis. She is skilled in quantitative methods that include learning analytics machine learning process and sequence mining network analysis complex event processing and data visualization which are proven by more than 100 empirical publications in the field of learning analytics education technology and big data as well as her impressive workplace achievements. Sonsoles has obtained several prestigious awards and recognitions that include a research award from theRoyal Academy of Doctors of Spain (RADE) the extraordinary PhD thesis award from Universidad Politécnica de Madrid and two open source project awards in the university open source software contest (CUSL) as well as best paper awards in learning analytics and game-based learning. She has contributed to the organization of several scientific conferences and workshops (e.g. Finnish Learning Analytics and Artificial Intelligence in Education conference and Network Analysis workshop at LAK) and has been part of the program committee of LAK AIED ICCE and Koli Calling. Sonsoles sits on the editorial board of IEEE Transactions on Education and PloS One. Her collaboration network extends over the five continents. Together Mohammed and Sonsoles have extensively published in top journals in the field such as Computers & Education International Journal of Computer Supported Collaborative Learning Computers in Human Behavior Journal of Learning Analytics and Educational Research Review as well as top conferences e.g. LAK ECTEL ICALT and TEEM.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept