Learning Analytics Methods and Tutorials: A Practical Guide Using R (學習分析方法與教程：使用R的實用指南)

這本開放存取的綜合性方法論書籍，為學習分析領域中資源和方法指導不足的問題提供了急需的解答，這一問題自該領域成立以來便一直存在。書中涵蓋了教育領域中所有重要的定量主題，以及學習分析和教育數據挖掘的最新進展。書籍還深入探討了位於新穎方法論創新前沿的高級方法。書籍的作者包括世界知名的學習分析研究者、R套件開發者以及來自不同領域的方法論專家，提供了一個前所未有的跨學科參考，涵蓋了難以在其他地方找到的新穎主題。

本書從R作為程式語言的基本知識開始，介紹數據清理、數據操作、統計學和分析的基礎知識。這樣一來，書籍對於新手來說非常合適，因為他們可以輕鬆進入這個領域，同時也全面涵蓋了所有主要的方法論。每個方法的相應章節都從基礎開始，解釋主要概念，並回顧文獻中的例子。每章都有對基本技術和基本功能的詳細解釋，結合代碼和使用開放存取的真實數據進行的完整分析教程。書中共包含22章，涵蓋了廣泛的方法，如預測學習分析、網絡分析、時間網絡、認知網絡、序列分析、過程挖掘、因子分析、結構主題建模、聚類、縱向分析和馬可夫模型。這本書真正獨特之處在於，研究人員可以使用包含的代碼，依照逐步教程和提供的數據進行最先進的分析，而無需任何額外資源。

這是一本開放存取的書籍。

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, Europe's 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 Europe's 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. Mohammed's 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.

Mohammed Saqr 是芬蘭東部大學 (UEF) 計算機學院的學習分析副教授及芬蘭研究委員會研究員。根據 Scopus 和 Web of Science 的資料，Mohammed Saqr 領導的學習分析單位在過去五年 (2019-2023) 中是歐洲最具生產力的學習分析實驗室。Mohammed Saqr 擁有瑞典斯德哥爾摩大學的學習分析博士學位。在加入芬蘭的 UEF 之前，Mohammed 曾在法國巴黎大學進行博士後研究，並獲得芬蘭奧盧大學的學習分析 Docent（副教授）稱號。Mohammed Saqr 發表了超過 150 篇經過同行評審的跨學科、方法論和實證研究，涵蓋學習分析、人工智慧、大數據、網絡科學、科學的科學及醫學等領域。Mohammed 獲得了多項獎項，例如其博士論文被評為最佳論文，並獲得多個國際研究獎項（如最佳論文），以及密西根大學學術創新辦公室的獎學金。2023 年，學習分析研究協會 (SOLAR) 授予 Mohammed 歐洲新興學者獎，以表彰其在學習分析及其應用、採用和專業發展方面的顯著研究。Mohammed 獲得了來自多個知名機構的資助，包括芬蘭學院（作為主要研究者）針對個案學習分析的資助，以及瑞典研究委員會（作為共同主要研究者）和其他多項資助。Mohammed 是多本學術期刊的編輯委員會成員，例如《學習技術交易》、《英國教育技術期刊》和《PloS One》。Mohammed 組織並參與了多個國際會議，並發表了多場受邀的主題演講。Mohammed 當前的合作網絡包括來自世界各地的超過一百位研究人員，涵蓋芬蘭、西班牙、瑞典、挪威、日本、愛爾蘭、德國、塞爾維亞、盧森堡、保加利亞、澳大利亞、法國、土耳其、埃及、英國、美國和荷蘭等國。

López-Pernas Sonsoles 自 2022 年起擔任芬蘭東部大學 (UEF) 的高級研究員，並擁有教育數據挖掘的 Docent（副教授）稱號。她在西班牙馬德里理工大學獲得碩士和博士學位。在她的職業生涯中，她開發了多個與教育技術和大數據分析相關的開源軟體專案。她擅長的定量方法包括學習分析、機器學習、過程和序列挖掘、網絡分析、複雜事件處理和數據可視化，這些都在她在學習分析、教育技術和大數據領域的超過 100 篇實證出版物及其卓越的工作成就中得到了證明。Sonsoles 獲得了多項知名獎項和榮譽，包括來自西班牙皇家醫生學院 (RADE) 的研究獎、馬德里理工大學的特別博士論文獎，以及在大學開源軟體比賽 (CUSL) 中的兩個開源專案獎，還有學習分析和基於遊戲學習的最佳論文獎。她參與了多個科學會議和研討會的組織工作（例如芬蘭學習分析與教育中的人工智慧會議及 LAK 的網絡分析研討會），並曾是 LAK、AIED、ICCE 和 Koli Calling 的程序委員會成員。Sonsoles 是《IEEE 教育交易》和《PloS One》的編輯委員會成員。她的合作網絡遍及五大洲。

Mohammed 和 Sonsoles 共同在該領域的頂尖期刊上發表了大量研究，例如《計算機與教育》、《國際計算機支持的協作學習期刊》、《人類行為中的計算機》、《學習分析期刊》等。