• A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education 

  Helske, Jouni; Helske, Satu; Saqr, Mohammed; López-Pernas, Sonsoles; Murphy, Keefe (Springer, 2024)

  This chapter presents an introduction to Markovian modelling for the analysis of sequence data. Contrary to the deterministic approach seen in the previous sequence analysis chapters, Markovian models are probabilistic ...

• Introductory Statistics with R for Educational Researchers 

  Tikka, Santtu; Kopra, Juho; Heinäniemi, Merja; López-Pernas, Sonsoles; Saqr, Mohammed (Springer, 2024)

  Statistics play a fundamental role in learning analytics, providing a means to analyze and make sense of the vast amounts of data generated by learning environments. This chapter provides an introduction to basic statistical ...

• Visualizing and Reporting Educational Data with R 

  López-Pernas, Sonsoles; Misiejuk, Kamila; Tikka, Santtu; Kopra, Juho; Heinäniemi, Merja; Saqr, Mohammed (Springer, 2024)

  Visualizing data is central in learning analytics research, underpins learning dashboards, and is a prime method for reporting results and insights to stakeholders. In this chapter, the reader will be guided through the ...

• Getting Started with R for Education Research 

  Tikka, Santtu; Kopra, Juho; Heinäniemi, Merja; López-Pernas, Sonsoles; Saqr, Mohammed (Springer, 2024)

  The R programming language has become a popular tool for conducting data analysis in the field of learning analytics. This chapter provides an introduction to the basics of R programming, with a focus on the Rstudio ...

• Negotiating local linguistic and epistemic realities through critical language pedagogy (CLP) in Pakistan 

  Anjum, Sarwat; Ali Shah, Waqar (Routledge, Taylor & Francis Group, 2024)

  With critical pedagogy (CP), teachers and students are empowered to disrupt the dominant ideological structures that tend to dehumanise people and impose oppressive historical consciousness upon them as historical subjects. ...

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