INTENSIVE ONLINE WORKSHOP
LEARNING ANALYTICS IN ICT-SUPPORTED ENVIRONMENTS

In this workshop, you will learn the basic concepts related to learning analytics, get familiar with the possibilities of learning analytics in different learning environments, and explore the possibilities of learning analytics in the learning environments you use yourself. The learning environments we will focus on that can support the pedagogical process in a holistic way are Moodle, Schoology, Google Classroom and Edmodo. The workshop will also include a session on the possibilities of learning analytics in the different tools used in the pedagogical process to support certain segments of the pedagogical process (e.g. content presentation, formative assessment), so that you can learn about the possibilities of learning analytics with ICT even if you do not use collaborative learning environments. As learning analytics is very closely linked to the analysis of your own teaching, this workshop will introduce you to some good practices and tools that will enable you to analyse your own teaching.

Authors

Mateja Bevčič, Sanja Jedrinović, Tadeja Nemanič, Ana Žabkar Šalić, Jože Rugelj

Reviewed by

izr. prof. dr. Robert Repnik, prof. dr. Eva Jereb

Proofreading

Ana Žabkar Šalić

Duration

22. december 2021 - 12. januar 2022

Moderation

Tadeja Nemanič

This workshop is designed to introduce us to the learning analytics offered by different ICT. It consists of 7 sections in addition to an introduction and a conclusion: 

  • Learning Analytics

In this topic you will learn some basic terms and concepts related to learning analytics. We will introduce three levels of analytics in education: teaching analytics, learning analytics and teacher research using learning and teaching analytics. In this section you will have a slightly more focused look at learning analytics, where you will have the opportunity to learn about different ICT for the development of learning plans (learning design) and the possibilities to analyse your own teaching based on the learning design you have developed. 

As a conclusion to the section, it is compulsory to prepare and submit an assignment, which represents the first part of the teacher’s research process. In the assignment you will be able to include an example of a teaching plan or teaching preparation, reflect on elements of your own teaching plan that need further attention and prepare research questions to guide your assignments in the rest of the workshop. As a recommended activity, you are welcome to participate in the forum, where you are invited to share your experiences with teaching analytics.

  • A comparative analysis of the possibilities of learning analytics in different learning environments

In this topic you will learn about the different tools that enable us to use learning analytics. We have prepared a comparative analysis of the tools according to the learning analytics criteria. For each tool, we present how it supports data collection, what data analysis options it offers and what data display or visualisation options it offers. For these tools, basic instructions on how to work with them, such as accessing the tool, a short presentation, registration and navigation instructions, are provided in the form of guides.

As a conclusion to the section, it is recommended to participate in a forum on the comparative analysis of different tools on the possibilities of learning analytics in the pedagogical process.

  • Learning analytics in Moodle

In this topic you will learn about learning analytics in Moodle. We will show you how data collection, analysis and reporting is done in Moodle. In more detail, we will introduce you to the Moodle gradebook, where you can collect all the grades obtained in a course. In order to follow students and their work in the online classroom, we present a number of reports. We provide information on how well students are doing in each activity through various analyses and statistics, which you will learn about at the end of this section.

As a conclusion to this section, it is recommended that you participate in the Learning Analytics forum on Moodle, where you can share your experiences, opinions or any concerns with us and other participants.

  • Learning analytics in Schoology

In this topic you will learn about learning analytics in the Schoology learning environment. You will see more detailed presentations of data collection, analysis of learning effectiveness or data processing, and data presentation from the teacher’s and student’s perspective.

As a conclusion to the section, it is recommended that you participate in the Learning Analytics in Schoology forum, where you can share your experiences, opinions or any concerns with us and other participants.

  • Learning Analytics in Edmodo

In this topic you will learn about learning analytics in the Edmodo learning environment. We will present data collection, analysis and visualisation of data in Edmodo by teacher and student. 

As a conclusion to this section, it is recommended to participate in the forum on learning analytics in the Edmodo learning environment, where you can share with us and other participants your experience, opinion or any concerns you may have.

  • Learning Analytics in Google Classroom

In this topic you will learn about learning analytics in Google Classroom. You will learn how data is collected within the environment, how it is analysed by the system and how it is presented to users, both teachers and students.  

As a conclusion to the section, it is recommended that you participate in the Google Classroom Learning Analytics Forum, where you can share your experiences, opinions or any concerns with us and other participants.

  • Learning analytics in different, commonly used tools

In this topic, you will learn about some of the online tools we use in the teaching process to support specific segments of the teaching process. We present a comparative analysis of these tools in terms of the learning analytics they offer to both teachers and students. We focus on the learning analytics, data collection, analysis and display of each tool, presenting examples of reports and results obtained from solving the activities. 

To conclude this section, it is compulsory to prepare and submit an assignment in which you choose an example of the use of ICT in order to provide learning analytics of students’ knowledge or progress for a particular content area. Using your chosen collaborative learning environment, you collect, analyse and present data to determine which type of analytics – descriptive, diagnostic, predictive, prescriptive – your chosen environment allows. It is also recommended that you participate in a forum where you can give your opinion on the learning analytics offered by your specific ICT. 

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