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Table 2 Objectives of the identified professional development and higher education courses

From: Towards an educational data literacy framework: enhancing the profiles of instructional designers and e-tutors of online and blended courses with new competences

Learning objectives

Professional development and higher education coursesa

1

2

3

4

5

6

7

8

9

10

11

12

Understand and use data effectively

Ā Ā Ā Ā 

Ɨ

Ā Ā Ā 

X

Ā Ā Ā 

Efficiently collect educational data and metadata from a wide range of data sources for future analyses

Ā Ā Ā Ā Ā Ā Ā Ā Ā 

X

X

X

Manipulate the educational datasets that capture the learning experience

Ā Ā Ā Ā Ā Ā Ā Ā Ā 

X

Ā 

X

Conduct (basic) data wrangling and analyses

Ā Ā Ā Ā 

X

X

X

X

Ā 

X

Ā 

X

Employ teaching analytics to analyse the lesson plans

Ā Ā Ā 

X

Ā Ā Ā Ā Ā Ā Ā Ā 

Inform teaching and learning decisions

Ā Ā Ā 

X

Ā Ā Ā Ā 

X

Ā 

X

Ā 

Deploy personalized support actions for the students

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

X

Use data-driven methods to answer practical educational questions

Ā Ā Ā 

X

Ā 

X

X

X

Ā Ā Ā Ā 

Address evaluation issues, key diagnostic metrics and their uses, and validity issues

Ā Ā Ā Ā Ā Ā 

X

Ā Ā Ā Ā Ā 

Reflect on the teaching practice by combining insights from both teaching and learning analytics

Ā Ā Ā 

X

Ā Ā Ā Ā Ā Ā Ā Ā 

Raise ethics and privacy considerations

X

Ā Ā Ā 

X

Ā Ā Ā Ā Ā Ā Ā 

Other learning objectives (non data-related)

3

4

6

1

2

1

3

2

0

5

1

0

  1. a1. Digital Competence (https://www.ntnu.edu/studies/courses/EDU3084#tab=omEmnet); 2. Digital Literacyā€”Smart Learning (https://www.ntnu.edu/studies/courses/SOS2020/2017/1#tab=omEmnet); 3. Data Literacy 01 (http://artofeducating.com/online-courses/); 4. Analytics for the Classroom Teacher (https://www.edx.org/course/analytics-for-the-classroom-teacher); 5. Learning Analytics Fundamentals (https://www.edx.org/course/learning-analytics-fundamentals-utarlingtonx-link-la-fundx); 6. Big Data and Education (https://www.edx.org/course/big-data-education-pennx-bde1x-0); 7. Data, Analytics and Learning (https://www.edx.org/course/data-analytics-learning-utarlingtonx-link5-10x); 8. Practical Learning Analytics (https://www.edx.org/course/practical-learning-analyticsmichiganx-plax); 9. Data Literacy for School Teachersā€”EDPZ6012 (https://sydney.edu.au/courses/units-of-study/2018/edpz/edpz6012.html); 10. Advancing computational and data literacy skills schools for life scientists (http://www.nhm.ac.uk/our-science/courses-and-students/advancing-computational-and-data-literacy-for-life-scientists.html); 11. Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching (https://www.edx.org/course/introduction-to-data-wise-a-collaborative-process?); 12. Using Data to Provide Personalized Student Support (https://www.edx.org/course/using-data-provide-personalized-student-utarlingtonx-link-la-ssax)