The Learn2Analyze Educational Data Literacy Competence Profile (L2A-EDL-CP)

1.1 Know – understand – be able to obtain, access and gather the appropriate data and/or data sources

1.2 Know – understand – be able to apply data limitations and quality measures (e.g., validity, reliability, biases in the data, difficulty in collection, accuracy, completeness)

2.1 Know – understand – be able to apply data processing and handling methods (i.e., methods for cleaning and changing data to make it more organized – e.g., duplication, data structuring)

2.2 Know – understand – be able to apply data description (i.e., metadata)

2.3 Know – understand – be able to apply data curation processes (i.e., to ensure that data is reliably retrievable for future reuse, and to determine what data is worth saving and for how long)

2.4 Know – understand – be able to apply the technologies to preserve data (i.e., store, persist, maintain, backup data), e.g., storage mediums/services, tools, mechanisms

3.1 Know – understand – be able to apply data analysis and modeling methods (e.g. application of descriptive statistics, exploratory data analysis, data mining).

3.2 Know – understand – be able to apply data presentation methods (e.g., pictorial visualization of the data by using graphs, charts, maps and other data forms like textual or tabular representations)

4.1 Know – understand – be able to interpret data properties (e.g., measurement error, outliers, discrepancies within data, key take-away points, data dependencies)

4.2 Know – understand – be able to interpret statistics commonly used with educational data (e.g., randomness, central tendencies, mean, standard deviation, significance)

4.3 Know – understand – be able to interpret insights from data analysis (e.g., explanations of patterns, identification of hypotheses, connection of multiple observations, underlying trends)

4.4 Be able to elicit potential implications/links of the data analysis insights to instruction

5.1 Know – understand – be able to use data analysis results to make decisions to revise instruction

5.2 Be able to evaluate the data-driven revision of instruction

6.1 Know – understand – be able to use the informed consent

6.2 Know – understand – be able to protect individuals’ data privacy, confidentiality, integrity and security

6.3 Know – understand – be able to apply authorship, ownership, data access (governance), re-negotiation and data-sharing