Evaluating data & digital content in DigComp
Knowledge, Skills and Attitudes Click to read
The essentials for evaluating data and digital content
The essentials for evaluating data and digital content Click to read
Golden rules for evaluating quality content Click to read
Methodologies and logical steps for evaluation of digital content Click to read
Four different proposed methodologies for evaluating of digital data and content Click to read
The 5 Ws methodology
The 5 Ws methodology Click to read
For every resources, article, content you might land on, try to identify & pinpoint:
First ‘W’: Who Click to read
Second ‘W’: What Click to read
Third ‘W’: Where Click to read
Fourth ‘W’: Why Click to read
Fifth ‘W’: When Click to read
SIFT Approach
SIFT Method: Stop - Investigate - Find - Trace Click to read
This simple approach implies a thoughtful analysis of the content through a multi-stage approach
Stop Click to read
Investigate Click to read
Find Click to read
Trace Click to read
CRAAP Test
CRAAP Test Click to read
A slightly advanced approach compared to the previous two, the CRAAP test provides for a series of guiding questions that users can rely on to evaluate the information they have available. Currency Click to read
Relevance Click to read
Authority Click to read
Accuracy Click to read
Purpose Click to read
RADCAB Method
RADCAB: You Vehicle for Information Evaluation Click to read
The RADCAB test comes from a methodology that researches normally use to test and evaluate how ‘good’ an information is for their purpose. R=Relevancy Click to read
A=Appropriateness Click to read
D=Details Click to read
C=Currency Click to read
A= Authority Click to read
Competence 1.2 for Digital Culture
B=BIAS-free Click to read
Competence 1.2 for Digital Culture
Summing up
Summing up Click to read
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Keywords
Credibility, relevance, accuracy, completeness, critical thinking
Objectives / goals:
⮚ Familiarize with practical methods for evaluation of digital data and content… and know-how for their implementation
⮚ Get the essentials of evaluating data, information and digital content and acquire the fundamentals of this competence.
Learning outcomes:
⮚ Assess and contrast the trustworthiness and dependability of the source of digital content, data and information in a critical manner.
⮚ In a critical manner, scrutinize, construe, and evaluate the digital content, information, and data.
Competences:
- Information and Data Literacy
Communication and Collaboration: Interacting with digital technologies for entertainment and culture
- Digital content creation
- Safety
- Problem Solving
Practical advices:
1. Be aware of the different types of wrong information, including misinformation (wrong information) and disinformation (wrong/biased information spread with malicious intents).
2. Learn to distinguish between genuine and biased content by filtering and critically evaluating the sources and references, and identifying potential sources of bias, including authors, origins of the data and sources quoted by the sources, and embedment of political and commercial messages.
3. Use standard methodologies such as 5Ws, SIFT, CRAAP, or RADCAB to assess the accuracy, relevance, and reliability of digital content, and check for inputs that signal these qualities, including author, date of publication, source, external links of reference for double-check, and paid/unpaid content.
4. Apply critical and creative thinking to analyse the credibility, legitimacy, and objectivity of digital content, and perform fact-checking when necessary.
5. Consider the potential impact of online behaviour and the outcome of any possible behaviour and maintain an unbiased and third-person perspective. Use a process that follows the basic steps of browsing, mapping, and assessment to find good quality content on the World Wide Web.