Assessing Learning in a Digital Age

(a)   is a formative assessment technique that can be effectively used in a technology-rich classroom.

• Summative exams
• Exit tickets
• Final projects
• Standardized testing

Technology integration can enhance assessment in a classroom setting by (a)  

• By replacing all traditional teachi
• By providing instant feedback and d
• By making assessments more difficul
• By limiting the types of assessment

Match the following benefits with their descriptions in digital learning environments.

• Feedback is crucial for student self-assessment and growth

• Feedback is unnecessary in digital learning

• Feedback timing is flexible and can be postponed

• Feedback is only useful for teachers, not students

• Feedback has no role in digital education

• Feedback helps students understand their progress and areas for improvement

• Feedback is essential for teachers' evaluations only

• Feedback can be delayed indefinitely

Which of the following best describes data-driven decision making in education?

• Making decisions based on intuition and experience

• Using data to inform and guide instructional strategies and interventions

• Ignoring data in favor of traditional methods

• Relying solely on standardized test scores

Assessments can increase student engagement in a technology-rich classroom by (a)  

• By making assessments longer and mo
• By using interactive and gamified a
• By focusing solely on rote memoriza
• By reducing the frequency of assess

What is a key benefit of using data analytics in educational settings?

• It replaces the need for classroom observations

• It eliminates the need for teacher evaluations

• It provides insights to tailor instruction to student needs

• It guarantees higher student test scores

How can educators ensure the effective use of data in decision making?

• By using data to confirm pre-existing beliefs

• By focusing only on quantitative data

• By integrating data analysis with professional judgment

• By relying solely on historical data

Which of the following is a common challenge in implementing data-driven decision making in schools?

• Overabundance of data leading to analysis paralysis

• Insufficient student participation

• Lack of data collection tools

• Too much reliance on teacher intuition