Teaching your Students how to Create Relevant Data Analysis Objectives and Questions-Teaching your Students how to Create Relevant Data Analysis Objectives and Questions

Teaching your Students how to Create Relevant Data Analysis Objectives and Questions

Video Transcription

Video Summary

In this webinar, Ann Dzuranin addresses the topic of enhancing students' skills in creating data analysis objectives and questions. Dzuranin  emphasizes the importance of teaching students to independently develop and articulate their questions, a skill crucial for problem-solving and analytical thinking in professional settings. She outlined a comprehensive approach starting with defining the problem, generating relevant questions, performing analyses, and finally, evaluating results. Dzuranin argued that students often struggle because educational systems typically provide them with questions rather than teaching them how to derive questions themselves. She shared a flowchart method to assist students in formulating data analysis questions that are specific, clear, and measurable while being aligned with the objectives. Dzuranin also highlighted the four types of analytic questions – descriptive, diagnostic, predictive, and prescriptive. Furthermore, she explored how these questions can apply across various accounting disciplines, including financial accounting, auditing, and managerial accounting. The session concluded with a discussion on how instructors could better assess student understanding and incorporate AI considerations, suggesting strategies to guide and encourage students in independently finding data and asking relevant questions.

Keywords

data analysis

Anne Sarandon

student skills

problem-solving

analytical thinking

educational systems

accounting disciplines

AI considerations

question formulation