This chapter demonstrates how artificial intelligence (AI) can provide targeted support in planning academic projects—from topic selection to creating a work plan for the exposé. It describes how AI can be used to systematically develop research topics, formulate precise research questions, and select appropriate methods. The focus is on interactive prompts that uncover individual interests, narrow down topics, and examine them scientifically. Using practical scenarios—such as the role of a virtual tutor or research advisor—the chapter explains how AI fosters reflection, structures decision-making processes, and supports students in methodological planning. It also addresses risks such as the uncritical adoption of AI suggestions or the loss of self-reflection. In addition, the chapter provides concrete guidance on developing an outline, choosing a supervisor, and creating a realistic timeline. The aim of the chapter is to make the planning phase of academic work systematic, efficient, and reflective through the targeted use of AI.

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Planning: AI in Conceptualization

  • Fabian Lang

摘要

This chapter demonstrates how artificial intelligence (AI) can provide targeted support in planning academic projects—from topic selection to creating a work plan for the exposé. It describes how AI can be used to systematically develop research topics, formulate precise research questions, and select appropriate methods. The focus is on interactive prompts that uncover individual interests, narrow down topics, and examine them scientifically. Using practical scenarios—such as the role of a virtual tutor or research advisor—the chapter explains how AI fosters reflection, structures decision-making processes, and supports students in methodological planning. It also addresses risks such as the uncritical adoption of AI suggestions or the loss of self-reflection. In addition, the chapter provides concrete guidance on developing an outline, choosing a supervisor, and creating a realistic timeline. The aim of the chapter is to make the planning phase of academic work systematic, efficient, and reflective through the targeted use of AI.