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Multipronged exploratory study: syllabi review of 11 marketing courses plus survey of 14 faculty and interviews

Design · All designs
Evidence · 3 claims (3 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

The article's empirical base is a multipronged exploratory analysis combining a review of marketing course syllabi, a survey of marketing educators, and follow-up qualitative interviews. The review "covered 11 distinct marketing courses taught by the marketing faculty at a large midwestern U.S. public university," followed by "a survey of 14 full-time faculty members" who teach these courses. It extracted learning objectives and topics from syllabi and mapped instructors' reported GAI use to course type and objectives.

Design Implications

Context

Requirements

  • Course syllabi with stated learning objectives
  • Instructor participation in the survey and follow-up discussions

Constraints

  • The sample of courses and instructors was chosen as a convenience sample for providing preliminary validation of the framework and should be expanded in future research

Target Learners

  • marketing faculty designing courses
  • undergraduate and graduate marketing students

Learning Goals

  • aligning GAI use with course learning objectives

Claims

Examples

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Key Sources

  • Narang, Unnati, Vishal Sachdev, and Ruichun Liu. (2025). When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education. Journal of Public Policy & Marketing. https://doi.org/10.1177/07439156251328237
Page metadata
Field Value
type design
id gai-marketing-syllabi-review-faculty-survey
title Multipronged exploratory study: syllabi review of 11 marketing courses plus survey of 14 faculty and interviews
description The article's empirical base is a multipronged exploratory analysis combining a review of marketing course syllabi, a survey of marketing educators, and follow-up qualitative interviews.
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — narang-2025

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