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Elhajjar, Samer; Karam, Scarlett; Borna, Shaheen – Marketing Education Review, 2021
This research explores the perspectives of business students and marketing educators and practitioners on integrating Artificial Intelligence (AI) into marketing education programs. It also investigates drivers that predict interest on the part of marketing students in taking AI courses. Data were collected through interviews with 20 marketing…
Descriptors: Artificial Intelligence, Marketing, Business Administration Education, Technology Integration
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Bridgette M. Braig; Heather Witt – Marketing Education Review, 2024
We begin with the premise that empathy adds value as a strategic marketing skill. Getting into the heads and hearts of consumers enables tailored offerings and tactics that meet the unique, richly contextualized needs of a given target audience segment. The advent of marketing automation and artificial intelligence (AI) is predicted to make…
Descriptors: Empathy, Business Administration Education, Marketing, Affective Behavior
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Dingus, Rebecca; Black, Hulda G. – Marketing Education Review, 2021
As technology changes rapidly, marketing educators are challenged with maintaining a curriculum that is ever-evolving in order for their graduates to be real-world ready. This paper suggests a highly adaptable exercise that can be used to teach tone analysis while simultaneously familiarizing students with an application of artificial intelligence…
Descriptors: Artificial Intelligence, Marketing, Communication Strategies, Audience Awareness
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Yang, Jing – Journal of Advertising Education, 2023
With artificial intelligence (AI) technologies making significant evolutions over the past few years, there is a growing need for advertising students to get familiarized with the different types of AI technologies and explore and experiment with ways to adapt to such changes. This article illustrates the development and implementation of the…
Descriptors: Advertising, Professional Education, Merchandise Information, Course Descriptions
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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Abhijit Guha; Dhruv Grewal; Stephen Atlas – Journal of Marketing Education, 2024
To understand why and how marketing educators can best use generative artificial intelligence (AI), such as ChatGPT, this article integrates a literature survey, interviews with both marketing educators and managers, and surveys of both marketing educators and students. In leveraging these inputs, the authors argue that generative AI can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Business Administration Education
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Ferrell, O. C.; Ferrell, Linda – Marketing Education Review, 2020
New technologies, including artificial intelligence (AI), enablers of big data analysis, blockchain data systems, robotics, and drones are transforming marketing. Marketing education has adapted over the last 120 years driven by changes in marketing technology that have helped shape the courses taught. Marketing educators are facing challenges in…
Descriptors: Marketing, Textbooks, Interdisciplinary Approach, Robotics
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Luttrell, Regina; Wallace, Adrienne; McCollough, Christopher; Lee, Jiyoung – Journalism and Mass Communication Educator, 2020
Artificial intelligence (AI) has gained both momentum and importance within society over the past several years. This article provides an opening for further discussion to the broader social and digital media research community and those interested in answering important questions related to these areas by leveraging a focused, productive…
Descriptors: Artificial Intelligence, Journalism Education, Social Media, Technology Uses in Education
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Torres, José Saavedra; Heath, C. Edward – Marketing Education Review, 2023
This article investigates the usage of an AI bot app called RNMKRS PitchPerfector to teach the sales skills necessary to deliver a successful elevator pitch. In particular, we wanted to know if the use of this app could increase student self-efficacy toward this critical selling skill. To analyze if RNMKRS had a real impact on students' elevator…
Descriptors: Artificial Intelligence, Self Efficacy, Public Speaking, Speech Skills
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John N. Dyer – Journal of Instructional Pedagogies, 2023
Businesses and other organizations across the globe are becoming more and more data-driven, using a combination of descriptive, diagnostic, predictive and prescriptive analytics to gain a strategic advantage through understanding the past, what we hope to happen in the future, and the ability to accurately predict future outcomes. These forms of…
Descriptors: Data Analysis, Business, Business Administration Education, Information Literacy
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Manoharan, Aroon P.; Rangarajan, Nandhini – Teaching Public Administration, 2023
Communication is a critical government function that has important implications for public administration and effective governance. This research study explores how communication competencies are taught in public affairs programs in the United States. Based on a general web content analysis of graduate programs, and specific analyses of course…
Descriptors: Public Affairs Education, Graduate Study, Course Descriptions, Communicative Competence (Languages)
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Berendt, Bettina; Littlejohn, Allison; Blakemore, Mike – Learning, Media and Technology, 2020
This article examines benefits and risks of Artificial Intelligence (AI) in education in relation to fundamental human rights. The article is based on an EU scoping study [Berendt, B., A. Littlejohn, P. Kern, P. Mitros, X. Shacklock, and M. Blakemore. 2017. "Big Data for Monitoring Educational Systems." Luxembourg: Publications Office of…
Descriptors: Artificial Intelligence, Civil Rights, Freedom, Student Rights
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Blijlevens, Janneke – Journal of Marketing Education, 2023
Marketers and designers are likely to work together on innovation teams as they both have customer satisfaction as their end goals. Collaboration between these disciplines in innovation teams is often impaired due to the different thought-worlds that drive decision making: intuitive versus rational. To facilitate collaboration between design and…
Descriptors: Marketing, Teaching Methods, Design, Guidelines
Hockaday, Tom – Johns Hopkins University Press, 2020
How do we transfer the brilliance of university research results into new products, services, and medicines to benefit society? University research is creating the technologies of tomorrow in the fields of medicine, engineering, information technology, robotics, and artificial intelligence. These early-stage technologies need investment from…
Descriptors: Technology Transfer, Research Universities, Marketing, Intellectual Property
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Mertanen, Katariina; Vainio, Saara; Brunila, Kristiina – Policy Futures in Education, 2022
Managing the future has become one of the major focuses of global governance in education. In its current mode, education seems unable to answer the needs and interests of the market and future megatrends, such as globalisation and digitalisation. Calls for precision education to introduce the usage of digital platforms, artificial intelligence in…
Descriptors: Governance, Futures (of Society), Educational Administration, Technology Uses in Education
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