Marketing Education Review最新文献

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Learning Styles in the Flipped Classroom 翻转课堂中的学习风格
Marketing Education Review Pub Date : 2024-02-19 DOI: 10.1080/10528008.2024.2319742
Kelly Moore, G. Craciun
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引用次数: 0
THE PACKAGING MOCKUP PROJECT: AN EXPERIENTIAL LEARNING EXPERIENCE OF USING PHOTOSHOP IN A BRANDING CLASS 包装模型项目:在品牌课上使用 photoshop 的体验式学习经历
Marketing Education Review Pub Date : 2024-02-10 DOI: 10.1080/10528008.2024.2315576
Rita N. To
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引用次数: 0
THE PACKAGING MOCKUP PROJECT: AN EXPERIENTIAL LEARNING EXPERIENCE OF USING PHOTOSHOP IN A BRANDING CLASS 包装模型项目:在品牌课上使用 photoshop 的体验式学习经历
Marketing Education Review Pub Date : 2024-02-10 DOI: 10.1080/10528008.2024.2315576
Rita N. To
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引用次数: 0
“ENHANCING LEARNING POTENTIAL: INVESTIGATING MARKETING STUDENTS’ BEHAVIORAL INTENTIONS TO ADOPT CHATGPT” "提高学习潜力:调查市场营销专业学生采用 chatgpt 的行为意向"
Marketing Education Review Pub Date : 2024-01-02 DOI: 10.1080/10528008.2023.2300139
Anmol Gulati, Harish Saini, Sultan Singh, Vinod Kumar
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引用次数: 0
What the Font! The Role of Handwritten Font in Course Interest, Student Inference, and Learning Outcome 字体是什么?手写字体在课程兴趣、学生推论和学习效果中的作用
Marketing Education Review Pub Date : 2023-12-08 DOI: 10.1080/10528008.2023.2290730
Mary Jane Gardner, Ru Wu, Patricia R. Todd
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引用次数: 0
EDITORIAL: ENHANCING MARKETING EDUCATION AND STUDENT EXPERIENCES 社论:加强市场营销教育和学生体验
Marketing Education Review Pub Date : 2023-10-02 DOI: 10.1080/10528008.2023.2260588
Seung Hwan (Mark) Lee
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引用次数: 0
DRIVERS OF MARKETING CAREER SUCCESS 营销职业成功的驱动因素
Marketing Education Review Pub Date : 2023-09-07 DOI: 10.1080/10528008.2023.2251950
B. Wierenga, Maciej Szymanowski, G. V. van Bruggen
{"title":"DRIVERS OF MARKETING CAREER SUCCESS","authors":"B. Wierenga, Maciej Szymanowski, G. V. van Bruggen","doi":"10.1080/10528008.2023.2251950","DOIUrl":"https://doi.org/10.1080/10528008.2023.2251950","url":null,"abstract":"","PeriodicalId":37208,"journal":{"name":"Marketing Education Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45396324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COURSE PROJECTS AS VALUE CO-CREATION TOOLS: DEVELOPING UNIVERSITY COLLABORATION OPPORTUNITIES 作为价值共同创造工具的课程项目:开发大学合作机会
Marketing Education Review Pub Date : 2023-09-01 DOI: 10.1080/10528008.2023.2253799
Ginger Killian, Todd McClure, Scott Smith
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引用次数: 0
WHAT MATTERS TO STUDENTS? A SCARF-BASED MODEL OF EDUCATIONAL SERVICE RECOVERY 什么对学生来说重要?基于围巾的教育服务恢复模式
Marketing Education Review Pub Date : 2023-07-31 DOI: 10.1080/10528008.2023.2241450
Matthew J. Aplin-Houtz, Laura Munoz, J. R. Fergurson, David E. Fleming, Richard J. Miller
{"title":"WHAT MATTERS TO STUDENTS? A SCARF-BASED MODEL OF EDUCATIONAL SERVICE RECOVERY","authors":"Matthew J. Aplin-Houtz, Laura Munoz, J. R. Fergurson, David E. Fleming, Richard J. Miller","doi":"10.1080/10528008.2023.2241450","DOIUrl":"https://doi.org/10.1080/10528008.2023.2241450","url":null,"abstract":"ABSTRACT Universities found themselves unprepared for the dynamic disruption in their delivery of educational services caused by the COVID-19 pandemic. The rapid transition by universities to move all classes to an online format posed unexpected challenges and highlighted the lack of preparation. One of these challenges was service failure in several university offerings while not addressing the students’ perceived expectations. Within this context, the authors use the SCARF model to examine how motivational factors impact service recovery and value co-recovery in the face of dynamic changes to the students’ learning experience. Stemming from its nature in facilitating and improving collaborations and interactions with others, the SCARF model is considered a successful framework for improving collaboration and engagement in academia. Using PLS-SEM, the data supported Status, Certainty, Relatedness, and Fairness as relevant to having a service recovery that rectified, amended, and restored the student’s interrupted classroom experience. Overall, the results have some essential initial implications for teaching faculty who want to be prepared to recover in case of another educational service delivery failure like the COVID-19 forced transition experienced.","PeriodicalId":37208,"journal":{"name":"Marketing Education Review","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43807432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EDITORIAL: ANALYTICS FOR ANALYTICS 社论:为分析而分析
Marketing Education Review Pub Date : 2023-07-03 DOI: 10.1080/10528008.2023.2238495
Seung Hwan (Mark) Lee
{"title":"EDITORIAL: ANALYTICS FOR ANALYTICS","authors":"Seung Hwan (Mark) Lee","doi":"10.1080/10528008.2023.2238495","DOIUrl":"https://doi.org/10.1080/10528008.2023.2238495","url":null,"abstract":"In this issue, I have compiled articles that focus on analytics. One misconception that students have about learning analytics is that it can become quite mathematical. Their past experiences in calculus or trigonometry classes have skewed their perception of “numbers.” An example that I often use in class when preparing students for quantitative topics is that as marketing managers, we do not need to know intricate details of how a car functions. However, we do need to know how to drive from point A to point B. In other words, analytics is a tool that can be used to make recommendations and decisions. Knowing how the engine of a car functions is certainly an added bonus! This shift in perspective can be useful in reframing students’ minds and their approach to “numbers.” This issue begins by examining the misconception that students have about quantitative courses. In the work by He, Alexander, Nikolov, and Chen, they investigate students’ lack of interest in enrolling in marketing analytics courses. This misconception stems from the perception of marketing as a “soft skill” field, causing students to reassess their expectations about the discipline. The authors discuss the importance of self-efficacy and intervention approaches to address this challenge. Furthermore, Elhajjar and Borna’s research seeks to identify the perspectives of students and educators regarding Big Data courses. Their findings contribute to a list of recommendations for teaching big data in marketing programs. Relatedly, the work by Veeck, Quareshi, O’Reilly, Mumuni, MacMillan, Luqmani, Luqmani, and Xie investigates intervention strategies to assess and address the self-efficacy of marketing students in acquiring analytical skills. They identify three types of confidence: natural ability, ability to learn, and current skills. The authors demonstrate that intervention strategies should differ depending on the level and type of confidence, suggesting that faculty should devise multiple approaches to increase students’ self-efficacy when teaching analytics. Additionally, Teimourzadeh, Kakavand, and Kakavand provide guidelines on how Python, as a programming language, can help students explore large datasets and improve their data analysis and data visualization skills. Lastly, Iqbal examines the importance of curriculum design in relation to career outcomes. As the marketing discipline continues to evolve, the author draws on six best practices from the marketing education literature to demonstrate the impact of curriculum design on career outcomes, such as postgraduation income and long-term career satisfaction. In conclusion, it is evident that more efforts are needed to address the misconceptions students have about the marketing discipline, particularly regarding quantitative courses, and to foster self-efficacy in order to promote student interest and engagement in analytics courses within marketing education. By considering these factors, educators can create an environ","PeriodicalId":37208,"journal":{"name":"Marketing Education Review","volume":"10 11","pages":"177 - 177"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41256920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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