References
- Amiri, P., and E. Karahanna. 2022. “Chatbot Use Cases in the Covid-19 Public Health Response.” Journal of the American Medical Informatics Association 29 (5): 1000–1010. https://doi.org/10.1093/jamia/ocac014.
- Androutsopoulou, A., N. Karacapilidis, E. Loukis, and Y. Charalabidis. 2019. “Transforming the Communication between Citizens and Government through AI-Guided Chatbots.” Government Information Quarterly 36 (2): 358–367. https://doi.org/10.1016/j.giq.2018.10.001.
- Bergerson, Amy Aldous. 2009. “College Choice and Access to College: Moving Policy, Research, and Practice to the 21st Century.” ASHE Higher Education Report 35 (4): 1–141. https://doi.org/10.1002/aehe.3504.
- Boyd, D., and K. Crawford. 2012. “Critical Questions for Big Data Information.” Communication & Society 15 (5): 662–679.
- Briggs, Senga, and Alex Wilson. 2007. “Which University? A Study of the Influence of Cost and Information Factors on Scottish Undergraduate Choice.” Journal of Higher Education Policy and Management 29 (1): 57–72. https://doi.org/10.1080/13600800601175789.
- Chaves, Ana Paula, Jesse Egbert, Toby Hocking, Eck Doerry, and Marco Aurelio Gerosa. 2022. “Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots.” ACM Transactions on Computer-Human Interaction (TOCHI) 29 (2): 1–38. https://doi.org/10.1145/3487193.
- Cingillioglu, Ilker, Uri Gal, and Artem Prokhorov. 2023. “Social Media Marketing for Student Recruitment: An Algorithmically Sequenced Literature Review.” Journal of Marketing for Higher Education, 1–23. https://doi.org/10.1080/08841241.2023.2177789.
- CX Central. 2019. “How the Australian Tax Office is Using a Virtual Assistant to Improve Self-service.” Accessed February 15, 2023. https://cxcentral.com.au/advanced-technology/virtual-assistant-to-improve-self-service/.
- Dunnett, Andrew, Jan Moorhouse, Caroline Walsh, and Cornelius Barry. 2012. “Choosing a University: A Conjoint Analysis of the Impact of Higher Fees on Students Applying for University in 2012.” Tertiary Education and Management 18: 199–220.
- Goda, Y., Y. Masanori, H. Matsukawa, and K. Hata. 2014. “Conversation with a Chatbot Before an Online EFL Group Discussion and the Effects on Critical Thinking.” The Journal of Information and Systems in Education 13 (1): 1–7. https://doi.org/10.12937/ejsise.13.1.
- Hachaturyan, Violetta, Maya Adam, Caterina Favaretti, Merlin Greuel, Jennifer Gates, Till Bärnighausen, and Alain Vandormael. 2021. “Reactance to Social Authority in a Sugar Reduction Informational Video: Web-based Randomized Controlled Trial of 4013 Participants.” Journal of Medical Internet Research 23 (11): e29664. https://doi.org/10.2196/29664.
- Haugeland, I. K. F., A. Følstad, C. Taylor, and C. A. Bjørkli. 2022. “Understanding the User Experience of Customer Service Chatbots: An Experimental Study of Chatbot Interaction Design.” International Journal of Human-Computer Studies 161:102788. https://doi.org/10.1016/j.ijhcs.2022.102788.
- Kim, S., J. Lee, and G. Gweon. 2019. “Comparing Data from Chatbot and Web Surveys: Effects of Platform and Conversational Style on Survey Response Quality.” In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–12. NY: ACM Press.
- Lee, Ines, and Eileen Tipoe. 2022. “Global COVID-19 Vaccine Inequity: Preferences for Overseas Vaccine Donations Over Booster Shots.” Brain, Behavior, & Immunity-Health 21:100447. https://doi.org/10.1016/j.bbih.2022.100447.
- Lemon, Laura L., and Jameson Hayes. 2020. “Enhancing Trustworthiness of Qualitative Findings: Using Leximancer for Qualitative Data Analysis Triangulation.” The Qualitative Report 25 (3): 604–614.
- Lomer, Sylvie, Vassiliki Papatsiba, and Rajani Naidoo. 2018. “Constructing a National Higher Education Brand for the UK: Positional Competition and Promised Capitals.” Studies in Higher Education 43 (1): 134–153. https://doi.org/10.1080/03075079.2016.1157859.
- Moeck, Ella K., Victoria M. E. Bridgland, and Melanie K. T. Takarangi. 2022. “Food for Thought: Commentary on Burnette et al. (2021) ‘Concerns and Recommendations for Using Amazon MTurk for Eating Disorder Research’.” International Journal of Eating Disorders 55 (2): 282–284. https://doi.org/10.1002/eat.23671
- Noble, Christy, Mia O'Brien, Ian Coombes, P. Nicholas Shaw, and Lisa Nissen. 2011. “Concept Mapping to Evaluate an Undergraduate Pharmacy Curriculum.” American Journal of Pharmaceutical Education 75 (3): 55.
- Nurnberg, Peter, Morton Schapiro, and David Zimmerman. 2012. “Students Choosing Colleges: Understanding the Matriculation Decision at a Highly Selective Private Institution.” Economics of Education Review 31 (1): 1–8. https://doi.org/10.1016/j.econedurev.2011.07.005.
- Palan, Stefan, and Christian Schitter. 2018. “Prolific. ac—A Subject Pool for Online Experiments.” Journal of Behavioral and Experimental Finance 17:22–27. https://doi.org/10.1016/j.jbef.2017.12.004.
- Pandey, S., S. Sharma, and S. Wazir. 2022. “Mental Healthcare Chatbot Based on Natural Language Processing and Deep Learning Approaches: Ted the Therapist.” International Journal of Information Technology 14 (7): 3757–3766. https://doi.org/10.1007/s41870-022-00999-6.
- Park, SoHyun, Jeewon Choi, Sungwoo Lee, Changhoon Oh, Changdai Kim, Soohyun La, Joonhwan Lee, and Bongwon Suh. 2019. “Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study.” Journal of Medical Internet Research 21 (4): e12231. https://doi.org/10.2196/12231.
- Perry, Ronald F., and David L. Rumpf. 1984. “Predicting the Likelihood of Matriculation for College Applicants.” Research in Higher Education 21: 317–328.
- Prolific. 2023. “Prolific: A Higher Standard of Online Research.” https://www.prolific.co.
- Reicherts, L., Y. Rogers, L. Capra, E. Wood, T. D. Duong, and N. Sebire. 2022. “It's Good to Talk: A Comparison of Using Voice versus Screen-based Interactions for Agent-assisted Tasks.” ACM Transactions on Computer-Human Interaction (TOCHI) 29 (3): 1–41. https://doi.org/10.1145/3484221.
- Sarkar, Dipanjan, and Dipanjan Sarkar. 2016. “Semantic and Sentiment Analysis.” Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from Your Data, 319–376. https://doi.org/10.1007/978-1-4842-2388-8_7.
- Sidaoui, Karim, Matti Jaakkola, and Jamie Burton. 2020. “AI Feel you: Customer Experience Assessment via Chatbot Interviews.” Journal of Service Management 31 (4): 745–766. https://doi.org/10.1108/JOSM-11-2019-0341.
- Sin, Cristina, Orlanda Tavares, Joyce Aguiar, Ricardo Biscaia, and Alberto Amaral. 2022. “International Students in Portuguese Higher Education: Who are They and What are their Choices?” Studies in Higher Education 47 (7): 1488–1501. https://doi.org/10.1080/03075079.2021.1916907.
- Smith, Andrew E., and Michael S. Humphreys. 2006. “Evaluation of Unsupervised Semantic Mapping of Natural Language with Leximancer Concept Mapping.” Behavior Research Methods 38 (2): 262–279. https://doi.org/10.3758/BF03192778.
- Te Pas, M. E., W. G. Rutten, A. R. Bouwman, and M. P. Buise. 2020. “User Experience of a Chatbot Questionnaire Versus a Regular Computer Questionnaire: Prospective Comparative Study.” JMIR Medical Informatics 8 (12): e21982. https://doi.org/10.2196/21982.
- Walsh, Caroline, Jan Moorhouse, Andrew Dunnett, and Cornelius Barry. 2015. “University Choice: Which Attributes Matter When you are Paying the Full Price?” International Journal of Consumer Studies 39 (6): 670–681.
- Ziang, X., M. X. Zhou, V. Q. Liao, G. Mark, C. Chi, W. Chen, and H. Yang. 2020. “Tell Me about Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-Ended Questions.” ACM Transactions on Computer-Human Interaction (TOCHI) 27 (3): 1–37.