International Journal of Higher Education Management
Volume 08 Issue 02 (February 2022)
Issue citation and reference package
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1. Investigating the acceptance of applying chat-bot (Artificial intelligence) technology among higher education students in Egypt
Authors: Mohamed A. Ragheb; Passent Tantawi; Nevien Farouk; Ahmed Hatata
Published: 28 Feb 2022
Article URL: https://ijhem.com/details&cid=87
References: Al-Mamary YH, Shamsuddin A, Hamid A, Aziati N. Investigating the key factors influencing management information systems adoption among telecommunication companies in Yemen: the conceptual framework development. International Journal of Energy, Information and Communications. 2015;6(1):59-68. Alharbi, S. and Drew, S. (2014). Using the Technology Acceptance Model in Understanding Academics’ Behavioural Intention to Use Learning Management Systems. International Journal of Advanced Computer Science and Applications, 5(1). Alshboul, Khaled & Bardai, Barjoyai & Alzubi, Mohammad. (2018). the moderating effects of demographic factors in the usage of e-government services among jordanian citizens. International Journal of Humanities and Social Science. 6. 184-199. Bentler, P. M., and Chou, C.-P. (1987). Practical issues in structural modelling. Social. Methods Res. 16, 78–117. DOI: 10.1177/0049124187016001004. Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in LISREL maximum likelihood estimation. Psychometrika50, 229–242. DOI: 10.1007/BF02294248. Brinton, C., Rill, R., Sangtae, H., Mung, C., Smith, R. & Ju, W. (2015). Individualization for Education at Scale: MIIC Design and Preliminary Evaluation. IEEE Transactions on Learning Technologies, 8(1), pp.136–148. Burns, M.E., Houser, M.L. and Farris, K.L. (2017). Theory of planned behaviour in the classroom: An examination of the instructor confirmation-interaction model. Higher Education, 75(6), pp.1091–1108 Carter, L., and F. Belanger, “The utilization of e-government services: citizen trust, innovation and acceptance factors” Information Systems Journal, (15:1), 2005 Chatterjee, S. and Bhattacharjee, K.K. (2020). Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), pp.3443–3463. Chrisinger, D. (2019). The solution lies in education: Artificial intelligence & the skills gap. On the Horizon, 27(1), 1–4. https://doi.org/10.1108/OTH-03-2019-096. Cremer, D., & Bettignies, H. C. (2013). Pragmatic business ethics. The Leadership Maestro, 24(2), 64–67. https://doi.org/10.1111/j.1467-8616.2013.00938.x.              Creswell, J.W., 2009. Mapping the field of mixed methods research. Cronan, T. P., Mullins, J. K., & Douglas, D. E. (2018). Further understanding factors that explain freshman business student's academic integrity intention and behaviour: Plagiarism and sharing homework. Journal of Business Ethics, 147(1), 197–220. Dutta, D. 2017. Developing an Intelligent Chatbot Tool to assist high school students in learning general knowledge subjects. Georgia Institute of Technology. Atlanta Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: An application of UTAUT model. International Journal of Business and Management, 6(4), 161–167 Gerbing, D. W., and Anderson, J. C. (1985). The effects of sampling error and model characteristics on parameter estimation for maximum likelihood confirmatory factor analysis. Multivariate Behav. Res. 20, 255–271. DOI: 10.1207/s15327906mbr2003_2 Hair, Joseph & Black, William & Babin, Barry & Anderson, Rolph. (2010). Multivariate Data Analysis: A Global Perspective. Holmes, Mary. (2008). Higher education reform in Egypt: Preparing graduates for Egypt's changing political economy. Education, Business and Society: Contemporary Middle Eastern Issues. 1. 175-185. 10.1108/17537980810909797. Huang, J.-X., Lee, K.-S., Kwon, O.-W., & Kim, Y.-K. 2017. A chatbot for a dialogue-based second language learning system. CALL in a climate of change: adapting to turbulent global conditions: 151 Kerly, A., Hall, P., & Bull, S. 2007. Bringing chatbots into education: Towards natural language negotiation of open learner models. Knowledge-Based Systems, 20(2): 177–185.                           Khasawneh, M., & Ibrahim, H. (2012). A model for Adoption of ICT in Jordanian Higher Education Institutions: An Empirical Study. Journal of e-Learning & Higher Education, 2012, c1-10. Khechine, H., Pascot, D., Lakhal, S., & Bytha, A. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of ELearning and Learning Objects, 10, 33-52. Retrieved from http://www. ijello.org/Volume10/IJELLOv10p033-052Khechine0876.pd Kozma, R. (2004). Technology, economic development, and educational reform: Global changes and an Egyptian response. Arlington, VA: Pal-Tech. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30, 607-610. Lidén, A. and Nilros, K. (2020). Perceived benefits and limitations of chatbots in higher education. [online] Available at: http://www.divaportal.org/smash/get/diva2:1442044/FULLTEXT01.pdf. Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y., & Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, vol. 50, pp.186-196. Maldonado, Ursula & Khan, Gohar & Moon, Junghoon & Rho, Jae. (2011). E-learning motivation and educational portal acceptance in developing countries. Online Information Review. 35. 66-85. 10.1108/14684521111113597. Menon, R., Tiwari, A., Chhabra, A., & Singh, D. (2014). Study on the higher education in India and the need for a paradigm shift. Procedia Economics and Finance, II, 1, 886–871. https://doi.org/10.1016/S22125671(14)00250-0. Sana'a Y. A critical review of models and theories in field of individual acceptance of technology. International Journal of Hybrid Information Technology. 2016;9(6):143-58 Sekaran, U. and Bougie, R., 2016. Research methods for business: A skill-building approach. John Wiley & Sons. Stefan, A. D. P., & Sharon, K. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 1, 313. https://doi. org/10.1186/s41039-017-0062-8. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3), 425–478 (2003). Wang, Y., Forbes, R., Cavigioli, C., Wang, H., Gamelas, A., Wade, A., Strassner, J., Cai, S. and Liu, S., 2018. Network management and orchestration using artificial intelligence: Overview of ETSI ENI. IEEE Communications Standards Magazine, 2(4), pp.58-65. Winkler, R. & Söllner, M. (2018). Unleashing the Potential of Chatbots in Education: A State-Of-The-Art Analysis. Academy of Management Annual Meeting (AOM). Chicago, USA. Yasmeen, S., Alam, M.T., Mushtaq, M. and Alam Bukhari, M. (2015). Comparative Study of the Availability and Use of Information Technology in the Subject of Education in Public and Private Universities of Islamabad and Rawalpindi. SAGE Open, 5(4), p.215824401560822.
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2. Transformation Projects and Virtual Military Strategy
Authors: Antoine Trad
Published: 28 Feb 2022
Article URL: https://ijhem.com/details&cid=88
References: Acer (2018).  Education Trends-How Education can benefit from vActivity. Acer. https://acerforeducation.acer.com/education-trends/how-education-can-benefit-from-vActivity/, accessed on 18-FEB-2021. Alton, L. (2019). An Introductory Guide to vActivity Technology. Connected. https://community.connection.com/an-introductory-guide-to-vActivity-technology/ Bailey, K. (2012). What would my avatar do? Video games and risky decision making. Graduate Theses and Dissertations Iowa State University Capstones, Theses and Dissertations. Iowa State University. USA. Cheyney, S. (2021). Strategy and Tactics, Military. Scholastic Inc. USA. Daellenbach, H., McNickle, D. & Dye, Sh, (2012). Management Science - Decision making through systems thinking. 2nd edition. Palgrave Macmillian. USA. Della Croce, F., & T'kindt, V. (2002). A Recovering Beam Search algorithm for the one-machine dynamic total completion time scheduling problem, Journal of the Operational Research Society, 53:11, 1275-1280. Taylor & Francis. Easterbrook, S., Singer, J., Storey, M., & Damian, D. (2008). Guide to Advanced Empirical Software Engineering-Selecting Empirical Methods for Software Engineering Research. F. Shull et al. (eds.). Springer. Einstein, A., & Shaw, G; (2012). Cosmic religion, With other opinions and aphorisms. Dover Publications. International Monetary Fund (2009). Switzerland: Financial Sector Assessment Program - Detailed Assessment of Observance of Financial Sector Standards and Codes. International Monetary Fund, 5. kol 2009. - Page: 170. Jonkers, H., Band, I., & Quartel, D. (2012a). ArchiSurance Case Study. The Open Group. Kania, E., & Vorndick, W. (2019). Weaponizing Biotech: How China's Military Is Preparing for a 'New Domain of Warfare. Government Media Executive Group LLC. Krasner, E. (2020). How to choose between rule-based AI and machine learning. TechTalks. Le Baher, H. (2019). Data Science as support of vActivity performance and strategies (I)-First step : A general case study about the League of Legends World Championship. Towardsdatascience. Mees, W. (2017). Security by Design in an Enterprise Architecture Framework. Royal Military Academy, Department CISS. Renaissancelaan 30, 1000 Brussel. NATO. Belgium. Leitch, R. & Day, Ch. (2000). Action research and reflective practice: towards a holistic view. Taylor & Francis. Queen's University of Belfast, United Kingdom. Retrieved February 10, 2018, from https://www.tandfonline.com/doi/ref/10.1080/09650790000200108?scroll=top  Merriam-Webster (2020a). intelligence. Intelligence | Definition of Intelligence by Merriam-Webster. Myers, B., Pane, J. & Ko, A. (2004). Natural programming languages and environments. ACM New York, NY, USA. Open4Tech (2019). Trees vs. Graphs. Open4Tech. https://open4tech.com/trees-vs-graphs/ Potier, A. (2020). NATURAL LANGUAGE PROCESSING: HOW AI UNDERSTANDS OUR LANGUAGES. Konverso. Rudolf, K., Bickmann, P., Froböse, I., Tholl, Ch., Wechsler, K., & Grieben, Ch. (2020). Demographics and Health Behavior of Video Game and vActivity Players in Germany: The vActivity Study 2019. National Center for Biotechnology Information, U.S. National Library of Medicine. Rockville Pike, Bethesda. USA. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142975/ The Open Group (2011a). Architecture Development Method. The Open Group. USA. Reviewed in February 2018, http://pubs.opengroup.org/architecture/togaf9-doc/arch/chap05.html. Sankaralingam, K., Ferris, M., Nowatzki, T., Estan, C., Wood, D., & Vaish, N. (2013). Optimization and Mathematical Modeling in Computer Architecture. Morgan & Claypool Publishers. Scharre, P. & Riikonen, A. (2020). Defense Technology Strategy. Center for a New American Security. USA. The Open Group (2011b). Security Architecture and the ADM. The Open Group. https://pubs.opengroup.org/architecture/togaf91-doc/arch/chap21.html Stupples, B., & Sazonov, A., & Woolley, S. (2019). UBS Whistle-Blower Hunts Trillions Hidden in Treasure Isles. Bloomberg-Economics. Bloomberg. Reviewed in November 2019 https://www.bloomberg.com/news/articles/2019-07-26/ubs-whistle-blower-hunts-trillions-hidden-in-treasure-islands Tolos, J. (2018). Artificial intelligence-An introduction to AI. Meduim. https://medium.com/@joantolos/artificial-intelligence-abe8f1b1cfc2 Trad, A., & Kalpić, D. (2020a). Using Applied Mathematical Models for Business Transformation. IGI Complete Author Book. IGI Global. USA. Verdict (2020). Analysis-vActivity: Technology Trends GlobalData Thematic Research. Verdict. https://www.verdict.co.uk/vActivity-technology-trends/ Wooden, A. (2021). How BGI4VR is Revolutionising the Future of vActivity. Intel Corporation. https://www.intel.co.uk/content/www/uk/en/it-management/cloud-analytic-hub/big-data-powered-vActivity.html
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3. Introducing cannabis education on a college Campus in 2021 The case of Medgar Evers College
Authors: Alicia E. Reid; Micah E. S. Crump; Vikiana R. Clement; JoAnn D. Rolle
Published: 28 Feb 2022
Article URL: https://ijhem.com/details&cid=89
References: Arcview Market Report (2019). Arcview Group, Intrado GlobalNewswire. Adinoff, B., & Reiman, A. (2019). Implementing social justice in the transition from illicit to legal cannabis. The American journal of drug and alcohol abuse, 45(6), pp. 673-688. Ayers, J. (2019) The need for federal regulation of marijuana marketing. JAMA. 321(22), pp. 2163–2164. Barcott, B., Whitnet, B., & Bailey, J. (2021). Legal cannabis now supports 321,000 full-time American jobs. Jobs Report 2021. pp 1-16. Black, B. (2020) Creating a qualified cannabis workforce: How higher education can support cannabis career pathway. 9th International Conference on Business & Economic Development. Online. August 22, 2020. Bodwitch, H., Carah, J., Daane, K. M., Getz, C., Grantham, T. E., Hickey, G. M., & Wilson, H. (2019). Growers say cannabis legalization excludes small growers, supports illicit markets, undermines local economies. California Agriculture, 73(3), 177–183. Bunting, W.C., Garcia, L., & Edwards, E. (2013) The war on marijuana in black and white. American Civil Liberties Union, June, pp. 1-190. Caligiuri, F.J., Ulrich, E.E., & Welter, K.J. (2018). Pharmacy student knowledge, confidence and attitudes toward medical cannabis and curricular coverage. American Journal of Pharmaceutical Education, 82(5), pp. 424-432. Cheng, C., Mayer, W.J., & Mayer, Y. (2018). The effect of legalizing retail marijuana on housing values: Evidence from Colorado. Economic Inquiry, 56(3), pp. 1585-1601. Collins, J. (2020). A Brief History of Cannabis and the Drug Conventions. AJIL Unbound, 114, pp. 279-284. Coopman, S. & Coopman, T. (2020). ExperientialLearning@SocialMedia.edu: Using the tech start-up concept to train, engage, and inform students. Ubiquitous Learning: An International Journal. 13, pp. 1-29. Corso, R. (2020) Building an Innovative and Entrepreneurial Dimension in an Institution of Higher Education. Higher Education for the Future, 7(2), pp. 200-214 Crowder, L. (2019). The rapid evolution of UC cannabis research. California agriculture 73(3-4), 106-112.R-15. Crump, M.E.C., Rolle, J.D., Reid, A.E., & Brevett, R. (2020). Faculty impact on campus survivability through student experience: An appeal to reengineer faculty offerings to students at at-risk colleges facing existential threat. Paper presented at the 9th International Conference on Business & Economic Development, online. August 22, 2020. Crump, M.E.S., Hills, N.J., & Hardin, B.W. (2018).  Informal economy as a cause for understating actual rates of entrepreneurship among blacks in the U.S. and in Africa. International Journal of Business & Economic Development, 6(3), 15-28. Crump, M.E.S., Singh, R.P, Wilbon, A.D., & Gibbs, S.R. (2015). Socio-demographic differences of black versus white entrepreneurs. Academy of Entrepreneurship Journal, 21(1), pp. 115-129. Crump, M.E.S. (2013).  Black entrepreneurship: Formal versus informal economy exploitation.  Washington Business Research Journal, 3(1), pp. 85-111. DiDiodato, G., Hassan, S., & Cooley, K. (2021). Elicitation of stakeholder viewpoints about medical cannabis research for pain management in critically ill ventilated patients: A Q-methodology study. PLoS ONE, 16(3). pp. 1-11. Dills, A. K., Goffard, S., Miron, J., & Partin, E. (2021). The Effect of State Marijuana Legalizations: 2021 Update. Cato Institute, Policy Analysis, 908, pp. 1-40. Erickson, B (2020). Cannabis research stalled by federal inaction. US scientists face numerous barriers to studying health effects of cannabis. C&EN 98(25), pp. 2-10. Ferraiolo, K. (2007) From Killer Weed to Popular Medicine: The Evolution of American Drug Control Policy, 1937–2000. Journal of Policy History, 19(2), pp. 147 - 179. Fromhold-Eisebith, M. & Werker, C. (2013). Universities’ functions in knowledge transfers: A geographical perspective. The Annals of Regional Science, 51, pp. 621-643. Ghiabi, M., Maarefvand, M., Bahari, H., & Alavi, V. (2018). Islam and cannabis:  Legalisation and religious debate in Iran. International Journal of Drug Policy, 56, pp. 121–127. Grech, V. (2019). Towards evidence-based medical cannabis. Malta Medical Journal 31(2), pp. 3-8. Grey, S. (2016). Cannabis and spirituality. Park Street Press, Rochester, Vermot. Hasse, J. (2019,). U.S. Universities offering cannabis – focused graduate programs and masters. Forbes, July 17. Harris, K., Matin, W. (2021). Persistent Inequities in Cannabis Policy. The Judges' journal. 60(1), pp. 9-13. HMS Communications (2019). $9 million donation earmarked for cannabis research. The Harvard Gazette. Hill, K.P., & Palastro, M.D. (2017). Medical cannabis for the treatment of chronic pain and other disorders: misconceptions and facts. Poli Arch Intern Med, pp. 1-5 Hillerbrand, R., & Werker, C. (2019). 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Advances in Clinical Pharmacy Education & Training. Lashley, K., & Pollock, T. G. (2020). Waiting to Inhale: Reducing Stigma in the Medical Cannabis Industry. Administrative Science Quarterly, 65(2), 434–482. Lee, M. J., Rittschof, C. C., Greenlee, A. J., Turi, K. N., Rodriguez-Zas, S. L., Robinson, G. E., Cole, S. W., & Mendenhall, R. (2021). Transcriptomic analyses of black women in neighborhoods with high levels of violence. Psych neuroendocrinology, 127, pp. 1-8. Mishra, S. (2020) Social networks, social capital, social support, and academic success in higher education: A systematic review with a special focus on ‘underrepresented’ students. Educational Research Review 29(100301), pp. 1-24. Musto, D.F. (1991). Opium, cocaine, and marijuana in American history. Scientific American 265(1), pp. 20–27. OECD. (2020, June 18). Resourcing higher education: Challenges, choices, and consequences. OECD Report, pp. 1-168. Parker, S. (2020). 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4. Aligning digital literacy and student academic success: Lessons learned from COVID-19 pandemic
Authors: Veronica Udeogalanya
Published: 28 Feb 2022
Article URL: https://ijhem.com/details&cid=90
References: Affouneh, S., Salha, S., N., & Khlaif, Z. (2020). Designing quality e-learning environments for emergency remote teaching in coronavirus crisis.      Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(2), 1–3 Anderson, Allison. 2020. COVID-19 Outbreak Highlights Critical Gaps in School               Emergency Preparedness, The Brookings Institution March 11, 2020. Azzi-Hucktigran Kaliope, and Tigran Shmis. 2020. Managing the Impact of COVID-19 on Education Systems Around the World: How Countries Are Preparing, Coping, and Planning for Recovery, The World Bank, March 18, 2020. Basilaia, G., Kvavadze, D. (2020). Transition to online education in schools during a       SARS-CoV-2 coronavirus (COVID-19) pandemic in Georgia. Pedagogical Research,     5(4), 10. https://doi.org/10.29333/pr/7937 Google Scholar Brianna, D., Derrian, R., Hunter, H., Kerra, B., & Nancy, C. (2019). Using EdTech to enhance learning. International Journal of the Whole Child, 4(2), 57–63. Casey, L., Bruce, B.C. (2010) Sustaining the Inquiry Cycle: Digital literacy reframed, in Gibson, D., Dodge, B. (Eds) Proceedings of Society for Information Technology & Teacher Education International Conference 2010, pp. 1372–1379. Chesapeake,        VA: AACE.  http://www.editlib.org/p/33548; http://www.editlib.org/p/33548 Cluver L. Parenting in a time of COVID-19. Lancet. 2020;395(2020): E64. [PMC free article] [PubMed] [Google Scholar] Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crises. Journal of              Educational Technology, 49(1), 5–22. https://doi.org/10.1177/0047239520934018 Doucet, A., Netolicky, D., Timmers, K., Tuscano, F. J. (2020). Thinking about pedagogy in an unfolding pandemic (An Independent Report on Approaches to Distance       Learning during COVID-19 School Closure). Work of Education International and UNESCO.  https://issuu.com/educationinternational/docs/2020_research_covid                 -19_eng. Google Scholar Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and eLearning during COVID-19 pandemic. Computer Networks, 176, 107290. García, Emma, Elaine Weiss, and Lora Engdahl. 2020. “Access to Online Learning Amid                 Coronavirus Is Far from Universal, and Children Who Are Poor Suffer from a Digital Divide.” Working Economics Blog (Economic Policy Institute), April 17,        2020. Greeley, Christopher S. 2020. “Child Maltreatment Prevention in the Era of Coronavirus              Disease 2019.” JAMA Pediatrics. Published online August 03, 2020.             https://doi.org/10.1001/ jamapediatrics.2020.2776. Hodges, C.B., Moore, S.L., Lockee, B.B., Trust, T., Bond, M.A. (2020, March 27). The difference between emergency remote teaching and online learning. EDUCAUSE Review. https://tinyurl.com/rekxcrq Lazarus, J. V. et al. COVID-SCORE: a global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10). PLoS ONE 15,         e0240011 (2020). Mantiri, O., Hibbert, G. K., & Jacobs, J. (2019). Digital literacy in ESL classroom. Universal Journal of Education Research 7(5), 1301-1305. Retrieved from                http://www.hrpub.org DOI: 10.13189/ujer.2019.070515 Murgatrotd, S. (2020, March). COVID-19 and Online learning, Alberta, Canada.                doi:10.13140/RG.2.2.31132.8512. Google Scholar Petrie (2020), “Covid-19 and the Australian Human Rights Acts. https://orcid.org/0000-0003-1061-2863 Pew Research Center, 2021, “Social Media Use in 2021”, Survey of US Adults Conducted January 25 – February 8, 2021 Sintema, E. J. (2020 April 7). Effect of COVID-19 on the performance of grade 12             students: Implications for STEM education. EURASIA Journal of Mathematics, cience and Technology Education, 16(7).  https://doi.org/10.29333/ejmste/7893. Google Scholar Stratford, Brandon. 2020. As Schools Reopen, Addressing COVID-19–Related Trauma and Mental Health Issues Will Take More Than Mental Health Services. Child       Trends, July 2020. Tinubu Ali, Titilayo, and Mirel Herrera. 2020. Distance Learning During COVID-19: 7 Equity Considerations for Schools and Districts. Southern Education Foundation,          April 2020. UNESCO. Education: From Disruption to Recovery. (2020). Available online at:  https://en.unesco.org/covid19/educationresponse (accessed May 24, 2020).          United States Federal Communications Commission (FCC), 2014 Widana, I. (2020). The effect of digital literacy on the ability of teachers to develop HOTS-based assessment. Journal of Physics: Conference Series. 1503. 012045. 10.1088/1742-6596/1503/1/012045
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