The Future of Work of Academics in the Age of Artificial Intelligence State-of-the-Art and a Research Roadmap

Authors

  • Authors

  • Maarten Renkema
  • Aizhan Tursunbayeva

DOI:

https://doi.org/10.31430/cxmq3307

Keywords:

future of work, Academia, Knowledge, Artificial Intligence

Abstract

The Future of Work (FoW) has garnered significant attention among scholars and practitioners, with the advent of Artificial Intelligence (AI) playing an important role in shaping this discourse. Despite the common perception that intelligent machines pose a threat to workers in routine roles, AI technologies are increasingly being utilized for advanced tasks carried out by knowledge workers. Drawing on state-of-the-art research and real-life examples we develop an integrated framework to explore the future of academic work. Our focus is on academics, an essential yet under-researched group of knowledge workers, and we discuss their work in relation to AI across space, time, and task dimensions. Our analysis reveals that the usage of AI technologies can have implications for the research, teaching, and service activities of academics and thereby also for the creation, acquisition, dissemination, and application of knowledge. Based on our framework we develop scenarios and propose a future research roadmap.

References

  1. Michael Bearman, Judith Ryan & Rola Ajjawi, "Discourses of Artificial Intelligence in Higher Education: A Critical Literature Review," Higher Education, vol. 86 (2023), pp. 369-385.
  2. Andreas Kaplan & Michael Haenlein, "Siri, Siri, in My Hand: Who's the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence," Business Horizons, vol. 62, no. 1 (2019), pp. 15–25.
  3. Stuart Russell & Peter Norvig, Artificial Intelligence: A Modern Approach, 4 th ed., Global ed. (Harlow: Pearson Education Limited, 2022).
  4. James A. Boyd & Michael Huettinger, "Smithian Insights on Automation and the Future of Work," Futures, vol. 111 (2019), pp. 104–115.
  5. Bearman, Ryan & Ajjawi; Olaf Zawacki-Richter et al., "Systematic Review of Research on Artificial Intelligence Applications in Higher Education—Where Are the Educators?" International Journal of Educational Technology in Higher Education, vol. 16, no. 1 (2019), pp. 1–27.
  6. Erik Brynjolfsson & Andrew McAfee, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies (New York: W.W. Norton & Company, 2014).
  7. Carl Benedikt Frey & Michael A. Osborne, "The Future of Employment: How Susceptible Are Jobs to Computerisation?" Technological Forecasting and Social Change, vol. 114 (2017), pp. 254–280.
  8. David H. Autor, "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, vol. 29, no. 3 (Summer 2015), pp. 3–30; Michael R. Frank et al., "Toward Understanding the Impact of Artificial Intelligence on Labor," Proceedings of the National Academy of Sciences, vol. 116, no. 14 (2019), pp. 6531–6538.
  9. Line Pettersen, "Why Artificial Intelligence Will Not Outsmart Complex Knowledge Work," Work, Employment and Society, vol. 33, no. 6 (2019), pp. 1058–1067; Sebastian Raisch & Simon Krakowski, "Artificial Intelligence and Management: The Automation-Augmentation Paradox," Academy of Management Review, vol. 46, no. 1 (2021), pp. 192–210.
  10. Peter Drucker, "The Age of Social Transformation," The Atlantic Monthly, vol. 274, no. 5 (November 1994).
  11. Pasi Pyöriä, "The Concept of Knowledge Work Revisited," Journal of Knowledge Management, vol. 9, no. 3 (2005), pp. 116–127.
  12. Kimberly H. Dekas et al., "Organizational Citizenship Behavior, Version 2.0: A Review and Qualitative Investigation of OCBs for Knowledge Workers at Google and Beyond," Academy of Management Perspectives, vol. 27, no. 3 (2013), pp. 219–237.
  13. Craig Roth, "2019: When We Exceeded 1 Billion Knowledge Workers," Gartner (2019).
  14. Dana Minbaeva, "Disrupted HR?" Human Resource Management Review, vol. 31, no. 4 (2020), pp. 100820.
  15. Samer Faraj, Salima Pachidi & Kristina Sayegh, "Working and Organizing in the Age of the Learning Algorithm," Information and Organization, vol. 28, no. 1 (2018), pp. 62–70.
  16. Tom Meltzer, "Robot Doctors, Online Lawyers and Automated Architects: The Future of the Professions," The Guardian, 15/6/2014, accessed on 20/4/2025, at: https://acr.ps/1L9zR4H; Richard E. Susskind & Daniel Susskind, The Future of the Professions: How Technology Will Transform the Work of Human Experts (Oxford: Oxford University Press, 2022).
  17. Adrianna Kezar & Elizabeth Holcombe, "The Professoriate Reconsidered," American Association of University Professors, 2015, accessed on 20/4/2025, at: https://acr.ps/1L9zQsg
  18. Renana Peres et al., "On ChatGPT and Beyond: How Generative Artificial Intelligence May Affect Research, Teaching, and Practice," International Journal of Research in Marketing, vol. 40, no. 2 (2023), pp. 269–275.
  19. Mark I. Rapert, David L. Kurtz & Steve Smith, "Beyond the Core Triad: Just What Do Marketing Academics Do Outside of Teaching, Research, and Service?" Journal of Marketing Education, vol. 24, no. 2 (2002), pp. 161–167.
  20. Jeff Schwartz et al., "What Is the Future of Work? Redefining Work, Workforces, and Workplaces," Deloitte Insights, 2019, pp. 1–12.
  21. Paul A. Schulte et al., "Potential Scenarios and Hazards in the Work of the Future: A Systematic Review of the Peer Reviewed and Gray Literatures," Annals of Work Exposures and Health, vol. 64, no. 8 (2020), pp. 786–816.
  22. Boyd & Huettinger, pp. 104–115.
  23. Adam Bohr & Kaveh Memarzadeh, "Chapter 2: The Rise of Artificial Intelligence in Healthcare Applications," in: Adam Bohr & Kaveh Memarzadeh (eds.), Artificial Intelligence in Healthcare (Cambridge, MA: Academic Press, 2020), pp. 25–60.
  24. Stuart & Norvig.
  25. Stefan Strohmeier, "Artificial Intelligence in Human Resources—An Introduction," in: Stefan Strohmeier (ed.), Handbook of Research on Artificial Intelligence in Human Resource Management, (Cheltenham: Edward Elgar Publishing, 2022), pp. 1–22.
  26. IBM, "Understanding the Different Types of Artificial Intelligence," IBM Blogs, 2023, accessed on 20/4/2025, at: https://acr.ps/1L9zRbz
  27. يشير هذا الاختصار إلى عبارة (AI Machine Reactive)، وترجمتها كما ورد أعلااه هي: "الذكاء الاصطناعي القائم على الآلات التفاعلية". (المترجم)
  28. ديب بلو (Blue Deep) هو نظام خبير في لعب الشطرنج، يعمل على كمبيوتر (IBM) العملااق والمصمم لهذا الغرض. كان أول جهاز كمبيوتر يفوز بمباراة ضد بطل العالم في الشطرنج بناءً على ضوابط الوقت العادية. بدأ تطويره في عام 1985 في جامعة كارنيغي ميلون تحت اسم ChipTest(). ثم انتقلت مسألة هذا التطوير إلى "آي بي إم"، وأُعيد تسميته عام 1989 فصار "ديب بلو". يعتبر فوز هذا البرنامج في المباريات علاامة فارقة في تاريخ الذكاء الاصطناعي، وكان موضوع العديد من الكتب والأفلاام. للمزيد، ينظر: https://acr.ps/1L9zQuq (المترجم)
  29. تُبنى فكرة محرك توصيات نتفليكس (Engine Recommendations Netflix) على مراقبة الأشياء التي شاهدها المستخدم، وتحليلها، وبعد ذلك تقترح توصيات للمشاهدة بناءً على ذلك. بدأت نتفليكس بتطبيق هذا الأمر عام 2000، ثمّ جرت عملية تطوير لهذا المحرك. للمزيد، ينظر: Mahendra Kadam, "Netflix's Recommendation Engine: An Artificial Brain Built Using Amazon Tools," LinkedIn, المترجم 19/3/2023, accessed on 20/4/2025, at: https://acr.ps/1L9zRlk ()
  30. يشير هذا الاختصار إلى عبارة (AI Memory Limited)، وترجمتها كما ورد أعلااه هي: "الذكاء الاصطناعي المحدود الذاكرة". (المترجم)
  31. Sadaf Anwar et al., "A Systematic Review of Studies on Educational Robotics," Journal of Pre-College Engineering Education Research (J-PEER), vol. 9, no. 2 (2019).
  32. Ana Barros, Anshuman Prasad & Martyna Sliwa, "Generative Artificial Intelligence and Academia: Implication for Research, Teaching and Service," Management Learning, vol. 54, no. 5 (2023), pp. 597–604; Matthew Grimes et al., "From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence," Academy of Management Journal, vol. 66, no. 6 (2023), pp. 1617–1624.
  33. Kristina Einola & Violetta Khoreva, "Best Friend or Broken Tool? Exploring the Co-Existence of Humans and Artificial Intelligence in the Workplace Ecosystem," Human Resource Management, vol. 62, no. 1 (2022).
  34. Georg von Krogh, "Artificial Intelligence in Organizations: New Opportunities for Phenomenon-Based Theorizing," Academy of Management Discoveries, vol. 66, no. 6 (2018), pp. 1617–1624.
  35. Leslie Willcocks, "Robo-Apocalypse Cancelled? Reframing the Automation and Future of Work Debate," Journal of Information Technology, vol. 35, no. 4 (2020), pp. 286–302.
  36. Isabelle Spieler et al., "Help or Hindrance? Day-Level Relationships Between Flextime Use, Work–Nonwork Boundaries, and Affective Well-Being," Journal of Applied Psychology, vol. 102, no. 1 (2017), pp. 67–80.
  37. Frank Blackler, "Knowledge, Knowledge Work and Organizations: An Overview and Interpretation," Organization Studies, vol. 16, no. 6 (1995), pp. 1021–1046.
  38. Brian D. Janz, Jason A. Colquitt & Raymond A. Noe, "Knowledge Worker Team Effectiveness: The Role of Autonomy, Interdependence, Team Development, and Contextual Support Variables," Personnel Psychology, vol. 50, no. 4 (1997), pp. 877–904.
  39. Sue Newell et al., Managing Knowledge Work (Basingstoke: Palgrave Macmillan, 2002).
  40. Ibid.; E. Kevin Kelloway & Julian Barling, "Knowledge Work as Organizational Behavior," International Journal of Management Reviews, vol. 2, no. 3 (2000), pp. 287–304
  41. Michael Harris & Geoffrey W. Vining, "The IE's Future Role in Improving Knowledge," Industrial Engineering, vol. 19, no. 7 (1987), pp. 28–32.
  42. Susskind & Susskind.
  43. Georg von Richthofen, Samwel Ogolla & Hendrik Send, "Adopting AI in the Context of Knowledge Work: Empirical Insights from German Organizations," Information, vol. 13, no. 4 (2022), p. 199.
  44. Allan Bird, "Careers as Repositories of Knowledge: A New Perspective on Boundaryless Careers," Journal of Organizational Behavior, vol. 15, no. 4 (1994), pp. 325–344; Ikujiro Nonaka, "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, vol. 5, no. 1 (1994), pp. 14–37.
  45. Rapert, Kurtz & Smith, pp. 161–167.
  46. Bruce Macfarlane, "Defining and Rewarding Academic Citizenship: The Implications for University Promotions Policy," Journal of Higher Education Policy and Management, vol. 29, no. 3 (2007), pp. 261–273; Michael I. Rapert, David L. Kurtz & Susan Smith, "Beyond the Core Triad: Just What Do Marketing Academics Do Outside of Teaching, Research, and Service?" Journal of Marketing Education, vol. 24, no. 2 (2002), pp. 161–167.
  47. Macfarlane. pp. 261–273; Rapert, Kurtz & Smith, pp. 161–167. أ. البحث: الماهيّة/ "ماذا..؟"
  48. Manas Kulkarni et al., "The Future of Research in an Artificial Intelligence-Driven World," Journal of Management Inquiry, vol. 33, no. 3 (2024), pp. 207–229; Gerit Wagner, Roman Lukyanenko & Guy Pare, "Artificial Intelligence and the Conduct of Literature Reviews," Journal of Information Technology, vol. 37, no. 2 (2022), pp.
  49. Sharon Parker & Gudela Grote, "Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World," Applied Psychology (2020), pp. 1–45; Aizhan Tursunbayeva & Maarten Renkema, "Artificial Intelligence in Health-Care: Implications for the Job Design of Healthcare Professionals," Asia Pacific Journal of Human Resources (2022).
  50. BMJ, "Authorship & Contributorship," BMJ (2024), accessed on 20/4/2025, at: https://acr.ps/1L9zRlw
  51. Yuxin Xu et al., "Artificial Intelligence: A Powerful Paradigm for Scientific Research," The Innovation, vol. 2, no. 4 (2021).
  52. Wagner, Lukyanenko & Pare, pp. 209–226.
  53. Markus Krenn et al., "On Scientific Understanding with Artificial Intelligence," Nature Reviews Physics, vol. 4, no. 12 (2022), pp. 761–769, accessed on 22/4/2025, at: https://acr.ps/1L9zRvZ
  54. Prithwiraj Choudhury, Ryan T. Allen & Michael G. Endres, "Machine Learning for Pattern Discovery in Management Research," Strategic Management Journal, vol. 42, no. 1 (2021), pp. 30–57, accessed on 22/4/2025, at: https://acr.ps/1L9zS5L
  55. Jeffrey S. Harrison et al., "Using Supervised Machine Learning to Scale Human-Coded Data: A Method and Dataset in the Board Leadership Context," Strategic Management Journal (2022), accessed on 22/4/2025, at: https://acr.ps/1L9zRBE
  56. Shahrzad Sajjadiani et al., "Using Machine Learning to Translate Applicant Work History into Predictors of Performance and Turnover," The Journal of Applied Psychology, vol. 104, no. 10 (2019), pp. 1207–1225, accessed on 22/4/2025, at: https://acr.ps/1L9zRzq
  57. Anton Korinek, "Generative AI for Economic Research: Use Cases and Implications for Economists," Journal of Economic Literature 61, no. 4 (2023), pp. 1281–1317; Wagner, Lukyanenko & Pare, pp. 209–226.
  58. Mike Thelwall & Preeti Sud, "Scopus 1900–2020: Growth in Articles, Abstracts, Countries, Fields, and Journals," Quantitative Science Studies, vol. 3, no. 1 (2022), pp. 37–50, accessed on 22/4/2025, at: https://acr.ps/1L9zRzc
  59. الحروف الثلااثة (GPT) هي اختصار لجملة (Transformers Pretrained Generative)، وهي بالعربية "المحّولّات التوليدية المدربة مسبقًا". وهي تشير إلى طريقة عمل الذكاء الاصطناعي في توفير الإجابات عن الأسئلة اعتمادًا على التدريب المسبق على كٍّمٍ هائلٍ من البيانات. (المترجم)
  60. Chris Stokel-Walker, "ChatGPT Listed as Author on Research Papers: Many Scientists Disapprove," Nature (2023). ب. البحث (المكان)
  61. Harvard Library, "The Research Lifecycle," Harvard Library, 2023, accessed on 22/4/2025, at: https://acr.ps/1L9zR7Y.
  62. Matthias Petermann et al., "Looking Before We Leap: Expanding Ethical Review Processes for AI and Data Science Research," Ada levelace Institute, 2022, accessed on 22/4/2025, at: https://acr.ps/1L9zQLH
  63. John Steinhauer, "Does History Have a Future?" in: John Steinhauer (ed.), History Disrupted: How Social Media and the World Wide Web Have Changed the Past (United State: Springer International Publishing, 2022), pp. 107–117, accessed on 22/4/2025, at: https://acr.ps/1L9zRNP
  64. ميتافيرس (Metaverse): كلمة تتكون من شّقيّن: الأول Meta"" (بمعنى ما وراء، أو الأكثر وصفًا)، والثاني هو Verse"" (مصوغ من Universe" " (بمعنى ما وراء العالم). وقد كان أول استخدام لهذا المصطلح في رواية الخيال العلمي تحطم الثلج (Crash Snow) عام 1992 التي كتبها نيل ستيفنسون؛ إذ يتفاعل البشر على أنهم شخصيات خيالية (Avatar) مع بعضهم، ومع برمجيات، في فضاء افتراضي ثلااثي الأبعاد مشابه للعالم الحقيقي. و"الميتافيرس"، بوجه عامّ، هو مكان افتراضي نعمل فيه ونتعلم ونرفه عن أنفسنا ونكسب الأموال وننفقها، ويتفق معظم خبراء التكنولوجيا على أنه سيغير حياتنا جذرًّيًا. فالميتافيرس، كما يقول ساتيا ناديلاا، الرئيس التنفيذي لشركة مايكروسوفت (Microsoft) "لن يغير الطريقة التي نرى بها العالم فحسب، بل كيفية مشاركتنا فيه أيضًا، من المصنع إلى غرفة الاجتماعات". (المترجم). للمزيد، ينظر: عبد القادر الكاملي، "عالم الميتافيرس.. ماذا يحمل لنا المستقبل؟"، الجزيرة نت، 2022/8/1، شوهد في 2025/4/22، في: https://bit.ly/3FQi3Xe
  65. Vijay Pereira et al., "A Systematic Literature Review on the Impact of Artificial Intelligence on Workplace Outcomes: A Multi-Process Perspective," Human Resource Management Review, vol. 33, no. 1 (2023), accessed on 22/4/2025, at: https://acr.ps/1L9zSbt
  66. Brian Chodor, "Council Post: Meetings in the Metaverse: Is This the Future of Events and Conferences?" Forbes, 13/1/2022, accessed on 22/4/2025, at: https://acr.ps/1L9zQU3 ج. البحث (الزمان)
  67. Justin Clark et al., "A Full Systematic Review Was Completed in 2 Weeks Using Automation Tools: A Case Study," Journal of Clinical Epidemiology, vol. 121 (2020), pp. 81–90, accessed on 22/4/2025, at: https://acr.ps/1L9zS4X; Zhiqiang Deng et al., "Validation of a Semiautomated Natural Language Processing- Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance," JCO Clinical Cancer Informatics, vol. 3 (2019), pp. 1–9, accessed on 22/4/2025, at: https://acr.ps/1L9zSjO; Stan Matwin et al., "A New Algorithm for Reducing the Workload of Experts in Performing Systematic Reviews," Journal of the American Medical Informatics Association: JAMIA 17, vol, no. 4 (2010), pp. 446–453, accessed on 22/4/2025, at: https://acr.ps/1L9zSpR
  68. Steinhauer, "Does History Have a Future," pp. 107–117.
  69. Jiezhong Ding et al., "LongNet: Scaling Transformers to 1,000,000,000 Tokens," arXiv, Preprint arXiv:2307.02486,
  70. Aizhan Tursunbayeva et al., "The Ethics of People Analytics: Risks, Opportunities and Recommendations," Personnel Review, vol. 51, no. 3 (2022), pp. 900–921, accessed on 22/4/2025, at: https://acr.ps/1L9zSmG د. اتجاهات البحث المستقبلية المتعلقة بالأنشطة البحثية
  71. Choudhury, Allen & Endres, pp. 30–57.
  72. Ryan S. Baker & Andrew Hawn, "Algorithmic Bias in Education," International Journal of Artificial Intelligence in Education (2022), pp. 1–41.
  73. Aizhan Tursunbayeva & Luca Moschera, "Ethics in People Analytics Research: A Multi-Disciplinary Perspective," in: Vicenc Fernandez & Eva Gallardo Gallardo (eds.), A Research Agenda for HR Analytics, Eldar Research Agendas series. (forthcoming)
  74. Amit Avrahami et al., "A Human Resources Analytics and Machine-Learning Examination of Turnover: Implications for Theory and Practice," International Journal of Manpower, vol. 43, no. 6 (2022), pp. 1405–1424.
  75. Luke Munn, "The Uselessness of AI Ethics," AI and Ethics, vol. 3, no. 3 (2023), pp. 869–877.
  76. Hannah Deakin & Kelly Wakefield, "Skype Interviewing: Reflections of Two PhD Researchers," Qualitative Research, vol. 14, no. 5 (2014), pp. 603–616.
  77. Adolf Sife, Edda Lwoga & Carol Sanga, "New Technologies for Teaching and Learning: Challenges for Higher Learning Institutions in Developing Countries," International Journal of Education and Development Using ICT, vol. 3, no. 2 (2007), pp. 57–67.
  78. Gwo-Jen Hwang et al., "Vision, Challenges, Roles and Research Issues of Artificial Intelligence in Education," Computers and Education: Artificial Intelligence, vol. 1 (2020), Article 100001, accessed on 22/4/2025, at: https://acr.ps/1L9zRUC
  79. Shane Nemorin et al., "AI Hyped? A Horizon Scan of Discourse on Artificial Intelligence in Education (AIED) and Development," Learning, Media and Technology, vol. 48, no. 1 (2023), pp. 38–51.
  80. Zawacki-Richter et al. أ. التدريس (الماهيّة)
  81. Rose Luckin et al., Intelligence Unleashed: An Argument for AI in Education (2016); Zawacki-Richter et al.
  82. Zawacki-Richter et al.
  83. Mohammad Farrokhnia et al., "A SWOT Analysis of ChatGPT: Implications for Educational Practice and Research," Innovations in Education and Teaching International, vol. 61, no. 3 (2024), pp. 460–474.
  84. Peres et al., pp. 269–275.
  85. Zawacki-Richter et al.
  86. Wayne Holmes, Maya Bialik & Charles Fadel, Artificial Intelligence in Education (USA: Center for Curriculum Redesign, 2019).
  87. John Self, "The Defining Characteristics of Intelligent Tutoring Systems Research: ITSs Care, Precisely," International Journal of Artificial Intelligence in Education, vol. 10, no. 3–4 (1999), pp. 350–364.
  88. Tom Baker, Laura Smith & Nida Anissa, Educ-AI-tion Rebooted: Exploring the Future of Artificial Intelligence in Schools and Colleges, Nesta (London: 2019), pp. 1–56.
  89. Andreea Aldea, Stefan Haller & Marco Luttikhuis, "Towards Grading Automation of Open Questions Using Machine Learning," 48 th SEFI Annual Conference on Engineering Education, SEFI, 2020; Steven P. Balfour, "Assessing Writing in MOOCs: Automated Essay Scoring and Calibrated Peer Review™," Research & Practice in Assessment, vol. 8 (2013), pp. 40–48.
  90. Steinhauer, "Does History Have a Future?" pp. 107–117.
  91. Dragan Gasevic, Shane Dawson & George Siemens, "Let's Not Forget: Learning Analytics Are About Learning," TechTrends, vol. 59 (2015), pp. 64–71.
  92. ينظر: Donghui Feng et al., "An Intelligent Discussion-Bot for Answering Student Queries in Threaded Discussions," in: Proceedings of the International Conference on Intelligent User Interfaces (2006), pp. 171–177, accessed on 22/4/2025, at: https://acr.ps/1L9zRnW; Ocelot Team, "AI Chatbots Radically Improve How Students Get Answers," OCELOT, 18/10/2018, accessed on 22/4/2025, at: https://acr.ps/1L9zQKD; "Q&A Bot That Answers Student Queries in Microsoft Teams," Deakin University, 14/1/2021, accessed on 22/4/2025, at: https://acr.ps/1L9zQP2
  93. Hwang et al. ب. التدريس (المكان)
  94. Ethan R. Mollick & Lilach Mollick, "New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments," SSRN, 2022, accessed on 22/4/2025, at: https://acr.ps/1L9zREY
  95. Sabina Milano, James A. McGrane & Sabina Leonelli, "Large Language Models Challenge the Future of Higher Education," Nature Machine Intelligence, vol. 5, no. 4 (2023), pp. 333–334.
  96. Chris Stokel-Walker, "AI Bot ChatGPT Writes Smart Essays—Should Academics Worry?" Nature (2022).
  97. Milano, McGrane & Leonelli, pp. 333–334.
  98. (Learning Space Third): منصة تعليمية تقدّم دروسًا خصوصية في الرياضيات عبر الإنترنت للطلااب في المراحل الابتدائية والإعدادية، وهي توفر تعليمًا فردًّيًا مخصصًا وفقًا لمستوى كل طالب بمساعدة مدرسين مؤهلين، مع التركيز على دعم الطلااب الذين يواجهون صعوبات في استيعاب المنهج الدراسي المتوافق مع المعايير التعليمية مثل المنهج البريطاني أو الأميركي، وهي أيضًا تتابع تقدّم الطالب وتُعدّل الدروس بناءً على أدائه، مما يجعلها خيارًا مثاليّا بالنسبة إلى المدارس التي تبحث عن برامج دعم تعليمي ذات فاعلية أو الأهالي الراغبين في تحسين مستوى أبنائهم في الرياضيات (المترجم). للمزيد، ينظر: "Closing the Maths Attainment Gap with One-to-One Teaching," Third Space Learning, accessed on 22/4/2025, at: https://acr.ps/1L9zRPA
  99. Baker, Smith & Anissa. ج. التدريس (الزمان)
  100. (Room Escape Analytics People): غرفة الهروب التحليلية للموارد البشرية، وهي تجربة تعليمية تفاعلية تُحاكي ألعاب الهروب، مصممة لمساعدة متخصصي الموارد البشرية والقيادات على تطوير مهاراتهم في تحليل البيانات واتخاذ القرارات القائمة على الأدلة. وخلاال اللعبة، يحل المشاركون ألغازًا تعتمد على سيناريوهات واقعية مثل تقليل معدل دوران الموظفين أو تحسين التنوع، باستخدام مؤشرات أداء الموارد البشرية والتحليلاات (المترجم). للمزيد، ينظر: The Chartered Institute of Personnel and Development (CIPD), accessed on 22/4/2025, at: https://acr.ps/1L9zRMC
  101. Yogesh K. Dwivedi et al., "'So What If ChatGPT Wrote It?' Multidisciplinary Perspectives on Opportunities, Challenges and Implications of Generative Conversational AI for Research, Practice and Policy," International Journal of Information Management, vol. 71 (2023), Article 102642.
  102. Galina Deeva et al., "A Review of Automated Feedback Systems for Learners: Classification Framework, Challenges and Opportunities," Computers & Education, vol. 162 (2021), Article 104094, accessed on 22/4/2025, at: https://acr.ps/1L9zRxO
  103. Anwaret al., p. 2.
  104. Luckin et al. د. اتجاهات البحث المستقبلية المتعلقة بالأنشطة التدريسية
  105. Feng Ouyang & Pei Jiao, "Artificial Intelligence in Education: The Three Paradigms," Computers and Education: Artificial Intelligence, vol. 2 (2021), Article 100020, accessed on 22/4/2025, at: https://acr.ps/1L9zRAS; Zawacki- Richter et al.
  106. المقصود بكلمة خارجية في هذا السياق: من خارج المؤسسة، أطراف ثالثة (Outsourcing)؛ مثل الشركات والمؤسسات العاملة في تصميم تلك الأدوات. (المترجم)
  107. Qian Liu, Susan Geertshuis & Robyn Grainger, "Understanding Academics' Adoption of Learning Technologies: A Systematic Review," Computers & Education, vol. 151 (2020), Article 103857, accessed on 22/4/2025, at: https://acr.ps/1L9zRwF أ. الخدمات - الماهيّة
  108. Baker & Hawn, pp. 1–41; Rod D. Roscoe et al., "Inclusion and Equity as a Paradigm Shift for Artificial Intelligence in Education," in: Fan Ouyang et al. (eds.), Artificial Intelligence in STEM Education (London/ New York: CRC Press, 2022), pp. 359–374.
  109. Macfarlane, pp. 261–273.
  110. Mark I. Rapert, David L. Kurtz & Steve Smith, "Beyond the Core Triad: Just What Do Marketing Academics Do Outside of Teaching, Research, and Service?" Journal of Marketing Education, vol. 24, no. 2 (2002), pp. 161–167, accessed on 22/4/2025, at: https://acr.ps/1L9zSok
  111. Mark Speller et al., "UK Third Sector Grant Making: A Summary of Research by the University of Bath," University of Bath, 2019.
  112. Andrea Checco et al., "AI-Assisted Peer Review," Humanities and Social Sciences Communications, vol. 8, no. 1 (2021), pp. 1–11, accessed on 22/4/2025, at: https://acr.ps/1L9zRKW
  113. Dwivedi et al. ب. الخدمات - المكان ج. الخدمات - الزمان
  114. (Science Citizen) هو توجه يمكن ترجمته ب "علم الجميع"، أو "علم المواطن"، أو "علم الشعب"، بحيث يشارك الجمهور طواعية في العملية العلمية، ويعالج مشكلاات العالم الحقيقي بطرائق قد تشمل صياغة أسئلة بحثية، وإجراء التجارب العلمية، وجمع البيانات وتحليلها، وتفسير النتائج، والتوصل إلى اكتشافات جديدة، وتطوير التقنيات والتطبيقات، وحل المشكلاات المعقدة (المترجم). للمزيد، ينظر: CitizenScience.gov, accessed on 22/4/2025, at: https://acr.ps/1L9zQuK
  115. Edward Herman, "Scholarly Reputation," FEMS Microbiology Letters, vol. 365, no. 18 (2018), accessed on 22/4/2025, at: https://acr.ps/1L9zS5r د. اتجاهات البحث المستقبلية المتعلقة بالأنشطة الخدمية الأكاديمية
  116. Daniel L. Rubinfeld & Joe S. Cecil, "Scientists as Experts Serving the Court," Daedalus, vol. 147, no. 4 (2018), pp. 152–163, accessed on 22/4/2025, at: https://acr.ps/1L9zS1p
  117. Parker & Grote, pp. 1–45.
  118. تتمحور فكرة دورة الضجيج (Cycle Hype) حول القدرة على تمييز الضجيج مّما هو مُمكن التطبيق تجارًّيًا حينما تقدّم التقنيات الجديدة وعودًا جريئة، وحينما تؤتي هذه المطالبات ثمارها، إنْ وجدت. وتوفر دورة الضجيج تمثيالًا بيانًّيًا لنضج التقنيات والتطبيقات واعتمادها، وكيف يمكن أن تكون ذات صلة بحل مشكلاات الأعمال الحقيقية واستغلاال الفرص الجديدة. وتتيح هذه المنهجية النظر إلى كيفية تطوّر التكنولوجيا أو التطبيق بمرور الوقت (المترجم). للمزيد، ينظر: "Gartner Hype Cycle," Gartner, accessed on 22/4/2025, at: https://acr.ps/1L9zS8F
  119. Orkun Dedehayir & Martin Steinert, "The Hype Cycle Model: A Review and Future Directions," Technological Forecasting and Social Change, vol. 108 (2016), pp. 28–41.
  120. Michael Haenlein & Andreas Kaplan, "A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence," California Management Review, vol. 61, no. 4 (2019), pp. 5–14. تشهد تكنولوجيا الذكاء الاصطناعي تقدمًا كبيرًا، لتصبح أداة قوية تعزّز العمل الأكاديمي وإنتاج المعرفة. وتمكّن أدوات البحث المدعومة بالذكاء الاصطناعي الأكاديميين من تحليل مجموعات ضخمة من البيانات بسرعة ودقة غير مسبوقتين، مما يؤدي إلى اكتشافات علمية رائدة. وتسهم المساعِدات التدريسية القائمة على هذا النوع من الذكاء في توفير تجارب تعليمية مخصصة تتكيف مع احتياجات كل طالب؛ ما يتيح نهجًا تربوًّيًا أكثر فاعلية. ويتبنى الأكاديميون محو الأمية في مجال هذا الذكاء، ويُدمجون أدواته بسلااسة في سير عملهم اليومي، ويصبح قبول الذكاء الاصطناعي واسع الانتشار؛ إذ يُنظر إليه بوصفه شريكًا متعاونًا، وليس بوصفه منافسًا. وتتطور الأطر التنظيمية من أجل دَعْم الاستخدام الأخلااقي للذكاء الاصطناعي في المجال الأكاديمي، مع ضمان خصوصية البيانات وتعزيز الشفافية. وتشجع هذه القوانين على الابتكار، وتوفر الحماية من إساءة الاستخدام، مما يخلق بيئة إيجابية يسهم من خلاالها الذكاء الاصطناعي في رفع جودة الجهود الأكاديمية وتأثيرها.
  121. Jackie Fenn & Mark Raskino, Mastering the Hype Cycle: How to Choose the Right Innovation at the Right
  122. Gartner Places Generative AI on the Peak of Inflated Expectations on the 2023 Hype Cycle for Emerging تتطور تكنولوجيا الذكاء الاصطناعي بسرعة، لكنها تتجاوز وتيرة تطوير اللوائح التنظيمية والإرشادات الأخلااقية المناسبة، وتصبح أدوات البحث المعتمدة على الذكاء الاصطناعي شائعة، غير أن نقص الفهم والقبول بين الأكاديميين يؤدي إلى سوء استخدامها والاعتماد المفرط عليها، وتتدهور جودة البحث العلمي نتيجةً لعدم تقييم البيانات والنتائج التي ينتجها هذا النوع من الذكاء بطريقة نقدية، ويتأثر التدريس سلبًّيًا؛ إذ تحلّ المساعِدات التدريسية المعتمدة على هذا الذكاء محلّ المعلمين البشريين، مما يؤدي إلى تجربة تعليمية تفتقر إلى الطابع الإنساني، وتعجز القوانين والتنظيمات عن مواكبة التقدم في الذكاء الاصطناعي؛ ما يؤدي إلى حماية غير كافية لخصوصية البيانات والنزاهة الأكاديمية، وينقسم المجتمع الأكاديمي؛ إذ يبدي جزءٌ كبير منه مقاومةً لدمج الذكاء الاصطناعي بسبب المخاوف الأخلااقية وخشيةً من فقدان الوظائف، وهو أمرٌ يعرقل التقدم والتعاون في مجاَلي إنتاج المعرفة ونشرها. Time (New York: Harvard Business Press, 2008). Technologies," Gartner, 2023, accessed on 22/4/2025, at: https://acr.ps/1L9zR3k
  123. Nemorin et al.,p. 38–51.
  124. وكذلك الشأن أيضًا بالنسبة إلى باركر وغروته في دراستهما، ولم نرّك ز على نتائج استخدام الأكاديميين للذكاء الاصطناعي؛ إذ كان اهتمامنا منصًّبًا على التغيرات التي طرأت على أعمالهم.
  125. Arjan Evers & Beatrice I. J. M. van der Heijden, "Competence and Professional Expertise," in: Martin Mulder (ed.), Competence-Based Vocational and Professional Education: Bridging the Worlds of Work and Education, Technical and Vocational Education and Training: Issues, Concerns and Prospects (TVET), vol. 23 (New York: Springer, 2016), pp. 83–101, accessed on 22/4/2025, at: https://acr.ps/1L9zRCn
  126. Mukta Kulkarni et al., "The Future of Research in an Artificial Intelligence-Driven World," Journal of Management Inquiry, vol. 33, no. 3 (2024), pp. 207–229.
  127. Faraj, Pachidi & Sayegh.
  128. Debby R. E. Cotton, Paul A. Cotton & James R. Shipway, "Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT," Innovations in Education and Teaching International (2023), pp. 1–12, accessed on 22/4/2025, at: https://acr.ps/1L9zSfa
  129. Brian Christian, The Alignment Problem: Machine Learning and Human Values, 1 st ed. (New York: W.W. Norton & Company, 2020).
  130. Wayne Holmes, "The Unintended Consequences of Artificial Intelligence and Education," Education International (2023), accessed on 22/4/2025, at: https://acr.ps/1L9zRWo
  131. Henk W. de Regt, Sabina Leonelli & Kai Eigner, "Focusing on Scientific Understanding," in: Henk W. de Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives (Pittsburgh: University of Pittsburgh Press, 2009), pp. 1–17.
  132. Alexander Ardichvili, "The Impact of Artificial Intelligence on Expertise Development: Implications for HRD," Advances in Developing Human Resources, vol. 24, no. 2 (2022), pp. 78–98, accessed on 22/4/2025, at: https://acr.ps/1L9zRN7; Faraj, Pachidi & Sayegh, pp. 62–70.
  133. Ayelet Sapir, Israel Drori & Shmuel Ellis, "The Practices of Knowledge Creation: Collaboration Between Peripheral and Core Occupational Communities," European Management Review, vol. 13, no. 1 (2016), pp. 19– 36, accessed on 22/4/2025, at: https://acr.ps/1L9zS0u
  134. المقصود "أمر" بمعنى ط (Prompt)، وهو يُكتب في نوافذ الدردشة الخاصة بإحدى أدوات الذكاء الاصطناعي للحصول على لَب إجابة. (المترجم)
  135. Steve G. Sutton, Vicky Arnold & Matthew Holt, "How Much Automation Is too Much? Keeping the Human Relevant in Knowledge Work," Journal of Emerging Technologies in Accounting, vol. 15, no. 2 (2018), pp. 15–25.
  136. M. M. Peeters et al., "Hybrid Collective Intelligence in a Human–AI Society," AI & Society, vol. 36, no. 1 (2021), pp. 217–238.
  137. Susskind & Susskind.
  138. Faraj, Pachidi & Sayegh, pp. 62–70; Liu, Geertshuis & Grainger.
  139. D. E. Bailey & Stephen R. Barley, "Teaching-Learning Ecologies: Mapping the Environment to Structure Through Action," Organization Science, vol. 22, no. 1 (2011), pp. 262–285.
  140. Ziauddin Sardar, "The Namesake: Futures; Futures Studies; Futurology; Futuristic; Foresight—What's in a Name?" Futures, vol. 42, no. 3 (2010), pp. 177–184.
  141. M. M. Peeters et al., "Hybrid Collective Intelligence in a Human–AI Society," AI & Society, vol. 36, no. 1 (2021), pp. 217–238.
  142. Boyd & Huettinger, pp. 104–115.
  143. Howard J. Klein & Denise Potosky, "Making a Conceptual Contribution at Human Resource Management Review," Human Resource Management Review, vol. 29, no. 3 (2019), pp. 299–304.
  144. Zawacki-Richter et al.
  145. Siobhán M. Leahy, Carmel Holland & Fiona Ward, "The Digital Frontier: Envisioning Future Technologies' Impact on the Classroom," Futures, vol. 113 (2019), Article 102422.
  146. Parker & Grote, pp. 1–45.
  147. Faraj, Pachidi & Sayegh, pp. 62–70.
  148. Carolyn Ellis, Tony E. Adams & Arthur P. Bochner, "Autoethnography: An Overview," Historical Social Research/ Historische Sozialforschung, vol. 36, no. 4 (138) (2011), pp. 273–290, accessed on 22/4/2025, at: https://acr.ps/1L9zRBm
  149. Russell & Norvig.
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  1. Lia Alexandra Baltador, Nancy Panţa, Mihaela Rotaru (2025) Mapping the Freelance Economy: A Cross-Platform Study of Workforce Characteristics, Challenges, and Emerging Trends. Studies in Business and Economics, 20(3), 54 https://doi.org/10.2478/sbe-2025-0044

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2024-07-01

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