Mobile learning and humanistic education: a science mapping approach

References

• [Record #1736 is using a reference type undefined in this output style.].
   Google Scholar
• Ahmed, S., & Parsons, D. (2013). Abductive science inquiry using mobile devices in the classroom. Computers & Education, 63, 62–72. https://doi.org/10.1016/j.compedu.2012.11.017
   Web of Science ®Google Scholar
• Aloni, N. (2013). Empowering dialogues in humanistic education. Educational Philosophy and Theory, 45(10), 1067–1081. https://doi.org/10.1111/j.1469-5812.2011.00789.x
   Web of Science ®Google Scholar
• Andrews, T. M., Leonard, M. J., Colgrove, C. A., & Kalinowski, S. T. (2011). Active learning not associated with student learning in a random sample of college biology courses. CBE—Life Sciences Education, 10(4), 394–405. https://doi.org/10.1187/cbe.11-07-0061
   PubMed Web of Science ®Google Scholar
• Appio, F. P., Cesaroni, F., & Di Minin, A. (2014). Visualizing the structure and bridges of the intellectual property management and strategy literature: A document co-citation analysis. Scientometrics, 101(1), 623–661. https://doi.org/10.1007/s11192-014-1329-0
   Web of Science ®Google Scholar
• Baker, H. K., Pandey, N., Kumar, S., & Haldar, A. (2020). A bibliometric analysis of board diversity: Current status, development, and future research directions. Journal of Business Research, 108, 232–246. https://doi.org/10.1016/j.jbusres.2019.11.025
   Web of Science ®Google Scholar
• Bebell, D., & Kay, R. (2010). One to one computing: A summary of the quantitative results from the berkshire wireless learning initiative. Journal of Technology, Learning, and Assessment, 9(2), n2.
   Google Scholar
• Berrett, D. (2012). How ‘flipping’the classroom can improve the traditional lecture. The Chronicle of Higher Education, 12(19), 1–3.
   Google Scholar
• Brown, T., Park, A., & Pitt, L. (2020). A 60-year bibliographic Review Of the journal of advertising research. Journal of Advertising Research, 60(4), 353–360. https://doi.org/10.2501/JAR-2020-028
   Web of Science ®Google Scholar
• Callon, M., Courtial, J.-P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. https://doi.org/10.1177/053901883022002003
   Web of Science ®Google Scholar
• Caputo, A., Marzi, G., Maley, J., & Silic, M. (2019). Ten years of conflict management research 2007-2017: An update on themes, concepts and relationships. International Journal of Conflict Management, 30(1), 87–110. https://doi.org/10.1108/IJCMA-06-2018-0078
   Web of Science ®Google Scholar
• Caputo, A., Pizzi, S., Pellegrini, M. M., & Dabić, M. (2021). Digitalization and business models: Where are we going? A science map of the field. Journal of Business Research, 123, 489–501. https://doi.org/10.1016/j.jbusres.2020.09.053
   Web of Science ®Google Scholar
• Chase, T. J., Julius, A., Chandan, J. S., Powell, E., Hall, C. S., Phillips, B. L., Burnett, R., Gill, D., & Fernando, B. (2018). An audit of clinical training exposure amongst junior doctors working in trauma & orthopaedic surgery in 101 hospitals in the United Kingdom. BMC Medical Education, 18(1), 1–8. https://doi.org/10.1186/s12909-017-1038-5
   PubMedGoogle Scholar
• Chen, C.-P., Shih, J.-L., & Ma, Y.-C. (2014). Using instructional pervasive game for school children's cultural learning. Educational Technology & Society, 17(2), 169–182.
   Web of Science ®Google Scholar
• Chen, I. J., & Chang, C.-C. (2011, 01/01/). Content presentation modes in mobile language listening tasks: English proficiency as a moderator. Computer Assisted Language Learning, 24(5), 451–470. http://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=EJ949344&site=ehost-live&authtype=ip,shib&user=s1523151 https://doi.org/10.1080/09588221.2011.577749
   Web of Science ®Google Scholar
• Chen, Y., Carger, C. L., & Smith, T. J. (2017). Mobile-assisted narrative writing practice for young English language learners from a funds of knowledge approach. Language Learning & Technology, 21(1), 28–41. 10125/44594
   Web of Science ®Google Scholar
• Combs, J. G., Ketchen, J., David, J., Crook, T. R., & Roth, P. L. (2011). Assessing cumulative evidence within ‘macro’ research: Why meta-analysis should be preferred over vote counting. Journal of Management Studies, 48(1), 178–197. https://doi.org/10.1111/j.1467-6486.2009.00899.x
   Web of Science ®Google Scholar
• Cross, S., Sharples, M., Healing, G., & Ellis, J. (2019). Distance learners’ use of handheld technologies. The International Review of Research in Open and Distributed Learning, 20(2). https://doi.org/10.19173/irrodl.v20i2.4040
   Web of Science ®Google Scholar
• Dabic, M., González-Loureiro, M., & Harvey, M. (2015). Evolving research on expatriates: What is ‘known’ after four decades (1970–2012). The International Journal of Human Resource Management, 26(3), 316–337. https://doi.org/10.1080/09585192.2013.845238
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
   Web of Science ®Google Scholar
• Eck, N. J. v., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American Society for Information Science and Technology, 60(8), 1635–1651. https://doi.org/10.1002/asi.21075
   Web of Science ®Google Scholar
• Fergnani, A. (2019). Mapping futures studies scholarship from 1968 to present: A bibliometric review of thematic clusters, research trends, and research gaps. Futures, 105, 104–123. https://doi.org/10.1016/j.futures.2018.09.007
   Web of Science ®Google Scholar
• Fernandez-Alles, M., & Ramos-Rodríguez, A. (2009). Intellectual structure of human resources management research: A bibliometric analysis of the journal human resource management, 1985-2005. Journal of the American Society for Information Science and Technology, 60(1), 161–175. https://doi.org/10.1002/asi.20947
   Web of Science ®Google Scholar
• Ferreira, F. A. (2018). Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses. Journal of Business Research, 85, 348–357. https://doi.org/10.1016/j.jbusres.2017.03.026
   Web of Science ®Google Scholar
• Glušac, D., Makitan, V., Karuović, D., Radosav, D., & Milanov, D. (2015). Adolescents' informal computer usage and their expectations of ICT in teaching – case study: Serbia. Computers & Education, 81, 133–142. https://doi.org/10.1016/j.compedu.2014.10.006
   Web of Science ®Google Scholar
• Huang, Y.-M., Lin, Y.-T., & Cheng, S.-C. (2010). Effectiveness of a mobile plant learning system in a science curriculum in Taiwanese elementary education. Computers & Education, 54(1), 47–58. https://doi.org/10.1016/j.compedu.2009.07.006
   Web of Science ®Google Scholar
• Hwang, G. J., & Chang, S. C. (2016). Effects of a peer competition-based mobile learning approach on students' affective domain exhibition in social studies courses. British Journal of Educational Technology, 47(6), 1217–1231. https://doi.org/10.1111/bjet.12303
   Web of Science ®Google Scholar
• Joo, Y. J., Lee, H. W., & Ham, Y. (2014). Integrating user interface and personal innovativeness into the TAM for mobile learning in cyber university. Journal of Computing in Higher Education, 26(2), 143–158. https://doi.org/10.1007/s12528-014-9081-2
   Web of Science ®Google Scholar
• Keller, J. M. (2008). First principles of motivation to learn and e3-learning. Distance Education, 29(2), 175–185. https://doi.org/10.1080/01587910802154970
   Web of Science ®Google Scholar
• Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14(1), 10–25. https://doi.org/10.1002/asi.5090140103
   Web of Science ®Google Scholar
• Könings, K. D., Seidel, T., Brand-Gruwel, S., & van Merriënboer, J. J. (2014). Differences between students’ and teachers’ perceptions of education: Profiles to describe congruence and friction. Instructional Science, 42(1), 11–30. https://doi.org/10.1007/s11251-013-9294-1
   Web of Science ®Google Scholar
• Korzybski, A. (1998). A map is not territory. Prolegomena to non-Aristotelian systems and general semantics, Editions de L’Éclat.
   Google Scholar
• Lai, C.-L., & Hwang, G.-J. (2015). An interactive peer-assessment criteria development approach to improving students’ art design performance using handheld devices. Computers & Education, 85, 149–159. https://doi.org/10.1016/j.compedu.2015.02.011
   Web of Science ®Google Scholar
• Laird, T. F. N., & Kuh, G. D. (2005). Student experiences with information technology and their relationship to other aspects of student engagement. Research in Higher Education, 46(2), 211–233. https://doi.org/10.1007/s11162-004-1600-y
   Web of Science ®Google Scholar
• López-Fernández, M. C., Serrano-Bedia, A. M., & Pérez-Pérez, M. (2016). Entrepreneurship and family firm research: A bibliometric analysis of an emerging field. Journal of Small Business Management, 54(2), 622–639. https://doi.org/10.1111/jsbm.12161
   Web of Science ®Google Scholar
• Lu, C., Chang, M., Huang, E., & Chen, C.-W. (2014). Context-aware mobile role playing game for learning. In R. Huang, Kinshuk, & N. S. Chen (Eds.), The New development of technology enhanced learning. Berlin, Heidelberg: Springer.
   Google Scholar
• Manesh, M. F., Pellegrini, M. M., Marzi, G., & Dabic, M. (2020). Knowledge management in the fourth industrial revolution: Mapping the literature and scoping future avenues. IEEE Transactions on Engineering Management, 68(1), 289–300. https://doi.org/10.1109/TEM.2019.2963489
   Web of Science ®Google Scholar
• Mauroux, L., Könings, K. D., Zufferey, J. D., & Gurtner, J.-L. (2014). Mobile and online learning journal: Effects on apprentices’ reflection in vocational education and training. Vocations and Learning, 7(2), 215–239. https://doi.org/10.1007/s12186-014-9113-0
   Web of Science ®Google Scholar
• Melé, D. (2003). The challenge of humanistic management [conference paper]. Journal of Business Ethics, 44(1), 77–88. https://doi.org/10.1023/A:1023298710412
   Web of Science ®Google Scholar
• Mendes, L. F., Pedro, G., Barbosa, C., & das Neves Santos, C. M. (2018). The utilisation of e-learning facilities in the educational delivery system of Nigeria: A study of M-university. International Journal of Educational Technology in Higher Education, 15(1), 34. https://doi.org/10.1186/s41239-018-0116-z
   Google Scholar
• Milman, N. B. (2012). The flipped classroom strategy: What is it and how can it best be used? Distance Learning, 9(3), 85.
   Google Scholar
• Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56–73. https://doi.org/10.1016/j.compedu.2017.02.005
   Web of Science ®Google Scholar
• Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441–453. https://doi.org/10.1177/016555150202800601
   Web of Science ®Google Scholar
• Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: Purpose, process, and structure. Journal of the Academy of Marketing Science, 46(1), 1–5.
   Web of Science ®Google Scholar
• Park, J., Parsons, D., & Ryu, H. (2010). To flow and not to freeze: Applying flow experience to mobile learning. IEEE Transactions on Learning Technologies, 3(1), 56–67. https://doi.org/10.1109/TLT.2010.1
   Web of Science ®Google Scholar
• PourAli, P., SeifNaraghi, M., & Naderi, E. (2017). Humanistic education and students’ educational motivation in Tehran primary schools. International Journal of Mental Health and Addiction, 15(2), 312–322. https://doi.org/10.1007/s11469-016-9703-1
   Web of Science ®Google Scholar
• Şad, S. N., & Göktaş, Ö. (2014). Preservice teachers’ perceptions about using mobile phones and laptops in education as mobile learning tools. British Journal of Educational Technology, 45(4), 606–618. https://doi.org/10.1111/bjet.12064
   Web of Science ®Google Scholar
• Sharples, M., Taylor, J., & Vavoula, G. (2010a). A theory of learning for the mobile age. In B. Bachmair (Ed.), Medienbildung in neuen kulturräumen (pp. 87–99). Springer.
   Google Scholar
• Sharples, M., Taylor, J., & Vavoula, G. (2010b). A theory of learning for the mobile age: Learning through conversation and exploration across contexts.
   Google Scholar
• Suarez-Guerrero, C., Lloret-Catala, C., & Mengual-Andres, S. (2016). Teachers’ perceptions of the digital transformation of the classroom through the use of tablets: A study in Spain. Comunicar. Media Education Research Journal, 24(2), 81–89.
   Google Scholar
• Sung, H.-Y., Hwang, G.-J., & Chang, Y.-C. (2016). Development of a mobile learning system based on a collaborative problem-posing strategy. Interactive Learning Environments, 24(3), 456–471. http://search.ebscohost.com/login.aspx?direct=true&db=eric&AN=EJ1099748&site=ehost-live&authtype=ip,shib&user=s1523151 https://doi.org/10.1080/10494820.2013.867889
   Web of Science ®Google Scholar
• Sung, H.-Y., Hwang, G.-J., Liu, S.-Y., & Chiu, I.-h. (2014). A prompt-based annotation approach to conducting mobile learning activities for architecture design courses. Computers & Education, 76, 80–90. https://doi.org/10.1016/j.compedu.2014.03.015
   Web of Science ®Google Scholar
• Thompson, C. J., Arnould, E., & Giesler, M. (2013). Discursivity, difference, and disruption. Marketing Theory, 13(2), 149–174. https://doi.org/10.1177/1470593113477889
   Web of Science ®Google Scholar
• Thompson, L. J., Clark, G., Walker, M., & Whyatt, J. D. (2013). ‘It’s just like an extra string to your bow’: Exploring higher education students’ perceptions and experiences of extracurricular activity and employability. Active Learning in Higher Education, 14(2), 135–147. https://doi.org/10.1177/1469787413481129
   Web of Science ®Google Scholar
• Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
   PubMed Web of Science ®Google Scholar
• Van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. arXiv preprint arXiv:1109.2058.
   Google Scholar
• Waltman, L., & Van Eck, N. J. (2013). A smart local moving algorithm for large-scale modularity-based community detection. The European Physical Journal B, 86(11), 1–14. https://doi.org/10.1140/epjb/e2013-40829-0
   Web of Science ®Google Scholar
• Waltman, L., Van Eck, N. J., & Noyons, E. C. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635. https://doi.org/10.1016/j.joi.2010.07.002
   Web of Science ®Google Scholar
• Wang, S.-K., Hsu, H.-Y., Campbell, T., Coster, D. C., & Longhurst, M. (2014). An investigation of middle school science teachers and students use of technology inside and outside of classrooms: Considering whether digital natives are more technology savvy than their teachers. Educational Technology Research and Development, 62(6), 637–662. https://doi.org/10.1007/s11423-014-9355-4
   Web of Science ®Google Scholar
• Warschauer, M., Zheng, B., Niiya, M., Cotten, S., & Farkas, G. (2014). Balancing the one-to-one equation: Equity and access in three laptop programs. Equity & Excellence in Education, 47(1), 46–62. https://doi.org/10.1080/10665684.2014.866871
   Google Scholar
• Wexler, N. (2020). The knowledge Gap: The hidden cause of America's broken education system–And How to Fix It. Avery.
   Google Scholar
• Wu, H.-K., Lee, S. W.-Y., Chang, H.-Y., & Liang, J.-C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024
   Web of Science ®Google Scholar
• Wu, W.-H., Wu, Y.-C. J., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817–827. https://doi.org/10.1016/j.compedu.2012.03.016
   Web of Science ®Google Scholar
• Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duan, Z. (2016). Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. Journal of the Association for Information Science and Technology, 67(4), 967–972. https://doi.org/10.1002/asi.23437
   Web of Science ®Google Scholar
• Zhu, Q., & Wang, M. (2020, 01/01/). Team-based mobile learning supported by an intelligent system: Case study of STEM students. Interactive Learning Environments, 28(5), 543–559. http://search.ebscohost.com/login.aspx?direct = true&db = eric&AN = EJ1259312&site = ehost-live&authtype = ip,shib&user = s152315 doi:10.1080/10494820.2019.1696838
   Web of Science ®Google Scholar