"Virtually mandatory": A survey of how discipline and institutional commitment shape university lecturers' perceptions of technology
Although there have been many claims that technology might enhance university teaching, there are wide variations in how technology is actually used by lecturers. This paper presents a survey of 795 university lecturers’ perceptions of the use of technology in their teaching, showing how their respo...
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Published in | British journal of educational technology Vol. 45; no. 4; pp. 748 - 759 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Coventry
Blackwell Publishing Ltd
01.07.2014
Wiley-Blackwell |
Subjects | |
Online Access | Get full text |
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Abstract | Although there have been many claims that technology might enhance university teaching, there are wide variations in how technology is actually used by lecturers. This paper presents a survey of 795 university lecturers’ perceptions of the use of technology in their teaching, showing how their responses were patterned by institutional and subject differences. There were positive attitudes towards technology across institutions and subjects but also large variations between different technologies. Two groups of technology were identified—“core” technologies, such as Powerpoint, that were used frequently, even when lecturers felt that they were not having a positive impact on learning, and “marginal” technologies, such as blogs, that were used much less frequently and only where they fitted the pedagogic approach or context. Rather than there being “leading” universities that were the highest users of all technologies, institutions tended to be heavier users of some technologies than others. Similarly, subjects could be associated with particular technologies rather than being consistent users of technology in general. The study suggests that university technology policy should reflect different disciplines and contexts rather than “one size fits all” directives. |
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AbstractList | Although there have been many claims that technology might enhance university teaching, there are wide variations in how technology is actually used by lecturers. This paper presents a survey of 795 university lecturers' perceptions of the use of technology in their teaching, showing how their responses were patterned by institutional and subject differences. There were positive attitudes towards technology across institutions and subjects but also large variations between different technologies. Two groups of technology were identified-"core" technologies, such as Powerpoint, that were used frequently, even when lecturers felt that they were not having a positive impact on learning, and "marginal" technologies, such as blogs, that were used much less frequently and only where they fitted the pedagogic approach or context. Rather than there being "leading" universities that were the highest users of all technologies, institutions tended to be heavier users of some technologies than others. Similarly, subjects could be associated with particular technologies rather than being consistent users of technology in general. The study suggests that university technology policy should reflect different disciplines and contexts rather than "one size fits all" directives. Although there have been many claims that technology might enhance university teaching, there are wide variations in how technology is actually used by lecturers. This paper presents a survey of 795 university lecturers' perceptions of the use of technology in their teaching, showing how their responses were patterned by institutional and subject differences. There were positive attitudes towards technology across institutions and subjects but also large variations between different technologies. Two groups of technology were identified--"core" technologies, such as Powerpoint, that were used frequently, even when lecturers felt that they were not having a positive impact on learning, and "marginal" technologies, such as blogs, that were used much less frequently and only where they fitted the pedagogic approach or context. Rather than there being "leading" universities that were the highest users of all technologies, institutions tended to be heavier users of some technologies than others. Similarly, subjects could be associated with particular technologies rather than being consistent users of technology in general. The study suggests that university technology policy should reflect different disciplines and contexts rather than "one size fits all" directives. [PUBLICATION ABSTRACT] |
Audience | Higher Education Postsecondary Education |
Author | Shelton, Chris |
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References | White, D., Warren, N., Faughnan, S. & Manton, M. (2010). Study of UK online learning. Oxford: HEFCE. Lynch, M. M. (2002). The online educator: a guide to creating the virtual classroom. London: RoutledgeFalmer. Brill, J. M. & Galloway, C. (2007). Perils and promises: university instructors' integration of technology in classroom-based practices. British Journal of Educational Technology, 38, 1, 95-105. doi: 10.1111/j.1467-8535.2006.00601.x. Gorard, S. (2006). Using everyday numbers effectively in research. London: Continuum. JISC (2004). e-Assessment glossary [extended]. Bristol: JISC. Rea, L. M. & Parker, R. A. (2005). Designing and conducting survey research: a comprehensive guide. San Francisco: Jossey Bass. Trowler, P. (2008). Cultures and change in higher education: theories and practice. Basingstoke: Palgrave Macmillan. Fan, W. & Yan, Z. (2010). Factors affecting response rates of the web survey: a systematic review. Computers in Human Behavior, 26, 2, 132-139. doi: 10.1016/j.chb.2009.10.015. Mishra, P. & Koehler, M. J. (2006). Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, 108, 6, 1017-1054. Kopcha, T. J. & Sullivan, H. (2006). Self-presentation bias in surveys of teachers' educational technology practices. Educational Technology Research and Development, 55, 6, 627-646. doi: 10.1007/s11423-006-9011-8. Barrios, M., Villarroya, A., Borrego, A. & Olle, C. (2010). Response rates and data quality in web and mail surveys administered to PhD holders. Social Science Computer Review, 29, 2, 208-220. doi: 10.1177/0894439310368031. Wright, K. B. (2005). Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10, doi: 10.1111/j.1083-6101.2005.tb00259.x. D'Andrea, V. & Gosling, D. (2005). Improving teaching and learning in higher education: a whole institution approach. Maidenhead: OUP. Ferrell, G., Kelly, J., MacMahon, C., Probert, S., Quentin-Baxter, M. & Riachi, R. (2007). CAMEL tangible benefits of E-learning project - final report. Bristol: JISC. Browne, T., Hewitt, R., Jenkins, M., Voce, J., Walker, R. & Yip, H. (2010). 2010 survey of technology enhanced learning for higher education in the UK. Oxford: UCISA. McConnell, D. (2000). Implementing computer-supported cooperative learning (2nd ed.). London: Kogan Page. Njenga, J. K. & Fourie, L. C. H. (2010). The myths about e-learning in higher education. British Journal of Educational Technology, 41, 2, 199-212. doi: 10.1111/j.1467-8535.2008.00910.x. Hanson, J. (2009). Displaced but not replaced: the impact of e-learning on academic identities in higher education. Teaching in Higher Education, 14, 5, 553-564. doi: 10.1080/13562510903186774. Mayes, T., Morrison, D., Mellar, H., Bullen, P. & Oliver, M. (2009). Transforming higher education through technology enhanced learning. York: HEA. Bates, T. & Poole, G. (2003). Effective teaching with technology in higher education. San Francisco: Jossey-Bass. 2009; 14 2010; 26 2006; 108 2000 2010; 29 2010 2006; 55 2009 2008 2007 2006 2005; 10 2005 2004 2003 2002 2010; 41 2007; 38 e_1_2_7_6_1 e_1_2_7_4_1 Ferrell G. (e_1_2_7_10_1) 2007 e_1_2_7_9_1 e_1_2_7_18_1 e_1_2_7_17_1 JISC (e_1_2_7_16_1) 2004 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_12_1 Browne T. (e_1_2_7_7_1) 2010 McConnell D. (e_1_2_7_20_1) 2000 Wright K. B. (e_1_2_7_28_1) 2005; 10 White D. (e_1_2_7_27_1) 2010 Mayes T. (e_1_2_7_19_1) 2009 Gorard S. (e_1_2_7_11_1) 2006 D'Andrea V. (e_1_2_7_8_1) 2005 e_1_2_7_24_1 e_1_2_7_23_1 e_1_2_7_22_1 Bates T. (e_1_2_7_5_1) 2003 e_1_2_7_21_1 Rea L. M. (e_1_2_7_25_1) 2005 Trowler P. (e_1_2_7_26_1) 2008 Barnett R. (e_1_2_7_3_1) 2004 |
References_xml | – reference: Bates, T. & Poole, G. (2003). Effective teaching with technology in higher education. San Francisco: Jossey-Bass. – reference: JISC (2004). e-Assessment glossary [extended]. Bristol: JISC. – reference: Mayes, T., Morrison, D., Mellar, H., Bullen, P. & Oliver, M. (2009). Transforming higher education through technology enhanced learning. York: HEA. – reference: Fan, W. & Yan, Z. (2010). Factors affecting response rates of the web survey: a systematic review. Computers in Human Behavior, 26, 2, 132-139. doi: 10.1016/j.chb.2009.10.015. – reference: D'Andrea, V. & Gosling, D. (2005). Improving teaching and learning in higher education: a whole institution approach. Maidenhead: OUP. – reference: Brill, J. M. & Galloway, C. (2007). Perils and promises: university instructors' integration of technology in classroom-based practices. British Journal of Educational Technology, 38, 1, 95-105. doi: 10.1111/j.1467-8535.2006.00601.x. – reference: Rea, L. M. & Parker, R. A. (2005). Designing and conducting survey research: a comprehensive guide. San Francisco: Jossey Bass. – reference: Browne, T., Hewitt, R., Jenkins, M., Voce, J., Walker, R. & Yip, H. (2010). 2010 survey of technology enhanced learning for higher education in the UK. Oxford: UCISA. – reference: Barrios, M., Villarroya, A., Borrego, A. & Olle, C. (2010). Response rates and data quality in web and mail surveys administered to PhD holders. Social Science Computer Review, 29, 2, 208-220. doi: 10.1177/0894439310368031. – reference: Mishra, P. & Koehler, M. J. (2006). Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, 108, 6, 1017-1054. – reference: Trowler, P. (2008). Cultures and change in higher education: theories and practice. Basingstoke: Palgrave Macmillan. – reference: Ferrell, G., Kelly, J., MacMahon, C., Probert, S., Quentin-Baxter, M. & Riachi, R. (2007). CAMEL tangible benefits of E-learning project - final report. Bristol: JISC. – reference: Lynch, M. M. (2002). The online educator: a guide to creating the virtual classroom. London: RoutledgeFalmer. – reference: White, D., Warren, N., Faughnan, S. & Manton, M. (2010). Study of UK online learning. Oxford: HEFCE. – reference: Kopcha, T. J. & Sullivan, H. (2006). Self-presentation bias in surveys of teachers' educational technology practices. Educational Technology Research and Development, 55, 6, 627-646. doi: 10.1007/s11423-006-9011-8. – reference: Wright, K. B. (2005). Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10, doi: 10.1111/j.1083-6101.2005.tb00259.x. – reference: Gorard, S. (2006). Using everyday numbers effectively in research. London: Continuum. – reference: Hanson, J. (2009). Displaced but not replaced: the impact of e-learning on academic identities in higher education. Teaching in Higher Education, 14, 5, 553-564. doi: 10.1080/13562510903186774. – reference: McConnell, D. (2000). Implementing computer-supported cooperative learning (2nd ed.). London: Kogan Page. – reference: Njenga, J. K. & Fourie, L. C. H. (2010). The myths about e-learning in higher education. 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Title | "Virtually mandatory": A survey of how discipline and institutional commitment shape university lecturers' perceptions of technology |
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