Abstract
It becomes important to consider the role of Information Technologies (IT) in society and at school, including its impact on the teaching-learning process transformation. The use of IT should be done in an integrated and inclusive way, it is critical to teach how to use, consume and interact with technology. This study intends to contribute to a more depth understanding of the IT impact in the teaching-learning process. Our main goal is to create a scale to measure the Subjects’ Interest and Motivation, Motivation and Involvement with Learning Resources and Learning Styles. Those are important factors that impact on students’ Learning Performance. Insights from an empirical study of 357middle education students indicate that this multi-dimensional scale incorporates the following constructs: a) Interest and Motivation, b) Motivation and Involvement with IT’s Learning Resources, c) Motivation and Involvement with Teachers’ Learning Resources, and d) Non Literary Learning Styles. Discussion centers on this scale implications for theory development and management decisions. Teachers’ and schools’ managers may better understand the learning resources and styles preferred by students, and thus to create more motivational learning programs. Directions for future research are also presented.
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References
Abrahamsom, C.: Issues in interactive communication in distance education. College Student Journal 32(1), 33–43 (1998)
Abrantes, J., Seabra, C., Lages, L.: Major determinants of students’ perceived learning: Pedagogical affect, student interest and learning performance. Journal of Business Research 60(9), 960–964 (2007)
Aleven, V., Koedinger, K.: An effective metacognitive strategy: Learning by doing and explaining with a computer-based cognitive tutor. Cognitive Science 26, 147–179 (2002)
Anderson, J., Gerbing, D.: Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin 103(3), 411–423 (1988)
Bagozzi, R.: Causal models in marketing. John Wiley, New York (1980)
Berndt, T., Keefe, K.: Friends’ influence on adolescents’ perceptions of themselves at school. In: Meece, D.H. (ed.) Student Perceptions in the Classroom, pp. 51–73. LEA, Hillsdale (1992)
Berry, L.: Our roles as educator: Present and future. Journal of Marketing Education 15, 3–8 (1993)
Bridges, E.: Experiential learning and customer needs in the undergraduate marketing research course. Journal of Marketing Education 21(1), 51–59 (1999)
Brokaw, A.: The effects of students’ behaviour and preferred learning style on performance. Journal of Business Research 1, 44–53 (2000)
Brokaw, A., Merz, T.E.: The effects of student behavior and preferred learning style performance. Journal of Business Education, 44–53 (2000)
Clarke III, I., Flaherty, T.B., Mottner, S.: Student perceptions of educational technology tools. Journal of Marketing Education 23(3), 169–177 (2001)
Davis, R., Auken, S.M.: Relating pedagogical preference of marketing seniors and alumni to attitude toward the major. Journal of Marketing Education 22(2), 147–154 (2000)
Davis, R., Misra, S., Van Auken, S.: Relating pedagogical preference of marketing seniors and alumni to attitude towards the major. Journal of Marketing Education 22, 147–154 (2000)
Dunn, R., Griggs, S.: Multiculturalism and learning style: Teaching and clousing adolescents. Praeger, Westport (1995)
Dunn, R., Giannitti, M., Murray, J., Rossi, I.: Grouping students for instruction: Effects of learning style on achievement and attitudes. Journal of Social Psychology 130, 485–494 (1990)
Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, 39–50 (1981)
Goodenow, C.: Strengthening the links between educational psychology and the study of social contexts. Educational Psychologist 27, 177–196 (1992)
Goodenow, C., Grady, K.E.: The relationship of school belonging and friends’ values to academic motivation among urban adolescent students. Journal of Experimental Education 62(1), 60–71 (1993)
Hamer, L.: The additive effects of semistructured classroom activities on student learning: An application of classroom-based experiential learning techniques. Journal of Marketing Education 22(1), 25–34 (2000)
Hay, A., Hodgkinson, M., Peltier, J., Drago, W.: Interaction and virtual learning. Strategic Change 13(4), 193–204 (2004)
Honey, P., Mumford, A.: The manual of learning styles. Maidenhead, Berkshire (1992)
Hsu, C.: Learning styles of hospitality students: Nature or nurture. Hospitality Management 18(3), 17–30 (1999)
Hunt, L., Eagle, L., Kitchen, P.: Balancing marketing education and information technology: Matching needs or needing a better match? Journal of Marketing Education 26(1), 75–88 (2004)
Johnson, D., Johnson, R.: Learning together and alone. Prentice-Hall, Englewood Cliffs (1991)
Jöreskog, K., Sorbom, D.: LISREL 8: User’s reference guide. Scientific Software International, Chicago (1996)
Kolb, D.: Learning styles and disciplinary differences. California Mangement Review 18(3), 22–31 (1988)
Lashinger, H.K., Boss, M.W.: Learning styles and nursing students and career choices. Journal of Advanced Nursing 9, 375–380 (1984)
Leung, D.Y., Kember, D.: The relationship between approaches to learning and reflection upon practice. Educational Psychology 23(1), 61–71 (2003)
Lowman, J., Mathie, V.: What should graduate teaching assistants know about teaching? Teaching of Psychology 29(2), 84–88 (1993)
McGrath, C.: A new voice on interchange: Is it talking or writing? Implications for the teaching literature. Journal of Educational Techonology Systems 26, 291–297 (1997-1998)
McNeilly, K., Ranney, F.: Combining writing and electronic media in sales management courses. Journal of Marketing Education 20(fall), 226–235 (1998)
Mialaret, G.: Psicopedagogia. Dom Quixote, Lisboa (1992)
Palincsar, A., Brown, A.: Reciprocal teaching of comprehension-fostering and comprehension-monioring activities. Cognition and Instruction 1, 117–175 (1984)
Peltier, J.W., Drago, W., Schibrowsky, J.A.: Virtual communities and the assessment of online marketing education. Journal of Marketing Education 25, 260–276 (2003)
Prelow, H.M., Loukas, A.: The role of resource, protective, and risk factors on academic achievement-related outcomes of economically disadvantaged Latino Youth. Journal of Community Psychology 31(5), 513–529 (2003)
Rogoff, B.: Apprenticeship in thinking: Cognitive development in social context. Oxford University Press, New York (1990)
Slavin, R.: Cooperative learning: Theory, research and practice. Prentice-Hall, Englewood Cliffs (1990)
Vygotsky, L.: Mind in society: The development of higher psychological processes. Cole, M., John-Steiner, V., Scribner, S., Souberman, E. (eds.) Harvard University, Cambridge (1978)
Webster, J., Hackley, P.: Teaching effectiveness in technology-mediated distance learning. Academy of Management Journal 40(6), 128 (1997)
Weiner, J.: Asymmetric competition in plant populations. Trends in Ecology and Evolution 5, 360–364 (1990)
Young, M.: The motivational effects of the classroom environment in facilitating self-regulated learning. Journal of Marketing Education 27(1), 25–40 (2005)
Young, M., Klemz, B., Murphy, J.: Enhancing learning outcomes: The effects of instructional technology, learning styles, instructional methods, and student behaviour. Journal of Marketing Education 25(2), 130–142 (2003)
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Moreira, R., Seabra, C., Abrantes, J.L., Rego, B. (2015). The STUDENTSCALE: Measuring Students’ Motivation, Interest, Learning Resources and Styles. In: Palacios-Marqués, D., Ribeiro Soriano, D., Huarng, K. (eds) New Information and Communication Technologies for Knowledge Management in Organizations. GIKA 2015. Lecture Notes in Business Information Processing, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-22204-2_1
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