Table 2: chi square tests to analyze the relationship between the variables
It was revealed that a majority of the respondents agreed that instructional technology is more complex than lecture method and felt intimidated by instructional technology (Mean 2.95, SD 1.30). The respondents found instructional technology to be more systematic and organized than lecture method and felt that instructional technology enabled them to be more creative than lecture method (Mean 3.59, SD 1.09). However a large percentage felt that Teaching through instructional technology lost the personal touch factor that helps to connect with the students in as better way. With respect to administrative support required a large majority felt that instructional technology required high administrative support than lecture method. A large percentage of the respondents felt that instructional technology saved time and that there is greater student involvement and learning with instructional technology than with lecture method (Mean 3.42, SD 1.13).. Also the instructor availability is more with instructional technology than with lecture method mode of teaching. Respondents were divided on the issue of which method lend itself to easier assessment of student performance. A large majority agreed that instructional technology lead to the global orientation of the students (Mean 4.08, SD 1.32). An overwhelming majority of 80% respondents felt that instructional technology is highly beneficial for students, especially students pursuing a professional course.
DISCUSSION Interestingly it was found that in spite of the faculty members feeling that the use of instructional technology tools was beneficial for students ,there was found to be no significant relationship between the pedagogy followed and perceived usefulness of instructional technology tools (H07,H08, H09, H010 ).The question that comes to the fore is that despite the availability and access of technology tools to the faculty members and their preference for instructional technology, why were most of them still not using the various technology tools available to them to make their teaching more effective. There was found to be no significant relationship between the pedagogy followed and the effectiveness of pedagogy (H01 p value .972). This means that there could be certain other factors which limit the adoption of the instructional technology for teaching in spite of the fact that the faculty were convinced about the benefit of instructional technology. Could there be certain factors like age of the faculty, academic background, and the age of the institution, lack of training etc. which limit the integration of these tools into the teaching learning transaction? The survey revealed that new age technology teaching was partly intimidating. A large population found it easier to prepare lectures on transparencies rather than use the computer. Most of them also felt that instructional technology was highly training intensive and they needed guidance for using instructional technology as a teaching Aid. Many faculty members felt that given a choice they would still prefer to use the lecture method for effective instruction in class. But on a positive note they also felt that they had more time to devote to intellectual enhancements as instructional technology has resulted in saving time for the respondents. Only a small percentage believed that instructional technology was more easily adopted by faculty who had IT/Engineering background. A very large population was of the strong belief that effectiveness of the lectures is still person oriented and not technology oriented, given the flux of technology enabled teaching environment in the country today. An Overwhelming majority felt that instructional technology enhanced their global orientation as it exposed the faculty to the best practices in the rest of the world. Normally it is expected that as the institute builds up its infrastructure over the years and the faculty gains experience the pedagogy followed shifts from pure lecture method to instructional technology. The survey revealed that Hypothesis H02 is rejected as p value is less than .05 (p value is .002). This implies that there is a statistically significant relationship between numbers of years the institute has been in existence with preference for more advanced (read instructional technology) mode of teaching. Also it was found that as the institute became older, the faculty started using more advanced instructional technology tools (H03p value .031). It is usually expected that older faculty resist the use of technology enabled teaching and technology tools for research (Taylor & Todd 1995; Kwon & Chidambram 2000). The study revealed that there was no significant association between the two variables: age and pedagogy followed (p value is .698), so the hypothesis H06is accepted. The demands of professional education are especially high on faculty. Most professional institutes especially private institutes are imposing rigorous standards on the faculty to upgrade develop and deliver more effectively. Also there has been a significant shift from the traditional didactic style of teaching to a more interactive constructivist style of teaching. This requires that faculty across all age groups converge in terms of lecture delivery content as well as context. With an increased focus on quality in professional education gaining momentum instructional technology is an expected style of teaching across all age groups. The study also revealed that even the younger faculty members found instructional technology to be a complex and more demanding style of instruction which involved a lot of pre-preparation for instruction delivery. In spite of a unanimous agreement on the benefits of instructional technology there were doubts with respect to matching of their own personal teaching style with instructional technology. It is usually felt that a pedagogy adopted by a faculty is dependent on perceived usefulness in lecture preparation (Davis et al 1989). The survey revealed that, there exists definite relationship between time saved and preference of instructional pedagogy. Thus the hypothesis H08 is rejected (p value is .01). This indicates that instructional technology has a major benefit in terms of time saved in lecture preparation and delivery. This could be majorly attributed to the time saved in preparing the course plan in the subsequent semester terms. Much of the repetition involved in drafting, designing, and lecture wise handouts is reduced with the active use of instructional technology in instructional pedagogy. Usually more advanced professional institutes believe in providing complete facilities to its faculty, with the belief that the faculty would utilize these resources in course design, planning delivery, evaluation and up gradation. The purpose is intellectual enhancement of the faculty in terms of not only lecture design and delivery but also in terms of research capability. The survey revealed that the type of pedagogy followed is highly dependent on the access and availability of personal computers to a faculty. Thus the hypothesis H011 is rejected (p value .003 at 95% confidence interval). Usually the academic background of a faculty in a management institute is assumed to have some impact on the ease with which a faculty adapts to instructional technology. The findings of the preliminary survey revealed that this might not always be so. Demands of professional education require quick adaptation to various technological tools and applications which the institute provides to the faculty. Also management as a discipline involves the large number of non-technical sub areas which also use technology in some way or the other such as scientific decision making. Thus the hypothesis H05 is accepted (p value .501). The researchers conducted a factor analysis (table 3 and table 4) to find out the most important factors which according to the sample determined the adoption of instructional technology tools for instruction. Accordingly three factors emerged. The rotated component matrix revealed Eigen values of instructional technology more complex, instructional technology more intimidating, and instructional technology high administrative support with scores of .844, .780 and .551. Thus these components can be clubbed as factor 1 and labeled as technology intensive attributes. Factor 2 reveals components instructional technology more systematic, instructional technology more creative, and instructional technology more student involvement with scores of .719, .785 and .745. These components can be clubbed as factor 2 and labeled as learning enhancement attributes. Factor 3 comprises components- instructional technology lacks personal touch and instructional technology is less time consuming and this factor can be labeled as professional interaction.
Table 3: Total Variance Explained for factor analysis on instructional technology Vs lecture method
Table 4: Rotated Component Matrix for factor analysis on instructional technology Vs lecture method
Thus there are three principal areas where the major differences in perception exist as regards use of instructional technology and lecture method in teaching pedagogy. These relate to farads and doubts regarding the perceived technicality of the use of instructional technology, most faculty associate instructional technology with being more complex, and hence feel intimidated by the use of computers in classroom teaching. This could be more a question of mindset and resistance to new changes in the sphere of teaching, lack of computer training and short sightedness on the part of management. The factor 2 analyses revealed that most faculty members agree that there is greater student involvement with the use of instructional technology than with lecture method. The teaching by instructional technology was thought to be a more creative process than lecture method as the students were exposed to more visual and multimedia presentations in the class which made information much more interesting and exciting. Consequently it was perceived that the students absorption capacity was enhanced leading to greater learning. Studies in communication theory have also supported that there is greater learning through a visual medium of expression. Instructional technology facilitates a more professional interaction and this is revealed by factor 3. Therefore in instructional technology, it is sometimes assumed that instructional technology lacks personal touch factor that helps to connect with students. A factor analysis (Table 5 and Table 6) was also conducted to find out common perceptions related to instructional technology. Three factors were identified (see rotated component matrix). Components of factor 1 are instructional technology is intimidating, instructional technology is difficult to learn for non IT background faculty and given a choice, clear preference is for lecture method .Factor 1 can be labeled as negative presumptions. Factor 2 comprises lecture preparation high training intensive and effectiveness orientation; these components can be clubbed as comfort factor. Factor 3 can be labeled as intrinsic intellectual enhancement.
Table 5: Total Variance explained for factor analysis on perceptions of instructional technology
Table 6: Rotated Component Matrix for factor analysis on perceptions of instructional technology
This analysis helped the researchers to club the faculty into three broad categories. The first category of faculty comprised those faculty members who had negative perceptions with respect to instructional technology and were unwilling to change. This category was labeled as Cynic and had strong pedagogical beliefs. The second category comprised those faculty members who with a little training and guidance could adopt instructional technology as classroom practices. These were labeled Moderates as they were ready to change and adapt to newer pedagogical practices. The third category was the intellectual leaders who used instructional technology as a means for intrinsic enhancement and greater global orientation. These were labeled as Adaptors and were continuously innovating their teaching pedagogy by introducing the latest technologies into classroom pedagogy.
CONCLUSION The study has examined the relationships among teachers' levels of technology use and a number of key factors including years of experience, ease-of use, and access to resources. Achieving meaningful technology use is a slow process that is influenced by many factors. When educators and researchers look for ways to help teachers use technology effectively, it may be important to look at what they have (in terms of equipment) in addition to what they do not have (in terms of positive technology inclinations). Understanding teachers' visions for technology use and their beliefs about teaching and learning may be necessary if we want to initiate an adoption of modern technology interventions in teaching pedagogy. Many exciting applications of information technology in classrooms validate that new technology-based models of teaching and learning have the power to dramatically improve educational outcomes. But, classroom computers that are acquired as panaceas end up as doorstops. Unless other simultaneous innovations in pedagogy, curriculum, assessment, and school organization are coupled to the usage of instructional technology, the time and effort expended on implementing these devices produces few improvements in educational outcomes - and reinforces many educators’ cynicism about fads based on magical machines. To further the study, it is imperative to further research into whether teachers who use technology are smartly predisposed to democratic, collaborative, problem based pedagogy, or does technology bring these behaviors into the classroom? Does improved student learning occur only when technology is introduced along with different teaching practices? What teaching practices are best suited to maximizing the potential of technology to improve student learning?
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