Literature DB >> 29900193

Survey data on teaching strategies and product innovation: A focus on selected university students in Nigeria.

Maxwell Olokundun1, Stephen Ibidunni1, Mercy Ogbari1, Fred Peter1, Taiye Borishade1, Hezekiah Falola1, Odunayo Salau1, Oladele Kehinde1.   

Abstract

The main objective of this study was to examine the effectiveness of the teaching methods adopted in motivating university students' in Nigeria to engage in product innovation. Emphasis was laid on Covenant University in Nigeria which is the pioneer institution to offer entrepreneurship education in Nigeria. The study adopted quantitative method with a descriptive research design to establish trends related to the objective of the study. Survey was be used as quantitative research method. The population of this study comprised all students in the selected university which was given as 6401 3. A sample size of 377 students was selected using yard's formula. Reliability and validity were confirmed. Data was analyzed with the use of Statistical Package for Social Sciences (SPSS).Regression analysis was used as statistical tool of analysis. The field data set is made publicly available to enable critical or a more extensive inquiry.

Entities:  

Keywords:  Product innovation; Teaching strategies; University students

Year:  2018        PMID: 29900193      PMCID: PMC5996260          DOI: 10.1016/j.dib.2018.03.027

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specification table Value of data These data present data on teaching methods in university entrepreneurship education as it relates to creating salient entrepreneurial experience for undergraduates. This is geared towards development of relevant entrepreneurial proficiencies by university students. The results showed that the use of experiential teaching methods can be very helpful for universities and entrepreneurship educators in achieving desired results for university entrepreneurship education. The results of this study can be used to improve pedagogical practices in university entrepreneurship education.

Data

As shown in Table 1 below, the research questionnaire was administered to three hundred and seventy-seven (377) respondents representing the sample size used in the university selected (Covenant University). Three hundred (300) copies were returned, and seventy-seven (77) copies were not returned.
Table 1

Analysis of general response rate.

QuestionnaireRespondentsPercentage of respondents
Retrieved30079.6%
Not retrieved7720.4%
Total377100%
Analysis of general response rate. Based on the copies of questionnaire retrieved, the following represents the personal (Bio) data section of questionnaire. It shows a comprehensive table indicating the gender, age, educational attainment, self- employment and level of the respondents. The above Gender Distribution shows that 135(45.0%) persons are male respondents while 165(55.0%) are female respondents. The female respondents have the highest percentage, which implies that majority of the research questionnaire were filled by females. The above table shows that 57(19.0%) of the respondents were within the range of (16-19) years of age, 227 (75.7%) of the respondents were within the age of (20-23), and 16(5.3%) of the respondents were within the age of (24-27). This implies that the majority of the respondents were within the age of (20-23). The above table shows that 300(100%) of the respondents have WASSCE/ O LEVEL as their highest level of educational attainment. The above table shows that 128(42.7%) of the respondents are self-employed while 172(57.3%) are not self- employed. This implies that the majority of the respondents are not self-employed. This table above shows that 48(16.0%) of the respondents are in 200 level while 95(31.7%) of the respondents are in 300 level, 111(37.0%) of the respondents are in 400level, and 46(15.3%) of the respondents are in 500 level. This implies that the majority of respondents are in 400 level. From the above table, responses to the research statement “The teaching and learning strategies used in this course is of high standard” are interpreted thus; (0.3%) of respondents strongly disagree, (16.0%) disagree, (14.7%) undecided, (45.7%) agree and (23.3%) strongly agree. From the above table, responses to the research statement “There are different teaching methods used in this course” are interpreted thus; (12.3%) of respondents disagree, (15.7%) undecided, (48.3%) agree and (23.7%) strongly agree. From the above table, responses to the research statement “The Teaching methods used in this course have influenced my mindset concerning product innovation” are interpreted thus; (0.3%) of respondents strongly disagree, (6.0%) disagree, (9.0%) undecided, (65.3%) agree, (19.3%) strongly agree. From the above table, responses to the research statement “I have developed products that are of high value and can be easily differentiated from the existing ones” are interpreted thus; (2.7%) of respondents disagree, (10.3%) undecided, (63.0%) agree and (24.0%) strongly agree (Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10).
Table 2

Percentage distribution of gender of the students.

FrequencyPercentValid percentCumulative percent
ValidMale13545.045.045.0
Female16555.055.0100.0
Total300100.0100.0
Table 3

Age distribution of the respondents.

FrequencyPercentValid percentCumulative percent
Valid16–195719.019.019.0
20-2322775.775.794.7
24-27165.35.3100.0
Total300100.0100.0
Table 4

Educational attainment of respondents.

FrequencyPercentValid percentCumulative percent
ValidWASSCE/ O LEVEL300100.0100.0100.0
Table 5

Self- employment of respondents.

FrequencyPercentValid percentCumulative percent
ValidYes12842.742.742.7
No17257.357.3100.0
Total300100.0100.0
Table 6

Level of respondents.

FrequencyPercentValid percentCumulative percent
Valid2004816.016.016.0
3009531.731.747.7
40011137.037.084.7
5004615.315.3100.0
Total300100.0100.0
Table 7

Descriptive statistics measuring the standard of teaching methods used in the course.

FrequencyPercentValid percentCumulative percent
ValidStrongly disagree1.3.3.3
Disagree4816.016.016.3
Undecided4414.714.731.0
Agree13745.745.776.7
strongly agree7023.323.3100.0
Total300100.0100.0
Table 8

Descriptive statistics measuring variations in teaching methods used.

FrequencyPercentValid percentCumulative percent
ValidDisagree3712.312.312.3
Undecided4715.715.728.0
Agree14548.348.376.3
Strongly agree7123.723.7100.0
Total300100.0100.0
Table 9

Descriptive statistics measuring teaching methods and the development of innovative mindset.

FrequencyPercentValid percentCumulative percent
ValidStrongly disagree1.3.3.3
Disagree186.06.06.3
Undecided279.09.015.3
Agree19665.365.380.7
strongly agree5819.319.3100.0
Total300100.0100.0
Table 10

Descriptive statistics measuring teaching methods and product innovation.

FrequencyPercentValid percentCumulative percent
ValidDisagree82.72.72.7
Undecided3110.310.313.0
Agree18963.063.076.0
Strongly agree7224.024.0100.0
Total300100.0100.0
Percentage distribution of gender of the students. Age distribution of the respondents. Educational attainment of respondents. Self- employment of respondents. Level of respondents. Descriptive statistics measuring the standard of teaching methods used in the course. Descriptive statistics measuring variations in teaching methods used. Descriptive statistics measuring teaching methods and the development of innovative mindset. Descriptive statistics measuring teaching methods and product innovation. Based on the inferential statistical data, the test statistics used in this hypothesis is the regression analysis. The adoption of this test statistics is based on the fact that regression analysis is used in describing the dependence of variable on one or more variables. It is also used to determine the effect and the impact of the independent variable on the dependent variable. The formula for multiple regression is Y’= = α + β1Xj + β2×2j + ……….βkXj. WHERE Y’ = the dependent variable α = the value of the intercept β = the slope of the Independent Variable X = the Independent variable The F ratio is calculated to determine the level of significance and at an appropriate degree of freedom, R square is the coefficient of determination, the strength and direction of the relationship. Beta determines the relative importance of the independent variable. Standard errors display the strength of standard deviation, the higher the standard error, the less significance and the lower the standard error, the greater the significance. The significance level below 0.05 implies a statistical confidence of above 95%. Therefore, we reject the null hypothesis once the P- value is < 0.05 and accept the alternative hypothesis H0: There is no significant effect of teaching methods on product innovation. Regression analysis was used in evaluating the Hypothesis. Table 11 represents the ‘Model Summary’ and it describes to what extent the dependent variable is explained by the model. Therefore, the outcome for the table shows that teaching methods has an effect of 42.3%. i.e. (R square = (0.423*100)) on product innovation.
Table 11

Model summary.

ModelRR squareAdjusted R squareStandard error of the estimate
1.650a.423.421.54320

Predictors: (Constant), product innovation

Model summary. Predictors: (Constant), product innovation The Analysis of Variance table tests the null hypothesis to determine if it is statistically significant. From the results, the model in Table 12 is statistical significance (F (1.298) = 218.572, p = .000). The statistical significance in the above table is (.000), therefore the null hypothesis should be rejected because the P – value is less than 0.05 significant level. This implies that teaching methods has a significant effect on product innovation’
Table 12

Analysis of variancea.

ModelSum of squaresDegree of freedomMean squareFSignificance
1Regression64.493164.493218.572.000b
Residual87.929298.295
Total152.422299

Dependent Variable: product innovation

Predictors: (Constant), teaching methods

Analysis of variancea. Dependent Variable: product innovation Predictors: (Constant), teaching methods Coefficient Table 13 shows the simple model that expresses the effect of teaching methods on product innovation. In this table, the beta co-efficient is 0.650, which relates to product innovation. From this table, we can conclude that teaching methods has significant effect on product innovation as (14.784) is greater than slope 0.882 and sig = (0.000). The hypothesis generated a level of significance of 0.000 which is less than 0.05 (p < 0.05) which is the standard for rejecting the null hypothesis and accepting alternate hypothesis. This aligns with the study of [7] who opined that the development of entrepreneurial competencies by university students is hinged on instructional strategies. This also corresponds with the work of [1] which showed that the appropriate teaching methods for the development of entrepreneurial competencies by university students
Table 13

Coefficienta.

ModelUnstandardized coefficients
Standardized coefficientstSignificance
BStandard. errorBeta
1(Constant).192.250.770.442
product innovation.882.060.65014.784.000

Dependent Variable: product innovation

Coefficienta. Dependent Variable: product innovation

Experimental design, materials and methods

Covenant University was selected from South west Nigeria. Three hundred and seventy seven students were selected to participate in this study. Data were gathered from students across the various colleges in the selected university with the aid of a researcher- made questionnaire based on the works of [2], [3], [4], [5], [6], [8], [9]. The collected data were coded and entered into SPSS version 22 Data analysis was performed; using SPSS-22 Data was analyzed applying inferential statistical tests which involved regression analysis. There was a meaningful relationship between teaching methods and engagement in product innovation in the selected university in south west Nigeria.

Conclusion and implications for the study

This study revealed that teaching methods have significant and positive impact on students’ product innovation. The requisite for university students to develop entrepreneurial competences and proficiencies while in school obliges universities to appreciate the importance of engaging appropriate teaching methods particularly with regards to the propensity of students to engage in product innovation hence, this present study has extensive implications for both the universities, entrepreneurship educators and undergraduate students in this regard. To this end, the data presented in this article is imperative for more comprehensive analysis or investigation.
Subject areaBusiness, Management
More Specific Subject Area:Business and Entrepreneurship education
Type of DataTable
How Data was AcquiredResearcher-made questionnaire analysis
Data formatRaw, analyzed, Descriptive and Inferential statistical data
Experimental FactorsSample consisted of university students in Nigeria. The researcher-made questionnaire which contained data on teaching methods and product innovation were completed..
Experimental featuresTeaching methods are one of the factors endangering entrepreneurial development of university students.
Data source locationSouth west Nigeria
Data AccessibilityData is included in this article
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