What institutional factors influence undergraduate student engagement in the online environment, and how do those factors compare to results from traditional classroom instruction
Objectives – A 2,000 word research proposal comprising of:
• State its relevance to higher education and specifically to online higher education organizations using references.
• A discussion of possible data collection and analysis methods that could be used to address the question and your reasons for choosing these methods.
• State its relevance to higher education and specifically to online higher education organizations using references.
• A discussion of possible data collection and analysis methods that could be used to address the question and your reasons for choosing these methods.
My research question is: What institutional factors statistically influence undergraduate student engagement in the online environment, and how do those factors compare to results from traditional classroom instruction?
I plan to use two data type (quantitative and qualitative). First, and quantitatively, I hope to use National Survey of Student Engagement (NSSE) data to identify specific factors that influence student engagement using factor analysis, principal component method. This will cluster similar questions with similar responses into categorical groups, thus revealing distinct ‘factors’ (see ‘Empirical Results’ section in Jordanian article for similar analysis).
Next, I will compare the factors from online student responses to responses from traditional classroom students (using ANOVA); this will identify the similarities and differences in engagement factors between online student responses and traditional classroom student responses (See Assessment & Evaluation in Higher Education article for similar quantitative analysis methodology) . Example:
Online Traditional Online Traditional
Question# Mean Mean P Factor Mean Mean P
1 2.76 2.82 0.63
1 2.45 2.79 0.63
2 4.13 3.83 0.001* 2 4.30 3.58 0.001*
3 4.1 3.99 0.15 3 4.12 3.75 0.15
4 2.94 3.14 0.06 4 2.46 2.86 0.06
5 2.23 2.39 0.2
FOR MORE INFORMATION ON THIS TOPIC CLICK HERE
I plan to use two data type (quantitative and qualitative). First, and quantitatively, I hope to use National Survey of Student Engagement (NSSE) data to identify specific factors that influence student engagement using factor analysis, principal component method. This will cluster similar questions with similar responses into categorical groups, thus revealing distinct ‘factors’ (see ‘Empirical Results’ section in Jordanian article for similar analysis).
Next, I will compare the factors from online student responses to responses from traditional classroom students (using ANOVA); this will identify the similarities and differences in engagement factors between online student responses and traditional classroom student responses (See Assessment & Evaluation in Higher Education article for similar quantitative analysis methodology) . Example:
Online Traditional Online Traditional
Question# Mean Mean P Factor Mean Mean P
1 2.76 2.82 0.63
1 2.45 2.79 0.63
2 4.13 3.83 0.001* 2 4.30 3.58 0.001*
3 4.1 3.99 0.15 3 4.12 3.75 0.15
4 2.94 3.14 0.06 4 2.46 2.86 0.06
5 2.23 2.39 0.2
FOR MORE INFORMATION ON THIS TOPIC CLICK HERE
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