1b. Schedule and Conduct Interview
I have scheduled a call with Andreas Paul Eberhard Kloeckner to discuss the platform RELATE, and interview him on the questions for the 24th. I have sent emails to the rest of my primary leads and am still waiting to hear back from them.
1c. Developing Survey Questions
a. Which online learning environments/platforms have you used at the University, if any? (Select all that apply)
– Compass2g/ Illinois Compass
– Other (Please Specify)
b. In what capacity have you used these online education platforms?
c. How do you think your educational experience would change if you were to shift your studies to completely offline without access to such platforms?
– Drastically Worse
– Little Worse
– About the same
– Little Better
– Drastically Better
d. Do you think the complete offline study experience is able to be emulated on these online study platforms?
– No (What is it that is missing?)
e. If you are currently and Instructor, name the different technological study environments that you used as a student if any.
– Free Response box
f. Do you believe your attentiveness is improved using technological products like the i-clicker in the study environment?
– Not at all
– Not much
– It’s about the same
– It’s a little better
– By a lot
g. How do you think technology in education is affecting the quality of education being provided?
– Drastically deteriorating
– Making it a little worse
– Not affecting it in any way
– Improving it a little
– Education is better than it ever was
h. Do you think the colleges would be able to function the same during this pandemic without the aid of technology? How?
– Yes [Free Response field]
– No [Free Response field]
1d. Expand Survey Distribution Leads
Cecilia Ding – Chair ACM UIUC
Vibhav Kotriwala – Engineering Student UIUC
My secondary source is an excerpt from the research paper “EXAMINING TECHNOLOGICAL FACTORS ON E-LEARNING ACCEPTANCE AND LEARNING TRANSFER” by Seohyun Claire Wong. The main idea and goal of the paper revolves around analyzing and to explore technological factors at the learner, instructional design, and system level and examine their effects on the e-learning acceptance and learning outcomes.(Wong). The author through this study is mainly attempting to clear the ambiguity revolving around our understanding of technological factors that are unique in e-learning such as computer anxiety, perceived ease of use, or controllability. (Wong)
The research design and data collection for the project was quite detailed. This research is a cross-sectional study using a quantitative survey to explain the effect of e-learning technological factors on technology acceptance and learning transfer. The quantitative research design was selected for this study because the purpose of the research was to examine the effects and relationships among variables (Creswell, 1994). A written survey was created to measure 14 factors and gather demographic information. All instruments measuring factors in the survey were previously validated in the existing literature. To collect the data, an electronic survey was sent to the target respondents by e-mails. A confirmation factor analysis technique was employed to cross-validate the factors. An inferential statistical analysis method, structural equation modeling, was performed for the hypotheses testing. (Wong)
Wong analyzes several key perspectives in relation to e-learning in this study, these perspectives give me several ideas for my own research study and are quite informative. The different types of topics that are covered include –
– Intention to Use & Actual Use
– Learner Satisfaction
– Perceived Usefulness
– Reliability and Functionality
– Perceived Ease of Use
These generic topic areas are important for my research study as well, as they help gauge the overall impact of e-learning environments on students, instructors and will help better answer my overall research question.
5 Takeaways –
1) research design – Design the research paper, understand the requirements and how you want to answer those requirements.
2) target population and research sample – Understand the exact target population, and ask questions pertinent to them, also analyze how their answers help answer the research questions
3) measurements – Use metrics, and clear data to prove your points.
4) data collection process – Use multiple different kinds of datasets, such as interviews, surveys, statistics, and research studies to further reinforce your findings.
5) Divide and Conquer – Divide the general question into smaller subsets and categories, and try and answer those categories separately. Together they shall answer the general question as a whole.