Week 2 Blogpost: Developing a Learner-Centric eLearning Environment

In our journey towards creating a highly effective and inclusive eLearning platform, understanding our learners’ needs and characteristics is paramount. This analysis is deeply rooted in the principles laid out in last week’s Needs Assessment and further develops our understanding through a detailed Learner Analysis. This blog post primarily outlines the process and rationale behind the design decisions for our eLearning environment, specifically tailored for a diverse audience within a specific academic or corporate setting. Research suggests that understanding learner demographics is crucial for creating an engaging and effective learning environment (Zameecnick et al., 2022). Additionally, personalized learning environments have shown to improve student satisfaction and performance, particularly in diverse settings (Rajabalee & Santally, 2021).

Part 1: Context and Demographics

The development of our eLearning environment begins with a thorough investigation of the context for which it is being designed. For this project, I chose to focus on Dominican University (IL), reviewing demographic data from the institution’s website, community records, and census data. I also engaged in conversations with staff and students to gain deeper insights into the unique characteristics of our learners. The demographic review revealed a diverse mix of students in terms of age, cultural backgrounds, and learning preferences. This diversity requires a flexible and adaptive learning environment that can cater to varied educational needs and preferences, highlighting the importance of personalized learning paths within our course design. A study by Abtahi (2017) underlines the importance of such demographic awareness as a foundation for effective curriculum development. Furthermore, the adaptation to demographic realities can lead to more targeted and successful educational interventions (Barrett, 2021). This insight is particularly relevant given the increasing globalization of education, which introduces a broader spectrum of learning and cultural needs (Beauchamp, Brown, & Whitley, 2021).

Dominican University At a Glance

Dominican University, a leader among the nation's Hispanic-Serving Institutions (HSI), focuses on advancing opportunities and ensuring social mobility for Latine students. Since gaining HSI status in 2011, Dominican has evolved into a model for serving diverse student populations by expanding scholarships, reducing equity gaps, and creating new pathways to careers and graduate school. The institution celebrates cultural diversity and advocates for social justice, providing a rich environment for fostering global citizenship and community building. For more details, you can visit Dominican's HSI at https://www.dom.edu/HSI. 

Worksheet for analyzing learners (Table 1)

Demographic Characteristics	Learner Details
Size of target audience	Approximately 150 students
Subgroups participation	Veterans, single parents
Age ranges	Majority aged 25-40
Educational/grade level	Most are pursuing associate degrees
Time out of educational setting	Varies, with some having a gap of 5-10 years
Gender breakdown	55% female, 45% male
Cultural backgrounds	Diverse, with a significant Hispanic population
Primary language	Predominantly English, with Spanish speakers
Employment status	Mostly full-time workers
Socioeconomic status	Primarily lower to middle income
Learner type (Traditional/Non-traditional/First-generation)	Mostly non-traditional and first-generation
Geographic location(s)	Primarily urban and suburban areas
Internet connectivity	Good, but some areas have limited access
Access to technology	Majority have personal computers, some rely on mobile devices

Part 2: Learner Analysis and Persona Development

After the first demographic review, I utilized the Learner Analysis Worksheet found in Chapter 5, Table 1 of the book "Design for Learning: Principles, Processes, and Praxis" by McDonald, J.K., & West, R.E. (2021), to methodically categorize my results. This organized assessment was crucial in identifying particular learner traits like previous knowledge, ways of learning, and proficiency with technology. This information is crucial for tailoring the eLearning experience to suit the specific requirements of individual learners. Furthermore, I enhanced the learner persona I created in Unit 1 by developing a more detailed second persona. This new identity was shaped by observed data indicating that community colleges typically have more non-traditional and first-generation students enrolled. These students are generally over the age of 25 and frequently work full-time, unlike the younger, often part-time working student population aged 18 to 22 at traditional four-year colleges.

Part 3: Learner-Centered Design Process:

The design of our eLearning environment is profoundly influenced by the insights gathered in the first two parts of this exercise. Main characteristics of our upgraded online learning platform are:

 Adaptive Learning Paths:

Our eLearning system will offer customized learning routes, carefully designed to suit each student's unique speed of learning and preferred style of learning. This adaptive function guarantees that each student engages with material that is perfectly matched to their educational level, interesting, and directly suited to their unique learning preferences. Using advanced algorithms, these paths will adapt the delivery of content based on real-time evaluations of each learner's performance and changing preferences, maximizing engagement and educational effectiveness.

Flexible Access:

Our platform offers a wide range of asynchronous access options for course materials to suit the varying time restrictions and obligations of our students. This key flexibility allows students to study at their most convenient times, such as early morning, during a lunch break, or late evening. This feature is particularly beneficial for students managing work, family responsibilities, or other personal commitments, allowing them to easily fit education into their diverse lifestyles.

Cultural Diversity:

The material on our platform will respect and embrace cultural diversity, including a wide variety of global examples, case studies, and scenarios. Having diverse perspectives in education enriches the learning experience and makes all students feel valued and represented, making inclusivity essential.

Final thoughts

 The eLearning system at the Dominican University (IL) was carefully designed with a thorough pedagogical assessment to provide a well-rounded educational experience that caters to the various requirements of students. Putting the focus on the learner, this project aims to improve educational results greatly by creating a more inclusive and intellectually stimulating setting. This method includes sophisticated educational theories and techniques, like personalized instruction and adaptive learning strategies, meant to support different learning styles and preferences. This model aligns with contemporary educational principles emphasizing adaptability and engagement to create effective learning environments while personalizing the learning experience. Furthermore, with the inclusion of principles of fair access, the platform guarantees that all students, regardless of their economic status or where they live, have the same opportunity to educational resources. Ensuring educational equity is essential in minimizing differences and fostering a culture of constant growth and lifelong learning, which are crucial in today's global educational environment. 

References

 Abtahi, Y. (2017). The ‘More Knowledgeable Other’: A Necessity in the Zone of Proximal Development? For the Learning of Mathematics, 31(1), 35-39. https://eric.ed.gov/?id=EJ1185696

Barrett, S.E. (2021). Maintaining Equitable and Inclusive Classroom Communities Online During the COVID-19 Pandemic. Journal of Teaching and Learning, 15(2), 102-116. https://eric.ed.gov/?id=EJ1313271

 Beauchamp, M.H., Brown, C., & Whitley, J. (2021). The impact of COVID-19 in the learning and achievement of vulnerable Canadian children and youth. FACETS, 6, 1693-1713. https://www.facetsjournal.com/doi/10.1139/facets-2021-0096

Bialka, C.S. (2023). Designing a More Accessible Future: Learning from COVID-19. Perspectives on Urban Education. https://urbanedjournal.gse.upenn.edu/archive/volume-18-issue-1-fall-2020/designing-more-accessible-future-learning-covid-19

Botelho, F.H. (2021). Childhood and Assistive Technology: Growing with opportunity, developing with technology. Assistive Technology, 33, 87-93. https://www.tandfonline.com/doi/full/10.1080/10400435.2021.1971330

Bowser, M. G., & DeCoste, D.C. (2020). The Evolving Landscape of Assistive Technology in K-12 Settings. Assistive Technology Outcomes and Benefits, 14, 94-110. https://www.atia.org/wp-content/uploads/2020/06/ATOB-V14-A6-DeCosteBowser.pdf

Dickerson, A., Hugen, A., Koob, A.R., Lamont-Mandre, M., Oliva, K.S., & Williamson, M. (2022). Tech Tools in Pandemic-Transformed Information Literacy Instruction. Information Technology and Libraries, 1-32. https://ejournals.bc.edu/index.php/ital/article/view/15383

Dominican University. (n.d.). Chicago’s Premier Catholic HSI. Retrieved from https://www.dom.edu/HSI

McDonald, J.K., & West, R.E. (2021). Design for learning: Principles, processes and praxis (1st ed.). Ed Tech Books.

Rajabalee, Y.B., & Santally, M.I. (2021). Learner satisfaction, engagement, and performances in an online module: Implications for institutional e-learning policy. Educ Inf Technol, 26, 2623–2656. https://doi.org/10.1007/s10639-020-10375-1

 Zameecnick, A., Kovanovic, V., Joksimovic, S., & Liu, L. (2022). Exploring non-traditional learner motivations and characteristics in online learning: A learner profile student. Computers and Education: Artificial Intelligence, 3(100051).