Self-Directed Learning: The Key to E-Learning Outcomes

This post is provided by guest blogger, Rachel Dobrich Ruffetti, a graduate student at the University of St. Francis in Joliet, working towards the Talent Development Certificate.

The article, “Exploring the Mediating Role of Student Satisfaction for the Relationship between Self-Directed Learning Abilities and Elearning Outcomes” by Chang and Siew (2024), examines how Self-Directed Learning (SDL) abilities influence e-learning outcomes. Core SDL principles include self-motivation, goal-setting, active planning, and self-evaluation. The research evaluated various elearning outcomes, such as enhanced learning, empowerment, time-saving, and academic success. The study found that students with higher levels of SDL, including self-efficacy, social interaction, and online readiness, tend to experience greater satisfaction and success with elearning. Since online courses heavily depend on SDL, students lacking these skills may struggle in this environment. Building relationships and incorporating positive emotional interactions could improve learning outcomes, student participation, and academic achievement.

This peer-reviewed study is valuable for higher education instructors designing elearning experiences. It highlights the connection between SDL abilities and student satisfaction as predictors of elearning outcomes. This research is beneficial for educators aiming to foster motivation and engagement in virtual settings. Learners benefit most from well-structured learning environments that connect the relevance of the content to their personal and professional lives. For example, when professionals recognized the career development benefits of their coursework, they reported higher satisfaction with their elearning experiences. Chang and Siew (2024) emphasize that learning is most effective when educators promote self-guided, independent learning strategies that inspire students to become lifelong learners.

References  

Chang, W. C., & Siew, W. F. (2024). Exploring the Mediating Role of Student Satisfaction for the Relationship between Self-Directed Learning Abilities and Elearning Outcomes. Journal of Educators Online, 21(4).
https://research-ebsco-com.ezproxy.stfrancis.edu/linkprocessor/plink?id=83f10a8e-19c1-3d24-82b7-1ccf49635f81 

e-Learning Success: Measure, Assess, Improve 

This post is provided by guest blogger, Bianca Henderson, a graduate student at the University of St. Francis in Joliet, MS in Training and Development Program. 

In “How To Evaluate The Success Of An e-Learning Program: Setting Objectives And Assessing Outcomes,” Merchant (2023) emphasizes the importance of evaluating e-Learning programs to ensure they achieve educational goals and provide value. She outlines key steps for effective assessment: 1) Establish clear, measurable objectives aligned with organizational goals; 2) Analyze learner engagement through metrics such as completion rates and participation; 3) Assess learning outcomes using quizzes and assignments to measure knowledge retention; 4) Gather learner feedback via surveys to identify strengths and improvement areas; 5) Implement continuous improvement based on collected data to enhance the program. These steps help organizations create effective and engaging e-Learning experiences. 

This article presents a structured approach to evaluating e-Learning programs, making it a valuable resource. By outlining practical steps for assessment, the article serves as a guide for those seeking to enhance their e-Learning initiatives. HR professionals and training instructors will find the information relevant. The article could benefit from specific case studies or examples to illustrate the application of these steps in real-world scenarios.  

Category: Assessment & Evaluation, e-Learning, Teaching Strategies 

Reference:  

Merchant, N. (2023, September 25). How to evaluate the success of an eLearning program: Setting objectives and assessing outcomes. eLearning Industry. https://elearningindustry.com/how-to-evaluate-the-success-of-elearning-program-setting-objectives-assessing-outcomes 

The Incorporation of Gamification into Instructional Design Strategies

The Incorporation of Gamification into Instructional Design Strategies

This post is provided by guest blogger, Gerald Edwards Jr., graduate student University of St. Francis, MS Training and Development program.

The emergence of e-learning tools is enhancing the training practitioner’s approach to instructional design (ID) and the implementation of effective teaching strategies in training and educational program construction. As technologies evolve the approach to the use of these technological tools also needs to evolve. There are several newer technologies that can be applied to the online, e-learning environment. These tools should be considered for use as part of functional teaching strategies and incorporated into the instructional design process. One of these e-learning technologies is gamification.

The article “Integrating gamification and instructional design to enhance usability of online learning”, Ghai & Tandon (2023), explores research into the idea of using the instructional design process as a method to tailor gamification, as an e-learning tool, to specific educational and training environments. By using parameters that are established for a particular learning proposal, as part of the instructional design process, gamification becomes a useful part of effective teaching strategies. Leaning outcomes, using a restrained, purposeful approach to the implementation of gamification as a teaching tool, have exhibited a positive correlation when this technology is incorporated into a training program’s teaching methodologies. This information is directed towards educators and instructional designers with the premise of encouraging them to use gamification as an effective information delivery tool.

Category: E-Learning, Gaming, Instructional Design/Program Development, Teaching Strategies

Reference:

Ghai, A. & Tandon, U. (2023). Integrating gamification and instructional design to enhance usability of online learning. Education and Information Technologies, 28, 2187-2206. https://doi.org/10.1007/s10639-022-11202-5

Winning Models for Effective Learning 

This post is provided by guest blogger, Bianca Henderson, a graduate student at the University of St. Francis in Joliet, MS in Training and Development Program. 

In the article “8 Effective Instructional Design Models in 2025,” Gupta (2024) reviews eight well known instructional design models that guide the creation of engaging educational content. Key models include the ADDIE framework, which emphasizes analysis, design, development, implementation, and evaluation; Bloom’s Taxonomy, which categorizes learning objectives; and Merrill’s Principles of Instruction, focusing on real-world relevance. Other models include Gagne’s Nine Events of Instruction, the Dick and Carey Model, the Kemp Design Model, Action Mapping by Cathy Moore, and the SAM Model. Each framework offers unique strategies to enhance training effectiveness and learner performance.  

Gupta’s article “8 Effective Instructional Design Models in 2025” (2024) serves as a valuable resource. By outlining well established models, it offers insights into diverse approaches to improve learner engagement and performance. This information would particularly interest instructional design students and corporate trainers looking for effective strategies to implement in their programs.  

Category: Instructional Design, Teaching Strategies, E-Learning 

Reference: Gupta, D. (2024, December 17). 8 effective instructional design models in 2025. Whatfix. https://whatfix.com/blog/instructional-design-models/ 

Enhancing Engagement in Virtual Synchronous Classrooms

This post is provided by guest blogger, Rachel Dobrich Ruffetti, a graduate student at the University of St. Francis in Joliet, working towards the Talent Development Certificate.

The article, “Identifying Pedagogical Design and Implementation of Synchronous Virtual Classrooms” by Karabey and Karaman (2024), analyzes 53 instructional activities categorized into 11 themes based on Robert M. Gagne’s teaching framework. The study evaluates technical and environmental control, clarity, introductory activities, technological tools, course materials, interaction, feedback, time management, summarization, and self-assessment. It emphasizes how these themes enhance cognitive processing, student engagement, and instructional effectiveness. Recommendations include optimizing technology use, minimizing distractions, fostering interaction through collaboration tools, summarizing key points, providing timely feedback, and managing time efficiently. Implementing these recommendations can improve virtual learning experiences by making lessons more structured, engaging, and effective.

This peer-reviewed study is valuable for higher education instructors designing synchronous virtual courses. It offers research-supported recommendations to enhance student engagement and instructional quality. By integrating interactive tools, instructors provide opportunities for students to engage directly with learning materials. They can utilize these platforms to provide meaningful feedback and tailor instruction to students’ unique needs. As technology advances, educators must refine their virtual teaching strategies to remain effective. These efforts will create inclusive learning environments that enhance participation, interaction, convenience, and efficiency. Karabey and Karaman’s compilation of activities and applications provides a practical guide for instructors to conduct virtual classrooms effectively. 

References

Sinem Cilligol Karabey, & Selcuk Karaman. (2024). Identifying pedagogical design and implementation of synchronous virtual classrooms. International Review of Research in Open and Distributed Learning, 25(2), 132–154. https://research-ebsco-com.ezproxy.stfrancis.edu/linkprocessor/plink?id=6bb4edba-b6f3-3c25-9aa6-60cfbcf9df09 

The Importance of Student Management in E-learning Environments

This post is provided by guest blogger, Gerald Edwards Jr., graduate student University of St. Francis, MS Training and Development program.

The emergence of e-learning as a streamlined education and training platform has created the need for the development of management and support methodologies. As more learning institutions and organizations include digital learning platforms as part of their normal learning environments, the need to manage the platforms and support the stakeholders exists. This includes providing a framework for assessing both the technology itself as well as its effects on a variety of areas including development, training, students, the organization, and other participants. In the area of student achievement, managing the student’s experience becomes an important part of student success.

The article “Managing university e-learning environments and academic achievement in the United Arab Emirates: An instructor and student perspective”, Fernandez et al., (2022) explores the effect of different e-learning student management approaches on student outcomes. The research focuses on how to enhance students’ e-learning experiences and academic achievement using an integrated student management approach. It utilizes literature reviews of previous research and expands on these findings. The findings suggest that using an e-learning approach that engages both the student and the instructor in meaningful ways positively affects student achievement. The importance of taking into consideration the entirety of the students’ needs is a key finding of the research. This information is useful for university leaders and instructors when considering the success of their e-learning programs.

Category: E-learning, Instructional Design/Development, Teaching Strategies

Reference:

Fernandez, A.I., Radaideh, A., Sisodia, G., Mathew, A., Jimber del Río, J. A. (2022). Managing university e-learning environments and academic achievement in the United Arab Emirates An instructor and student perspective. PLoS ONE, 17(5). https://doi.org/10.1371/journal.pone.0268338

Effective Strategies for Instructional Design

This post is provided by guest blogger, Hailey Kaddatz, graduate student at the University of St. Francis in Joliet, MS in Talent Development program.

Trif-Boia (2022) introduces techniques for concept design that increase success on training. We emphasize understanding the learner’s needs. Setting clear goals is essential. Finally, we suggest using a variety of teaching methods. The resource also stresses the importance of facilitating feedback and assessment in learning processes. In this way, teaching will not only be enjoyable to the learner, but right on target too.

Trif-Boia (2022) is on target, adopting recognized instructional design and teaching strategies. It is helpful not only for educators but also for those involved in the development of curriculum. In particular, it is important for those who want to adjust their teaching approaches. They want their learners to reach a better self.

Reference:
Trif-Boia, A. E. (2022, December). Instructional design in education. IJAEDU- International E-Journal of Advances in Education, (VIII) 24. http://ijaedu.ocerintjournals.org/en/download/article-file/2770833

Assessing Student Learning – Insight into Impact

This post is provided by guest blogger, Lynn Urban, graduate student at the University of St. Francis in Joliet, MS in Training and Development program.

Educators put time and energy into preparing lessons, but the work does not end once class is over.  It is essential to evaluate student learning, ensuring information provides intended impact.  Especially in the online learning environment, instructors cannot rely upon in-person interaction, and should explore the use of online assessment tools.  Content creator, Helen Colman (2024) provides methods to assess student learning, while sharing eLearning insights and teaching strategies.  “Online assessments are a critical part of eLearning and should be undertaken with the same level of care and rigor that you put into creating your other learning content.” (Colman, 2024). 

I recommend this article for instructors seeking the latest information about online assessment tools.  The article is organized and provides a fresh look at modern methods and software.  The author shows eLearning knowledge, but does not push readers away with heavy technical terms.  Images provide helpful descriptions pointing out the simplicity, usefulness, and outcome of various tools.  While the article references iSpring Suite as a vendor to provide online courses and assessments, the information is helpful whether pursuing the vendor or not.  There are many options, and readers will surely gain insight into the impact of assessments for online learning.

Reference

Colman, H. (2024, January 16). 9 Ways to Assess Student Learning Online. iSpring Solutions. https://www.ispringsolutions.com/blog/8-ways-to-assess-online-student-learning

Self-Regulated Learning in Online Education Using AI

This post is provided by guest blogger, Erica LoBurgio, graduate student University of St. Francis, MS Training and Development Program.

In this article Supporting students’ self-regulated learning in online learning using artificial intelligence applications, authored by Yannis Vovides, Sara Sanchez-Alonso, Vasiliki Mitropoulou, and Gwendoline Nickmans, published in 2023 in the International Journal of Educational Technology in Higher Education, studies how the use of artificial intelligence can improve students in self-regulated learning during their online education. The article explains how utilizing artificial intelligence’s adaptive learning patterns, emotional assistance to students, and personalized responses help as tools and techniques required for the student’s needs.

The article delivers the importance of utilization of artificial intelligence for learning environments. There is a study that explains combined teacher support and constructed feedback, and the importance of it for the student. Specifically, learning outcomes in the online environments which help to assist the students in management of their learning processes more effectively.

Vovides, Y., Sanchez-Alonso, S., Mitropoulou, V., & Nickmans, G. (2023). Supporting students’ self-regulated learning in online learning using artificial intelligence applications. International Journal of Educational Technology in Higher Education. Retrieved from https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00314-9

Mystery and History of Instructional Design

This post is provided by guest blogger, Lynn Urban, graduate student at the University of St. Francis in Joliet, MS in Training and Development program.

Instructional Design (ID) in Higher Education often holds a mysterious existence for students and educators accustomed to traditional learning.  To uncover mystery, it’s helpful to look back and understand how ID became part of what we now know as “e-learning” teaching strategies.  Sharon O’Malley (2017) points to a time in military training where the practice emerged during World War II, “when the military assembled groups of psychologists and academics to create training and assessment materials for troops”. (O’Malley, 2017).  The author traces ID over decades, landing on the popularity of online courses and remote learning infiltration to higher education practices.  

I recommend this article for anyone interested in beginnings of instructional design, and the journey to gain acceptance in higher education. The article is from 2017, when there was still mystery surrounding the field. While written pre-pandemic (and much has developed since that time), the references to ID entering higher education are relevant.  Providing quotes and backgrounds of students and educators, readers can glimpse online technology being new and adaptation being slow.  Post-pandemic we see that ID has taken a larger space in education, but there is value to understanding history behind technology – to appreciate how far we have come.

Reference

O’Malley, S. (2017, August). Still a mystery. Inside Higher Ed.com. https://www.insidehighered.com/digital-learning/article/2017/08/02/what-do-instructional-designers-do