K-12 online learning has grown dramatically the last decade. Despite its popularity among diverse parents and students (Beck, Maranto, & Egalite, 2014; Beck, Maranto, & Lo, 2014), it is becoming increasingly clear that this growth has occurred despite course completion rates and standardized test scores that are sometimes much lower than those found in face-to-face classrooms (Freidhoff, 2015; Miron, Gulosino, & Horvitz, 2015; Woodworth, Raymond, Chirbas, Gonzalez, Negassi, Snow, & Van Donge, 2015).Online learning can be especially challenging for new students because they “not only need to learn a subject online but need to learn how to learn online” (Lowes & Lin, 2015, p. 18). As a result, many students require a high level of support and interaction from online teachers, on-site facilitators/mentors, parents and peers (Borup, West, Graham, & Davies, 2014; Harms, Niederhauser, Davis, Roblyer, & Gilbert, 2006).However, there is a large variance in the level of student support that programs provide. Some online schools provide little more than a correspondence environment while other programs blend high levels of face-to-face and online support (Borup & Drysdale, 2014; Harms et al., 2006). Other programs provide only online support and rely on parents to facilitate students’ learning (Hasler Waters, Menchaca, & Borup, 2014). More research is needed regarding student support systems and interactions in online and blended learning environments. For this special issue of the Journal of Online Learning Research, the co-editors are seeking submissions that address this need.
Suggested topics related to K-12 online and blended student support systems and interactions include but are not limited to:
Program-provided and student-generated support systems
Teachers’ tutoring and formative feedback practices
Teacher online presence
Teacher-student communication
Parent-teacher communication and collaboration
Student-student communication, collaboration and tutoring
Student-system communication and collaboration
On-site facilitator/mentor practices and support models
Teacher-facilitator/mentor communication and collaboration
Parental engagement and involvement activities
Learning communities and social presence
Student needs and motivation
Parent outreach and support programs
On-site facilitator/mentor professional development
Support systems for vulnerable student populations (e.g., special education, at-risk, English language learners, racial minorities)
Blended learning models that emphasize student support
Qualitative, quantitative and mixed methods research articles are welcome. Research should be grounded in the existing literature and/or theoretical frameworks. Conceptual or theoretical articles will also be considered.
Please submit manuscripts directly through the AACE Publications submission link: http://publish.aace.org/?fuseaction=Authors.BeginSubmissionDo not send manuscripts to the Guest Editors. The manuscripts must go through a double-blind review process. Please note that contributors may also be requested to serve as reviewers for this project. Authors are encouraged to contact the Guest Editors to propose an idea for submission to ensure the appropriateness of the proposed study for this venue.
Deadline for Submissions: April 20, 2016 Authors informed of decisions: June 20, 2016 Anticipated special issue publication: November 2016
Dr. Jered Borup jborup@gmu.eduDr. Lisa Hasler Waters haslerwaters@gmail.comDr. Dennis Beck debeck@uark.edu
Beck, D., Jacobs, A. & Maranto, R. (2014).Why they choose and how it goes: Comparing special education and general education cyber student perceptions. Computers & Education, 76, 70-79.Beck, D. E., Maranto, R., & Lo, W. J. (2014). Determinants of student and parent satisfaction at a cyber charter school. The Journal of Educational Research, 107(3), 209-216.Borup, J., & Drysdale, J. S. (2014). On-site and online facilitators: Current and future direction for research. In R. Ferdig & K. Kennedy (Eds.), Handbook of research on K-12 online and blended learning (pp. 325–346). ETC Press. Retrieved from http://repository.cmu.edu/etcpress/28/Borup, J., West, R. E., Graham, C. R., & Davies, R. S. (2014). The Adolescent Community of Engagement: A framework for research on adolescent online learning. Journal of Technology and Teacher Education, 22(1), 107–129.Freidhoff, J. R. (2015). Michigan’s K-12 virtual learning effectiveness report 2013-2014. Lansing, MI: Michigan Virtual Learning Research Institute. Retrieved from https://media.mivu.org/institute/pdf/er_2014.pdfHarms, C. M., Niederhauser, D. S., Davis, N. E., Roblyer, M. D., & Gilbert, S. B. (2006). Educating educators for virtual schooling: Communicating roles and responsibilities. The Electronic Journal of Communication, 16(1 & 2). Retrieved from http://www.cios.org/EJCPUBLIC/016/1/01611.HTMLHasler Waters, L., Menchaca, M. P., & Borup, J. (2014). Parental involvement in K-12 online and blended learning. In R. E. Ferdig & K. Kennedy (Eds.), Handbook of research on K-12 online and blended learning (pp. 325–346). ETC Press. Retrieved from http://repository.cmu.edu/etcpress/28/Lowes, S., & Lin, P. (2015). Learning to learn online: Using locus of control to help students become successful online learners. Journal of Online Learning Research, 1(1), 17–48.Miron, G., Gulosino, C., & Horvitz, B. (2014). Section III: Full time virtual schools. In A. Molnar (Ed.), Virtual schools in the U.S. 2014 (pp. 55–73). Boulder, CO: National Education Policy Center. Retrieved from http://nepc.colorado.edu/files/virtual-2014-all-final.pdfWoodworth, J. L., Raymond, M. E., Chirbas, K., Gonzalez, M., Negassi, Y., Snow, W., & Van Donge, C. (2015). Online charter school study. Stanford, CA. Retrieved from https://credo.stanford.edu/pdfs/OnlineCharterStudyFinal2015.pdf
Coming Soon
Cuccolo & Green’s (2025) report highlighted the relationship between students’ assignment submission patterns and final course scores. Given that pacing has important implications for student performance, knowing what assignment submission patterns look like across schools with varying demographics could help prompt early identification and intervention. As such, this blog explores students’ assignment submission patterns based on school-level demographic information.
Explore how immersive VR simulations helped students step into real-world roles: from EMTs to chefs, all without leaving the classroom.
In this blog, MVLRI researchers synthesize the key findings from two research studies about student assignment submission patterns in Michigan Virtual online courses.
In this interview, MVLRI researchers discuss key findings from a report highlighting how personalized, consistent, and timely communication in online courses can help students feel more connected to their online teachers and may also impact their success in the course. This blog also explores practical strategies for communicating effectively and building relationships with online students.
This blog digs into the key findings from two MVLRI research studies exploring educator engagement with professional learning (PL), their beliefs about implementing what they’ve learned, and insights into continuing to tailor PL to meet educators’ needs.