Online Learning for Higher Education to Enhance Access, Student Experiences, and Course Outcomes

Autores/as

  • Monika Sikand Bronx Community College, City University of New York

DOI:

https://doi.org/10.55420/2693.9193.v8.n1.253

Palabras clave:

online learning, pedagogy, assessment

Resumen

This paper presents a pedagogical approach and assessment of student performance in a Stellar Astronomy course taught in an online class section and a traditional class section at the Bronx Community College of the City University of New York. The two-year Associate in Arts and Sciences degree program at Bronx Community College offers an astronomy course to fulfill the core science course requirement. The use of an online learning environment in Astronomy for the core science course requirement offers many advantages for students, especially for working students, to enhance their science learning experience. The use of smart technology for a quicker assessment of students’ performances in promptly graded weekly submissions and access to technology-rich Smartwork Astro tours, Astro dictionary, and Nebraska simulations overcomes the various pedagogical challenges of face-to-face classroom settings. Access to online learning allows more students to be reached within a limited time as well as the maintenance of detailed records of student interactions, weekly submissions, and the comprehensive assessment of student performance. Online learning access for a core science course requirement in undergraduate education mitigates barriers to higher education, encourages student-centered learning, and advances teaching in the digital age of the 21st century.

Métricas

Cargando métricas ...

Biografía del autor/a

Monika Sikand, Bronx Community College, City University of New York



Citas

Allen, I. E., & Seaman, J. (2013). Changing course: Ten years of tracking online education in the United States. Sloan Consortium. PO Box 1238, Newburyport, MA 01950. Anshari M., Alas Y., Yunus N., Sabtu N. I., & Hamid M. H. (2016). Online learning: Trends, issues, and challenges in the Big Data era. Journal of e-Learning and Knowledge Society, 12(1), 121-134.

Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417-444.

Center for Community College Student Engagement. (2012). A matter of degrees: Promising practices for community college student success (a first look). Austin, TX: The University of Texas at Austin, Community College Leadership Program.

Dresel, M. & Rindermann, H. (2011). Counseling university instructors based on student evaluations of their teaching effectiveness: A multilevel test of its effectiveness under consideration of bias and unfairness variables. Research in Higher Education, 52(7), 717- 737.

Goldrick-Rab, S. (2012). Challenges and opportunities for improving community college student success. Review of Educational Research, 80(3), 437-469.

Kay, L., Palen, S., & Blumenthal, G. (2016). 21st century astronomy. WW Norton Publishers. Kim, K., & Bonk, C. J. (2006). The future of online teaching and learning in higher education: The survey says ... A survey substantiates some ideas about online learning and refutes

others. Educause Quarterly, 4.

Lally, V. & Wallington, J. (2002). Enticing e-learning. The Times Educational Supplement, 23. Mendoza, P., Mendez, J. P., & Malcolm, Z. (2009). Financial aid and persistence in community colleges: Assessing the effectiveness of federal and state financial aid programs in Oklahoma. Community College Review, 37(2), 112-135.

Newell, C. C. (2007). Learner characteristics as predictors of online course completion among nontraditional technical college students. (Doctoral dissertation, University of Georgia).

Pelz, B. (2004). (My) three principles of effective online pedagogy. Journal of Asynchronous Learning Networks, 8, (3).

Rajasekhara, K., & Hirsch, T. (2000). Retention and its impact on institutional effectiveness at a large urban community college. Baltimore Community Coll., MD. Presented at 40th Association for Institutional Research (AIR) Annual Forum Cincinnati, Ohio. Rausch, D. & Crawford, E. K. (2012). Cohorts, communities of inquiry, and course delivery methods: UTC best practices in learning—the hybrid learning community model. The Journal of Continuing Higher Education, 60, 175-180.

The Hanover Research Council. (2009). Best practices in online teaching strategies. Retrieved from https://www.etsu.edu/cas/litlang/composition/documents/best-practices-in-online-teaching-strategies-membership.pdf

U.S. Department of Education, Office of Educational Technology. (2012). Understanding the implications of online learning for educational productivity. Washington, D.C. Wichadee, S. (2013). Facilitating students’ learning with hybrid instruction: A comparison among four learning styles. Electronic Journal of Research in Educational Psychology, 11(1), 99-116.

Wieman, C. E. (2017). Improving how universities teach science: Lessons from the science education initiative. Harvard University Press.

York, C. S. & Richardson, J. C. (2012). Interpersonal interaction in online learning: Experienced online instructors’ perceptions of influencing factors. Journal of Asynchronous Learning Networks, 16(4), 83-98.

Descargas

Publicado

2017-11-30

Cómo citar

Sikand, M. (2017). Online Learning for Higher Education to Enhance Access, Student Experiences, and Course Outcomes. HETS Online Journal, 8(1), 119-135. https://doi.org/10.55420/2693.9193.v8.n1.253

Número

Sección

Articles