Student Perceptions of Blended Learning with Open Educational Resources
Conference:
ECER 2015
Format:
Paper

Session Information

16 SES 09 A, Blended Learning

Paper Session

Time:
2015-09-10
11:00-12:30
Room:
3005. [Main]
Chair:
Prudencia Gutiérrez-Esteban

Contribution

Blended learning describes learning that mixes various event-based activities, including face-to-face classrooms, live e-learning, and self-paced learning (Valiathan, 2002). Specifically, blended learning as used in this study is the combination of a face-to-face (F2F) campus-based course, a web-based course and the use of the digital learning platform on campus.  

Previous research has found that student perceptions of the key factors in a learning environment are closely related to the quality of their learning experience (Entwistle & Ramsden, 1983; Ginns & Ellis, 2009; Ramsden, 1991, 2002). Evaluation of blended learning is no easy job as it often involves both F2F and online environment. Ginns and Ellis (2007) suggested focusing on keys factors in the online environment that affect students’ experience of how online learning support their F2F learning.  DeLone and McLean (2003) propose an updated Model of Information System Success (ISS) based on the first ISS model in 1992. An information system can be evaluated in terms of its information, system and service quality; these characteristics will affect subsequent use or intention to use and user satisfaction. Certain benefits can be achieved through the using of the system and, in turn, the benefits achieved will influence user satisfaction and the further use of the system.

Online learning can be regarded as an information system (Lee & Lee, 2008).Therefore, the updated ISS model can be adopted to measure student online learning experience. Online course is the information produced by the system and the quality of online course will affect student perceptions of blended learning experience. System quality refers to the perceived usefulness and ease of use of the system, which are represented by the perceived value of online course and online learning flexibility in this blended learning model.  Web-based learning allows students more flexibility in terms of the sequence, pace and amount and content of learning. Students gain greater control of their learning in an online learning environment. In a web-based learning environment, students interact with other course participants to get support and help while learning the online course. Therefore, the opportunities for interpersonal interaction determines the service quality in the system.

Student approach to learning is another important factor closely associated with their perceptions of learning experience (Ginns & Ellis, 2007). Self-regulated learning refers to ‘a constructive process whereby learners set goals for their learning and then attempt to monitor, regulate, and control their cognition, motivation, and behavior, guided and constrained by their goals and the contextual features of the environment’ (Pintrich 2000, p. 453). Individual differences in learning outcome can be explained by their difference in self-regulated learning ability (Shea & Bidjerano, 2012).

 

Another set of variables that has been found to impact user satisfaction and user behavior is individual characteristics.  Self-efficacy is a concept that has often been discussed with regard to individual attributes. It describes the effects and possibility of success for performing a task (Marakas, Yi, & Johnson, 1998). Web-based learning requires students to use the internet to perform various kinds of learning activities. Wang & Newline (2002) found students with higher Internet self-efficacy are more likely to adopt web-based learning and get significantly better final grades.

 

This study addresses the following research questions:

  1. What are student perceptions of the blended learning experience of integrating externally developed online course with campus-based course?
  2. How do system characteristics including quality of online course, flexibility of online learning, and perceived value of online course as well as opportunity for interpersonal interaction correlate with student perceptions of blended learning experience?
  3. How do students’ self-regulated learning ability affect their perceptions of blended learning experience?

Method

This study was conducted in a Belgian university between October 1, 2014 and February 1, 2015. Two free online courses developed by other institutions were selected and blended with two campus-based courses for students enrolled in two different program of educational sciences. A four-week Massive Open Online Course (MOOC) offered by the MOOC platform of Open2Study was blended with a campus-based course offered to English master program students. Another self-paced online course created by the Open University (UK) was incorporated with another campus-based for students enrolled in the Dutch undergraduate program as well as those in the English master program. The web-based courses are stand-alone courses that run parallel to the campus-based. Students attend the campus-based course as usual and learn the web-based courses at other times after school. They need to complete some coursework for the online course and upload it on the digital learning platform on campus for evaluation. At end of the semester, two questionnaire are administered online. One questionnaire is to gather information about student perceptions of their blended learning experience and the other one is to measure their self-regulated learning ability in online environment. The blended learning experience questionnaire is based on prior studies of online and blended learning satisfaction. To measure students’ self-regulated learning, a shorter version of Motivated Strategies for Learning Questionnaire is used. In a traditional blended course, the campus instructor is also responsible for the design of online learning. In a blended course design using existing online content, however, the designer of online learning is a third party other than the campus instructor. In such blended courses, the campus instructor needs to consider how to blend the online and F2F learning activities.

Expected Outcomes

Emerging educational technologies enable teachers to modify their traditional teaching methods to better serve students’ needs and enhance their learning experience. When the concept of Open Educational Resources (OER) emerges, many advocates predict it would be a disruptive technology, which could spark great transformation in global education landscape. UNESCO (2012) has recognized the value of OER by arguing that they “provide a strategic opportunity to improve the quality of education as well as facilitate policy dialogue, knowledge sharing and capacity building.” OER show the promise for educating more people and lowering cost for higher educational institutions. Despite the great potential OER as an innovative technology might bring into the field of education, its use in higher education is quite low (OPAL, 2010). There have been numerous calls for research that demonstrates how open education resources are actually being used (Schmidt-Jones, 2012). The present study seek to address the gap in the literature relating to OER integration with on campus instruction in higher education. Some research efforts have been made in integrating open online content with on campus courses. Bruff et al. (2013) reports the use of a Stanford University Machine Learning MOOC to flip an on campus machine learning course at Vanderbilt University. In another study, Griffiths et al. (2014) investigate how faculty can take advantage of existing online content to redesign their courses and whether hybrid model is more efficient compared with traditional learning model. However, the setting of both studies is in North America. The study described in this paper seeks to add a European perspective to the body of knowledge in this field.

References

Bruff, D. O., FIsher, D. H., McEwen, K. E., & Smith, B. E. (2013). Wrapping a MOOC: Student perceptions of an experiment in blended learning. MERLOT Journal of Online Learning and Teaching, 9(2), 187-199. Retrieved from http://jolt.merlot.org. DeLone, W.H., McLean, E.R. (2003). The DeLone and McLean Model of Information Systems Success: A ten-Year Update. Journal of Management Information Systems 19(4), 9–30. Entwistle, N., & Ramsden, P. (1983). Understanding student learning. London: Croom Helm. Ginns, P., & Ellis, R. (2007). Quality in blended learning: Exploring the relations between on-line and face-to-face teaching and learning. Internet and Higher Education, 10, 53-64. Lee, J.-K., & Lee, W.-K. (2008). The relationship of e-Learner’s self-regulatory efficacy and perception of e-Learning environmental quality. Computers in HumanBehavior, 24, 32–47. Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of Computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information System Research, 9(2), 126–163. OPAL (2010). ‘Open Educational Quality Initiative (OPAL) Final report: Public part.’ Retrieved January 11, 2015 from http://eacea.ec.europa.eu/llp/projects/public_parts/documents/ict/2009/mp_504893_ict_FR_opal.pdf. Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego: Academic Press. Ramsden, P. (1991). A performance indicator of teaching quality in higher education: The Course Experience Questionnaire. Studies in Higher Education, 16, 129−150. Schmidt-Jones, Catherine Anne. (2012). An Open Educational Resource Supports a Diversity of Inquiry-Based Learning. The International Review of Research in Open and Distance Learning,13(1), 1-16. Wang, A. Y., & Newlin, M. H. (2002). Predictors of web-student performance: the role of self-efficacy and reasons for taking an on-line class. Computers in Human Behavior, 18, 151–163. UNESCO (2012). Access to Knowledge: Open Educational Resources. Retrieved June 11, 2014 from http://www.unesco.org/new/en/communication-and- information/access-to-knowledge/open-educational resources/. Valiathan, P. (2002). Blended learning models. Learning Circuits. Retrieved January 11, 2015, from www.learningcircuits.org/2002/aug2002/valiathan.html Shea, P. & Bidjerano, T. (2012). Learning Presence As A Moderator In The Community Of Inquiry Model. Computers and Education, 59(2), 316–326.

Author Information

Shihua Li (presenting / submitting)
1.Vrije Universiteit Brussel, Belgium;2. Xidian University
1. Department of Educational Sciences;2. School of Foreign Languages
Xi'an
Xidian University, China
Xidian University, China
Xidian University, China
Xidian University, China

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