Evaluating learning outcomes of an asynchronous online discussion assignment: a post-priori content analysis

ABSTRACT Use of learning management systems is prevalent across the continuum of education formats (online, blended, face-to-face). Specific asynchronous tools such as the discussion board are effective for student–instructor and student–student communication [Calderon, Ginsberg, and Ciabocchi (2012); Jorczak, R. L., & Dupuis, D. N. (2014). Differences in classroom versus online exam performance due to asynchronous discussion. Journal of Asynchronous Learning Networks, 18(2), 67–75; Lane, L. M. (2014). Constructing the past online: Discussion board as history Lab. History Teacher, 47(2), 197–207. Retrieved from https://eric.ed.gov/?redir=http://www.societyforhistoryeducation.org%2fpdfs%2fF14_Lane.pdf]. However, designing learning assignments that optimize the educational value of web-based tools requires a careful consideration of strategies to evaluate students’ learning outcomes. To date, there is a lack of systematic analysis that focuses on identifying learning evaluation dimensions beyond the traditional strategies to evaluate written assignments or face-to-face communication. Previous work includes a-priori parameters or instrumental dimensions such as critical thinking [Lai, K. (2012). Assessing participation skills: Online discussions with peers. Assessment & Evaluation in Higher Education, 37(8), 933–947. doi:10.1080/02602938.2011.590878] or length of communication [Brooks, C. F., & Bippus, A. M. (2012). Underscoring the social nature of classrooms by examining the amount of virtual talk across online and blended college courses. European Journal of Open, Distance and E-Learning. Retrieved from http://www.eurodl.org/materials/contrib/2012/Brooks_Bippus.pdf]. This study utilized a post- priori analysis of students’ responses to an online discussion board assignment in a graduate course to identify organically emerging indicators of learning that occur when completing such assignments, thus capturing learning outcomes that are unique to an online group discussion assignment. Three dimensions of learning emerged: contextual (accuracy and sophistication of response content); inter-personal communication (quality of peer-to-peer interaction); meta-learning (reflections on the assignment and the learning process). These can serve as parameters for evaluating educational outcomes unique to the online environment.

[1]  Michelle Wl Fong,et al.  Student Attitudes to Traditional and Online Methods of Delivery , 2014, J. Inf. Technol. Educ. Res..

[2]  A. Mathews,et al.  Using Blackboard to Increase Student Learning and Assessment Outcomes in a Congressional Simulation , 2013 .

[3]  Tanya McGill,et al.  The effect of assessment on the outcomes of asynchronous online discussion as perceived by instructors , 2009 .

[4]  James Daniel Lehman,et al.  The development of a content analysis model for assessing students’ cognitive learning in asynchronous online discussions , 2011 .

[5]  Karyn Lai Assessing participation skills: online discussions with peers , 2012 .

[6]  I. E. Allen,et al.  Online Report Card: Tracking Online Education in the United States. , 2016 .

[7]  Fengfeng Ke,et al.  Online interaction arrangements on quality of online interactions performed by diverse learners across disciplines , 2013, Internet High. Educ..

[8]  I. E. Allen,et al.  Changing Course: Ten Years of Tracking Online Education in the United States. , 2013 .

[9]  D. Randy Garrison,et al.  Blended Learning in Higher Education: Framework, Priciples and Guidlines , 2007 .

[10]  Robert L. Jorczak,et al.  Differences in Classroom versus Online Exam Performance Due to Asynchronous Discussion. , 2014 .

[11]  S. Demetriou,et al.  Exploring Factors Influencing Collaborative Knowledge Construction in Online Discussions: Student Facilitation and Quality of Initial Postings , 2014 .

[13]  Alfred P. Rovai,et al.  The Classroom and School Community Inventory: Development, refinement, and validation of a self-report measure for educational research , 2004, Internet High. Educ..

[14]  A. P. Rovai Development of an instrument to measure classroom community , 2002, Internet High. Educ..

[15]  Mary P. Lahman,et al.  Online Discussion, Student Engagement, and Critical Thinking , 2011 .

[16]  Barbara Means,et al.  Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies , 2009 .

[17]  J. Creswell Qualitative inquiry and research design: Choosing among five approaches, 2nd ed. , 2007 .

[18]  Orly Calderon,et al.  Multidimensional Assessment of Blended Learning: Maximizing Program Effectiveness Based on Faculty and Student Feedback , 2012 .

[19]  D. Randy Garrison,et al.  The first decade of the community of inquiry framework: A retrospective , 2010, Internet High. Educ..

[20]  Orly Calderon Preferred Features of Course Management Systems in Post Secondary and Corporate Online Learning , 2013 .

[21]  Vanessa L. Wyss,et al.  The Development of a Discussion Rubric for Online Courses: Standardizing Expectations of Graduate Students in Online Scholarly Discussions , 2014 .

[22]  Amy Patraka Ginsberg,et al.  Multidimensional Assessment of Pilot Blended Learning Programs: Maximizing Program Effectiveness Based on Student and Faculty Feedback , 2012 .

[23]  Orly Calderon Direct and Indirect Measures of Learning Outcomes in an MSW Program: What Do We Actually Measure? , 2013 .

[24]  Catherine F. Brooks,et al.  Underscoring the Social Nature of Classrooms by Examining the Amount of Virtual Talk across Online and Blended College Courses , 2012 .

[25]  Zehra Akyol,et al.  Assessing metacognition in an online community of inquiry , 2011, Internet High. Educ..