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Analytic Outline of Data: Results of a Recursive Relationship Between the Data and the Analytic Processes This section will present an overview of the results of the analytic process relative to how the data were categorized and organized. This provides an
excellent insight into the nature of the interaction and the educational experience as a whole. These results reflect an integrated relationship between the data analysis processes and the findings. Both of these were
constantly informing the other. At the outset the attempt was to bound the data analysis by using theory to build a system of analytic bins (Miles & Huberman, 1994) in which to sort the huge amount of
online data expected. A major component of the analysis of the online data was this complex categorization process. These bins did help, and the theoretical principles of constructivism did keep the whole process on
target for the most part; but there were many significant emerging insights as an outcome of going through the processes of data analysis. The results of the categorization of the data reflect changes in the structure
of the analytic bin system, in terminology, and in discriminating factors. The most important changes involved the restructuring of the analytic categorical structure, which affected the way the data could
be viewed; thus, affecting the emergence of particular insights, and the way that the data could be linked to constructivist principles. The analytic processes were recursive, and involved a dynamic, ongoing
relationship between the organization of data and the actual analysis of data. The analytic process of sorting through and organizing the data continually stimulated insights in many areas, that included: (a)
technology-mediated communication, (b) online learning communities, (c) graduate student behavior in online courses (particularly educators), (d) and methodological issues. The first interesting result of
several readings of various sections of the online course was a list of "constructivist activity" that was evident in the students' online interaction. These categories were mostly aligned with the original bins. The
following list of "Online Constructivist Activities" (researcher's title) emerged:
(1) internal negotiation ("voiced" to be explained on p. 153) (Jonassen et al., 1995) (2) social negotiation (Jonassen et al., 1995; Rorty, 1991; Wertsch, 1991)
(3) knowledge sharing (Rorty, 1991; Elias & Merriam, 1980) (4) story sharing (personal and professional, as part of community-building) (Rorty, 1991) (5) community of learners:
mentoring, tutoring, helping (Lave & Wenger, 1991; Rorty, 1991; Rogoff, 1994) (6) community of professionals: feedback, critique (Lave & Wenger, 1991; Rogoff, 1994)
(7) metacognition (Flavell, 1976; McCombs, 1991; Ridley et al., 1992) (8) reflection (Jonassen et al., 1995; Ridley, 1991)
(9) philosophizing articulation of ideas, opinions, etc. (Jonassen et al., 1995) 10) community-building (peer-empathy, social interaction, etc.) (Jonassen, 1992; Rogoff, 1990)
After a few readings and many analytic memos, it became clear that there were larger themes in operation, and that a better approach to categorizing this large volume of data was to allow some kind of
"meta-categories" to emerge. Once this idea of a higher level of structure began to take root, the meta-categories became obvious fairly quickly. The analytic memos provided a strong case for a division of the many
analytic bins into three main meta-categories: Personal, Social, and Professional. At first, "social" was termed "community" but it was soon changed, because under the professional category there was the concept of a
"community of practitioners" who were discussing and articulating ideas about their profession. Also, the concept of "social" was very prevalent and a more encompassing term than "community."
The students were communicating under these three "roles":
- Personal: As an individual a student, a learner, and/or a human.
- Social: As a member of a group (non-professional) a citizen, a member of
this online community of learners, a family member, and so on.
- Professional: As a professional educator, a practitioner in a community of
practitioners both online and in their respective school environments.
This provided a valuable approach to further analyses and assisted in the arduous task of pulling it all together. Clearly, this was an outstanding breakthrough for this researcher. It provided a
"meta-categorical structure" that unified many themes in a more manageable way. It helped to more effectively look at important components of constructivist learning principles. An example of this is the
component, reflection. This behavior is an important constructivist concept (Jonassen et al., 1995) that appeared across all of the course's "items." Reflection was occurring everywhere, but in a myriad of different
ways. This system helped to clarify the purpose of the reflection:
- personal reflection on personal issues,
- social reflection on issues of family or as a learner in this experience or as a
citizen, and
- professional reflection on issues concerning professional development and the community of practitioners.
This is just one example of the value of these categories. Further analyses became much more streamlined and the complexity was diminished. The bigger picture of what was occurring in this online
environment became much more illuminated. Overall, the meta-categories helped to funnel the data into these "meta-bins" by distinguishing among the purposes of the communication. The end result was a
system of organizing the data analytically which in itself is a reflection of the nature of the online interaction, the overall educational experience, and constructivist principles in operation. So, after
the meta-categories began to emerge, they began to yield this kind of analytical separation that follows. This first outline reflects "how the data was falling into these categories." After this will be an outline of
the "final categorization system." Note that the original "analytic bins" are still here: some appear more than once, some have been sub-divided, and only one was lost in the transformation knowledge construction. It
became apparent that knowledge construction is an immeasurable by-product of all of these behaviors and would perhaps best be measured by traditional testing, surveys, or interviews. Mere observation of the online
interaction could not substantiate the actual mental activity of constructing knowledge. The following is the way that the data was organized into large groups when using these meta-categories (note that
many things, such as reflection, can be under all three):
1. Personal:
- feelings: venting, emotional expression (positive & negative)
- self-reflection: relating to self (I, me, etc.), self-description, self-analysis, self-evaluation (can include personal declaration like "I will survive!")
- metacognition: examining one's own personal learning experience; describing how one learns (preferences, style, and description of processes)
- philosophizing: articulation of ideas, issues (personal issues, values, etc
)
- story-telling: personal stories (hard to distinguish between social & this)
2. Community / Social
- relating to others: peer empathy, group empathy, support, encouragement
- dialogue-connection: referring to another's response (agreeing or disagreeing; using someone's name e.g., "As Jane said
" or "I like Mike's idea
")
- group reflection: descriptive and evaluative reflections
- feedback; critique
- socializing: recreation, fun, and comments outside of academics
- politeness and manners (thanks, use of name, etc.)
- expression of "group" feelings (us, we, etc.)
- social negotiation of issues (e.g., course content, professional topics, etc.)
- metacognition: of the online process their experiencing, of the GROUP in general, in a "community-based" context
- philosophizing: articulation of group ideas, group issues, social values, etc
- story-telling: stories relating to online community, social situations, and other stories related to membership in a group (family, church, etc.)
3. Professional
- collaboration
- mentoring, tutoring, and problem-solving and offering solutions
- inquiry and exploration
- asking for help (technical, academic)
- demonstration and sharing of knowledge (technical, academic)
- share & discuss: content / info / resources / methods related to education field
- philosophizing: articulation of ideas, issues (academic, professional, etc.)
- story-telling: stories from the profession
- evaluative observations: comments on resources, academic methods, etc. with specific professional analysis on aspects of some academic topic or professional development topic
The following was the "final" outline of the analytic bin system that informed the construction of matrices, which was in turn used to categorize the data by response. (An example of a matrix is in
Appendix G. There is also an example of a "used" matrix, and a page of "raw data.") Here is the outline of the analytic bins, which served as the categorization mechanism (replacing the "original bins" described in
Chapter Three):
1. Personal: This was the student "speaking" as an individual (person, student, and learner).
(a) Self-Reflection (b) Self-Philosophizing (eventually merged into reflection and metacognition categories) (c) Metacognition ("Metacognitive
Description" evolved out of this category as another separate category: like a description of self-regulation)
2. Social: This was the student "speaking" as a group member (communicated to others as human, citizen, family member, member of online course).
- Pure socializing (fun, recreation, humor, etc.)
- Politeness & manners
- Sharing personal stories
- Peer & group empathy (Peer Encouragement evolved out of this)
- Articulation of ideas relative to Online experience
- Philosophizing on social values, issues ~ non-professional
- Discussion of issues such as "time," etc.
3. Professional: This was the student "speaking" as an educator (related to classmates as a practitioner and a professional on academic and professional development topics).
- Mentoring & tutoring
- Sharing resources & methods
- (a separate "Help" category emerged from both of these to find the places where students asked for help)
- Professional social-negotiation
- Reflection of professional topics & issues (self & group)
- Sharing stories & professional empathy (divided later into two separate sub-categories)
This analytic reorganization of the categories proved extremely valuable methodologically. For the reader, it helps to illuminate the overall nature of this online educational environment and of the
student activity. Building this meta-categorical structure also allowed a manageable framework to which constructivist principles could be linked. It also is a foundation for possible theory-building in future
investigations into online learning communities. |