Monday 16 April 2012

agin social presence - Annand

Annand, D. (2011)

Social Presence within the Community of Inquiry Framework

The International Review of Research in Open and Distance Learning, 12,5,

Abstract

Evidence is presented that questions the actual extent of knowledge co-construction that occurs in most higher education settings and therefore challenges the COI framework’s underlying assumption of the need for sustained, contiguous, two-way communication in higher-level online learning environments.

The CoI framework has evolved from the description of a learning process within a social constructivist paradigm to an empirically testable construct in an objectivist paradigm.

Introduction

In its original formulation, the three presences were represented as overlapping and interacting processes that determined the quality of the online learning experience.

Rourke and Kanuka (2009) critiqued the CoI framework. They concluded that the CoI framework is deficient as a means to develop deep and meaningful learning, as a model for online learning, and as a program of research.

Akyol et al. (2009) responded to the issues raised by Rourke and Kanuka (2009) by first stating that the CoI framework is primarily a process model focused on the educational transaction within a constructivist orientation, rather than an outcomes-based measure within an objectivist orientation. Indeed, measuring deep and meaningful learning as an outcome “does little to inform the teaching and learning process” (p. 131).

The purpose of this article is to raise additional concerns about the CoI framework and to support the position of Rourke and Kanuka, who argue that the framework, as it is popularly conceptualized, does not adequately inform the development of online education theory and practice. In particular, the influence of social presence on the learning experience within online higher education appears to be overstated.

The Question of Social Presence

The concept - Without group-based interaction, learners cannot create the common values, goals, and language necessary for effective learning to occur. The many-to-many types of interactions this connotes are operationalized primarily within the concept of social presence.

A progressive schema was proposed to illustrate social presence: initially, identification with the community, then purposeful communication within a trusting environment, and finally development of social relationships.

Shea and Bidjerano (2009b) noted that asynchronous group-based communications per se are insufficient to develop an effective community of inquiry, and this was the main point of Garrison and Cleveland-Innes (2005). However, the unexamined question is whether social presence and sustained, continuous, two-way communication (an integral component of it) is necessary at all to facilitate the development of higher-order cognitive presences and thence deep and meaningful learning. –

KRO the question here I suppose is when/how does peer-peer interaction benefit learning? ; DL would argue that it triggers reflection and adaptation on the part of the individual learner -provided that the learning design incorporates a requirement for the development of a shared artifact. Does the artifact externalize the learning? My argument is an additional one. That the student experience while learning includes an ongoing emotional component that influences the motivation to engage with the learning task and with peers during collaborative learning tasks and that emotional memory may well influence subsequent choices whether related to learning, work or other personal issues.

Careful reading of CoI-based research seems to indicate that students do not attach much value to the group-based influences of social presence. A few studies have found social presence to be beneficially linked to some aspects of higher education learning experiences. For instance, Boston et al. (2009) analyzed results of a survey administered to almost 29,000 undergraduate students enrolled in the American Public University System. They found that a small number of social presence indicators could significantly predict reenrollment patterns. But for the most part, support for the construct of social presence is limited at best.

Nagel and Kotze (2010) surveyed students in two courses. The amount of one-on-one time the instructor could provide was limited. However, the researchers still reported positive social, cognitive, and teaching effects, higher completion rates, and higher-category cognitive presences (such as integration and resolution). But the main technique that produced the observed effects was the one-on-one peer review, not group-based interaction.

Shea et al. (2010) used a quantitative content analysis of approximately 1,000 online interactions across two identical undergraduate business courses taught by different instructors to measure the extent of the three presences and their interactions. They concluded that their findings indicate a possible lack of correlation between social presence and learning, noting that,

several specific indicators of social presence are very difficult to interpret reliably. All of these issues indicate that the social presence construct is somewhat problematic and requires further articulation and clarification if it is to be of use to future researchers seeking to inform our understanding of online teaching and learning. (p. 17)

Ke (2010) conducted interviews, transcript analyses, and surveys with 16 adult learners. The purpose was to study the nature of and relationships among cognitive, social, and teaching presences reported by students and instructors. Adult learners preferred individual assignments and timely, encouraging, individualized feedback from instructors. Most respondents reported instances of deep learning but listed written assignments and direct instruction as the techniques that contributed most to these experiences. Students perceived online collaborative learning to be a “bonus” that was overemphasized. They considered it more useful for social purposes; also, it contributed to their learning by clarifying their own thoughts through the posting process rather than by enabling socially constructed learning. Motivations to participate were generally reported to be superficial and grade-driven.

KRO ? Highlights the need for students in HE to understand the learning process and also graduate competencies.

Shea and Bidjerano (2009a) found that the “vast majority” of students achieved higher-level cognitive presences (integration and resolution) but that this seemed to be the result of activities other than online discussion forums. They surmised that online discussions “initiated” thought rather than completed the cognition process, but they also noted that collaborations consisted not so much of knowledge construction related to course content but of more administrative activity focused on the completion of group assignments.

Gorsky, Caspi, and Smidt (2007) found that students tended to rely significantly on instructional material to learn, supplemented by limited but crucial dialogue with instructors—In a difficult course, Gorsky et al. argued, students are unable to help each other since most experience similar cognitive difficulties. In an easy course, interpersonal dialogue is perceived by learners to be unnecessary. . Gorsky et al. thus argued that the importance of interpersonal dialogue is overrated in practice and is context-dependent and that social learning theories generally tend to overstate the importance of group-based interaction in the learning process.

Shea and Bidjerano (2008) found that social presence does not predict learner satisfaction

KRO can do something with this based on the survey

and stated that prior research on factors similar to those measured by the CoI framework’s concept of social presence did not contribute to self-perceived or actual learning. These did positively correlate with perceptions of group interaction and instructor effectiveness, but the links from these intermediating variables to actual learning were not established.

Akyol and Garrison (2008) studied the progression of constituent parts of the three CoI presences over time in a group of 16 graduate students by coding about 500 discussion forum messages. Their study did not find any correlation between social presence and learning and reported that “only two presences (teaching and cognitive presence) showed a significant relationship with perceived learning and satisfaction” (p. 15).

Analysis of the CoI framework was significantly enhanced by the development of the practical inquiry model (PIM), a unified instrument with approximately 34 to 37 items that surveys students’ perceptions of their online learning experiences. The instrument was validated and refined in several studies (e.g., Shea, Li, & Pickett, 2006; Arbaugh, Bangert, & Cleveland-Innes, 2010; Arbaugh et al., 2008; Swan et al., 2008, Shea & Bidjerano, 2009a).

Diaz et al. (2010) administered the PIM survey to 413 graduate and undergraduate student volunteers at four US universities and colleges to determine learners’ perceptions of the three CoI presences, their interactions, and the relative importance of each PIM survey item. Items rated as relatively low in presence but high in importance indicated areas where students’ expectations and needs were not well met. In this study, social presence factors were rated as least important.

The PIM and its survey instrument also enabled more rigorous analysis of the relative effects of the three CoI presences. Shea and Bidjerano (2008) developed a structural equation model of self-perceived cognitive presence based on responses to a PIM survey from over 5,000 learners in dozens of US higher learning institutions that used a common learning management system and pedagogy. Their research made explicit the evolution of the CoI framework from one in which the three presences influence and interact to create the online learning experience (see Figure 1 above) to one in which teaching and social presences are hypothesized to causally affect cognitive presence, now considered the final measure of the online learning experience. Teaching presence is also considered to indirectly affect cognitive presence through its effect on social presence. These concepts are shown in Figure 2 below.

Results from structural equation modeling seem to corroborate that social presence has a relatively unimportant effect on the online learning experience.

Shea and Bidjerano (2009a) reported that students who experienced low social presence but high teaching presence still reported high cognitive presence and vice versa.

KRO Check the link between social presence indicators and the SP survey items

Shea and Bidjerano (2009b) found that three subcategories mostly identified with teaching presence explained about 67% of observed variance. Social presence factors predicted very little additional variance. Shea and Bidjerano also reported that appropriate course design reduced ambiguity and that this in turn appeared to make social presence factors less important.

Structural equation modeling conducted by Garrison, Cleveland-Innes, and Fung (2010) also raised interesting unanswered questions about the importance of social presence. Their data indicated that teaching presence predicted 51% of the observed cognitive presence effect, and social presence predicted 40% of the observed cognitive presence effect. However, teaching presence predicted 52% of the observed social presence effect. Taken together, the results suggest that teaching and social presences are highly correlated (see also Bangert, 2009). As a result, social presence may be either substantially produced by elements such as teaching presence, or it is an artifact of cognitive presence.

KRO Based on the pilot. Are comparisons between the tutors in the way they did, or did not, encourage social presence worth investigating. This will involve being more specific as to how tutors encourage social presence.

Shea and Bidjerano (2010) found that combined social and teaching presences predicted only a little better than 25% of cognitive presence. They proposed a fourth construct which they called “learner presence,” characterized as a combination of self-efficacy and individual effort. The combination of learning, teaching, and social presences predicted better than 75% of perceived cognitive presence in both blended and online learning environments. They proposed a revised version of the CoI framework that incorporated the effects of individual learner attributes on learning, as shown in the figure below.

Though informative, these three studies do not address the extent to which social presence affects cognitive presence without the mediating effect of teaching presence or, conversely, the extent to which teaching presence alone affects cognitive presence, either directly or through its mediating effect on social presence. For instance, Shea and Bidjerano (2009b) indicated that the standardized total effects path coefficient of teaching presence to cognitive presence is 0.72 (Table 2, p. 549). Garrison et al. (2010) obtained similar coefficients for teaching and social presence path effects (see Figure 1, p. 34). Depending on the correlation between teaching and social presences, teaching presence R2 could be as high as approximately 0.50. In other words, non-collaborative teaching functions may significantly cause observed cognitive presence effects, whereas social presence effects other than those produced by teaching presence may be minimal. To illuminate these issues, additional calculations should be performed on the data sets and published.

The results of Shea and Bidjerano’s research (2010) reported above and the proposed construct of learner presence also indicate that teaching activities focused on individual intellectual development have significant effects on cognition. This is similar to results reported by Means, Toyama, Murphy, Bakia, and Jones (2009). Means et al. conducted a metaanalysis of approximately 100 studies published between 1996 and 2008 comparing online, blended, and classroom learning outcomes, primarily in higher education. The most successful online metacognitive learning strategies they observed all involved encouraging individual efforts in self-reflection, -explanation, and -monitoring.

The recurring suggestion of recent CoI-based empirical research is that social presence is of questionable value in the online higher education learning experience because it does not appear to have an important effect on cognitive presence. Rather, appropriately structured learning materials, timely, non-contiguous, one-on-one instructor–learner communication, and a teaching focus that enhances individual learner attributes and effort may be the best prescriptions for effective online learning in higher education. Limited group-based collaboration may be able to uniquely develop certain interpersonal skills, like the ability to interact with multiple learners and manage group dynamics, but it may not be necessary to synthesize knowledge or achieve other valued higher-order learning outcomes. Further, CoI-based research to date has neither incorporated nor sufficiently studied unstructured, student-initiated effects on social presence—for instance, the extent of one-on-one mutual support, instruction, and encouragement students provide to one another outside of formal class structures (Gorsky et al., 2007).

KRO but the careers paper did just that

.Arbaugh, Bangert, and Cleveland-Innes (2010) – the application of the CoI framework might be better suited to “soft” disciplines rather than “hard” ones, particularly at advanced levels. In hard disciplines, theory is well established and accepted, more emphasis is placed on knowledge acquisition, and teaching is more directed than facilitative. In soft disciplines, theory tends to be contested or less developed. Consequently, teaching in soft disciplines is more constructivist-oriented and iterative, with emphasis placed on reflective practice and the development of transferrable skills, and higher-level cognitive presences are achieved. However, this is an artificial distinction. Disciplines relying on well-established and empirically supported theory may require less resolution activity, for instance, since outcomes are robustly predicted. But this would not limit the development of critical thinking skills in hard disciplines. There is little evidence that these cannot be developed within any appropriately structured course. Rather, it may be that the conceptualization of higher-order subcategories of cognitive presence within the CoI framework (such as integration and resolution) is too restricted because it associates only these attributes with critical thinking and ignores other valid constructs.

Akyol et al. (2009) stated that “seminal CoI work does not exclude the consideration of intended learning outcomes” (p. 124). Indeed, objectivist-based distance learning theory suggests that higher-order cognition may be achievable through wide and varied combinations of learner–teacher, learner–content, and learner–learner interaction (Moore, 1989). Now that CoI-based research has moved into the realm of empiricism, controlled studies can and should be undertaken that compare learning outcomes resulting from sustained, contiguous, two-way communication to other learning models. Research should also more closely examine informal learning effects on cognition and whether more effective learning occurs in formal settings of sustained, contiguous, two-way communication compared to cohort-based learning environments where limited, formal learner–learner interactions are incorporated, and even individualized distance learning environments where formal learner–learner interactions may be significantly curtailed. To facilitate this, subcategories of social and teaching presences as currently classified in the CoI framework need to be revamped and analysis adjusted to separate those processes that support explicitly group-based activities versus individual learning activities. This would isolate social presence effects produced by sustained, contiguous, two-way interaction from those produced by, for instance, informal one-on-one student interactions and more appropriately determine the extent and types of social and teaching presences necessary to support deep and meaningful learning in online higher education.

References

Akyol, Z., Arbaugh, J., Cleveland-Innes, M., Garrison, D. R., Ice, P., Richardson, J., & Swan, K. (2009). A response to the review of the community of inquiry framework. Journal of Distance Education, 23(2), 123–136.

Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12(2–3), 3–22.

Akyol, Z., Garrison, D. R., & Ozden, M. Y. (2009). Online and blended communities of inquiry: Exploring the developmental and perceptional differences. The International Review of Research in Open and Distance Learning, 10(6), 65–83.

Arbaugh, J., Bangert, A., & Cleveland-Innes, M. (2010). Subject matter effects and the community of inquiry (CoI) framework: An exploratory study. The Internet and Higher Education, 13(1–2), 37–44.

Arbaugh, J., Cleveland-Innes, M., Diaz, S., Garrison, D. R., Ice, P., Richardson, J., & Swan, K. (2008). Developing a community of inquiry instrument: Testing a measure of the community of inquiry framework using a multi-institutional sample. The Internet and Higher Education, 11(3–4), 133–136.

Bangert, A. (2009). Building a validity argument for the community of inquiry survey instrument. The Internet and Higher Education, 12(2), 104–111.

Boston, W., Diaz, S., Gibson, A., Ice, P., Richardson, J., & Swan, K. (2009). An exploration of the relationship between indicators of the community of inquiry framework and retention in online programs. Journal of Asynchronous Learning Networks, 13(3), 67–83.

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Diaz, R., Swan, K., Ice. P., & Kupczynksi, L. (2010). Student ratings of the importance of survey items, multiplicative factor analysis, and the validity of the community of inquiry survey. The Internet and Higher Education, 13(1–2), 22–30.

Garrison, D. R. (2000). Theoretical challenges for distance education in the 21st century: A shift from structural to transactional issues. The International Review of Research in Open and Distance Learning, 1(1). Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/2/333.

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Garrison, D. R. (2009b). Communities of inquiry in online learning. In P. L. Rogers (Ed.), Encyclopedia of distance learning (2nd ed., pp. 352–355). Hershey, PA: IGI Global.

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Garrison, D. R., Cleveland-Innes, M., & Fung, T. S. (2010). Exploring causal relationships among teaching, cognitive and social presence: Student perceptions of the community of inquiry framework. The Internet and Higher Education, 13(1–2), 31–36.

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Kupczynski, L., Ice, P., Weisenmayer, R., & McCluskey, F. (2010). Student perceptions of the relationship between indicators of teaching presence and success in online courses. Journal of Interactive Online Learning, 9(1), 23–43.

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Frustration Capdeferro & Romero

Are Online Learners Frustrated with Collaborative Learning Experiences?

Capdeferro,N., & Romero, M (2012)

The International Review of Research in Open and Distance Learning,13,2 p26-43

Aim (focuses on frustration) p26 ‘to characterize the feelings of frustration as negative emotion among online learners engaged in on-line computer supported collaborative learning (CSCL) experiences and , moreover, to identify the sources to which learners attribute their frustration’

Frustration

Conceptually defined as p27 ‘a negative emotion aroused upon encountering an obstacle in the achievement of a task, goal, or expectation, or in satisfying one’s needs’ from Mandler(1975) and ‘is one of the most commonly mentioned negative emotions associated with studying online.

P28 ‘In online CSCL students’ frustration could be considered at the intersection of the frustration involved with both collaborative learning and online education’

The study

40 students on a master’s degree program on e-learning, using text based tools and email. Task was collaborative writing of a paper. Groups of 2-4, duration of task 2-4 weeks, several tasksDoesn’t say whether students knew each other or met face to face

Developed a survey instrument specifically to study frustration online – 6 sections

1. Demographics

2. Prior experience of online

3. Attitudes and conceptions of teamwork

4. Open question (1) p30 ‘ wherein students could describe their online collaborative experience in their master’s program’

5. Sources (4 categories) of frustration ( based on Dillenberg,1999 of what is involved in CSCL)

a. The learning situation

b. The interactions

c. The processes

d. The effects

6. Questions (6) p30 ‘that assessed how frustrated the individual was (level and frequency of variables) and how this frustration affected his perception of participating in appropriate training that would satisfy his personal and professional ambitions (affect variable)

Findings

Experience of frustration ( Section 6)

1. Level of frustration 3(v.low), 9(low), 12(medium), 11(high), 5(v.high)

2. Frustration perception 7(v.rarely), 16(rarely), 7(frequently) ,3(very frequently)

3. ‘Sources for frustration with regard to the perception of participating in an appropriate and satisfying training program’ 12(none),4(neutral),10(quite)

correlations 1&2, 2&3,1&3 all significant

attitude is the only significant predictor

Sources (Section 5) and cross referenced with (Section 4 the open question) ie qual confirmed by quant

· Commitment imbalance (23)

o Free riders, competence level (KRO ? as commitment)

· Unshared goals(9)

o Just pass or achieve best possible

· Communication difficulties(8)

o p35 ‘35% characterised by multiple and somewhat patterns of schizophrenic patterns of interaction’ – KRO how has this been arrived at?

· Negotiation problems (7)

o People who are intolerant of others

· Individual contributions imbalance(6)

· Excess time spent and wokload (6)

· Conflict and problems in reaching concensus (6)

· Assessment imbalance (4)

· Misunderstandings (2)

· Lack of instructor support/orientation(2)

Discussion

· Communication: discusses by comparing with f-f , time, sense of reality, immediate social presence, but doesn’t support this with any actual evidence , particularly qualitative evidence

· Negotiation: p35 Skill in learning collaboratively means knowing when and how to question, inform and motivate one’s teammates, knowing how to mediate and facilitate conversation, and knowing how to deal with conflicting opinions (McManus & Aitken, 1995).

Raise student awareness of the value (learning and workplace) of being able to successfully collaborate with others.

Sunday 15 April 2012

Burdett group work student experience

Making Groups Work: University Students’ Perceptions

Jane Burdett (2003)

International Education Journal, Vol 4, No 3, p177-200

P179

“According to Imel (1991) there is little empirical evidence that collaborative learning works as it relates to learning outcomes and in adult education. Homel an Poel (1999) express a similar cview that group work has been demonstrated to be far less effective than it should be in many cases and that students must be taught how to be effective group members’

‘Mutch (1998) also oberves, ironically, that the tension students experience as they work in groups often, in fact, foreshadows what they willl experience in the workforce’

‘group work can be hard work emotionally and intelectually’

The study

105 responses from 344 final year business degree students

Face-face, meet in small groups (2-10) to collaborate on a task.

Survey, 43 items in 4 sections

  1. Demographics
  2. Participant experience, group work processes, (11 items)
  3. Competencies e.g.task management, problem solving, conflict resolution (8 items)
  4. 3 open ended questions

Findings (relating to sections 2& 4)

Quantitative

P182 ‘ 57% agreement with statement that experiences have been positive

‘63% statement that groups worked well’ these students were more likely to believe that ‘ the workload was fairly shared, they could not have achieved better outcomes when working alone, the marks awarded were generally fair ( all r p<0.001)

Qualitative

Responses to open questions were p183 ‘coded, grouped and categorized as connecting themes emerged’.

120 comments about the best aspects of group work fell into five main categories

generating ideas and sharing views (43%, 52 comments)

meeting people and building friendships (28%, 33 comments)

improved learning process (16%, 19 comments)

sharing of workload (10%, 12 comments)

improved grades (4%, 3 comments)

147 comments about the worst aspects of group work

unequal distribution of effort (59%, 86 comments)

difficulties of accommodating different work schedules for meeting times (37%, 55comments)

lack of staff support (4%, 147 comments)

104 comments about addressing group work issues

improving time management and communication p186 ‘ establishing effective ways of communicating with each other’ –“trying to get together physically [was] difficult”

better assessment practices

increasing arbitration by staff

more effective allocation of students to groups

allowing choice of group members

making group work optional restricting group size

p186 “Generally, the remedies suggested by participants were aimed at overcoming the frustrating and disabling inequities they associated with formal group work.

Conclusion

Recommendations

  • Offer collaborative work online to get rid of frustrations organising face to face meetings
  • Design of task and assessment
  • P190 ‘Strategies to assist group interdependence’

Friday 13 April 2012

problems - onlien groups

Roberts, T. S., & McInnerney, J. M. (2007).

Seven Problems of Online Group Learning (and Their Solutions).

Educational

Technology & Society, 10 (4), 257-268.

Problem #1: student antipathy towards group work

Can lead to apathy and even hostility

Problem #2: the selection of the groups

Discusses potential value of heterogenous goups - whether less able can benefit

Problem #3: a lack of essential group-work skills

Quotes Burdett (2003: p179) ‘group work can be hard work emotionally and intellectually; and that this fact is sometimes overlooked by group work advocates and practitioners’ (Burdett, J. (2003). Making Groups Work: University Students’ Perceptions. International Education Journal, 4 (3), retrieved October 15, 2007, from http://ehlt.flinders.edu.au/education/iej/articles/v4n3/Burdett/paper.pdf ).

Problem #4: the free-rider

Problem #5: possible inequalities of student abilities

P262 ‘ the need to temper the individual students’ needs with those of all the students in the group’ Winkworth and Maloney (2002) (Winkworth, A., & Maloney, D. (2002). An exploration of apathy and enthusiasm in task-focused groups:

implications for task design and supervisor intervention, retrieved October 15, 2007, from

http://www.tedi.uq.edu.au/conferences/teach_conference00/papers/winkworth-maloney.html ).

Problem #6: the withdrawal of group members, and

Problem #7: the assessment of individuals within the groups.

Addressing problem 1 – make students aware of the generic skills that they will aquire

Levin (2002a: p5) a minimal list of generic skills (Levin, P. (2002a). Teamwork Tutoring: Helping Students Working On Group Projects To Develop Teamwork,

retrieved October 15, 2007, from http://www.teamwork.ac.uk/MGS_teamwork_tutoring.PDF.)

indicated that, when it came time for them to partake in real world employment, students involved

in group learning would have developed the skills of…

• developing rapport with others

• negotiating a framework for working with others

• generating and sustaining motivation and commitment to working together

• standing back from the hurly-burly of teamwork and

• making sense of what is going on in one’s team

• coping with stressful situations that arise

• evaluating the working of one’s team

• recognising and making the most of individuals’ dispositions to prefer particular team roles

• building up one’s teamwork expertise.