Showing posts with label instructionalDesign. Show all posts
Showing posts with label instructionalDesign. Show all posts

Wednesday, August 05, 2009

If I had only known then ...

Knowing and Doing

In my relatively short time as an academic researcher, I have explored many authors’ work. To date, the most impactful has been Albert Bandura’s Self-Efficacy: The exercise of control (1997). To normal people (non-Phd candidates) I often describe it as the foundational reason most self-help books work. Bandura (1997) defines self-efficacy as “beliefs in one’s capabilities to organize and execute the courses of action required to produce given attainments” (p. 3). A simply complex definition Bandura explains over the remaining 522 pages.

For now, you need to keep in mind what you already know and feel – your belief in your ability to accomplish a given task significantly influences the outcome.

When diffusing technology to new audiences, it is critical to know their level of belief in their ability to adopt. However, knowing that is not enough, you must do something about it. Driscoll (2005) does a wonderful job of combining Bandura's (1997) self-efficacy with Keller's ARCS (attention, relevance, confidence, satisfaction) model of motivation. This begins to close the gap between knowing your audience, and doing something about it.

If I had only known then …

Some time ago, I developed and implemented a discussion board for my faculty. Its primary purpose was to bring together a diverse faculty dispersed to several buildings as the campus had grown; losing the sense of community they once enjoyed. Additionally, it would disseminate information, allow faculty to give input on policy and procedure, discuss curriculum, and mentor each other.

The system was live for about 9 months, and never realized its potential.


If I had known about Bandura’s (1997) and Keller’s (Driscoll, 2005) theories, the results would have been different. To begin with, many faculty members believed they could not operate the system or integrate it into their daily life. They were hesitant, expressed feelings of inconvenience, and were often uninterested. While we discussed these concerns, we did not address them in the systematic and effective way the ARCS model allows.


Attention: Instructors were attentive during the training, but we did not engage their curiosity, or cerate within them Keller’s “attitude of inquiry” (Driscoll, 2005, p. 334). Their attention did not last. As Driscoll (2005) suggests, integrating more interesting problems to solve, and changing how we delivered the material would have helped.


Relevance: The system was relevant to the goal of creating more community, and providing the faculty a stronger voice - what Driscoll (2005) referred to as Keller's "ends-oriented" relevance. However, it lacked what Driscoll labeled Keller’s “means-oriented” relevance (p. 335) - or the way to achieve your goal. I think this, combined with their unfamiliarity with discussion boards, was the system’s fatal flaw. Improving instructors' familiarity with the boards was just a matter of time. Solving the means-oriented relevance would have required more focus on how a virtual community can provide strong connections.


Confidence: Many faculty members were confident in their abilities. However, for those that were not, we did make our expectations clear and provide many opportunities for them to be successful using the system – Keller’s first and second strategies for building confidence (Driscoll, 2005, p. 336). Unfortunately, we did not provide them with enough assistance outside of the training, nor did we allow them the flexibility to “control … their own learning” (p. 337). Addressing these issues would require a less structured curriculum design allowing exploration of key concepts and functionality. Additionally, establishing support hot-lines and email addresses may have provided a safety net for their confidence.


Satisfaction: We did provide sufficient feedback during and outside of the training, as instructors used the system, to generate satisfaction. However, given the other deficiencies, this did not have enough impact to sustain use.


Next time … results will be different.


Brad


References

Bandura, A. (1997). Self-efficacy: the exercise of control. New York: W.H. Freeman and Company.
Dirscoll, M. P. (2005). Psychology of learning for instruction (3rd ed.). Boston: Pearson. (Original work published 1995)

Friday, January 09, 2009

From Knowledgable to Knowledge-able

This online essay, From Knowledgable to Knowledge-able: Learning in New Media Environments by Michael Wesch from Kansas State University, sums up all of my current feelings on education and online learning. From his opening paragraph through his closing arguments he captures the essence of the pedagogical transition in which we all find ourselves - regardless of our personal desire for it to be taking place.

We should all be as encouraged by this time of transition and embrace the changes upon us with all our passion. If you are reading my blog, it is a safe assumption you have something to do with educational technology and eLearning. Please read this article.

I leave you with his closing paragraph:

The beauty of the current moment is that new media has thrown all of us as educators into just this kind of question-asking, bias-busting, assumption-exposing environment. There are no easy answers, but we can at least be thankful for the questions that drive us on.

Thursday, January 08, 2009

Collaborative Assessment Challenges

Assessment of student learning has not always been in the educational hot-seat. As Bass and Eynon (2009) eloquently point out in the first part of their three part online essay, "education at all levels has largely taken on faith that if teachers teach, students will learn--what could be seen as a remarkable, real-life version of 'If you build it, they will come'" (¶ 6). In response to taxpayer demands for accountability, government agencies and accrediting bodies are fanning the assessment flames – as they should. As a parent, and a professional who has seen the results of weak assessment practices, I fully support the increased attention. As an educator, and eLearning designer, I also welcome the attention. However, it raises some challenges for one of our most beloved activities – collaborative learning communities. In all its various forms, its assessment can be tricky. How should individual or team participation be assessed? How does the varying student skill levels change an instructor's ability to employ fair and equitable learning assessments? What if a student does not want to collaborate with their particular community? What should her peers do? What should her instructor do? In part three of their essay, Bass and Eynon (2009) confirm that "new digital environments tend to unleash and make visible dimensions of student learning that exceed the bounds of our traditional schema in higher education, problematizing our traditional trajectories of development and challenging, if not confounding, our abilities to assess. (¶ 28)"

Thankfully, many educators and researchers are dedicating countless hours to solving these problems. Of course, a well-written rubric linking student participation to course and program objectives is the foundation of any good assessment. However, beyond that, George Siemens (2008), in a recent production made in conjunction with Walden University, presents three ways of assessing a learning community. They are (a) peer assessment; (b) community assessment, sub-divided into the open educational community as well as professional list-serves; and (c) the instructor or educator (Siemens, 2008). Bass and Eynon (2009) support Siemen's second point, emphasizing a "class as a whole looks outside its boundaries to external audiences and parallel communities for progressive markers of learning and assessment" ( ¶). Palloff and Pratt (2005) further suggest that student self-assessment and reflection can help untangle this challenge (p. 42). Finally, not to be missed is their citation of Morgan and O'Reilly's (1999) six critical of assessment:

  1. a clear rationale and consistent pedagogical approach;
  2. explicit values, aims, criteria, and standards;
  3. authentic and holistic tasks;
  4. a facilitative degree of structure;
  5. sufficient and timely formative assessment;
  6. and awareness of the learning context and perceptions (Palloff & Pratt, 2005, p. 42)

Of course, the above methods can equally apply to assessing a student's participation, knowledge demonstrated, or tasks completed. But, what about those varying skill and knowledge levels, do they impact an instructor's ability to employ the above methods in a fair and equitable manner? I think they could. Nevertheless, I think an instructor can mitigate the impact by using Palloff and Pratt's (2005) five categories of instructor involvement: set the stage, create the environment, model the process, guide the process, and evaluate the process (pp. 20 – 24). When combined with a class or team charter, clear rubrics, cultural awareness, and effective assessment practices, an instructor should be able to reasonably maintain fair and equitable assessments in most all situations.

"Most" you ask? What happens when a student does not want to collaborate with their learning community? What should the other members of the learning community do? What should the instructor do?

In these cases, a team or course charter becomes critical. This charter may detail (a) how students will interact, (b) which roles each student will play, (c) deadlines, (d) conflict resolution, and (e) how students will be held accountable (Palloff & Pratt, 2005, p. 27-28). With this sort of document in place, and the ramifications of non-participation clear, students are free to encourage and support each other in the learning process.

When a team is unable to successfully resolve a conflict or motivate team members to participate completely, the instructor can get involved. The instructor's role is then to guide and facilitate resolution and the rebuilding of the learning community. Here again, Palloff and Pratt (2005) offer five items to help facilitate participation by a student: set the stage for collaboration, don't encourage over- or under-participation, address technical difficulties swiftly, provide instruction on conflict management and resolution, and maximize participation through group composition (p. 34). If necessary, the circumstance may necessitate re-evaluating the assessment plan. However, if the course has been well designed, and the rubrics, assignments, and assessments are appropriately tied to course and program objectives, assessment plans should not need to be changed. Instead, they will appropriately discover a student's academic weakness so they can be corrected with the help of instructors or tutors.

References

Bass, R., & Eynon, B. (2009, January 7). Capturing the visible evidence of invisible learning. Message January 7, 2009, posted to Academic Commons Web site: http://www.academiccommons.org/commons/essay/capturing-visible-evidence-invisible-learning

Bass, R., & Eynon, B. (2009, January 7). Capturing the visible evidence of invisible learning (Part III). Message January 7, 2009, posted to Academic Commons Web site: http://www.academiccommons.org/commons/essay/capturing-visible-evidence-invisible-learning-3

Palloff, R., & Pratt, K. (2005). Collaborating Online: Learning together in community. San Francisco: Jossey-Bass.

Siemens, G. (Speaker). (2008). Assessment of collaborative learning (Transcript of Video Program). Laureate Education, Inc.

Wednesday, December 10, 2008

The next evolution of distance education: is it really time to walk upright?

Distance education, to the surprise of some, has been around for the better part of 150 years (Anderson, 2008). In that time, it "has evolved through five generations" – post (a.k.a. snail mail), television and radio, AV conferencing, computer conferencing, and Web 2.0 (p. 2). As ubiquitous as connectivity has become, and with as many tools as are available for eLearning (discussion boards, wikis, blogs, chat, video conferencing, mobile learning, etc…), and with the emergence of online universities with over 100,000 students (see post on the recent Sloan Consortium report), beliefs that distance education is close to reaching its summit are understandable. However, if some are to be believed, the next evolution may be upon us … and it is not where you might think. According to recent work by Moller, Huett, Foshay, Coleman, and Simonson, this evolution may be underneath technology, in the dirty underbelly of educational theory and instructional design (Moller et al., 2008, Simonson, 2008).

Moller, Huett, Foshay, and Coleman (2008) recently collaborated on a series of three articles published in TechTrends. Titled The Evolution of Distance Education: Implications for Instructional Design on the Potential of the Web, each article approaches the topic from a different context. The first examines training and development. The second approaches from higher education. The third opens up K-12. Each article is comprehensive in its evaluation of current trends' meaning for students, faculty, administrators, and instructional designers. Their bottom line, within all three sectors, is too much growth has created a demand for qualified instructional designers unable to be met by the current supply (Moller et al., 2008). This deficit has created an unbalanced reliance on faculty members and administrators, untrained to be instructional designers, creating curriculum for distance education through leveraging the "craft" of traditional education. A tradition that, in many cases, was not effective to begin with (Moller et al, 2008). The result is courses lacking quality needs assessments, effective learning models, and a connection to recent research. These courses lead to increased student disillusionment, not just for their courses, but also for distance education as a whole. Moller et al., in their final installment, call for all eLearning professionals to collaborate, and begin "the hard work of building a cumulative and unified base of knowledge for e-learning and the field of instructional design" (Huett et al., 2008, p. 66).

On the other hand, Dr. Michael Simonson (Equivalency, 2008) focuses on the concept of equivalency and the diffusion of distance education as he contemplates its future. His theory of equivalency is similar to Moller et al.'s (2008) call to revise distance education learning models, and not rely on the old teaching "craft". Dr. Simonson wants instructional designers to avoid copying their traditional courses, and focus on building courses that give learners "the same learning outcomes, but provide the learning experiences that they need in order to accomplish this equivalent … learning outcome from the course." Dr. Simonson (Distance Education, 2008) has also postulated that distance education is at a "point of critical mass" on the traditional S-curve of adoption. The implication is that growth will continue (though not in a "revolutionary" way), and academic professionals need to usher that growth safely into its next evolution, be it "haphazard" or "highly structured and planned."

At the point where the fingers meet the keyboard, Moller et al. (2008) have a thorough and practical analysis of distance education's difficult situation. They make it clear to see why instructional design must evolve to meet the needs of diverse online learners, and fill the gap between the number of trained instructional designers and the demand for new courses. As presented, Dr. Simonson's theory of equivalency is relevant, though not motivating. It will not stir the professional masses to begin the "hard work" Moller et al. emphasize, and the industry needs. I agree with Moller et al. (2008). It is time to stop dragging our collective knuckles and persisting with research and analysis that only compares distance education to traditional delivery. It is time for researchers to focus on maturing and evolving distance education in its own right. It is time for distance education to stand up on its own, assuming responsibility for its place and potential in academia.


References (Please note, other than Anderson, links in this section are internal to Walden University's system and will not work without appropriate credentials)

Anderson, T. (Ed.) (2008). The Theory And Practice Of Online Learning (2nd ed.). Edmonton, AB: Athabasca University Press.

Moller, L Foshay, W., & Huett, J. (2008, May/June). The Evolution Of Distance Education: Implications For Instructional Design On The Potential Of The Web (Part 1: Training And Development). TechTrends, 52(3), 70-75. Use the Academic Search Premier database, and search using the article's Accession Number: 33281719.

Moller, L Foshay, W., & Huett, J. (2008, May/June). The Evolution Of Distance Education: Implications For Instructional Design On The Potential Of The Web (Part 2: Higher Education). TechTrends, 52(4), 66-70. Use the Academic Search Premier database, and search using the article's Accession Number: 33991516.

Huett, J., Moller, L., Foshay, W & Coleman, C. (2008, September/October). The Evolution Of Distance Education: Implications For Instructional Design On The Potential Of The Web (Part 3: K12). TechTrends, 52(5). 63-67.

Walden University (Producer). (2008, December 7th). EDUC-8842 Resource Distance education: The next generation. Podcast retrieved from http://sylvan.live.ecollege.com/ec/crs/default.learn?CourseID=3206859&Survey=1&47=4683208&ClientNodeID=984645&coursenav=1&bhcp=1

Walden University (Producer). (2008, December 7th). EDUC-8842 Resource Equivalency theory. Podcast retrieved from http://sylvan.live.ecollege.com/ec/crs/default.learn?CourseID=3206859&Survey=1&47=4683208&ClientNodeID=984645&coursenav=1&bhcp=1