Sunday, July 10, 2011

Week 1 - Aja's Reflections (Module I)

Keller's Motivational Design of Instruction

Keller ‘s(1983) Motivational Design of Instruction is a great read for novice students in the academic field of Instructional Design, Development, and Evaluation (IDDE) because it provides students with some brief historical contextualization about the field; calls on them to be an active creator of knowledge and participant in the discipline and lastly, via the motivational model, ARCS, Keller provides students with a theoretical framework and model in which they can potentially “produce instruction that is interesting, meaningful, and appropriately challenging” (p. 395). This final point is the most significant for those students who may decide to be life-long practitioners in the field.
            As I stated in my brief introductory posting on the discussion board, this is my 2nd IDDE class, so my exposure to the discipline's theories, method and instructional strategies is still very limited, but steadily growing as I progress through my program of study. Keller’s article was very helpful because it revealed that the foundational work of early instructional scientists were historically influenced by such academic disciplines as behavioral psychology, cognitive-learning psychology, and information – processing. This information was important to me because it signaled the diverse ways in which people learn and understand the world; thus, as a future instructional designer-in-training, this knowledge will have an impact on the future decisions I make in regards to my choices of strategies, media, models, methods, and assessments.
            Another interesting point in the reading assignment was Keller’s call for practitioners in the field to strive to produce more theoretical research. Keller maintained that “Technology will benefit from useful syntheses of scientific knowledge if particular technologists make the effort to obtain knowledge and write syntheses.  In this same vein, these syntheses will be more meaningful and effective if they are presented in the context of an organized structure that facilitates their learning and retention” (p. 393).  Keller would move forward with the presentation of his own theoretical model of ARCS, yet his call for the production of more theoretical models still rings true in 2011. For example, currently, I am in the process of seeking a theoretical model as well as a validated and reliable assessment instrument that competently measures active learning on either a qualitative or quantitative level. I submitted a request for assistance to the Office of Institutional Research at Syracuse University as well as to a number of faculty members.  All of them sent back return responses that they were not aware of any such item that meets my request; however, urged that if I did indeed find anything in my continuing research that I share that information with them. Overall, although I am a novice in this academic field, I am quickly realizing that there is a need for more evidence based research on a variety of concepts in the discipline followed up with field testing for comprehensibility and utility for validation purposes.
            The ARCS model consists of four main components, Attention, Relevance, Confidence, and Satisfaction with a subset of instructional strategies. The instructional strategies are particularly useful when planning one's own instructional unit or as a checklist when evaluating an external selection. 
·         Attention: learner interest and curiosity must be aroused and maintained.
o   Attention strategies:
§  Incongruity and conflict: introducing a fact  that appears to contradict the student’s experience or plying the devil’s advocate in discussing an issue or current event of interest to the student
§  Concreteness: visual presentations or verbal presentation, such as anecdotes and biographies, attract the student’s interest
§  Variability: the student’s attention is caught or maintained by changes such as tone of voice, movements, instructional format, medium of instruction, layout and design of print material, and changes in interaction patterns such as changing from student-instructor interaction to student-student interaction
§  Humor: techniques as using puns during redundant or necessarily repeated information presentations, making humorous analogies, and telling jokes in introductions and conclusions
§  Inquiry: frequent engagement in problem-solving activities and providing opportunities for learners to select topics, projects, and assignments that can capitalize on their interests; and
§  Participation: involves such activities as games, role-playing, or simulations that involve active participation of the learners.

·         Relevance: learners must perceive their personal needs are met in an instructional situation.
o   Relevance strategies:
§  Experience: suggests that instruction should tell learners how new learning will use their existing skills, that analogies be used to relate current learning to prior experience, and that instruction be related to learner interests.
§  Present worth: suggests that instruction explicitly state the current value of instruction, as opposed to stressing its value in the future
§  Future usefulness: suggests explicitly tying instructional goals to the learner’s future activities and having learners participate in activities in which they can relate the instruction to their own future goals.
§  Need matching: provide students with opportunities to exercise responsibility, authority , and influence, as well as cooperative interactions
§  Modeling: having guest lecturers/visitors to speak on a topic; having top students server as class assistants/tutors; modeling through teacher actions and enthusiasm.
§  Choice: providing meaningful alternative ways and means to accomplish a goal or task; allowing students a choice in how they organize their work.

·         Confidence: learners must have appropriate expectations about themselves others, and the subject matter.
o   Confidence strategies:
§  Learning requirements: students should clearly know what is being taught (i.e.; include learning goals into instructional materials; provide self-evaluation tools and skills, and provide explanation of the criteria used in evaluation.).
§  Difficulty: learning materials should be sequenced in order of increasing difficulty, providing continual but reasonable challenge. Instruction that build on prior knowledge or requiring prerequisites incorporates this principle.
§  Expectations: suggestions for helping students acquire realistic goals and having a positive outlooks in terms of their personal effort and abilities via various metacognitive strategies and techniques such as teaching students to plan their work productively and helping students set realistic goals for progress and achievement.
§  Attributions: promoting student awareness of their own effort, success, and achievements as a oppose to attributing them to luck and external factors; allowing students to have more internal control over learning tasks; encouraging students to verbalize both their successes and failures.
§  Self-confidence: allowing students to experience increasing independence as they work at learning a skill; providing practice of skills under realistic conditions following initial learning under more sheltered, low-risk conditions; and helping students avoid the mental traps of perfectionism rather than taking satisfaction in their accomplishments.

·         Satisfaction: learners must receive the appropriate intrinsic and extrinsic rewards from instruction.
o   Satisfaction strategies:
§  Natural consequences: maximizing the positive consequences of learning that are intrinsic to the accomplishment(i.e., letting students use their own skills in realistic settings; verbally reinforcing a student's intrinsic pride in  completing a difficult assignment or task; allowing students who have mastered a particular task to help students who have not yet finished).
§  Unexpected rewards: offsetting boring tasks with extrinsic rewards
§  Positive outcome: instruction-supplied actions – verbal praise, personal attention; helpful feedback; motivating feedback (praise) immediately following task performance.
§  Negative influences: involves avoiding the use of threats; the use of surveillance practices (as opposed to positive attention); and external performance evaluation when student self-evaluation is possible.
§  Scheduling: the scheduling of frequent reinforcements when a student is learning a new task (schedule should be variable or have a random reinforcement pattern).
Limitations
Keller does inform readers that there is a limitation to the ARCS model in the “lack of specific, prescriptive [rigid, dogmatic - insertion mine] strategies” (p. 429). He acknowledges that the conditions of motivation have a certain amount of fluidity and that a particular motivational strategy that worked today might not work tomorrow. However, Keller was interested in outlining certain “enduring characteristics of people and of instructional materials that contribute to sustained motivation” (p.429-30).

References
Keller, J. M. (1983).  Motivational design of instruction.  In C.M. Reigeluth (Ed.), Instructional - design theories and models : An overview of their current status. (pp. 386-434).  Hilldale, N.J: Lawrence Erlbaum Associates.


Keller, J.M. (1987a) Development and the use of the ARCS model of instructional design. Journal of instructional development, 10(3), 2-10.

10 comments:

  1. Hi Aja,
    This is a great re-cap of Keller's ARCS model! I feel like he does a nice job of integrating each of these components in Figure 11.1 of his 1983 piece because it shows the degree to which motivational design influences effort while learning design influences performance. This is important for teachers to keep in mind because sometimes we get so wrapped up in making a lecture or class period exciting or engaging (learning design focused) but it may not matter if the students are not ready to engage in the first place. I think this is probably more difficult for all of you elementary teachers because those students are so far removed from the connection between academic success and career achievement compared to students in higher ed that I deal with. Having said that, students in higher ed also know which courses are directly applicable and which courses are irrelevant (and simply required for their degree).

    -Jessica Redmond

    ReplyDelete
  2. Hi Aja, what drives the search for the instrument to measure active learning? By that -- active learning -- what do you mean? Is that to test a hypothesis? Are you measuring a process? Since you are talking about learn-ing? Then, you might be considering qual research. In qualitative research, YOU are the instrument, :).

    ReplyDelete
  3. Hi Aja,

    Great reflection! I am having some thoughts about the relevance and attention aspects of Keller's model. There are so many different students in the classes and so many varied learning styles that I wonder how to reach all the students? And how many is acceptable? Keller's comment that what worked today may not be sufficient for tomorrow makes me cringe a bit when I think of all the hard work teachers put into motivating students, just to have to begin at square one the next class session. That seems to be a leading cause of burnout for teachers these days. Keeping kids motivated in certainly a daunting task! And what works for one specific group of students may not work for the next class. Of course this is where the "choice" aspect of the relevance component comes in I suppose. I would think it would be difficult to make something relevant to students without choices and by allowing students to choose how they will organize their own work gives them ownership of the lesson. Getting students personally involved with the learning goes a long way I think. It allows them to have a stake in the transfer of knowledge and holds them partially responsible for that transference. I am just now so sure how to accomplish this "choice" aspect when there are 40 students to a class though.

    ReplyDelete
  4. Hi Jessica,

    Thank you for return blog posting. I appreciate your feedback. Keller’s model of motivation, performance, and instructional influence (FIG 11.1) is significant to me from an instructional designer-in-training standpoint point because reveals the limitations of just designing a course or lesson from just learning design and management perspective which seems to focus on performance outcomes. It is this type of outlook that is driving the high stakes testing movement in the United States where students are just repeatedly encouraged to perceive the main purpose of education is about performing well on standardized tests and earning good classroom grades. In this type of environment, learning is tends to be decontextualized and boring with the end result of students viewing school lessons or courses as meaningless and/or irrelevant to them. Ultimately this has led to high failure rates in multiple content areas across the board and at all grade levels. While the ARCS Model gives instructors a basic blue print of instructional strategies to think about and draw upon, teacher should understand that the best type of learning occurs in a social environment, so they should also incorporate what Dr. Vincent Tinto (2011) calls “pedagogies of engagement” (p. 14). Tinto maintains that students should be actively engaged in learning with one another in the classroom. This means employing pedagogies of engagements such as cooperative or collaborative learning and problem or project-based learning activities. Tinto asserts that each of the above activities have shown to positively impact student success via greater academic engagement, but by working together student are more likely to form social relationships with one another.


    References
    Keller, J.M. (1983). Motivational design of instruction. In C. M. Reigeluth (Ed.), Instructional-design theories and models: An overview of their current status. (pp.383-434). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.

    Tinto, V. (2011). Institutional actions for student success – part II. HED 700: Enhancing student success. Class Handout, 1-37.

    ReplyDelete
  5. Hi Yin:

    Thank you for your return blog posting. Your comments are at all times most welcomed.

    • As an instructional designer-in-training and a future online instructor for adult learners, I am already aware of the high dropout rate for adult students in an online environment and many researchers are interested in the factors behind the high online attrition rate and are theorizing as to how they can reduce if not stop the dropout trend (Frank, 2001; Hyllegard, Deng, & Hunter (2008); Long, Dubois, & Park, 2009; and Park & Choi, 2009).

    • There are some researcher who claim that active learning and pedagogies of engagement such as cooperative or collaborative learning and problem or project-based learning might be strategic retention tools that can not only keep student in face-to-face classrooms enrolled, but also online students (Barkley, 2010; Barkley, Cross & Major; 2005, Tinto, 2011).

    • In active learning, as defined by Bonwell and Eison (1991), students are doing things and thinking about what they are doing. Student activities may include reading, writing, discussing, or being engaged in solving problems. In other words, students are not passive entities/vessels in the classroom who just absorb information from their “all-knowing” teacher or instructor.

    • I have not taken either a qualitative or quantitative research methods course yet, so I am not quite sure I have the language to effectively discuss what I want to do. I am currently in the process of doing background research as to what I think I want to do. Dr. Tinto’s class and this class are helping me tremendously in my search for clarity. In addition, I recently found Rob Kelly’s article, “Using data to improve online course.” This is a wonderful short article that suggests that instructional designers should utilize both quantitative and qualitative research methods in order garner more information from and keenly monitor their audience/clients in real-time, at the beginning, and on an on-going basis throughout a course, as opposed to just an end-of-course instrument.

    Best,
    ~Aja
    ____________________________________________

    References
    Bonwell, C.C. & Eison, J.A. (1991). Active learning: Creating excitement in the classroom. San Francisco, CA: Jossey-Bass.

    Barkley, E.F. (2010). Student engagement techniques: A handbook for college faculty. San Francisco, CA: Jossey-Bass.

    Barkley, E.F; Cross, P.K, & Howell, C. (2005). Collaborative learning techniques: A handbook for college faculty. San Francisco, CA: Jossey-Bass.

    Frankola, K. (2001). Why online learners drop out. Workforce, 80(10), 52-60.

    ReplyDelete
  6. Thank you, Aja, for your post! I find your review of the ARCS model very helpful, and I will be referring to it as I make sense of our next sets of reading. And I so enjoy "listening" to your conversations with Yin and other classmates - it's encouraging me to think more deeply about the reading as it can be applied to my own (potential) research interests for English Ed. Thank you!

    ReplyDelete
  7. Hi Jen:

    Thank you for your return blog posting. Your comments and insights are very much appreciated.

    "There are so many different students in the classes and so many varied learning styles that I wonder how to reach all the students? And how many is acceptable?"

    • Although I do not think that there is any single tip, technique, or strategy that can offer a magic formula or blueprint for promoting student motivation, I do think that the student-centered instructional strategies advocated by Keller can be useful in creating an optimal classroom environment that can potentially stimulate student motivation. For example, on the class Motivation Wiki, fellow IDE 736 classmate, Mary Bearkland posted a pdf outline of the Keller (2000) ARCS lesson planning document along with the source article, How to integrate learner motivation into lesson planning: The ARCS model approach. Upon review of the source document, I found that Keller, in later years, customize his motivational design process model for work and learning settings. This revised outline is distinctly different from the one he set forth in his 1987a article. Keller provides readers with more concrete details for enhancing motivation in either a classroom or work place environment.

    • Why is this revised motivational design model significant?

    The movement from theory to practice of any design model is seemingly often a challenge and the more concrete details that an instructional designer can provide to an audience/client the smoother the implementation of the model will be in the long run. For example, after Keller originally field tested the ARCS Model, his final recommendations upon review of the field results stated that “ARCS is a problem solving model, and it does require some time to acquire an understanding of the basic strategies and concepts included in it. If a potential user has never learned to work with a systematic instructional design model, then the concepts of problem identification, solution design, and implementation must be learned in conjunction with the content and processes of the ARCS Model” (Keller, 1987 a, p.9). The revised, customized motivational design model seems to take novice practitioners into account in supplying additional information that was not seemingly elaborated on in the original field tests.


    References
    Keller, J.M. (1987a). Development and use of the ARCS Model of instructional design. Journal of instructional development, 10(3), 2-10.

    Keller, J.M. (2000). How to integrate learner motivation planning into lesson planning: The ARCS model approach. Retrieved from
    http://mailer.fsu.edu/~jkeller/Articles/Keller%202000%20ARCS%20Lesson%20Planning.pdf

    ReplyDelete
  8. Hi Sarah:

    Thank you for your very kind words. I find this class is very interesting and it is helping me tremendously in trying to get a handle on my own research interests and key focus areas. I am finding that my two fundamental problems are that (1). I have not taken the majority of the foundational courses in IDDE yet and (2). I have not yet taken any sort of research methods or assessment and evaluation courses in the program as well; thus, I am kind of limited in my current capabilities for doing either quantitative or qualitative research. For example, I would like to code some discussion board transcripts that I have for active learning from the HED 700 course that I took in summer session I, but I do not know what to do. Trying to understand the nuances of qualitative coding without taking an official course yet is quite challenging. Needless-to-say, I have my summer work cut out for me.

    Thank you so much for commenting on my blog. It is very much appreciated.

    Best,
    ~Aja

    ReplyDelete
  9. Hello All, Great discussion here.
    Couple of comments:
    First, Aja, I love your parenthetical insert under limitations:
    >Keller does inform readers that there
    >is a limitation to the ARCS model in the
    >“lack of specific, prescriptive
    >[rigid, dogmatic - insertion mine] strategies”

    I would tend to agree on one level, for a number of reason. One being, inclusion of specific, prescriptive strategies can lead people to read the model to rigidly. Also, times change so the strategies would have to change. Also, I myself don't necessarily see this lack of specifics as a limitation. (but then I've been told I have a high tolerance for ambiguity, others like specific prescriptions) Given that the chapter was published in 1983, I wonder if Keller would still agree with that.

    Keller has published more articles since then (you're referenced one), and other have also published research related to the ARCS Model. You will all see some of those during the course.

    As has been mentioned, there is a difference between youth and adult learners so the strategies used for these different populations would need to be quite different.

    On online learning: This is a whole different ball of wax. I wonder if the higher dropout rate will change over time. Adults today didn't grow up interacting in online communities the way youth now do.

    ReplyDelete
  10. Hi Professor Pusch:

    Thank you for your return blog posting. Your comments are always welcomed. Currently, I am reading some of John Keller's recent writings from 2000 - onward. In later years, Keller seemed to have visually expanded on his model representations. In addition, he seemed to customized his theoretical precepts towards a teaching audience primarily as oppose to a worker/training audience. The added steps and recommendations Keller offers in his revised work are very helpful to novice readers who are presently being exposed to his work for the first time.

    Best,
    ~Aja

    ReplyDelete