Motivation and emotion/Tutorials/Goals and self

Overview

 * 1) This is the last motivation tutorial - the following three tutorials focus more on emotion.
 * 2) This tutorial explores three applied motivation topics which extend on content covered in Lectures 07, 08, 09, 10, and 11 of Reeve (2018):
 * 3) functionalist perspective on motivation using university student motivations as an example
 * 4) learned optimism


 * 1) self-tracking
 * 2) This tutorial also assists authors with content development of the book chapter by:
 * 3) live editing demonstration of Wikiversity in response to questions and examples
 * 4) journal database and citation search techniques demonstration and discussion, with an emphasis on use of Google Scholar

Functionalist perspective on motivation

 * 1) Models of motivation considered so far don't really reflect two issues:
 * 2) People may perform the same behaviour but with different motivations.
 * 3) There is often more than one motivation (reason) why someone performs a behaviour.
 * 4) The functionalist perspective on motivation (Clary & Snyder, 1999) suggests that behaviour serves a variety of different functions (or goals) for different people and that the degree of match between a person's motivations and outcomes determines the person's level of satisfaction and continuance of the behaviour.
 * 5) For example, consider:
 * 6) "Why are you at university?" - or, more generally,
 * 7) “Why do students go to uni?”
 * 8) Develop a class mind-map of the main underlying motivation for attending university. Try to think and respond really honestly - why are students really at university? Answers are likely to cover a wide range of human motives, but as the mind-map develops, look for underlying themes and group similar motivations together. Past experience with this exercise and previous research with UC students has suggested that the motivations are likely to fall within these six categories:
 * 9) Career/Qualifications - for the degree, so I can get a better job etc.
 * 10) Self-Exploration/Learning - for the learning, curiousity, knowledge-seeking etc.
 * 11) Social Opportunities - to meet people, make and explore friendships, enjoy social environment
 * 12) Altruism - to become better able to help people, help society, help the planet etc.
 * 13) Social Pressure - expectations of family, friends, society etc.
 * 14) Rejection of Alternatives - better option than doing nothing, working etc. (Note: Factor analytic research by Neill (2008) has not found psychometric support for this factor, but it has for the other five factors).
 * 15) Complete the University Student Motivation survey (handout)
 * 16) Plot your motivation responses against the average results for University of Canberra students (as collected by the third year Survey research and design in psychology in 2008) - see handout (this also includes an overall satisfaction item).


 * 1) Note and discuss:
 * 2) Where do you differ notably in your motivational profile from the university average? Who has a notable discrepancy that they would like to share?
 * 3) According to a functionalist perspective (Clary & Snyder, 1999) on motivation (e.g., see volunteer motivation), a good match between motivations and outcomes leads to satisfaction and retention (or intention to continue), whereas motivations which are not matched by corresponding outcomes leads to low satisfaction and risk of drop-out:
 * 4) If a motivation factor was rated higher than its corresponding outcome, this is likely to contribute to dissatisfaction and risk of drop-out.
 * 5) If any outcome is rated higher than corresponding motivations, the experience of university is "over-delivering" in this area (i.e., you are getting more than expected) which may or may not contribute to satisfaction (depending on how valuable that outcome is to you).


 * 1) The take-home messages from the functional perspective on motivation is that:
 * 2) Motivations are multiple, complex, and motivational profiles differ between people
 * 3) The match between our motivations and outcomes predicts satisfaction which predicts our likelihood to continue.

Learned optimism

 * 1) Related to the personal control beliefs Reeve (2018) textbook chapter 10 and lecture topic
 * 2) Whilst the textbook and lecture focus on learned helplessness, here we turn our attention to learned optimism. Both these areas were developed by Martin Seligman, University of Pennsylvania.
 * 3) Define and discuss learned helplessness vs. learned optimism
 * 4) Complete the online version of the Learned Optimism test (Seligman, 1991) and note down your Total Good, Total Bad, and Hope scores (48 items; takes approx. 15 mins)
 * 5) Invite students to plot their scores to create histograms on the whiteboard (or in a spreadsheet) for each of Total Good, Total Bad, and Hope scales, then as a whole class, describe and discuss the overall pattern of results:
 * 6) Permanence (Temporary vs. Permanent): a pessimistic view is that bad events are permanent and good events are temporary (opposite for optimism)
 * 7) PmB (Permanent Bad)
 * 8) PmG (Permanent Good)
 * 9) Pervasiveness (Specific vs. Universal - across time and space (situation)): a pessimistic view is that bad events are pervasive over time and situations and good events are specific to a particular time and place (opposite for optimism)
 * 10) PvB (Pervasive Bad)
 * 11) PvG (Pervasive Good)
 * 12) Hope (HoB) = PvB + PmB (i.e., Hope for Bad Events). Seligman indicates that this is the single most important score.
 * 13) Personalisation (Internal vs. External - locus of causality): e.g., a pessimistic view is that bad events are internally caused and good events are externally causes (opposite for optimism)
 * 14) PsB (Personalisation Bad)
 * 15) PsG (Personalisation Good)
 * 16) Total B (Bad) = PmB + PvB + PsB
 * 17) Low = Optimistic; High = Pessimistic
 * 18) Total G (Good) = PmG + PvG + PsG
 * 19) Low = Pessimistic; High = Optimistic
 * 20) Overall Optimism = G - B
 * 21) Low = Pessimistic; High = Optimistic
 * 22) Seligman's ABCDE solution (Adversity, Beliefs, Consequences, Disputation, Energisation):
 * 23) * A is for Adversity: When we encounter adversity, we react by thinking about it.
 * 24) * B is for Beliefs. Our thoughts rapidly congeal into beliefs.
 * 25) * C is for Consequences. These beliefs .... have consequences.
 * 26) * D is for Disputation. We find evidence against the negative beliefs, alternatives to our negative reasoning, and limit the implication of the beliefs. Seligman writes that "Much of the skill of dealing with setbacks ... consists of learning how to dispute your own first thoughts in reaction to a setback."
 * 27) * E is for Energisation. We feel energised after we've disputed our false, negative beliefs. Learned optimism on Wikipedia

Table 1.

Learned Optimism Attribution Dimensions

Self-tracking

 * 1) This topic relates to goal setting, feedback, and self-regulation.
 * 2) What is self-tracking? (Define and provide examples) (see Quantified Self)
 * 3) Watch and discuss:
 * 4) The quantified self (Gary Wolf, TED@Cannes, 2010, 5 mins)
 * 5) The quantified self: Data gone wild? (PBS NewsHour, 2013, 5 mins)
 * 6) 21st century mobile applications are on the cusp of deploying a bewildering array of self-monitoring life data recording streams and analysis tools.
 * 7) What are the potential benefits? (e.g., for trackable goals we can obtain a steady, relevant, valid data stream as feedback and thereby have access to powerful tool for facilitating change and growth)
 * 8) What are the potential problems? (e.g., does ST externalise the motivation?)
 * 9) What forms of self-tracking are you (or is someone you know) currently using?
 * 10) What have you discovered about yourself using self-tracking?
 * 11) What forms of self-tracking are you curious to try?

Google Scholar
Class discussion and demonstration of journal article and citation database searching - tips for better searching


 * 1) Google Scholar e.g., self-tracking motivation (search)
 * 2) Add institutional library
 * 3) Go to Google Scholar
 * 4) Login using Google Account
 * 5) Settings: Three bars (top-left) - Cog symbol
 * 6) Library links
 * 7) Search for institution name
 * 8) Select target libraries
 * 9) Save
 * 10) From now on, when logged in to Google Scholar, results will also show full-text links to resources held in the institutional library
 * 11) Citation rates
 * 12) Filtering by year
 * 13) Author search
 * 14) Related articles
 * 15) Citation searching (with Google Scholar or Scopus)
 * 16) Storing citations
 * 17) Setting up alerts
 * 18) More Google Scholar info:
 * 19) About
 * 20) Search tips

Other possibly useful search strategies:
 * 1) Identify key journals
 * 2) Topic-specific - e.g., Motivation and Emotion
 * 3) Major review journals and review articles - e.g., Annual Review of Psychology and 'review in title'
 * 4) Work from textbook content and citations - get these articles and follow their citations

Recording

 * Tutorial 03 recording, 2019