Observational Goal Setting

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Goal-Setting enhances learning by providing a sense of direction and purpose. Often only a few goals are suggested, as a result many learners fail to find the goals that they can relate to. To address this problem, we propose to extract a large number and variety of goals from social media. Learners can then observe goal-based messages from others and adopt the ones they find useful. Conceptually, this approach could be considered a combination of Goal-Setting and Observational Learning. To provide a practical implementation, we automate this process by retrieving a large number of messages from Twitter, classifying which of the messages contain goals, determining what those goals are.

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Observational Goal Setting

  1. 1. Introduction Previous Research Results & Findings Conclusion Observational Goal Setting Sébastien LouvignéGraduate School of Information Systems. Okamoto lab.The University of Electro-Communications, Chofu, Tokyo Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  2. 2. Introduction Previous Research Results & Findings ConclusionOutline 1 Introduction Goals for Learning Problem Statement Research Purpose 2 Previous Research Goal Setting Observational Learning 3 Results & Findings Large-Scale Dataset Methodology Observational Goal Setting Theory 4 Conclusion Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  3. 3. Introduction Goals for Learning Previous Research Problem Statement Results & Findings Research Purpose ConclusionGoals for Learning Goal Setting enhances Learning Providing a sense of direction and purpose: Being aware of reasons Important for learners (Pintrich, et al. 1990). Do your best! Not ecient for learning. (Dan Pink - RSA Animate) Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  4. 4. Introduction Goals for Learning Previous Research Problem Statement Results Findings Research Purpose ConclusionProblem Statement Failing to nd goals Failing in learning Give the child the desire to learn and... any method will be good. (Rousseau, 1854) The largest cause of education failure is... lack of student motivation. (Samuelson, 2010) Proposed Solution: Utilizing Social Media 1 Finding a community. 2 Providing a large variety of goals from peers. Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  5. 5. Introduction Goals for Learning Previous Research Problem Statement Results Findings Research Purpose ConclusionResearch Purpose Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  6. 6. Introduction Previous Research Goal Setting Results Findings Observational Learning ConclusionGoal Setting Inuencing learning and performance (Locke, 1990; Zimmerman, et al. 1992; Bekele, 2010). Goal attributes Leading eventually to personal satisfaction (Fulllment). Fulllment and achievement motivation: important success factors in learning. Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  7. 7. Introduction Previous Research Goal Setting Results Findings Observational Learning ConclusionObservational Learning Expanding knowledge from observing 4-processes categories (Bandura, 1986) Attentional (Observation) Retention (Structuring information) Production (Behavior) Motivational (Inuence from others) Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  8. 8. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionLarge-Scale Dataset Twitter Short text messages Metadata (e.g. user prole, social network) Large amount of data publicly available Data containing Learning concepts Filter stream data (learn, study, language, algebra, etc). Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  9. 9. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionFinding the right goals: Search Engines Large amount of unstructured information Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  10. 10. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionFinding the right goals: Social Media Data Mining Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  11. 11. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionGoal Classication Goal Motivation classiers 1 Extracting motivational data from Twitter Motivational Corpus (Rubens, 2012). 2 Filtering goal-based messages using textual features. 3 Determining what goals and attributes are (e.g. sentiment, diculty). Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  12. 12. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionProposed Approach Showing goal-based motivational messages Assisting learners in observing and adopting what they nd useful. Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  13. 13. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionInterface: Goal Categorization Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  14. 14. Introduction Large-Scale Dataset Previous Research Methodology Results Findings Observational Goal Setting Theory ConclusionObservational Goal Setting Adoption process 1 Getting results from search request 2 Organizing results in separated groups 3 Showing results to users 4 Observing and adopting goals Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  15. 15. Introduction Previous Research Results Findings ConclusionConclusion Observational Goal Setting theory Combining Goal Setting with Observational Learning. Assisting learners in observing peers goal-based messages and setting up their own goals. New Approach Goal Classication Finding goal-based messages and determining what those goals are. Goal Categorization Showing goal-based messages in separated groups. Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  16. 16. Introduction Previous Research Results Findings ConclusionBibliography Pintrich, Paul R. E. V. De Groot (1990), Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology , vol. 82, pp. 33-40. Locke, Edwin A. (1996), Motivation through conscious goal setting. Applied Preventive Psychology , vol. 5, pp 117-124. Locke, Edwin A. G. P. Latham (2002), Building a practically useful theory of Goal Setting and Task Motivation. American Psychologist , vol. 57, pp. 705-717. Zimmerman, Barry J., A. Bandura M. Martinez-Pons (1992), Self-motivation for academic attainment: the role of self-ecacy beliefs and personal goal setting, American Educational Research Journal , vol. 29, pp. 663-676. Bekele, Teklu A. (2010), Motivation and satisfaction in internet-supported learning environments. Educational Technology Society , vol. 13(2), pp. 116-127. Bandura Albert (1986), Social Foundations of thought and action: A social-cognitive theory (Englewood Clis, NJ: Prentice Hall). Rubens, Neil, S. Louvigné T. Okamoto (2012), Corpus of motivational messages, Tech. rep. University of Electro-Communications. Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012
  17. 17. Introduction Previous Research Results Findings ConclusionLinks Observational Goal Setting theory Online presentation http://www.slideshare.net/SebastienL/observational-goal-setting Blog http://activeintelligence.org/sebastien/ Contact louvigne@ai.is.uec.ac.jp Sébastien Louvigné UEC - Chofu, Tokyo, Japan. 2012

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