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An Overview of Selected Learning Theories about  Student  Learning   Sanjay Goel www.goelsan.wordpress.com Jaypee Institute of Information Technology, Noida, India [email_address] ,  [email_address]
Computing Education ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mark Guzdia, Education - From Science to Engineering: Exploring the dual nature of computing education research,  CACM Feb 2011 1. Soloway’s 1983 study at Yale:  “The Rainfall Problem”:  Write a program that repeatedly reads in positive integers, until it reads the integer 99999. After seeing 99999, it should print out the average.  Only 14% of students CS1 could solve this problem correctly.  2.  Hestenes’ 1985 study :  80% students could state Newton’s Third Law at the beginning of the course…  <15% of them fully understood it at the end. 3.  McCracken’s 2001 MIMN study wrt CS1:  WAP to evaluate arithmetic expressions in a text file.  The average score of 215 students was 21%.  Many of the participants never got past the design part of the problem to write any code at all.  4.  Tew’s 2010 PhD thesis  3 universities wrt CS1 :  Majority of her 952 test-takers  failed both pseudo-code and native language  exams , based on a small subset of what anyone teaches in CS1.
National Survey of Student Engagement (NSSE)
Stages of Intellectual  Development, W.G. Perry, 1970 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stages of Intellectual  Development, W.G. Perry, 1970
Perry Levels  Perceptions of  Knowledge  Perceptions of  Solutions  Perceptions of  self Responsibility  Perceptions  Teacher’s Responsibility  Ability to Make  Commitments Dualism  -  concrete thinkers who believe things are  right/wrong,  we/they, good/bad. Knowledge is a  set of truths. There is a  single correct solution  to every problem. receive explanations  of knowledge and become uneasy when asked to think independently, draw conclusions, or give my points of view. Experts are  authorities  with an ability to explain and give me correct answers. faith  in, and a commitment to, truth and knowledge as it is stated by genuine authorities. Multiplicity   -  recognize that  diversity  in thinking exists. Uncertainty prevails because all opinions are valid. Knowledge is a matter of  educated opinion. There is no one right solution to a problem, because  all are equally valid. listen to experts, but have a  right to my own opinions. Experts explain course material to me and  express their opinions. feel  no need to commit  to any specific belief or mode of thinking. Relativism  -  perceive that all knowledge is  relative , and that they need to orient themselves based on  evidence. Knowledge is  not universal , but a matter of  context and situation.  What is true in one situation may be false in another. Ambiguity is part of life  defend  own position on problem solutions based  on evidence. make comparisons to distinguish between  weak and strong evidence  in determining knowledge. Based on their experience, experts teach  procedures and analytic methods  to help me reason and compare alternatives. feel there is a  need  for some form of personal commitment. Commitment  -  develop the need to  take positions and commit to  them. Knowledge is constructed  from experience, what is learned from others, and from reflective thinking. There are many solutions to each problem; some are better, and some are worse.  Take a stand  on issues based on my personal  values and analysis.   learn and  integrate  new knowledge with what I already know. Experts are mentors that  challenge my assumptions  to support my learning. feel the  need to make commitments,  especially a  personal commitment to learning.
 
What kind of learning experiences caused the forward movement? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Learning retention rates: Some results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Sources: Bruce Nyland, 1950’s Wiman and Mierhenry, 1960, 1969 Standard Oil of NY Socony-Vacuum Oil Company Dale and Nyland, 1985 Nyland/Dole, 1972 NTL Institute James Stice, 1984 Seminar Gustafson, 1985 Brady, 1989 Glasser, 1990 Bruce Nyland, 2000
Androgogy Knowles, 1970 ,[object Object],[object Object],[object Object],[object Object]
What working IT engineers think about  Teaching Methods?,  SPINE based Study, 2004-05 No (j) Teaching Method Normalised Figure of Merit (Max. = 10) Category 1 Group Projects 10.0 Pivotal 2 Project 9.8 Pivotal 3 Practical Training 9.2 Pivotal 4 Industrial Training /Internship 6.5 Obligatory 5 Lecture 6.5 Obligatory 6 Seminars 6.3 Obligatory 7 Written projects/studies 6.2 Obligatory 8 Home work/Out of class assignment 3.8 Complementary
Effective lecturing in engineering and computing courses, 2005-06? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What students think about lectures attributes? Goel Sanjay (2006), Do Engineering Faculty Know What’s Broken?  The National Teaching & Learning Forum , Vol 15 Number 2, USA  Lecture Format property Most Effective for learning Least Effective for learning Most Often used 1. careful listening and preparing notes 36.36% 70.45% 79.55% 2. explain textbook 11.36% 90.91% 88.64% 6. creative thinking 75.00% 4.55% 9.09% 7. in-class-group-work 63.64% 4.55% 2.27% 14. discover 63.64% 2.27% 0.00% Correlation Most Effective for  Learning Least Effective for Learning Least Effective for Learning -0.79 Most Often used Lecture Format -0.69 0.99
Table A9.1: 29 students’ responses on ‘questioning in the class’,2005 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Table A10.1 :  Effectiveness of educational experiences for competency enhancement of software developers   67 Software developers - (How) Did your college help you in your development ?”  Pedagogical Engagements Rating Avg (0-4) ,[object Object],3.40 ,[object Object],2.99 ,[object Object],2.96 ,[object Object],2.84 ,[object Object],2.76 ,[object Object],2.70 ,[object Object],2.60 ,[object Object],2.55 ,[object Object],2.39 ,[object Object],1.97 ,[object Object],1.91 ,[object Object],1.85
Table A10.3:  Effectiveness of educational experiences for competency enhancement with respect to direct/indirect contribution for final year project by  210 computing students (7th sem) Pedagogical Engagements Rating, 0-4 ,[object Object],2.8 ,[object Object],2.8 ,[object Object],2.7 ,[object Object],2.5 ,[object Object],2.5 ,[object Object],2.4 ,[object Object],2.2 ,[object Object],2.1 ,[object Object],1.9 ,[object Object],1.8 ,[object Object],1.6 ,[object Object],1.5
Two Core Principles Related to Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Teaching ,[object Object],[object Object],[object Object]
Teaching ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bloom’s Taxonomy: Levels of Cognition ,[object Object],[object Object],What students think they get to do? calculate, explain, prove   (studied theorem, studied method), define (studied definitions), write, solve, compute, show (studied fact, studied method), evaluate(computation), derive, state, describe, determine, find, analyze, justify, … What students think works well for them wrt learning? design, analyze, understand, build, apply,   adapt, implement, create, develop, demonstrate, validate,  define (new things), show (unstudied fact in the direct context of studied material) , illustrate, compare, enjoy, correlate, argue, research, evaluate (the options),  ... What professional engineers  recommend ? analyse, design, develop, implement,   evaluate (the options), integrate, build, conclude, define (new things), acquire, demonstrate, justify, assess, organize, formulate, estimate, summarize, categorize, validate, … Correlation   What professional engineers recommend ? What students get in exams?  -0.57
Rating Comparison      Bloom levels What students think they get ?       What students get in exams ? What students think works well for them ? What  engineers recommend ? Knowledge 0.24 0.36 0.04 0.09 Comprehen-sion 0.24 0.16 0.11 0.10 Application 0.22 0.40 0.13 0.10 Analysis 0.14 0.04 0.15 0.19 Synthesis 0.14 0.05 0.46 0.38 Evaluation 0.02 0.00 0.11 0.15
Modifications to  Bloom’s Taxonomy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Original Terms  New Terms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Anderson & Krathwohl , 2001
Active Engagement Levels:  Extending Bloom’s Taxonomy  Sanjay Goel,  PhD Thesis, 2010 Minger, 2000 Rowe & Boulgerides, 1992 Sternberg, 1999
1984
 
Structure of the Observed Learning Outcome (SOLO) Taxonomy,  Biggs and Collis, 1982 ,[object Object],[object Object],[object Object],[object Object]
SOLO  Taxonomy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOLO  Taxonomy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOLO  Taxonomy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SOLO  Taxonomy  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Learning Objectives VS SOLO level ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Claus Brabrand and Bettina Dahl, J. , Using the SOLO taxonomy to analyze competence progression of university science curricula,  Journal of  of Higher  Education, 58, Springer, pp 531–549, February 2009.
Four-dimensional Taxonomy of Pedagogic Engagements in Software Development Education Reflective Engagements Integrative Engagements Active Engagements  Collaborative Engagements Individual  engagement  problem solving activity  Inclusion and integration  of various ideas and diverse perspectives. Think deeply to  evaluate and refine/transform  their own approach and views Collaborate with others to solve problems Sanjay Goel,  PhD Thesis, 2010

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An Overview of Selected Learning Theories about Student Learning

  • 1. An Overview of Selected Learning Theories about Student Learning Sanjay Goel www.goelsan.wordpress.com Jaypee Institute of Information Technology, Noida, India [email_address] , [email_address]
  • 2.
  • 3. Mark Guzdia, Education - From Science to Engineering: Exploring the dual nature of computing education research, CACM Feb 2011 1. Soloway’s 1983 study at Yale: “The Rainfall Problem”: Write a program that repeatedly reads in positive integers, until it reads the integer 99999. After seeing 99999, it should print out the average. Only 14% of students CS1 could solve this problem correctly. 2. Hestenes’ 1985 study : 80% students could state Newton’s Third Law at the beginning of the course… <15% of them fully understood it at the end. 3. McCracken’s 2001 MIMN study wrt CS1: WAP to evaluate arithmetic expressions in a text file. The average score of 215 students was 21%. Many of the participants never got past the design part of the problem to write any code at all. 4. Tew’s 2010 PhD thesis 3 universities wrt CS1 : Majority of her 952 test-takers failed both pseudo-code and native language exams , based on a small subset of what anyone teaches in CS1.
  • 4. National Survey of Student Engagement (NSSE)
  • 5.
  • 6. Stages of Intellectual Development, W.G. Perry, 1970
  • 7. Perry Levels Perceptions of Knowledge Perceptions of Solutions Perceptions of self Responsibility Perceptions Teacher’s Responsibility Ability to Make Commitments Dualism - concrete thinkers who believe things are right/wrong, we/they, good/bad. Knowledge is a set of truths. There is a single correct solution to every problem. receive explanations of knowledge and become uneasy when asked to think independently, draw conclusions, or give my points of view. Experts are authorities with an ability to explain and give me correct answers. faith in, and a commitment to, truth and knowledge as it is stated by genuine authorities. Multiplicity - recognize that diversity in thinking exists. Uncertainty prevails because all opinions are valid. Knowledge is a matter of educated opinion. There is no one right solution to a problem, because all are equally valid. listen to experts, but have a right to my own opinions. Experts explain course material to me and express their opinions. feel no need to commit to any specific belief or mode of thinking. Relativism - perceive that all knowledge is relative , and that they need to orient themselves based on evidence. Knowledge is not universal , but a matter of context and situation. What is true in one situation may be false in another. Ambiguity is part of life defend own position on problem solutions based on evidence. make comparisons to distinguish between weak and strong evidence in determining knowledge. Based on their experience, experts teach procedures and analytic methods to help me reason and compare alternatives. feel there is a need for some form of personal commitment. Commitment - develop the need to take positions and commit to them. Knowledge is constructed from experience, what is learned from others, and from reflective thinking. There are many solutions to each problem; some are better, and some are worse. Take a stand on issues based on my personal values and analysis.   learn and integrate new knowledge with what I already know. Experts are mentors that challenge my assumptions to support my learning. feel the need to make commitments, especially a personal commitment to learning.
  • 8.  
  • 9.
  • 10.
  • 11.
  • 12. What working IT engineers think about Teaching Methods?, SPINE based Study, 2004-05 No (j) Teaching Method Normalised Figure of Merit (Max. = 10) Category 1 Group Projects 10.0 Pivotal 2 Project 9.8 Pivotal 3 Practical Training 9.2 Pivotal 4 Industrial Training /Internship 6.5 Obligatory 5 Lecture 6.5 Obligatory 6 Seminars 6.3 Obligatory 7 Written projects/studies 6.2 Obligatory 8 Home work/Out of class assignment 3.8 Complementary
  • 13.
  • 14. What students think about lectures attributes? Goel Sanjay (2006), Do Engineering Faculty Know What’s Broken? The National Teaching & Learning Forum , Vol 15 Number 2, USA Lecture Format property Most Effective for learning Least Effective for learning Most Often used 1. careful listening and preparing notes 36.36% 70.45% 79.55% 2. explain textbook 11.36% 90.91% 88.64% 6. creative thinking 75.00% 4.55% 9.09% 7. in-class-group-work 63.64% 4.55% 2.27% 14. discover 63.64% 2.27% 0.00% Correlation Most Effective for Learning Least Effective for Learning Least Effective for Learning -0.79 Most Often used Lecture Format -0.69 0.99
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. Rating Comparison     Bloom levels What students think they get ?       What students get in exams ? What students think works well for them ? What engineers recommend ? Knowledge 0.24 0.36 0.04 0.09 Comprehen-sion 0.24 0.16 0.11 0.10 Application 0.22 0.40 0.13 0.10 Analysis 0.14 0.04 0.15 0.19 Synthesis 0.14 0.05 0.46 0.38 Evaluation 0.02 0.00 0.11 0.15
  • 23.
  • 24.
  • 25. Active Engagement Levels: Extending Bloom’s Taxonomy Sanjay Goel, PhD Thesis, 2010 Minger, 2000 Rowe & Boulgerides, 1992 Sternberg, 1999
  • 26. 1984
  • 27.  
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.  
  • 34.
  • 35. Four-dimensional Taxonomy of Pedagogic Engagements in Software Development Education Reflective Engagements Integrative Engagements Active Engagements Collaborative Engagements Individual engagement problem solving activity Inclusion and integration of various ideas and diverse perspectives. Think deeply to evaluate and refine/transform their own approach and views Collaborate with others to solve problems Sanjay Goel, PhD Thesis, 2010

Editor's Notes

  1. NAIT developing its Learning Outcomes Guide (LOG) system which uses 222 verbs in three domains and three levels in each domains. http://www.nait.ab.ca/logging