Minimize
 

CRCSTL Mission:

Michigan State University’s Center for Research on College Science Teaching and Learning (CRCSTL) will promote MSU science faculty’s involvement in research on instructional design, implementation and assessment of student learning outcomes in college science. The goal of this research is to establish national and internationally recognized leadership in research on college students’ learning of science.

 

 
 
  
 
  Minimize
 

Upcoming CRCSTL Seminars:
 

Fall Semester 2009, Mondays, 4-5:00 pm, Room 105 Natural Science

 

October 19 & 26, 2009

No seminars/Informal Research Meetings

 

November 2, 2009

Speaker:             Professor Duncan Sibley, Geological Sciences, CRCSTL, MSU, DSME

Location:            Natural Science, Room 105, 4:00 pm

Title:                   Putting theory into practice in an online course.


 

November 9, 2009

Speaker:            Professor Melanie Cooper, Chemistry Department, Clemson University,

                          Chemical Education

                                   

Location:            105 Nat. Science, 4:00 pm

Title:                   Assessment and Improvement of Problem Solving

Abstract:             Problem solving is one of the most important goals of any science course.  However,
                            it is notoriously difficult to improve these skills, and many students never develop
                            competence.  A great deal of effort has been devoted to developing heuristics to help
                            students solve problems, but there is little evidence that these methods result in
                            improvements that transfer to new situations.  That is:  Students often learn to solve
                            a specific type of problem by applying an algorithm or by analogy to a more or less
                            identical problem from the text.  While these activities may result in high test scores, they
                            are not in fact very useful skills, since employers rarely need scientists and engineers who
                            cannot solve problems in a more global sense.  Our work has centered on the development
                            of methods to assess general problem solving skills, and the use of these assessments
                            to probe the effects of interventions designed to promote and develop instrinsic problem
                            solving skills in students.  We find that providing students with learning environments
                            where they must plan, monitor and evaluate their activities results in measurable
                            improvements in problem solving strategies and abilities. 

                      

 

 

November 16, 2009

Speaker:           Professor Perry Samson, Associate Chair, Professor
                        Atmospheric, Oceanic & Space Sciences
                        University of Michigan, Ann Arbor, MI

Location:          105 Nat. Science, 4:00 pm

Title:                "Let Them Bring Their Laptops!  Engaging Students in Large Classes
                         Using Technology."

 

 

November 23, 2009

Speaker:            Dr. Mark Urban-Lurain, MSU, DSME

Location:            105 Nat. Science, 4:00 pm

Title:                "Beyond Multiple Choice Exams:  Using Computerized Lexical Analysis
                         to Understand Students' Conceptual Reasoning in STEM Disciplines"

 

Abstract:           Constructed response questions, in which students must use their own language in
                             order to explain a phenomenon, create more meaningful opportunities for instructors
                             to identify their students' learning obstacles than multiple choice questions.  However,
                             the realities of typical large-enrollment undergraduate classes restrict the options
                             faculty have for moving towards more learner-focused instruction.  We are exploring
                             the use of computerized lexical analysis of students' writing in large enrollment
                             undergraduate biology and geology courses.  We have created libraries that categorize
                             student responses with >90% accuracy.  These categories can be used to predict
                             expert ratings of student responses with accuracy approaching inter-rater reliability
                             among expert raters.  These techniques also provide insight into students' use of
                             analogical thinking, a fundamental part of scientific modeling.  These techniques have
                             potential for improving assessment practices across STEM disciplines.

Paper available at:  http://fie-conference.org/fie2009/papers/1195.pdf
                       

 

 

 

 

 

 
 
  
 
   
Copyright 2007 by MSU CRCSTL | Terms Of Use
| Register