Active/Collaborative Learning Student Teams Integrating Technology Effectively Women and Minorities Assessment and Evaluation EC2000 Emerging Technology Foundation Coalition Curricula Concept Inventories
 
 
 
 
 
Assessment and Evaluation
 

What is assessment and evaluation?
Assessment is defined as data-gathering strategies, analyses, and reporting processes that provide information that can be used to determine whether or not intended outcomes are being achieved.1 Evaluation uses assessment information to support decisions on maintaining, changing, or discarding instructional or programmatic practices.
These strategies can inform:

  • The nature and extent of learning,
  • Facilitate curricular decision making
  • Correspondence between learning and the aims and objectives of teaching, and
  • The relationship between learning and the environments in which learning takes place


Why should you care about assessment?
Assessment of student learning can be used for several purposes. Student learning studies can be used to communicate learning achievement for specified outcomes, for example EC2000 Criterion 3, to provide learning evaluation to the student and the teacher, to motivate the student, and to reinforce classroom strategies that work well and target those warranting further investigation. In addition to monitoring student learning, assessment can be used to examine program efficacy. Such assessment can indicate the degree of success of a program after its completion or can be ongoing during a program to foster continuous improvement. Programmatic assessment can be used to manage projects and communicate project outcomes, evaluate the effectiveness of institutional programs, and determine direction of future processes to improve the program over time.
How do you get data?
Quantitative studies yield numerical data that give a topical view of program impact. Data collection may involve pre-tests and posttests on course material, surveys, observations, or analysis of institutional data such as grades, enrollment trends, retention, and graduation rates. Quantitative data provide useful summaries of what is happening in a program and can disclose patterns, anomalies, and relationships. However, quantitative data do not necessarily indicate why. Qualitative studies accommodate individual subjectivity and detail and thus delve deeper into the social context behind student performance, attitudes, and behaviors. The study of social change frequently involves qualitative research because of its focus on the social context and patterns. Qualitative research aims to define meanings and actions in particular contexts, to show how meanings and actions are organized, and to interpret patterns in light of broader social contexts and similar settings. For qualitative studies, researchers observe or interact and talk with participants about their perceptions through individual interviews, focus groups, and document collection.

Case Study: Physics Reform at ASU
Arizona State University (ASU) used assessment and evaluation techniques to study how reformed engineering curriculum (e.g., interactive and cooperative learning, curricular integration, the infusion of technology, etc.) in physics impacted student learning and classroom environment. ASU used two assessment approaches. First, quantitative data such as pre- and posttest results of student comprehension were gathered using the Force Concept Inventory4 (FCI). Second, the Reformed Teaching Observation Protocol (RTOP), a measure of the degree of reform in the classroom, was used to gauge the following pedagogical changes: lesson design, communication, and student teacher relationships. Analysis of data showed, with the implementation of reformed curricula, student performance on the FCI surpassed all prior years in the FC. Additionally, the RTOP scores revealed significant changes had occurred in physics instruction.

Case Study: UMD Freshman Programs
University of Massachusetts Dartmouth (UMD) used multiple assessment tools to evaluate its pilot FC freshman engineering programs. Both quantitative and qualitative methods were used to study student retention, academic performance, attitude toward teaming, life-long learning, and technology use. Comparison of retention data for first-time, full-time students showed that 83% of FC students continued to study engineering at UMD compared to about 62% of students in traditional engineering programs. FC students reported more experiences working in teams, better integration of course material, increased use of technology, and a greater expectation to return to UMD for the sophomore year. Finally, evaluation of student performance measures indicated that FC students outperformed comparison groups in successful completion of earned credits during the first semester, as shown to the right. Based on the results of these assessments, UMD engineering faculty chose to implement FC programs after offering its pilot for only one year.

Case Study: Student Retention at TAMU
In 1993, Texas A&M University (TAMU) initiated engineering curricular reform as a member of the FC. FC efforts were joined with those of the Texas Alliance for Minority Participation (TXAMP) to retain the talented freshmen that entered the engineering program. The project director for TXAMP, a leading member of the FC team, and the data assessment teams for the two programs united and explored the impact of the new FC curriculum in conjunction with the TXAMP program’s intervention strategies, bridge programs, clustering, mentoring efforts and other retention strategies. The results shown in the accompanying figures indicate that the best practices from both of these programs resulted in better retention of all students in engineering and less time required for students to complete key freshman and sophomore level courses. Results of this investigation led to adoption of these programs for all engineering students starting in 1998.

Using ACL in your Class
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If you're thinking about using ACL in your class here are some ideas that may help you prepare.

Common Structures for Using ACL

  • Designing ACL Activities for Your Class
  • Example ACL Activities
  • Tips in Using ACL
  • Traps in Using ACL
  • Time Management with ACL Structures
Workshop Cesar Malave and Jim Morgan offer workshops on active/collaborative learning and student teams in the classroom. They can customize the length (2-16 hours) and coverage of the workshops to suit your requirements. People Here are people you can contact for more information about ACL, in general, and ACL workshops in particular.
  • Cesar Malave
  • Jim Morgan

Resources

Links
References
Interactive-Engagement vs. Traditional Approaches for Introductory Physics Mechanics, by Richard Hake: The article compares gains on the Force Concept Inventory by different classes using lecture and interactive-engagement methods of teaching for 6000 students.
  • Chickering, A. and Z. Gamson, “Seven Principles for Good Practice,” AAHE Bulletin, 39:3-7, March 1987, ED 282 491, 6pp, MF-01; PC-01
  • Thielens, W., “The Disciplines and Undergraduate Lecturing,” paper presented at an annual meeting of the American Educational Research Association, April 1987, Washington, DC, ED 286 436, 57 pp, MF-01, PC-03
  • Astin, Alexander, Achieving Educational Excellence, 1985, San Francisco, Jossey-Bass
  • The Cooperative Learning Center at The University of Minnesota: The web site contains several articles describing fundamentals of cooperative learning, research support for cooperative learning, and different teaching strategies based on the fundamentals of cooperative learning.
  • Cross, K. Patricia, “Teaching for Learning,” AAHE Bulletin 39: 3-7, April, 1987, ED 283 446, 6pp MF-01, PC-01
  • Ryan, M. and G. Martens, Planning a College Course: A Guideboook for the Graduate Teaching Assistant, 1989, National Center for Research to Improve Postsecondary Teaching and Learning, Ann Arbor, MI
  • Bonwell, C. and J. Eison, “Active Learning: Creating Excitement in the Classroom,” ASHE-ERIC Higher Education Report No. 1, 1991 (http://www.ntlf.com/html/lib/bib/91-9dig.htm)
  • College Level One-Univ of Wisconsin: This site provides a large number of resources for collaborative and cooperative learning and classroom assessment.
  • McKeachie, W. and P. Pintrich, Y. Lin, and D. Smith,, Teaching and Learning in the College Classroom: A Review of the Research Literature, 1986, Ann Arbor: Regents of the University of michigan, ED 314 999, 124 pp, MF-01, PC-05.
  • Collaborative Learning Bibliography - Penn State: This page contains an annotated bibliography on collaborative learning as well as links to other resources assembled by the Center for Excellence in Learning & Teaching at Penn State.
  • Penner, J, Why Many College Teachers Cannot Lecture, 1984, Springfield, IL, Charles C. Thomas
  • Johnson, D. W., R. T. Johnson, and K. Smith, Active Learning: Cooperation in the College Classroom, Interaction Book Company, Edina, MN, 1991.
  • Richard M. Felder, Gary N. Felder, E. Jacquelin Dietz, "A Longitudinal Study of Engineering Student Performance and Retention. V. Comparisons with Traditionally-Taught Students," Journal of Engineering Education, volume 98, number 4, 1998, pp. 469-480.
  • Active-Learning-Site.Com Summaries The web page summarizes three research articles that can inform classroom practice and demonstrate the value of active learning approaches.
  • Leonard Springer, Mary Elizabeth Stanne, and Samuel Donovan, "Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis," (Research Monograph No. 11). Madison: University of Wisconsin-Madison, National Institute for Science Education.
  • Dale, Edgar, Audio-Visual Methods in Teaching, third edition, Holt Rinehart, Winston, 1969.
  • Cooperative Learning in Technical Courses: Procedures, Pitfalls, and Payoffs, Richard M. Felder, Rebecca Brent.The article provides a good overview on approaches to cooperative learning.
  • Hake, Richard R., "Interactive-engagement vs. traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses," American Journal of Physics, volume 66, 1998, pp. 64- 74.
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