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Case Study: A Space Designed For Cooperative Learning With Multiple Processes

Conference Session: Tools for Teaching
Collection: 2008 Annual Conference & Exposition
Authors: S. Scott Moor, Indiana University-Purdue University-Fort Wayne
Tagged Divisions: Educational Research and Methods

Rugarcia, “The Future of Engineering Education II. Teaching Methods that Work,” Chem. Eng. Ed., 34(1), 26-39 (2000).2. Moor, S. S. and P. R. Piergiovanni, “Experiments in the Classroom: Examples of Inductive Learning with Classroom-Friendly Laboratory Kits,” Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition, Nashville, TN, (June 2003).3. Kolb, D., Experiential Learning: Experience as the Source of Learning and Development, Prentice-Hall (1984). Page 13.280.114. Birol, G, A.F. McKenna, H. Smith, T. Giorgio and S. Brophy, (2007). “Development of challenge based

Relevance Score: 0.63040364

Engineering Faculty Attitudes Toward Service Learning

Conference Session: Faculty Attitudes and Perceptions
Collection: 2008 Annual Conference & Exposition
Authors: Cathy Burack, Brandeis University; John Duffy, University of Massachusetts Lowell; Alan Melchior, Brandeis University; Eric Morgan, University of Massachusetts Lowell
Tagged Divisions: Educational Research and Methods

Page 13.507.1© American Society for Engineering Education, 2008 Engineering Faculty Attitudes toward Service-LearningAbstractSLICE is a multi-year initiative at the University of Massachusetts Lowell (UML) that isdesigned to embed service-learning opportunities for students throughout the undergraduatecurriculum in the College of Engineering, with the ultimate goal that each student would have atleast one course every semester with a service-learning project. Since it began in 2004, thirty-seven full-time faculty members in the engineering college at UML have tried service-learning(S-L) in at least one of their courses over the last three years, out of an average of 70 facultymembers who taught undergraduate courses. In 2003

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Implementing Research–Based Instructional Materials To Promote Coherence In Physics Knowledge For The Urban Stem Student.

Conference Session: Physics Education Research (PER) Relevant for Engineering Education
Collection: 2008 Annual Conference & Exposition
Authors: Mel Sabella, Chicago State University; Stephanie Barr, Chicago State University
Tagged Divisions: Educational Research and Methods

AC 2008-84: IMPLEMENTING RESEARCH–BASED INSTRUCTIONALMATERIALS TO PROMOTE COHERENCE IN PHYSICS KNOWLEDGE FORTHE URBAN STEM STUDENT.Mel Sabella, Chicago State University Mel S. Sabella is an Associate Professor of Physics at Chicago State University (CSU). His interests focus on improving STEM education for underrepresented students. Sabella is the director of an NSF – CCLI project that integrates research-based instructional material in the introductory urban physics classroom. He is also director of the Physics Van Inservice Institute, part of a project supported by the Illinois Board of Higher Education. Sabella earned his PhD. in Physics Education Research from the University of Maryland

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Meeting The Challenge Of Reviewing Eleven Engineering Programs

Conference Session: Institutional and Curricular Reform
Collection: 2008 Annual Conference & Exposition
Authors: Pierre Lafleur, Ecole Polytechnique de Montreal; Yves Boudreault, Ecole Polytechnique de Montreal; Richard Prégent, École Polytechnique de Montréal
Tagged Divisions: Educational Research and Methods

new program. F ig u re 3 .0: R e te n tio n ra te v s n u m b er o f s e m e s te rs 1 0 0 ,0 % 1 0 0 ,0 % 9 5 ,0 % 9 2 ,2 % 9 0 ,0 % R e te n tio o n ra te 8 5 ,0 % 8 3 ,9 % 8 0 ,0 % 7 5 ,0 % 7 0 ,0 % 6 5 ,0 % 6 0 ,0 % 1 2 3

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Applying "Cultural Consensus Analysis" To A Subgroup Of Engineering Educators

Conference Session: Faculty Attitudes and Perceptions
Collection: 2008 Annual Conference & Exposition
Authors: Susan Lord, University of San Diego; Michelle Camacho, University of San Diego; Christina Aneshansley, University of San Diego
Tagged Divisions: Educational Research and Methods

Engineering Education Annual Meeting, Salt Lake City, UT.4 IEAust, (1996) “Changing the culture: Engineering education into the future,” Institution of Engineers Australia, ACT 1996.5 Tonso, K., (2007) On the Outskirts of Engineering: Learning Identity, Gender, and Power via Engineering Practice, Rotterdam, The Netherlands: Sense Publishers.6 Romney, A. K., S. C. Weller, and W. H. Batchelder, (1986) "Culture as Consensus: A Theory of Culture and Informant Accuracy," American Anthropologist, 88: 313-38.7 Fox, R.G. (ed) (1991) Recapturing Anthropology: Working in the Present, Sante Fe, NM: School of American Research Press.8 Marcus, G. E. and M. J. Fischer, (1985) Anthropology as Cultural Critique: An Experimental Moment in the Human

Relevance Score: 0.014818143

The Impact Of The Alice Curriculum On Community College Students' Attitudes And Learning With Respect To Computer Science

Conference Session: ERM Poster Session
Collection: 2008 Annual Conference & Exposition
Authors: Ashlyn Munson; Barbara Moskal, Colorado School of Mines; Stephen Cooper, Saint Joseph's University; Wanda Dann, Ithaca College
Tagged Divisions: Educational Research and Methods

selected, the outcomesmay have been different.AcknowledgementsThis research is supported by the National Science Foundation (NSF-DUE-0302542) and is partof the on-going efforts of the Center for Assessment of Science, Technology, Engineering andMathematics at the Colorado School of Mines (see http://www.mines.edu/research/ca-stem/). Page 13.1238.13References1. Cooper, S., Dann, W., & Moskal, B. Java-Based Animation in Building viRtual Worlds for Object-orientedprogramming in Community colleges. NSF-DUE-0302542.2. Walker, Leslie., “Recognize Me?”, The Washington Post Online, accessed 2006,http://www.washingtonpost.com/wp-dyn/content/article/2006

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Are We Accepting The Right Students To Graduate Engineering Programs: Measuring The Success Of Accepted Students Via Data Envelopment Analysis

Conference Session: Student Recruitment and Retention
Collection: 2008 Annual Conference & Exposition
Authors: Elif Kongar, University of Bridgeport; Mahesh Baral, University of Bridgeport; Tarek Sobh, University of Bridgeport
Tagged Divisions: Educational Research and Methods

model follows. Page 13.219.5 3As also mentioned above, a basic DEA model allows the introduction of multiple inputs and multipleoutputs and obtains an “efficiency score” of each DMU with the conventional output/input ratioanalysis. Defining basic efficiency as the ratio of weighted sum of outputs to the weighted sum ofinputs, the relative efficiency score of a test DMU p can be obtained by solving the following DEAratio model (CCR) proposed by Charnes, et al.1: s ∑v k =1

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An Examination Of The Use Of Social Cognitive Career Theory To Explore Factors Influencing The Post Baccalaureate Decisions Of High Achieving Engineering Students

Conference Session: STEM Pipeline: Pre-College to Post-Baccalaureate
Collection: 2008 Annual Conference & Exposition
Authors: Venetia Dover, Howard University; Lorraine Fleming, Howard University; Dawn Williams, Howard University; Viara Quinones, Howard University
Tagged Divisions: Educational Research and Methods

) professionals is significantly disproportionate to minority representation inthe U.S. general population and workforce, thereby impacting the current pool of primarilyWhite male STEM professionals’ ability to meet the rapidly changing demands facing theengineering industry. Instead, the U.S. must increase the numbers of women and minorities(defined for the purpose of this study as African Americans, Hispanics, and Native Americans)that earn degrees in STEM fields not just at the baccalaureate level, but at all levels1.Minorities, particularly African Americans, are showing an increase in enrollment andsubsequent degree attainment in science and engineering (S&E)1. Data from 1987 and 2000show an increase in the percentage of S&E degrees awarded

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Enhancing Design Learning By Implementing Electronic Portfolios

Conference Session: Design: Content and Context
Collection: 2008 Annual Conference & Exposition
Authors: Mieke Schuurman, Pennsylvania State University; Christine B. Masters, Pennsylvania State University; Peggy Van Meter, Pennsylvania State University; Gül Okudan, Pennsylvania State University
Tagged Divisions: Educational Research and Methods

rubrics. Knowledge: Pts. Level Awarded Description Student does not have an understanding of the characteristic, e.g., does not A 0 mention any of the attributes related to the characteristic. Provides a good understanding of the characteristic or provides evidence/artifact(s) A 1 that suggest a good understanding of the characteristic. Provides evidence/artifact(s) and a good understanding of the characteristic but A 2 does not connect the two together. Articulates the understanding of the characteristic with the provided evidence/artifact(s). Student

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More Than Good Curricula: A Guide For Curricular Change Agents

Conference Session: Institutional and Curricular Reform
Collection: 2008 Annual Conference & Exposition
Authors: Jeffrey Froyd, Texas A&M University; Charles Henderson, Western Michigan University; Jean Layne, Texas A&M University; Andrea Beach, Western Michigan University; Noah Finkelstein, University of Colorado; R. Sam Larson, Kaiser Permanente Colorado
Tagged Divisions: Educational Research and Methods

that had been tried and thesuccess (or lack thereof) that followed. For example, if change agents are considering alternativepedagogies as an approach to achieve their course goals, they may to investigate the literaturethat supports the efficacy of student-centered pedagogies3,4,13-39.Bar r ier s to ChangeResistance to change is inevitable40,41. Recognizing its inevitability, Mauer34 encourages changeagents to anticipate and address resistance in their plans, rather than be surprised at itsoccurrence and have to improvise. Change agents who are prepared to address commonlyoccurring barriers are likely to be more effective than unprepared change agents.Research by Sunal et al.42 showed that faculty in their survey, which asked respondents

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Scaffolding To Improve Reasoning Skills In Problem Formulation

Conference Session: Problem Solving and Misconceptions
Collection: 2008 Annual Conference & Exposition
Authors: John Jackman, Iowa State University; Sarah Ryan, Iowa State University; Craig Ogilvie, Iowa State University; Dale Niederhauser, Iowa State University
Tagged Divisions: Educational Research and Methods

.) The Nature of Expertise (pp. 261-285). Hillsdale, NJ: Lawrence Erlbaum Associates 2. Bransford, J.D. (1993). Who Ya Gonna Call? Thoughts About Teaching Problem- Solving. In P. Hallinger, K. Leithwood, J. Murphy (Eds.), Cognitive Perspectives on Educational Leadership (pp. 171-191). New York: Teachers College Press. 3. French, S., Simpson, L., Athertona, E., Belton, V., Dawes, R., Edwards, W.,O P. Hamalainen, R.P., Larichev, O., Lootsma, F., Pearmani, A., Vlek, C. (1998)Problem Formulation for Multi-Criteria Decision Analysis: Report of a Workshop. J. Multi- Criteria Decision. Analysis, Vol. 7, pp. 242–262. 4. Jonassen, D.H. (1997). Instructional Design Models for Well-Structured and Ill

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Moving From Pipeline Thinking To Understanding Pathways: Findings From The Academic Pathways Study Of Engineering Undergraduates

Conference Session: SPECIAL SESSION: Describing the Engineering Student Learning Experience Based on CAEE Findings: Part 1
Collection: 2008 Annual Conference & Exposition
Authors: Cynthia Atman, University of Washington; Lorraine Fleming, Howard University; Sheri Sheppard, Stanford University; Ronald Miller, Colorado School of Mines; Karl Smith, University of Minnesota; Reed Stevens, University of Washington; Ruth Streveler, Purdue University; Christine Loucks-Jaret, University of Washington; Dennis Lund, University of Washington
Tagged Divisions: Educational Research and Methods

educations and explore how misalignments betweenuniversity and workplace practices impact preparation and retention.This paper presents recent research results on the engineering student learning experience fromthe multiple campuses involved in the study. These summarized results—from the students'perspective(s)—present initial conclusions about significant themes. In the longer run, thesethemes will be synthesized across the results of this large study. Among other ideas, theseresults question the veracity of the pipeline metaphor that has been used to describe students’navigation through their education. The “leaky pipeline” metaphor has also been questioned byothers, including Watson and Froyd26 recently, who are calling for an alternative view

Relevance Score: 0.011899266

Apples And Oranges? A Proposed Research Design To Examine The Correspondence Between Two Measures Of Engineering Learning

Conference Session: Assessment
Collection: 2008 Annual Conference & Exposition
Authors: Patrick Terenzini, The Pennsylvania State University; Lisa Lattuca, Pennsylvania State University; Matthew Ohland, Purdue Engineering Education; Russell Long, Purdue University
Tagged Divisions: Educational Research and Methods

likely given that validity is not aproperty of the instrument, but is instead related to the scores, which must be interpreted incontext.6 Page 13.207.3ABET resisted rigid specification of what institutions must to in assessing their students' learningand discouraged reliance on any single measure. The consequence of the generality of ABET'sspecifications and the associated flexibility in operationalizing EC2000’s Criterion 3 learningoutcomes led to the emergence of a wide array of items, scales, and instruments for assessingstudent performance on one or more of the criteria. Few, if any, of these measures, however,appear to have been developed

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Motivating Research In An Engineering Teaching Institution

Conference Session: ERM Potpourri
Collection: 2008 Annual Conference & Exposition
Authors: Howard Evans, National University; Shekar Viswanathan, National University
Tagged Divisions: Educational Research and Methods

attend professional conferencesthat will enhance their professional growth and further the mission of the university. Eachfaculty member has a budget of $2,400 per academic year for this purpose.Faculty scholarshipsA scholarship support system is set up to enhance faculty research, funded internally by theuniversity. The scholarship is awarded to the faculty member(s) who demonstrates that he/she is Page 13.907.5more deserving of the award than his competitors.Presidential awardsTo support faculty research and/or to assist faculty who are completing their terminal degrees, aspecial fund is established annually. Faculty members who wish to apply

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The Effects Of Instructors' Time In Industry On Students' Co Curricular Experiences

Conference Session: Professional Skills and the Workplace
Collection: 2008 Annual Conference & Exposition
Authors: Betty Harper, Pennsylvania State University, University Park; Patrick Terenzini, Pennsylvania State University
Tagged Divisions: Educational Research and Methods

students spend in these activities. Precisely whythis relation exists remains to be explored. It may be that these faculty members encourageparticipation more than their non-industry counterparts, or it may be that programs with a largeproportion of such faculty tend to offer more opportunities for students to engage in suchactivities. While the reason(s) for this relationship deserves further attention, the implication Page 13.1223.9remains. Faculty members' industry experience can positively effect student participation indesign competitions and activities and should be a consideration in the recruitment of newfaculty. Contrary to our

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How Accurate Is Students’ Self Assessment Of Computer Skills?

Conference Session: Assessment
Collection: 2008 Annual Conference & Exposition
Authors: Michael Collura, University of New Haven; Samuel Daniels, University of New Haven
Tagged Divisions: Educational Research and Methods

) s = standard deviationEffect size is generally used in studies which employ a well-defined control group forcomparison with the experimental group. In such cases, the standard deviation of the controlgroup is used. Boud’s recommendation for studies which compare student to instructorassessment is to use the standard deviation of the instructors assessment.This statistic is useful in determining how well the students’ self-assessment reflects theperformance of the class as a whole. A value of zero indicates perfect agreement, while apositive value indicates that the students overestimate their proficiency. Boud suggests thatvalues of 0.2 are considered small, values of 0.8 are considered large.A correlation coefficient can be used to

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Ifoundry: Engineering Curriculum Reform Without Tears

Conference Session: Institutional and Curricular Reform
Collection: 2008 Annual Conference & Exposition
Authors: David Goldberg, University of Illinois at Urbana-Champaign; Andreas Cangellaris, University of Illinois at Urbana-Champaign; Michael Loui, University of Illinois at Urbana-Champaign; Raymond Price, University of Illinois at Urbana-Champaign; Bruce Litchfield, Univ Of Illinois-Urbana Champaign
Tagged Divisions: Educational Research and Methods

AC 2008-1667: IFOUNDRY: ENGINEERING CURRICULUM REFORM WITHOUTTEARSDavid Goldberg, University of Illinois at Urbana-Champaign David E. Goldberg is Jerry S. Dobrovolny Distinguished Professor in Entrepreneurial Engineering at the University of Illinois at Urbana-Champaign.Andreas Cangellaris, University of Illinois at Urbana-Champaign Andreas C. Cangellaris is M. E. Van Valkenburg Professor in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign.Michael Loui, University of Illinois at Urbana-Champaign Michael Loui is Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign.Raymond Price, University of Illinois at Urbana

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Engineering Student Retention: Development Of A Validated, Quantitative Instrument For Exploring The Role Of Personal And Institutional Context

Conference Session: Student Recruitment and Retention
Collection: 2008 Annual Conference & Exposition
Authors: Jennifer VanAntwerp, Calvin College; Rachel Reed, Calvin College; Crystal Bruxvoort, Calvin College; Neil Carlson, Calvin College
Tagged Divisions: Educational Research and Methods

retention: a longitudinal and cross-institutional study. Proceedings - American Society for Engineering Education Southeast. Page 13.522.118. Pieronek, C., McWilliams, L. H., & Silliman, S. E. (2003). Initial observations on student retention and course satisfaction based on first-year engineering student surveys and interviews [Electronic version]. Proceedings of the American Society for Engineering Education Annual Conference.9. Pomalaza-Raez, C., & Groff, B. H. (2003). Retention 101: where robots go ... students follow [Electronic version]. Journal of Engineering Education, 92(1), 1-6.10. Richardson, J

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A Qualitative Study Of The Early Work Experiences Of Recent Graduates In Engineering.

Conference Session: SPECIAL SESSION: Describing the Engineering Student Learning Experience Based on CAEE Findings: Part 2
Collection: 2008 Annual Conference & Exposition
Authors: Russell Korte, The University of Texas-Tyler; Sheri Sheppard, Stanford University; William Jordan, CRL-Stanford University
Tagged Divisions: Educational Research and Methods

Relevance Score: 0.010436347

Evaluating Different Aspects Of Peer Interaction Using An On Line Instrument

Conference Session: Fostering and Assessing Effective Teaming
Collection: 2008 Annual Conference & Exposition
Authors: Alan Cheville, Oklahoma State University; James Duvall, Oklahoma State University
Tagged Divisions: Educational Research and Methods

project are considered independent. In reporting scores the namingconventions from the previous section are used to identify different elements of the peerevaluation instrument. Mean scores given to students are reported in italics, for exampleOverall. Scores given by students are identified by the subscript G and scores received by thesubscript R, for example OverallR corresponds to the mean score received on the overallevaluation section of the evaluation. The range of scores given or received was determined bythe standard deviations and are reported as s(OverallG), i.e. the standard deviation of the overallscores given by the students in the sample.There were few significant correlations between scores students gave or received for

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Learner Centered Games: A Pathway To Student Motivation And Engagement

Conference Session: Student Engagement and Motivation
Collection: 2008 Annual Conference & Exposition
Authors: Stephen Crown; Arturo Fuentes; Bob Freeman
Tagged Divisions: Educational Research and Methods

invest energy and time in mastering itsconcepts, but also provide opportunities to involve students in the development process topromote greater engagement and learning.Bibliography1. Fuentes, A. A., and Crown, S., “Improving Conceptual Learning in Mechanics of Materials by Using Web-BaseGames and the Involvement of Students in the Game Design Process”, 2007 ASEE Annual Conference &Exposition, Honolulu, Hawaii, June 24-27, 2007.2. Crown, S., and Fuentes, A. A., “Web-Based Forums for Student Learning Through Teaching”, 2007 ASEEAnnual Conference & Exposition, Honolulu, Hawaii, June 24-27, 2007.3. Crown, S., and Fuentes, A. A., “Student Learning Through Teaching”, 2007 ASEE-GSW Annual Conference

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An Investigation Of Gaps In Design Process Learning: Is There A Missing Link Between Breadth And Depth?

Conference Session: Design: Content and Context
Collection: 2008 Annual Conference & Exposition
Authors: Christine B. Masters, Pennsylvania State University; Mieke Schuurman, Pennsylvania State University; Gül Okudan, Pennsylvania State University; Samuel T Hunter, Pennsylvania State University
Tagged Divisions: Educational Research and Methods

Education, Vol. 94, No. 1, 2005, pp 103 – 120.2. “HMC Department of Engineering”, http://www.eng.hmc.edu/EngWebsite/index.php, accessed on Jan. 13, 2008.3. Okudan, G., Ogot, M., Zappe, S., and Gupta, S., “Assessment of Learning and its Retention in the Engineering Design Classroom Part A: Instrument Development,” (CD) Proceedings, ASEE Conference and Exhibition, 2007.4. Okudan, G. Ogot, M. and Gupta, S., :Assessment of Learning & Its Retention in the Engineering Design Classroom Part B: Instrument Application,” Proceedings, ASME International Design Engineering Technical Conference IDETC, 2007.5. Torrance, E. P., Bau, E. O., & Safter, H. T. (1992). Torrance Tests of Creative Thinking: Streamlined scoring

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Graduate School Or Not: Engineering Students Consider Continuing Their Education In Co Terminal Programs

Conference Session: SPECIAL SESSION: Describing the Engineering Student Learning Experience Based on CAEE Findings: Part 2
Collection: 2008 Annual Conference & Exposition
Authors: Kristyn Jackson, Stanford University; Tori Bailey, Stanford University; Sheri Sheppard, Stanford University; Helen Chen, Stanford University
Tagged Divisions: Educational Research and Methods

for the future. F1 Please describe your plans over the next 5 years. What would you want to do after you complete your dual degree program? F2 Are you interested in pursing any additional graduate degrees in the future? Please list all the fields and degree programs of interest. a Anticipated Graduate Program(s): b Anticipated Graduate Degree(s): c Anticipated Start Date(s):Students could select to receive this questionnaire in electronic or hard-copy form. From thesecompleted questionnaires, one student who had not been identified through the final survey andinterviews, told us of plans

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Identifying And Remediating Deficiencies In Problem Solving In Statics

Conference Session: Problem Solving and Misconceptions
Collection: 2008 Annual Conference & Exposition
Authors: Thomas Litzinger, Pennsylvania State University; Carla Firetto, Pennsylvania State University; Lucas Passmore, Pennsylvania State University; Peggy Van Meter, Pennsylvania State University; Kelli Higley, Pennsylvania State University; Christine B. Masters, Pennsylvania State University; Francesco Costanzo, Pennsylvania State University; Gary L. Gray; Stephen Turns, Pennsylvania State University; Jonna Kulikowich
Tagged Divisions: Educational Research and Methods

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The Four Domain Development Diagram: A Tool For Designing Development Centered Teaching

Conference Session: Student Engagement and Motivation
Collection: 2008 Annual Conference & Exposition
Authors: Linda Vanasupa, California Polytechnic State University; Trevor Harding, California Polytechnic State University; William Hughes, California Polytechnic State University
Tagged Divisions: Educational Research and Methods

thesmall “s” near the arrow head indicating that changes in one cause changes in the samedirection in the other. So, a student’s internal drive for learning can be strengthened byenhancing any one of the three internal constructs. As an example, if a student is moreinterested in a topic, they have a greater motivation to learn which has been shown tolead to a greater exercise of autonomous actions to engage in learning12. Theserelationships work in the reverse direction as well. For example, someone who is notinterested in what they are learning will also exhibit a lower motivation.Engaging the internal drive for developmentFigure 1 lays out the conceptual idea of the learner as one with an internal drive forlearning within the context of their

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Artificial Intelligence Methods To Forecast Engineering Students' Retention Based On Cognitive And Non Cognitive Factors

Conference Session: Student Recruitment and Retention
Collection: 2008 Annual Conference & Exposition
Authors: P.K. Imbrie, Purdue University; Joe Jien-Jou Lin, Purdue University; Alexander Malyscheff, Purdue University
Tagged Divisions: Educational Research and Methods

the Gathering Storm: Energizing and Employing America for a Brighter Economic Future,National Academies Press, Washington, D.C., 2005.3. Beaufait, F. W. (1991). Engineering Education Needs Surgery, Proceedings of the Frontiers in EducationConference, September 1991, pp. 519-522.4. Astin, A. W. (1993). Engineering Outcomes, ASEE Prism, September 1993, pp. 27-305. Maller, S., Immekus, J., Imbrie, P. K., Wu, N. and McDermott, P. (2005).Work In Progress: An Examination ofEngineering Students’ Profile Membership Over the Freshman Year, Proceedings of the Frontiers in EducationConference, 2005.6. Imbrie, P. K. and Lin, J.J. (2007). Use of a Neural Network Model and Noncognitive Measures to PredictStudent Matriculation in Engineering, Proceeding of