Conference Session

Modeling and Problem-Solving

Collection

2011 ASEE Annual Conference & Exposition

Authors

Morris M. Girgis, Central State University

Tagged Divisions

Educational Research and Methods

’ feedback and reflection on the pre-test and initial knowledge and skills.2. Review and Explain the concepts needed for problem- Preparing students andLecture Session solving. The lecture is based on the pre-test keeping them motivated results and students’ feedback.3. Laboratory Session Assemble and measure one-spring-beam Engaging students in under loading to experimentally determine hands-on activity system behavior and compare results with estimated analytical values.4. Preparatory Students work on simple problems similar to Scaffolding and

Conference Session

Knowing Ourselves: Research on Engineering Education Researchers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Johannes Strobel, Purdue University, West Lafayette; David F. Radcliffe, Purdue University, West Lafayette; Prashant Rajan, Purdue University, West Lafayette; Sadia Nawaz, Purdue University, West Lafayette; Yi Luo, Purdue University; Jea H. Choi, Purdue University; Ji Hyun Yu, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

, representative of the emerging field ofresearch in engineering education. Second, we present a case study based on a data samplecollected through our keyword-based search process to explain the dynamics associated with theemergence of research collaboration within the domain of engineering education. The case studycomprises a longitudinal (time series) analysis of co-authorship data from the bibliographicrecords for the Frontiers in Education (FIE) conference. Our analysis explains the FIE in terms ofa self-organizing network, which operates in accordance with an internal dynamic of preferentialattachment that is reflected in the actions of individual authors.The Network Perspective

Conference Session

K-12 Students and Teachers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Micah S. Stohlmann, University of Minnesota; Tamara J. Moore, University of Minnesota, Twin Cities; Young Rae Kim, University of Minnesota, Twin Cities; Mi Sun Park, University of Minnesota, Twin Cities; Gillian Roehrig, University of Minnesota

Tagged Divisions

Educational Research and Methods

problem-solving tasks. Thus it also provides teachers and researchers with a starting point to track students’ misconceptions. This subtask includes variable selection and determining how much of the data are used. Students need to choose reasonable variables to reflect their definitions of problem tasks. Sampling They determine what data is appropriate to describe or explain the given problem contexts strategies based on their definitions. Beyond variable selection, students need to explore the nature of data so that the amount of data used is representative of the sample. A critical look at the data is required. Students

Conference Session

Digital Technologies and Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

James Herold, University of California, Riverside; Thomas Stahovich, University of California, Riverside; Han-lung Lin, University of California, Riverside ; Robert C. Calfee, University of California, Riverside

Tagged Divisions

Educational Research and Methods

an element is missing, we recordthis as being both incorrect and missing.A student who does not attempt a solution step demonstrates a lower level ofunderstanding than a student who does attempt that step but makes errors. To ensurethat the assessment method reflects this, all error indicators of a solution step are markedas incorrect if a student made no attempt at that step.In the following section we describe the major problem-solving steps and correspondingerror indicators for both the belt and wedge friction problems.Belt Friction Error IndicatorsOur assessment of performance on belt friction problems considers five major solutionsteps: constructing the flywheel FBD; constructing the equilibrium equation for theflywheel; constructing

Conference Session

Professional Identity

Collection

2011 ASEE Annual Conference & Exposition

Authors

Melani Plett, Seattle Pacific University; Caitlin Hawkinson, Seattle Pacific University; Jennifer J. VanAntwerp, Calvin College; Denise Wilson, University of Washington; Crystal Bruxvoort, Calvin College

Tagged Divisions

Educational Research and Methods

the following best describes your work experience since graduating. a. I am presently working as an engineer, or seeking to work as an engineer. b. I am currently choosing not to work as an engineer, but I did work as an engineer for some period of time since graduating. c. I have not worked as an engineer since graduating, but I have previously sought engineering employment. d. I have not worked as an engineer since graduating, and I have not sought engineering employment. Indicate the degree to which the following statements are true for you. (Answer options for each statement were from 1 to 5, or strongly disagree to strongly agree.) 2) Being an engineer is an important reflection of who I am. 3) I feel

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Roman Taraban, Texas Tech University; Kristin E. Oliver, Texas Tech University

Tagged Divisions

Educational Research and Methods

response was not due simply togreater knowledge, but to their beliefs about how one should respond to and interact withinformation. The Reader Belief Inventory (RBI) measures students‟ beliefs about text.17 The RBI consistsof two subscales, reflecting transmission and transaction beliefs. Transmission beliefs treat textas a means of direct communication between author and reader, without interpretation (e.g., anitem from the transmission subscale: The main purpose of reading is to understand what theauthor says). If a reader holds this view, he expects the author to communicate factualinformation in a direct fashion. The author is the authority. From a transmission perspective,reading is a one-way, linear process: the author presents it and the

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Eckehard Doerry, Northern Arizona University; James Dean Palmer, Northern Arizona University

Tagged Divisions

Educational Research and Methods

reflect on their teaming success.This "open evaluation" model is similar to Clark [6], who advocates for open discussions of peerevaluations as a basis learning and improvement. Scores from the Teamwork Report werecounted as 10% of the final course score.Version 1: EvaluationThis approach at first appeared to be successful, with insightful narratives of successfulteamwork appearing in Teamwork Reports. It soon became apparent, however, that thegenerally positive reviews appearing in the reports often did not match up with reality. In manycases, serious dissatisfactions with teammates revealed in private office consultations withinstructors never appeared in the peer ratings or, if they did, then in much milder form. Evenwhen poor performance was

Conference Session

Research on Engineering Design Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ann F. McKenna, Arizona State University, Polytechnic campus; Gül E. Okudan Kremer, Pennsylvania State University, University Park; Carolyn Plumb, Montana State University; Hyun Kyoung Ro, Penn State University; Alexander Yin, Pennsylvania State University, University Park

Tagged Divisions

Educational Research and Methods

, Page 22.221.6race/ethnicity, parents’ education, class-year, disciplines, and SAT scores) and then on measures 
of six academic (classroom and curricular) and ten out-of-class student experiences that theliterature indicates are related to learning and skill development18, 19.Variables UsedThe Design Skills scale is the criterion measure for this paper. This scale contained 12 items(alpha = .92) reflecting engineering students’ reports of their self-assessed ability on design skills.Table 1 gives this scale’s item-content and descriptive statistics.Four sets of independent variables are used: sociodemographic (Table 2); classroom experiences(Table 3); curricular experiences (Table 4); and out-of-class experiences (Table 5

Conference Session

Knowing Ourselves: Research on Engineering Education Researchers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Xin (Cindy) Chen, Purdue University; Nikitha Sambamurthy, Purdue University; Corey M. Schimpf, Purdue University, West Lafayette; Hanjun Xian, Purdue University, West Lafayette; Krishna Madhavan, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

organization evolving within Del.icio.us (http://del.icio.us, referred to as“Delicious”, also http://www.delicious.com) and Flickr (http://www.flickr.com)20. It is aconflation of “folk” and “taxonomy.” Nowadays, folksonomy generally represents theassemblage of tags generated through tagging6,10,21. This paper is primarily concerned with thefolksonomy generated from weighted tagging, as tags themselves combined with the assignedweight and confidence will reflect core concepts. Additionally changes and patterns in thefolksonomy will reveal trends in engineering education research.In addition to the property discussed above, many other properties of folksonomies have beenuncovered. An important finding is that as more users tag a resource, these tags

Conference Session

Active and Inquiry-Based Learning

Collection

2011 ASEE Annual Conference & Exposition

Authors

Muhsin Menekse, Arizona State University; Glenda Stump, Arizona State University; Stephen J. Krause, Arizona State University; Michelene T.H. Chi, Arizona State University

Tagged Divisions

Educational Research and Methods

Explain/Elaborate Question-Answer zoning out Look/Attend Justify/Reason Reciprocal teaching Underline/Highlight Connect/Integrate Argue/Challenge Gesture/Point Answer Questions Collaborate Summarize Reflect/Predict Peer tutoring Paraphrase Self-monitor/Regulate Monitor/Feedback Manipulate tape Compare