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Conference Session
Student Attitudes and Perceptions
Collection
2010 Annual Conference & Exposition
Authors
Tuba Yildirim, University of Pittsburgh; Mary Besterfield-Sacre, University of Pittsburgh; Larry Shuman, University of Pittsburgh
Tagged Divisions
Educational Research and Methods
iterations and updates to their solution methodology (process). A student with highlevels of self-efficacy should, in theory, persist longer in modeling iterations and perform betterin creation of conceptual and calculational models. In contrast, low self-efficacy may inhibit thestudent’s effort even when the skill is present leading to discouragement.A common approach to measure self-efficacy, particularly in the context of student work, hasbeen to ask students to what extent they believe they can perform a certain task. However, asself-efficacy is task dependent and there is no common single method to measure it, we proposethat a separate scale needs to be developed for modeling. This is particularly true forengineering students; as how self
Conference Session
New Learning Paradigms II
Collection
2010 Annual Conference & Exposition
Authors
Chandra Austin, Utah State University
Tagged Divisions
Educational Research and Methods
has confidence in his orher ability to engage in occupational and educational decision making 17. Career decision self-efficacy, which was originally defined by Taylor and Betz 18, is measured in terms of self-appraisal, occupational information, goal selection, planning, and problem-solving 19. Qualityexploration of career development is the basis for career decision self-efficacy 16. Research hasused the Social Cognitive Career Theory (SCCT)20 and outcome expectations to predictbehavioral influences in careers. Ojeda et al. 21 reported that high levels of confidence are relatedto positive career behaviors and outcomes. Thus, there is no debate that behavior stronglyinfluences career decision self-efficacy. The interest comes when one
Conference Session
Retaining Women Engineering Students
Collection
2010 Annual Conference & Exposition
Authors
Rachelle Reisberg, Northeastern University; Margaret Bailey, Rochester Institute of Technology; Carol Burger, Virginia Tech; Jerry Hamann, University of Wyoming; Joe Raelin, Northeastern University; David Whitman, University of Wyoming
Tagged Divisions
Women in Engineering
-efficacy through the impact of contextual support.Self-efficacy was assessed through three measures – work, career, and academic – signifying the Page 15.1223.3confidence that students have in succeeding within the workplace, within their chosenengineering career, or in the classroom, respectively. Contextual support was measured as thesupport provided to students through a number of mechanisms, in particular, financial aid,mentors, advisors, family, friends, teachers, profession, campus life, and living/learningcommunities.This paper will present the survey methodology, the results to date regarding the effect of genderon self-efficacy through
Conference Session
Measurement Tools
Collection
2010 Annual Conference & Exposition
Authors
Adam Carberry, Tufts University; Matthew Ohland, Purdue University; Chris Swan, Tufts University
Tagged Divisions
Educational Research and Methods
writing self-efficacy assessment: Greater discrimination increases prediction. Measurement and Evaluation in Counseling and Development, 2001. 33: p. 214-221.32. Comrey, A.L. and J.W. Osborne, Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, & Evaluation, 2005. 10(7).33. Gorsuch, R.L., Factor analysis. 2nd ed. 1983, Hillsdale, NJ: Earlbaum.34. MacCallum, R.C., et al., Sample size in factor analysis. Psychological Methods, 1999. 4: p. 84-99.35. Rummel, R.J., Applied factor analysis. 1970, Evanston, IL: Northwestern University Press.36. Stevens, R., K. O'Connor, and L. Garrison. Engineering student identities in the navigation of the
Conference Session
Post BS Entrepreneurship Education Needs
Collection
2010 Annual Conference & Exposition
Authors
Andrew Borchers, Kettering University; Sung Hee Park, Kettering University; Michael Harris, Kettering University; William Riffe, Kettering University; Massoud Tavakoli, Kettering University
Tagged Divisions
Entrepreneurship & Engineering Innovation
somewhat amorphous concept such as entrepreneurial thinking and mindset. In this paper, the authors describe Kettering University’s efforts to measure faculty and student attitudes as we seek to infuse entrepreneurship across the curriculum. The paper discusses three specific measurement efforts. Our early efforts were formative and focused on student entrepreneurial mindset among engineering students studying entrepreneurship in a single course. Here we used measures of self-efficacy and locus of control as predictors of intention to start a business 2 3 4. Our second (and current) efforts focus on a pilot project designed to motivate faculty to alter their courses to include one or more of eleven
Conference Session
Understanding and Measuring the Impact of Multidisciplinarity
Collection
2010 Annual Conference & Exposition
Authors
Scott Schaffer, Purdue University; Daniel Gandara, Illinois Institute of Technology; Xiaojun Chen, Purdue University; Margaret Huyck, Illinois Institute of Technology; Jill May, Illinois Institute of Technology
Tagged Divisions
Multidisciplinary Engineering
pilot study shows that students' self-efficacy for specific cross-disciplinary team learning objectives was influenced by participation on team projects withothers from different disciplines. Further data collection will help better understand how teamcomposition, stage of project design, and individual factors such as year in school and priorexperience with similar projects impacts confidence levels.II. Development of cross-disciplinary team functioning measuresThe team also attempts to develop and measure teamwork in cross-disciplinary projectteams. Such teams consist of members with different functional experiences and abilities, andwill likely come from different departments within the organization 13. Many believe that inorder for
Conference Session
Mentoring Graduate Students, Diversity, and Assessment
Collection
2010 Annual Conference & Exposition
Authors
Stephen Thompson, University of South Carolina; Joy Watson, University of South Carolina; Jed Lyons, University of South Carolina
Tagged Divisions
Graduate Studies
been widely used to measurethe Science teaching efficacy of various teacher groups. A modified version of the STEBI-B wasused in this study. STEBI-B pre and post-study results (25-item survey) were obtained for 23GK-12 Fellows (13 in 2007-8 and 10 in 2008-9). Pre and post focus group data were alsoanalyzed using qualitative data analysis techniques. The STEBI-B contains two subscales.Personal Science Teaching Efficacy (PSTE) which captures the construct of self-efficacy andScience Teaching Outcome Expectancy (STOE) which measures outcome expectancy regardingScience teaching and learning. A dependent t-test, using an alpha of .05, was computed for thetwo subscales to determine if there was a significant difference between the mean scores for
Conference Session
Engineering in the Middle Grades
Collection
2010 Annual Conference & Exposition
Authors
Morgan Hynes, Tufts University; David Crismond, The City College of New York; Ethan Danahy, Tufts University
Tagged Divisions
K-12 & Pre-College Engineering
can lead to less effectivecurriculum implementation, and, even worse, lower student efficacy in that content area 20.The project team did not have a validated tool to measure the teachers’ EDP content knowledge,but were able to use a newly validated tool to measure the teachers EDP. The EngineeringDesign Self-efficacy Survey developed by Carberryet al.21measures one’s self-efficay,motivation, expectancy, and anxiety towards carrying out the EDP. The tool was developed todiscern individuals self-efficacy towards the EDP and was applied to groups ranging from littleto no engineering background to experts in the field (professional engineers and engineeringprofessors).ResultsThe teachers who participated in the summer workshop each took the
Conference Session
Special Session: Impacts of Service in Engineering
Collection
2010 Annual Conference & Exposition
Authors
Trevor Harding, California Polytechnic State University; Lynne Slivovsky, California Polytechnic State University; Nina Truch, California Polytechnic State University
Tagged Divisions
Educational Research and Methods
the psychological constructs are shown in Table 2. Eachconstruct was measured with at least one instrument, but in some cases several such instrumentswere used. For example, we defined self-efficacy as the belief that one is capable of performinga certain task or tasks in order to achieve a desired goal. From this definition, it is apparent thatany measure of self-efficacy would be highly dependent on the tasks and goals in question. AsTable 1 indicates, we were interested in assessing students’ self-efficacy surrounding both designand life-long learning. A review of the literature failed to produce validated instruments foreither objective. Consequently, we developed our own instrument based on the work of AlbertBandura.9 As Table 2 shows
Conference Session
IE and the Classroom
Collection
2010 Annual Conference & Exposition
Authors
Lesley Strawderman, Mississippi State University; Laura Ruff, Mississippi State University
Tagged Divisions
Industrial Engineering
retention rates, degree attainment, and grade point averages, additionalliterature suggests that students’ efficacy beliefs may be an important measure of courseeffectiveness5. Self-efficacy, as first described by Bandura6, can positively or negativelyinfluence behavior based on a person’s perception of his abilities to successfully complete a task.Self-efficacy beliefs of undergraduate students in STEM (i.e. Science, Technology, Engineeringand Mathematics) majors have been linked to success and persistence within these fields7.Additionally, self-efficacy beliefs have been shown to affect interest, expectations, and choicesof engineering students8-9.Previous work examined self-efficacy beliefs of students in relation to their expectations
Conference Session
Students' Abilities and Attitudes
Collection
2010 Annual Conference & Exposition
Authors
Chih Hsien Huang, MingChi University of Technology
Tagged Divisions
Mathematics
behavior domainsexplore the relation between attitude and its internal factors of calculus learning amongengineering students in Taiwan. This study used theory and related research to develop aquestionnaire research tool. The internal factors of calculus learning that we choose wereusefulness, self-efficacy, motivation, anxiety, and, learning habits. The contributions of thisstudy are as follows The findings show that a high percentage of students do not havepositive attitudes toward calculus. A statistical significant difference existed in the meanscores for males and females in the calculus attitudes scale. Specifically, statistical significantdifferences were detected between males and females in two attitude domains: cognitive andbehavior. The
Conference Session
NSF Grantees Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Lisa Schneider, Cornell University; Maria Terrell, Cornell University Math Dept.
nine workshops per semester rather thanfourteen, and one problem per workshop rather than two.During the Fall 2009 semester we ran a pilot pre- and post-test administration of the first draft ofboth assessment instruments – one measuring students’ abilities to use mathematics in appliedproblem-solving (MAI); and the other to gauge students' self-efficacy perceptions related tostudying engineering and to learning and applying mathematics (EMPS). The instrumentdevelopment and pilot-test administration processes are described in the following sections.Instrument Development:Mathematics Applications Inventory (MAI)The Mathematics Applications Inventory, MAI, is intended to measure the level at which firstyear undergraduate engineering students can
Conference Session
Sustainability in Engineering Curricula
Collection
2010 Annual Conference & Exposition
Authors
Mary McCormick, Tufts University; Kristina Lawyer, Michigan Technological University; Meredith Berlin, University of Colorado - Boulder; Chris Swan, Tufts University; Kurt Paterson, Michigan Technological University; Angela Bielefeldt, University of Colorado, Boulder; Jonathan Wiggins, University of Colorado, Boulder
Tagged Divisions
Environmental Engineering
engineering design is unclear. The objective of thisresearch is to measure whether students who have service learning experience have a deeperunderstanding of sustainable engineering than their counterparts who do not have servicelearning experience. The research design is comprised of three evaluations: sustainableengineering design, self-efficacy towards sustainable engineering, and epistemological beliefstowards general engineering. Each evaluation will be performed on engineering students at threedifferent institutions which employ varying types of service learning programs; Tufts University,Michigan Technological University, and University of Colorado-Boulder. Students enrolled inthe Civil and Environmental Engineering Senior Design/Capstone
Conference Session
Student Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Joe Jien-Jou Lin, Purdue University; P.K. Imbrie, Purdue University; Qu Jin, Purdue University
Tagged Divisions
Students Constituent Committee
test scores, and thegrades and number of semesters in math, science and English courses in high school. The non-cognitive variables were collected through Student Attitudinal Success Instrument (SASI). Thefirst phase of SASI covered the following nine constructs: Leadership, Deep Learning, SurfaceLearning, Teamwork, Academic Self-efficacy, Motivation, Meta-cognition, Expectancy-value,and Major Decision. Later in 2007, five new constructs were added into SASI. These newconstructs are: Goal Orientation, Implicit Beliefs, Intent to Persist, Social Climate and SelfWorth.Cognitive and non-cognitive data, as well as students’ retention status after first year have beencollected from the freshman cohorts of 2004-2009, with 1500 to 1700 entering
Conference Session
The Influence of Cooperative Education
Collection
2010 Annual Conference & Exposition
Authors
Alexander Yin, Pennsylvania State University
Tagged Divisions
Cooperative & Experiential Education
manipulation of information isgoal-directed. The ease of this process is dependent on the engineer’s level of expertise incontent knowledge (declarative knowledge) and procedural knowledge (i.e., she knows when touse a particular algorithm, formula or process) (d and e). Evaluation of the process andjudgments of alternative outcomes (i) may be influenced by the engineer’s personal skills andbias on whether the project is a success or not (i.e., maybe the bridge met the functionalspecifications but failed from an aesthetic perspective).Self-Perception of Problem-Solving Skills Bandura's self-efficacy theory postulates that an individual’s confidence rises when hehas mastered a skill through experiencexx. Self-efficacy studies in STEM fields
Conference Session
Engineering Professional Development for K-12 Teachers
Collection
2010 Annual Conference & Exposition
Authors
Elsa Head, Tufts University; Adam Carberry, Tufts University
Tagged Divisions
K-12 & Pre-College Engineering
-teachercollaboration can provide teachers with the expertise and tools necessary to overcome lowconfidence, which may inhibit their ability and willingness to teach these topics.5For the purposes of this paper, we will be examining aspects of STOMP regarding K-12teachers’ acquisition of STEM content knowledge. We will specifically look at engineering andtechnology, which are the most recent additions to the Massachusetts’ Curriculum Frameworks.2We will take a closer look at the three-phase model that governs the program and the roles of theK-12 teacher. We will also investigate how this program affects teacher self-efficacy,perceptions, and interest regarding the teaching of engineering and technology.Theoretical FrameworkTo ensure that teachers gradually
Conference Session
Teams and Teamwork in Design
Collection
2010 Annual Conference & Exposition
Authors
Senay Purzer, Purdue University
Tagged Divisions
Design in Engineering Education
AC 2010-1446: THE MERIT KIT: METHODS FOR EVALUATING ROLES ANDINTERACTIONS IN TEAMSSenay Purzer, Purdue University Senay Purzer is an Assistant Professor in the School of Engineering Education at Purdue University. She is also the Co-Director of Assessment Research for the Institute for P-12 Engineering Research and Learning (INSPIRE). She received a Ph.D. and a M.A in Science Education, Department of Curriculum and Instruction from Arizona State University. Her creative research focuses on collaborative learning, design & decision-making, and the role of engineering self-efficacy on student achievement
Conference Session
Thermodynamics, Fluids, and Heat Transfer-Part I
Collection
2010 Annual Conference & Exposition
Authors
Simin Hall, College of Engineering at Virginia Tech; Catherine Amelink, Virginia Tech; Sam Conn, Virginia Tech
Tagged Divisions
Mechanical Engineering
the 45 students enrolled in the course, 35 (29 men, 6 women) students completed the survey.Mean scores were computed for each item on the survey. Factor analysis was used to developthree scales for the three constructs measured by the survey. Chronbach alpha scores were usedto ensure reliability for the three scales. The mean age for the 35 students were 20.5 (SD=.92).C. Results from Survey:C.1. Self-EfficacyThe mean of self-efficacy in problem solving was 4.23 (SD=.54) for all 35 students with areliability coefficient of 0.82. Therefore, they were confident about their general problem solvingskills in engineering courses, revealing a high degree of self-efficacy. The mean and standarddeviation for each item that comprised the scale is shown
Conference Session
NSF Grantees Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Jacquelyn Kelly, Arizona State University; Aaron Graham, Arizona State University; Andrea Eller, Arizona State University; Dale Baker, Arizona State University; Amaneh Tasooji, Arizona State University; Stephen Krause, Arizona State University
here on theresearch question of, “How can we use class reflections to support student learning, attitude, andretention?” Assessment of the Class Reflection Points through emergent themes coding indicatesthat responses to the Most Interesting Point show students' quite active engagement in content,activities, and team member interactions. The Muddiest Point shows confusion, uncertainty, orlack of self efficacy on sometimes a narrow content slice, sometimes scattered concepts ofconfusion, and sometimes no muddiest point at all. The instructor is frequently surprised that hisperception of his clarity of content concept and presentation that do not always align with studentcomments. Analysis of the Take Away Point indicates responses are strongly
Conference Session
Engaging Students in Learning
Collection
2010 Annual Conference & Exposition
Authors
HuiRu Shih, Jackson State University; Wei Zheng, Jackson State University; Tzusheng Pei, Jackson State University; Gordon Skelton, Jackson State University; Evelyn Leggette, Jackson State University
Tagged Divisions
Engineering Technology
, especially, self-efficacy.6.1 Expandable IntelligenceOne important aspect in SRL is to regulate the learners’ motivation. Psychological instructionmodel of Expandable Intelligence (EI) is established based on new psychological findings thatlearners’ belief on their intelligence has a profound influence on their motivation to learn. Withthe belief that intelligence can be expanded (as opposed to the view of fixed intelligence),learners are able to attribute their successes or failures to factors within their control (e.g. efforton a task, or effective use of strategies) rather than their ability. They can be motivated to uselearning strategies and persist in their learning efforts for expanding their intelligence21.6.2 Enhance Students’ MotivationAs
Conference Session
Mentoring & Outreach for Girls & Minorities
Collection
2010 Annual Conference & Exposition
Authors
Keith Holbert, Arizona State University; Lisa Grable, North Carolina State University; Patricia Dixon, Florida State University; Sharon Schulze, North Carolina State University
Tagged Divisions
K-12 & Pre-College Engineering
Institutional Review Board at each university, with anapplication package including the survey instruments and informed consent letters for teachersand students. In addition to quantitative measures of participation and diversity, the assessmentincludes attitudinal measures of problem-solving and self-efficacy.8,9,10 Also, qualitativereflections completed by teachers, Young Scholars, and middle school students are collectedonline at the completion of each activity. Mentors and ERC precollege staff perform Page 15.969.6longitudinal follow-up electronically. This follow-up itself may have a positive effect onprecollege participants, helping them see
Conference Session
Teaching Mechanical Systems: What's New
Collection
2010 Annual Conference & Exposition
Authors
Ashok Kumar Manoharan, Auburn University; P.K. Raju, Auburn University; Chetan Sankar, Auburn University
Tagged Divisions
Mechanical Engineering
concepts. Inaddition, three case studies were used in the experimental section. Four class periods were setaside for presenting and discussing case studies. The assessment of student learning in both institutions was conducted through the use ofa questionnaire that measured the students’ perceptions on achieving higher-order cognitiveskills, improvement in self-efficacy, and improvement in team working skills11. Thesequestionnaires were completed by the students in the experimental and control sections at thestart and end of the course. The items in the questionnaire were combined to compute the meansand standard deviation of the measures. Table 2 shows the results that were computed for theexperimental and control sections at both Auburn
Conference Session
Aerospace Technical Session
Collection
2010 Annual Conference & Exposition
Authors
Edward Crawley, MIT; Robert Niewoehner, United States Naval Academy; Jean Koster, University of Colorado, Boulder
Tagged Divisions
Aerospace
development skills necessary to translate technicalknowledge into competitive products; and self confidence in learning (self-efficacy). We’ve introduced the innovative adaptation of new tools for student learning assessment toaeronautics education. Assessment of self-confidence in learning will be used both as animportant educational outcome and as a means to better understand the dynamics of careerdevelopment. There is a rich literature that has addressed the importance of having self-confidence that one can successfully perform the tasks necessary to achieve larger goals. Thisform of self-confidence, called self-efficacy,22 is not a general personality trait like self-esteem,but instead varies from one domain to another as individuals gain
Conference Session
NSF Grantees Poster Session
Collection
2010 Annual Conference & Exposition
Authors
Robert Culbertson, Arizona State University; Dale Baker, Arizona State University; Janice Meyer Thompson, Arizona State University; Christopher Mehrens, Arizona State University; Stephen Krause, Arizona State University
co-editor of the Journal of Research in Science Teaching. She has experience in the evaluation of a number of NSF projects including a Bridging Engineering and Education and a current TPC program. She has been a faculty member in science curriculum and instruction and has taught and developed courses in assessment, equity, and bridging engineering and education. She has been involved in the development of innovative science teaching curricular activities and is a co-PI of an NSF TPC project that is providing community college science teachers with authentic science inquiry and writing experiences. She is contributing to the effective formative and summative assessment of self-efficacy
Conference Session
Think Outside the Box! K-12 Engineering Curriculum
Collection
2010 Annual Conference & Exposition
Authors
Heath Tims, Louisiana Tech University; Krystal Corbett, Louisiana Tech University; Galen Turner, Louisiana Tech University; David Hall, Louisiana Tech University
Tagged Divisions
K-12 & Pre-College Engineering
-world applications of science and engineering. This project provides a hands-on, contextualapproach to student learning, as well as teacher professional development. As part of thecurriculum, data is being collected on student outcomes that quantify high school students’academic self-efficacy, real world problem solving, critical thinking skills, achievement inmathematics and the sciences, motivational and goal orientation, and vocational or careerinterests in STEM fields. Additionally, teacher outcomes, including self-efficacy, are beingmeasured. This poster/paper will present the curriculum developed through the collaborativepartnership between K12 schools systems and university.IntroductionNumerous publications in recent years have expressed
Conference Session
Teaching Mechanics of Materials & General Mechanics
Collection
2010 Annual Conference & Exposition
Authors
Shaobo Huang, Utah State University; Ning Fang, Utah State University
Tagged Divisions
Mechanics
, allowing education researchers andpractitioners to “see” how the predicted results are generated, and thus the predicted results canbe interpreted in a reasonable and meaningful way 11. For example, Green 12 developed a set oflinear regression models for three mechanical engineering courses to predict a student’s finalexam score from the student’s scores in mid-term quizzes. A modest correlation was foundbetween a student’s final exam score and mid-term exam scores. Yousuf 13 developed amultivariate linear regression model to predict student academic performance in ComputerScience and Engineering Technology programs. The predictor/independent variables ofYousuf’s model 13 included a student’s career self-efficacy belief, math-SAT scores, high
Conference Session
Teacher and Counselor Professional Development
Collection
2010 Annual Conference & Exposition
Authors
Laura Bottomley, North Carolina State University; Justin Osterstrom, Combs Elementary Scho
Tagged Divisions
K-12 & Pre-College Engineering
this data is quite timely, because this course isunique among offerings across the country. The pre-service teachers in the class represented avariety of backgrounds, but generally displayed lower self-efficacy than engineering students oftheir age. The general lack of understanding of such students with regards to engineering,including the differences and similarities among the various STEM disciplines as well as theirown feelings of fear and/or inadequacy when faced with problem solving tasks may represent asignificant barrier to the potential recruiting success of future engineering students. This paperwill describe the results of self-efficacy assessments, the methods used in presentation of thecourse material and the ways in which the
Conference Session
Enhancing CE Learning Through Use of Technology
Collection
2010 Annual Conference & Exposition
Authors
Ghulam Bham, Missouri University of Science and Technology; Dan Cernusca, Missouri University of Science and Technology; Uday Manepalli, Missouri University of Science and Technology; Ronaldo Luna, Missouri University of Science and Technology
Tagged Divisions
Civil Engineering
could choose “I don’t know” option. That is, a “0” was given for a wrong answer, a “1” was given for selecting “I don’t know” and finally a “2” was given for a correct answer. The adjusted assessment score was computed as the percentage of the sum of answers to seven assessment questions to maximum possible score (14 in this case). Page 15.1114.7  Exit self-efficacy, self-reported motivation, perceived usefulness, and perceived difficulty of laboratory activity measured with the previously mentioned tool and ranged from 1 to 5 for self
Conference Session
Embedded System Design
Collection
2010 Annual Conference & Exposition
Authors
Paul Weber, Lake Superior State University
Tagged Divisions
Electrical and Computer
Student Presentations”12 with the basis for several modifications havingbeen described in “Inherently Adaptable Education through Student Presentations”11. One of theprimary methods of student motivation in the presentation is the utilization of student choice. Ithas been shown that there is a high correlation between student choice and the students’ self-efficacy and motivation to learn2, 13. In addition, changes have been made to the originalpresentations to incorporate a marketing style format to better mimic a real-life situation, theimportance of which has been explained by Bhagat3. Lastly, research has shown the usefulness ofboth cooperation and competition in learning environments7. The presentations combined both asstudents must work
Conference Session
Classroom Engagement
Collection
2010 Annual Conference & Exposition
Authors
Tamara Floyd-Smith, Tuskegee University; Denise Wilson, University of Washington; Ryan Campbell, University of Washington; Rebecca Bates, Minnesota State University, Mankato; Diane Jones, University of Washington; Donald Peter, Seattle Pacific University; Melani Plett, Seattle Pacific Univ; Elaine Scott, Seattle Pacific University; Nanette Veilleux, Simmons College
Tagged Divisions
Educational Research and Methods
the conceptual model, Table 1 provides examples of Likert-scale items and the inputs oroutputs that they measure. The items are measured on a scale of 1 to 5 where 1 is stronglydisagree and 5 is strongly agree. Figure 2: Conceptual Model of Outcomes of Engagement Table 1: Examples of Likert-scale Survey Items Input/Output Likert-scale Item University PSC There is a social atmosphere on campus. Classroom Belonging I feel accepted in class. Locus of Control Persistence and hard work usually lead to success. Self Efficacy I expect to do very well in this