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            type="text/xsl"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="http://onlinelibrary.wiley.com/rss/journal/10.1111/(ISSN)1540-4609" xmlns="http://purl.org/rss/1.0/"><title>Decision Sciences Journal of Innovative Education</title><description> Wiley Online Library : Decision Sciences Journal of Innovative Education</description><link>http://dx.doi.org/10.1111%2F%28ISSN%291540-4609</link><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc</dc:publisher><dc:language xmlns:dc="http://purl.org/dc/elements/1.1/">en</dc:language><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/">© 2012 by the Decision Sciences Institute</dc:rights><prism:issn xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">1540-4595</prism:issn><prism:eIssn xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">1540-4609</prism:eIssn><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><prism:coverDisplayDate xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">January 2012</prism:coverDisplayDate><prism:volume xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10</prism:volume><prism:number xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">1</prism:number><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">1</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">135</prism:endingPage><image rdf:resource="http://onlinelibrary.wiley.com/store/10.1111/dsji.2012.10.issue-1/asset/cover.gif?v=1&amp;s=b22be273b7c705bf2d8ad90970cc18d2d0a0cdc2"/><items><rdf:Seq><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00335.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00333.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00331.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00332.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00329.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00323.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00334.x"/><rdf:li rdf:resource="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00328.x"/></rdf:Seq></items></channel><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00335.x" xmlns="http://purl.org/rss/1.0/"><title>IN THIS ISSUE</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00335.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">IN THIS ISSUE</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Chetan S. Sankar</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00335.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00335.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00335.x</prism:url><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">1</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">2</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[]]></content:encoded><description/></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00333.x" xmlns="http://purl.org/rss/1.0/"><title>Skype Synchronous Interaction Effectiveness in a Quantitative Management Science Course</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00333.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Skype Synchronous Interaction Effectiveness in a Quantitative Management Science Course</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Kenneth David Strang</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00333.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00333.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00333.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">3</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">23</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>An experiment compared asynchronous versus synchronous instruction in an online quantitative course. Mann-Whitley U-tests, correlation, analysis of variance, <em>t</em> tests, and multivariate analysis of covariance (MANCOVA) were utilized to test the hypothesis that more high-quality online experiential learning interactions would increase grade. Quasi-experimental controls included prior ability and demographic factors (gender, age). The control group used asynchronous discussion forums while the test group held synchronous sessions in Skype (chat, audio, and document sharing). A statistically significant MANCOVA model was created, using teaching method as a factor, and a count of online interactions (as a covariate), with assessment timing (as a blocking factor), to measure effect on grade.</p></div>]]></content:encoded><description>An experiment compared asynchronous versus synchronous instruction in an online quantitative course. Mann-Whitley U-tests, correlation, analysis of variance, t tests, and multivariate analysis of covariance (MANCOVA) were utilized to test the hypothesis that more high-quality online experiential learning interactions would increase grade. Quasi-experimental controls included prior ability and demographic factors (gender, age). The control group used asynchronous discussion forums while the test group held synchronous sessions in Skype (chat, audio, and document sharing). A statistically significant MANCOVA model was created, using teaching method as a factor, and a count of online interactions (as a covariate), with assessment timing (as a blocking factor), to measure effect on grade.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00331.x" xmlns="http://purl.org/rss/1.0/"><title>Using Continuous Improvement to Enhance an Online Course</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00331.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Using Continuous Improvement to Enhance an Online Course</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Anil K. Aggarwal</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Susan A. Lynn</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00331.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00331.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00331.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">25</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">48</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>Assessment is becoming important from many different perspectives. Universities are planning, developing, and testing various assessment models to satisfy stakeholders. Many accrediting agencies are also requiring assessment plans and their implementation from universities for reaccreditation. This article describes how assessment was used to continuously improve a database course in a Web MBA program, and combines Deming's Plan-Do-Check-Act (PDCA) cycle with Bloom's taxonomy to develop rubrics for problem solving learning objectives in an online course. Results from direct and indirect measurements are used to improve the course. Specifically, two semester results are compared for course assessment. Results show some improvement; however, the course requires continuous improvement to meet benchmarks. The model presented here is generic in nature and should be useful for all educators who plan to initiate or continue the assessment and continuous improvement process. Instead of reinventing the wheel, educators can learn from our experiences and use the results as a starting point for their own assessment programs.</p></div>]]></content:encoded><description>Assessment is becoming important from many different perspectives. Universities are planning, developing, and testing various assessment models to satisfy stakeholders. Many accrediting agencies are also requiring assessment plans and their implementation from universities for reaccreditation. This article describes how assessment was used to continuously improve a database course in a Web MBA program, and combines Deming's Plan-Do-Check-Act (PDCA) cycle with Bloom's taxonomy to develop rubrics for problem solving learning objectives in an online course. Results from direct and indirect measurements are used to improve the course. Specifically, two semester results are compared for course assessment. Results show some improvement; however, the course requires continuous improvement to meet benchmarks. The model presented here is generic in nature and should be useful for all educators who plan to initiate or continue the assessment and continuous improvement process. Instead of reinventing the wheel, educators can learn from our experiences and use the results as a starting point for their own assessment programs.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00332.x" xmlns="http://purl.org/rss/1.0/"><title>Cutting Class Harms Grades</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00332.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Cutting Class Harms Grades</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Lewis A. Taylor III</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00332.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00332.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00332.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">49</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">61</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>An accessible business school population of undergraduate students was investigated in three independent, but related studies to determine effects on grades due to cutting class and failing to take advantage of optional reviews and study quizzes. It was hypothesized that cutting classes harms exam scores, attending preexam reviews helps exam scores, taking optional exam preparation quizzes helps exam scores, and earlier exam scores in the semester predict later exam scores. Using an objective measurement method of actual events and actual exam scores instead of the predominant nonexperimental survey method most often used, it was found that all hypotheses were significant and supported in the predicted direction. Implications for professors and students are provided, revealing that cutting class, missing preexam reviews, and ignoring chapter quizzes effects are real and they matter.</p></div>]]></content:encoded><description>An accessible business school population of undergraduate students was investigated in three independent, but related studies to determine effects on grades due to cutting class and failing to take advantage of optional reviews and study quizzes. It was hypothesized that cutting classes harms exam scores, attending preexam reviews helps exam scores, taking optional exam preparation quizzes helps exam scores, and earlier exam scores in the semester predict later exam scores. Using an objective measurement method of actual events and actual exam scores instead of the predominant nonexperimental survey method most often used, it was found that all hypotheses were significant and supported in the predicted direction. Implications for professors and students are provided, revealing that cutting class, missing preexam reviews, and ignoring chapter quizzes effects are real and they matter.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00329.x" xmlns="http://purl.org/rss/1.0/"><title>E-Textbooks and Students’ Learning Experiences</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00329.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">E-Textbooks and Students’ Learning Experiences</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Jun Sun</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Javier Flores</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Jesus Tanguma</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00329.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00329.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00329.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">63</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">77</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>The contribution of the e-textbooks can be enormous considering their additional supporting features, but adoption has not crystallized yet. This study examines the relevant experiences of college students in terms of how the use of e-textbooks may enhance their learning. A survey study was conducted to measure the perceptions of each student on how helpful an e-textbook is for facilitating learning (i.e., E-book Helpfulness), how well it promotes his/her involvement in learning (i.e., Student Involvement), and how much improvement it makes on learning outcome (i.e., Learning Outcome). Results indicate that e-textbooks are perceived as enhancers of student learning experiences in two complementing routes: (1) E-textbook Helpfulness enhances students’ learning outcomes directly and (2) Student Involvement plays an important mediating role between E-textbook Helpfulness and Learning Outcome if students use e-textbooks in class. These findings suggest that the successful adoption of e-textbooks requires schools to provide necessary resources (e.g., computer labs) and instructors to actively engage students in using e-textbooks.</p></div>]]></content:encoded><description>The contribution of the e-textbooks can be enormous considering their additional supporting features, but adoption has not crystallized yet. This study examines the relevant experiences of college students in terms of how the use of e-textbooks may enhance their learning. A survey study was conducted to measure the perceptions of each student on how helpful an e-textbook is for facilitating learning (i.e., E-book Helpfulness), how well it promotes his/her involvement in learning (i.e., Student Involvement), and how much improvement it makes on learning outcome (i.e., Learning Outcome). Results indicate that e-textbooks are perceived as enhancers of student learning experiences in two complementing routes: (1) E-textbook Helpfulness enhances students’ learning outcomes directly and (2) Student Involvement plays an important mediating role between E-textbook Helpfulness and Learning Outcome if students use e-textbooks in class. These findings suggest that the successful adoption of e-textbooks requires schools to provide necessary resources (e.g., computer labs) and instructors to actively engage students in using e-textbooks.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00323.x" xmlns="http://purl.org/rss/1.0/"><title>Design Features for Online Examination Software</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00323.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Design Features for Online Examination Software</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Gerald V. Post</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Jace Hargis</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00323.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00323.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00323.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">79</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">107</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>Online education and computer-assisted instruction (CAI) have existed for years, but few general tools exist to help instructors create and evaluate lessons. Are these tools sufficient? Specifically, what elements do instructors want to see in online testing tools? This study asked instructors from various disciplines to identify and evaluate the importance of several features that they want to see in testing tools. Along with standard elements, the respondents evaluated the importance of more advanced elements including adaptive responses and programmability, which would be used to add responsiveness and intelligence to provide more tailored questions and assistance. A latent variable analysis of the detailed model was performed and the results reveal that several advanced features not commonly available today would be useful to many instructors—particularly to handle higher level courses. Instructors teaching lower level courses tended to emphasize basic testing and simple grading features. The features were grouped into nine categories: question formats, feedback, programmability, grading, question bank, page display capabilities, platform, data analysis, and security. The results of the study examine the relative importance of the categories as well as the detail items within each category.</p></div>]]></content:encoded><description>Online education and computer-assisted instruction (CAI) have existed for years, but few general tools exist to help instructors create and evaluate lessons. Are these tools sufficient? Specifically, what elements do instructors want to see in online testing tools? This study asked instructors from various disciplines to identify and evaluate the importance of several features that they want to see in testing tools. Along with standard elements, the respondents evaluated the importance of more advanced elements including adaptive responses and programmability, which would be used to add responsiveness and intelligence to provide more tailored questions and assistance. A latent variable analysis of the detailed model was performed and the results reveal that several advanced features not commonly available today would be useful to many instructors—particularly to handle higher level courses. Instructors teaching lower level courses tended to emphasize basic testing and simple grading features. The features were grouped into nine categories: question formats, feedback, programmability, grading, question bank, page display capabilities, platform, data analysis, and security. The results of the study examine the relative importance of the categories as well as the detail items within each category.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00334.x" xmlns="http://purl.org/rss/1.0/"><title>Strategic Alliance Poker: Demonstrating the Importance of Complementary Resources and Trust in Strategic Alliance Management</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00334.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Strategic Alliance Poker: Demonstrating the Importance of Complementary Resources and Trust in Strategic Alliance Management</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Christopher R. Reutzel</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">William J. Worthington and Jamie D. Collins</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00334.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00334.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00334.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">TEACHING BRIEF</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">109</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">115</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>Strategic Alliance Poker (SAP) provides instructors with an opportunity to integrate the resource based view with their discussion of strategic alliances in undergraduate Strategic Management courses. Specifically, SAP provides Strategic Management instructors with an experiential exercise that can be used to illustrate the value creation potential of complementary resources and the role of trust in fostering resource sharing in strategic alliances. A discussion of the theoretical background, implementation, implications, and results of SAP is provided in this paper.</p></div>]]></content:encoded><description>Strategic Alliance Poker (SAP) provides instructors with an opportunity to integrate the resource based view with their discussion of strategic alliances in undergraduate Strategic Management courses. Specifically, SAP provides Strategic Management instructors with an experiential exercise that can be used to illustrate the value creation potential of complementary resources and the role of trust in fostering resource sharing in strategic alliances. A discussion of the theoretical background, implementation, implications, and results of SAP is provided in this paper.</description></item><item rdf:about="http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00328.x" xmlns="http://purl.org/rss/1.0/"><title>An Empirical Investigation of Student Evaluations of Instruction—The Relative Importance of Factors</title><link>http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00328.x</link><dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">An Empirical Investigation of Student Evaluations of Instruction—The Relative Importance of Factors</dc:title><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Satish Nargundkar</dc:creator><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Milind Shrikhande</dc:creator><dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">2012-01-01T00:00:00-05:00</dc:date><dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">doi:10.1111/j.1540-4609.2011.00328.x</dc:identifier><dc:rights xmlns:dc="http://purl.org/dc/elements/1.1/"/><dc:publisher xmlns:dc="http://purl.org/dc/elements/1.1/">John Wiley &amp; Sons, Inc.</dc:publisher><prism:doi xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">10.1111/j.1540-4609.2011.00328.x</prism:doi><prism:url xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">http://dx.doi.org/10.1111%2Fj.1540-4609.2011.00328.x</prism:url><prism:section xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">EMPIRICAL RESEARCH</prism:section><prism:startingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">117</prism:startingPage><prism:endingPage xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/">135</prism:endingPage><content:encoded xmlns:content="http://purl.org/rss/1.0/modules/content/"><![CDATA[<h3 xhtml="http://www.w3.org/1999/xhtml" xmlns:ol="http://www.wiley.com/namespaces/ol/xsl-lib">ABSTRACT</h3><div class="para" xmlns="http://www.w3.org/1999/xhtml"><p>We analyzed over 100,000 student evaluations of instruction over 4 years in the college of business at a major public university. We found that the original instrument that was validated about 20 years ago is still valid, with factor analysis showing that the six underlying dimensions used in the instrument remained relatively intact. Also, we found that the relative importance of those six factors in the overall assessment of instruction changed over the past two decades, reflecting changes in the expectations of the current millennial generation of students. The results were consistent across four subgroups studied—Undergraduate Core, Undergraduate Noncore, Graduate Core, and Graduate Noncore classes, with minor differences. <em>Student Motivation</em> (the instructor's ability to motivate students) and <em>grading/assignments</em> (fairness and objectivity of grading practices) have superseded <em>presentation ability</em> in relative importance as indicators of overall teaching effectiveness. Our study has implications for teachers in terms of the appropriate areas to focus on for improving their teaching practices.</p></div>]]></content:encoded><description>We analyzed over 100,000 student evaluations of instruction over 4 years in the college of business at a major public university. We found that the original instrument that was validated about 20 years ago is still valid, with factor analysis showing that the six underlying dimensions used in the instrument remained relatively intact. Also, we found that the relative importance of those six factors in the overall assessment of instruction changed over the past two decades, reflecting changes in the expectations of the current millennial generation of students. The results were consistent across four subgroups studied—Undergraduate Core, Undergraduate Noncore, Graduate Core, and Graduate Noncore classes, with minor differences. Student Motivation (the instructor's ability to motivate students) and grading/assignments (fairness and objectivity of grading practices) have superseded presentation ability in relative importance as indicators of overall teaching effectiveness. Our study has implications for teachers in terms of the appropriate areas to focus on for improving their teaching practices.</description></item></rdf:RDF>
