KeywordsOnline Learning; Distance Education
Faculty Readiness, Online Teaching, Faculty Attitude, Faculty Ability, Faculty Perception
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AbstractFaculty readiness to teach online is a state of faculty preparedness for online teaching. In this study, it is measured by faculty attitudes on the importance of online teaching competencies and their ability towards online teaching. Validity and reliability of faculty responses to an online instrument and factors related to faculty perception are examined. Descriptive statistics and item level means for the competencies are provided. For course design, course communication and technical, the faculty rated the perception of importance higher than their ability whereas for time management their perception of ability was rated higher than their attitude on importance. MANOVA showed significant differences in gender, years of teaching online, and delivery method for faculty perceptions of importance of online teaching competencies. Significant differences were also noted in years of teaching online and delivery method with respect to ability to teach online.
Copyright/LicenseCopyright (c) 2019 Florence Martin, Kiran Budhrani, Chuang Wang
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Student Leadership Conference Report 2010Santiago, Joseph A; Edmonds, Maxwell; Knoll, Christina (DigitalCommons@URI, 2010-02-17)This is the Student Leadership Conference Attendees Report from the retreat. This is the start of the I AM U-URI Unity in Difference group on campus.
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Oral History Interview with Roberto Mariano: Conceptualising SMUMARIANO, Roberto S. (Institutional Knowledge at Singapore Management University, 2010-06-23)The interview covered: first involvement with SMU, founding dean for School of Economics, vision, curriculum, faculty development, faculty recruitment, research, pioneer students, postgraduate programmes, challenges. Biography: Dean, SMU School of Economics, 2007–2010Founding Dean, School of Economics and Social Science, SMU, 2002–2007 Professor Roberto S Mariano was appointed as dean of the new School of Economics and Social Sciences in 2002. He oversaw the intake of the inaugural classes of the economics and social science bachelors programmes in 2002 and 2004 respectively, and also served as the vice provost of research and deputy director of the Wharton-SMU Research Centre. His research interests include statistical tests for multiple forecast comparison, predictive models of economic/financial crises, dynamic factor modelling and filtering techniques in forecasting, real estate bubbles, and asset securitisation in Asia. Modelled after some of the best US undergraduate programmes, SMU’s new economics and social sciences programmes focused on business and economic applications in Asia. The Sim Kee Boon Institute for Financial Economics was established in July 2008; it focuses on financial economics and financial econometrics of Singapore's economy and economies in the region. During Professor Mariano’s tenure three graduate programmes were also added: the master of science in applied economics, master of science in economics, and the PhD in economics. Prior to joining SMU, Professor Mariano was a member of the economics faculty of the University of Pennsylvania for thirty-two years. He has held visiting positions in various academic institutions in the United States, Europe and Asia. He is currently professor emeritus of economics at Singapore Management University and at the University of Pennsylvania. He is also a senior research fellow at the Sim Kee Boon Institute of Financial Economics, a fellow of the Econometric Society, and a fellow of the Wharton Financial Institutions Centre. Professor Mariano has been a consultant on econometric modelling for forecasting and policy analysis for various central banks, government ministries, stock exchanges, and private companies in Asia and the United States. He has authored numerous research papers and books on econometric methodology and applications. He received his master’s degree in statistics from the University of the Philippines, his master’s degree in mathematics from the University of Illinois (USA) and his PhD in statistics from Stanford University (USA).