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Academic Efficiencies:

Academic Efficiencies:

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Academic Efficiencies:

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  1. Academic Efficiencies: Using MERLOT to Engage Faculty in the Discussion Phil Moss, Oklahoma State Regents for Higher Education Richard Boyd, Rogers State University Kurt Cogswell, South Dakota State University Amy Smith, Northeastern State University

  2. System Funding and FTE Enrollment History and Projections 145,000 $857.0 140,250 est. 140,000 $847.0 134,874 135,000 $837.0 128,530 $829.1 $827.0 130,000 $816.2 $817.0 125,000 121,111 119,115 $807.0 120,000 $797.0 $791.5 115,000 $787.0 110,000 $777.0 $767.8 $772.2 105,000 $767.0 FY00 FY01 FY02 FY03 FY04 FTE Enrollment Appropriations The “Double Whammy”

  3. INSTRUCTIONAL SPENDING PER FTE, BY STATE Percent Change and Current Position Relative to U.S. Average 50% low and MD high and increasing increasing 40% KY IL NJ DE 30% TX NY (66%) WV GA RI, MA KS MO 20% NH MI AL SD MN TN CO PA 10% FL ME U.S. NE OH VA MT NM ID WI VT NC Percent Change, FY91 - FY02 0% IA AZ NV IN MS LA CA OR UT AR WY -10% ND OK AK -20% SC WA -30% HI -40% low and high and decreasing decreasing -50% -50% -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% Percent Over/Under the U.S. Average, FY02

  4. Institutional Responses

  5. Oklahoma State Regents for Higher Education

  6. Email from the New Chancellor “The premise is that by working together, faculty in specific topical areas can provide higher-quality learning experiences in more cost-effective ways…The product would be a toolkit of teaching processes/ materials that can be used by faculty across Oklahoma colleges and universities.”

  7. “The intention of the project to achieve uniformly high-quality teaching at all of our colleges & universities. With time and resources saved by pooling ideas and approaches, faculty would free up time for other uses, such as spending more time with students, developing new teaching material, conducting research or providing public service.” Concluding Observation

  8. Some Initial Reactions • Don’t call it efficiency! • Do we have to? • Not if it takes $ away from us! • Go beyond course materials to courses/programs • Don’t call it efficiency!

  9. Academic Efficiencies - Leadership • Council on Instruction (COI) • Represents all Public Higher Education • Community Colleges • Regional Universities • Comprehensive Universities • Members are Chief Academic Officers • Advisory to the Chancellor, State Regents • Meets Monthly (September – June) • Committees Report to the Council

  10. Academic Efficiencies - Planning • COI Time-Lines • Discussion at COI through September • Academic Efficiency Committee formed October 2003, 1st meeting - November • December/January—Workshop Planning • February—Two-day Workshop • April—One day Follow-up • September—Action Plans Developed

  11. The 2-by-2-Pronged Plan • Disciplines • A specialized, low-enrollment discipline not currently identified as a MERLOT community • Ecology • A general, high-enrollment discipline established as a MERLOT community • Mathematics • Granularity • Big (Course Level) • Small (Learning Objects)

  12. Goals for Initial Workshop • Ecology and Math (General Education) • Two Faculty from each campus • Nominated by Chief Academic Officer • Funding Assistance from Chancellor’s Office • Keynote Speakers—Set Tone for Project • Faculty Facilitators from Out-Of-State • Build Cooperation/Collaboration

  13. Academic Efficiencies Workshop Agenda • Welcome by Chancellor, Chairs of President’s Council and COI • Center for Academic Transformation • Carolyn Jarmon, Associate Director • Course Redesign in Action—Campus Perspective (Univ. of Idaho, Fairfield Univ.) • MERLOT • Gerry Hanley, Executive Director • Collaboration-Sharing Resources (SDSU, Thomas Nelson Community College)

  14. Academic Efficiencies Workshop Goals • Understand the Concepts of Efficiencies • Textbook Selection • Internet Materials • Classroom/laboratory equipment/facilities • Field trips and Projects • Placement and testing tools • Consulting and Research • Sharing, Creating Learning Community • Maintaining Academic Quality and Rigor

  15. Academic Efficiencies Follow-Up Meeting Working Sessions • Identify Faculty Facilitators • Explore Project Ideas • Discuss Outcomes • Discuss Strategies • Identify MERLOT Resources • Discuss Implementation/Evaluation

  16. MERLOT Mathematics at theOklahoma Academic Efficiencies Conference

  17. Oklahoma Academic Efficiencies ConferenceDay One: Large Scale Course Redesign • Dr. Carolyn Jarmon -- large scale course redesign • Good results backed up by hard data • Student performance does not decrease, often increases • Yearly course operational costs drop • Why not do this for every course? • Redesign requires large initial resource commitment • Need large enrollment and/or multi-section classes to achieve goal of a net cost reduction over time • Small fraction ( ~1% ) of classes qualify • What about all the other classes?

  18. Oklahoma Academic Efficiencies ConferenceDay Two: MERLOT and Efficiency • Restructuringsmall fraction of courses (~1%) • Good efficiency increase is possible in a few courses. • MERLOTall courses • Typically, smaller increases in efficiency possible per course, but in a much larger number of courses. • Why is MERLOT appropriate for all courses? • Much less resource intensive than redesign • Much more flexible than redesign • RestructuringShock and Awe • MERLOTGuerrilla warfare

  19. Structure of MERLOT Mathematics • Objects and the Category Scheme • Reviews • A Comparison of Numerical Integration Applets • Numerical Integration Applet. • Assignments • Normal Probability Tool • Personal Collections • Jim Rutledge Personal Collections

  20. Using the Structure to Enhance Efficiency • Target a course for MERLOT-based efficiency enhancement • Create a MERLOT identity for the course • Distribute login info to participating faculty • Create Personal Collections to hold categories of objects • What Categories? • Resources • Demonstration Tools • Exploration Tools • Other (topic specific, etc.) • These Personal Collections facilitate continuous course improvement and clearly produce other efficiency gains. • This would be of particular value to adjuncts and new faculty

  21. More on Resources • Examples • Matrix Facts • Fractal Geometry • Efficiency? Why reinvent the wheel?

  22. More on Demonstration Tools • Use frequently (almost daily) • Graphical/Visual component very effective • Assessment? Student Evaluations • Efficiency? Better teachingimproved “product”, reduced failure rate, reduced remediation, increased student retention • Examples • Fractal Dimension Demo Tools

  23. More on Exploration Tools • Used very selectively. • Focus on major ideas that are known to be ineffectively taught using traditional means, and/or ideas that will be used extensively later in the curriculum. • Find MERLOT object suitable for guided exploration • In a computer lab, student groups discover ideas on their own. Instructor circulates to guide the process. • Assessment? Occurs as instructor circulates. • Efficiency? Improved teaching of key concepts improves teaching effectiveness and efficiency throughout the curriculum. • Example: • Numerical Integration Applet

  24. MERLOT-Based Efficiency Gains • Efficiency measured by Production/Cost • Two ways to increase efficiency: • Increase production • MERLOT functions to increase both quality and quantity of “product”, graduates. • How to quantify??? Where’s the research??? • Decrease cost • MERLOT decreases failure/repetition rate. • MERLOT decreases faculty time per course. • How to quantify??? Where’s the research??? • Challenge for MERLOT: produce hard data that demonstrates MERLOT’s positive impact on academic efficiency.

  25. Follow-Up Faculty Workshop • Desired outcome • Develop draft plans to implement an efficiency project within ecology including • Program development • Incorporation • Methods for evaluation

  26. The process • Facilitated meeting format • Address challenge/issue • Determine faculty’s objective and outcomes • Develop list of potential solutions • Identify strategies to address each category to pursue • Identify next steps to incorporate strategies

  27. Development – desired outcomes • Collaborate! • Develop a OK web resource • Identify locations for field trips • Develop and share activities

  28. Development – strategies • Collaborate! • Develop a web page • Designed as project in web page development course • Regional web pages linked

  29. Development – strategies • Identify locations for field trips • Site information • Local experts • Data bases • Activities

  30. Development – strategies • Develop and share activities • Activities by faculty • Links to web-published resources • Specific methods and instrumentation identified • Student directed activities identified

  31. Product – main page Map courtesy of The Nature Conservancy

  32. Product – example field site

  33. Product – activities and data sets • Activity – Deer census by Dr. Erik Terdal Background A basic parameter of population biology is the density of a population: how many individuals of a species are there per unit area. Population ecologists have long been interested in how the environment affects density and how the density of one population affects populations of other species (competitors, predators, etc.). Wildlife managers use population ecology theory to manage populations of wild animals for the benefit of humans. Locally, white-tailed deer (Odocoileus virginanus) are of interest as game animals, potential crop pests, and as a tourist attraction. The Sequoyah State Park (SSP) near Hulbert on Lake Ft. Gibson has a large population of white-tailed deer. These deer are an important reason why visitors come to the park. As they have not been hunted in many years they are somewhat habituated to humans, permitting close observation. Unfortunately, the high density of deer at SSP has impacted the vegetation of the park. It has also contributed to an abundance of ticks, which affect humans and other animals at the park. For these reasons, former SSP naturalist (and NSU alum)

  34. Product – activities and data sets • Data set – Deer census by Dr. Erik Terdal Table 1. Raw data from Spring drive censuses of white-tailed deer in Sequoyah State Park (Cherokee Co., Oklahoma, USA) conducted from 1989 to 2002. Total park area is approximately 2500 acres (~1000 ha). Year # participants Acres covered # deer counted 1989 114 616 199 1990 12 338 99 1991 37 382 60 1992 63 382 63 1993 44 382 64 1996 85 382 116 1999 108 382 129 2000 (Feb.) 67 274 24 2000 (Dec.) 38 150 23 2001 (Feb.) 33 150 32 2001 (Nov.) 51 150 53 2002 (Feb.) 50 150 51

  35. Advantages • Faculty driven • More buy-in • More motivation • Assesses faculty needs • Networking

  36. Academic Efficiencies Questions?