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Evaluating Online Learning: Issues and Strategies Mark Hawkes Dakota State University Innovations, Educating New Generations March 1, 2002
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Presentation Objective Discuss online learning evaluation approaches in graduate programs at two universities Identify criteria/indicators suitable for the evaluation of online learning environments
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Distance Learning Literature Evaluation....... No Yes (79%) (21%) Focus......... Training Education Impact on Learning....... No Yes (87%) (13%) (58%)(42%)
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Instructor Student Internet Login Interface Content Resources Assessment Communication Modes Support ServicesSystem Resources Management and Organizational Information Online Learning Architecture Institutional
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Familiar Online Learning Evaluation Targets... interface design instructional design student satisfaction technology access faculty satisfaction economic viability departmental capacity interdepartmental collaboration
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Common Dimensions of Effective Online Learning: Relevant and challenging assignments Providing adequate and timely feedback through teacher-student interaction Flexibility in teaching and learning Constructing coordinated learning environments Constructing rich environments for student to student interaction
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DSU’s Educational Technology Program Students: 36 Credit hour MS program 80% Education (K12, Technical, Higher Ed.) 20% Business/industry 90% Online; 10% On campus Female 68%; Male 32% Project-based curriculum
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DSU’s ET Environment Pervasive technological culture Consistency between program goals and the state/region-wide initiatives Campus-wide faculty support Institutional experience in Web-based instruction delivery Multi-delivery methods Client: teachers, teacher developers, instructors, trainers, technology coordinators, etc. Predominantly web-based delivery
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An Evaluation Model... Illuminative Operation of Components And Subcomponents Integrative Holistic perspective on The learning experience Course & Program Design Components Infra- structure /System Work Flow InteractionImpact ProcessProduct Observing and Detecting Focused on Performance Functional Problems Outcomes
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Infrastructure/System Input/output devices Network speed and connectivity Network design/Topology Technical support systems and maintenance
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Course and Program Design Nature of the Design Situation Based Role of State and National Standards Sequencing/Instructional Strategies Assessment Motivation: Learning vs. Performance Visualization Tools and Media User Interface Course Management
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Work Flow Use of discussion tools Software usage Message redundancy (audio, video, web pages, emails). Progression Do learners progress through their work tasks in a linear fashion? (novice-like) Nonlinear opportunistic fashion (expert- like)
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Interaction Social and instructional Must account for all of the following relationships: InstructorLearner Learners Content Learners Technology Content Technology
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Learner Instructor ContentAssessment Learning Resources (Technology) Learner Records Catalog info QueryPreferences Performance Interaction Example (Metcalf, Snitzer, Austin, 2001) Learner
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Online Course Interaction Announcements Email Discussion Board (WebBoard Conferencing) Synchronous text chat Streaming media using Real Player Desktop Video File Loading Online assessment Audio/video clips Audio-narrated PowerPoint's Room-based Video
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Impact Course performance Collaborative learning Retention/attrition (course and program) Professional relevance and utility Learner productivity
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Evaluation Attributes Multi-sourced data (students, server log files, etc) Internal and external Performance based Comparison and criterion based
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The breadth of this course was: 1234567 Not nearly enough The right amount Way too much Compared to a traditional course 1234567 A much narrower range About the same range A much wider range of of material was covered of material was covered material was covered Online: 4.61 Compared to traditional 4.65n=32
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The depth of this course was: 1234567 Not nearly enough The right amount Way too much Compared to a traditional course 1234567 Material was covered in Material was covered in Material was covered in much less depth about the same depth much more depth Online: 4.48 Compared to traditional 4.42n=32
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The extent of critical thinking required: 1234567 Not nearly enough The right amount Way too much Compared to a traditional course 1234567 Much less About the same Much more Online: 4.61 Compared to traditional 4.94n=32
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The amount of effort put into the course: 1234567 Much less About the same Much more Compared to a traditional course 1234567 Much less About the same Much more Online: 5.65 Compared to traditional: 5.26n=32
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Evaluation Processes Mostly formative Mixed data collection and analysis methods (document analysis, student artifact analysis, survey, interview, text analysis, etc.) Course and program evaluation
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Typical Problems with Online Courses Facilitating and encouraging collaboration Time management Student proficiency with course tools Ambiguous directions Timeliness of feedback
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Factors Beyond ID Control Student sophistication with technology tools System capacity Learner availability/accessibility Enthusiastic, responsive instructor Good learner support Motivated learners
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How to Design and Effective Online Course? Follow basic ID principals Build a climate of disclosure and full participation Institute informal student evaluation and check-in mechanisms Active and intensive instructor participation Build in as much interactivity as possible Create visually interesting screens/pages Ensure instructions are very clear Multi-mode interaction is critical Redundancy
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