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FOR MORE CLASSES VISIT <br>www.vct410mart.com<br><br>VCT 410 Week 1 DQ 1<br>VCT 410 Week 1 DQ 2<br>VCT 410 Week 2 Team Assignment Cashier Training Plan at Kudler Fine Foods outline (TWO ASSIGNMENT)<br>VCT 410 Week 2 Individual Assignment Training Need<br>VCT 410 Week 2 DQ 1<br>
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VCT 410 MART Deep learning VCT 410 Entire Course (UOP) FOR MORE CLASSES VISIT www.vct410mart.com VCT 410 Week 1 DQ 1 VCT 410 Week 1 DQ 2 VCT 410 Week 2 Team Assignment Cashier Training Plan at Kudler Fine Foods outline (TWO ASSIGNMENT)
VCT 410 MART Deep learning VCT 410 Week 1 DQ 1 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Based on the Barr (2010) article, how can website ROI influence the requirements analysis for instructional websites?
VCT 410 MART Deep learning VCT 410 Week 1 DQ 2 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Based on the Keston (2010) article, how can Web 2.0 technologies and services influence the requirements analysis for instructional websites?
VCT 410 MART Deep learning VCT 410 Week 2 DQ 1 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Explain the difference between a learning goal and a performance objective.
VCT 410 MART Deep learning VCT 410 Week 2 DQ 2 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Identify lower-level and higher-level cognitive processes in the cognitive process dimension.
VCT 410 MART Deep learning VCT 410 Week 2 Individual Assignment Training Need (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Identify a training need in your organization. Write a minimum of two learning goals and three to five performance objectives for each learning goal. Your APA formatted paper should be between 600-800 words. Refer to the grading rubric in Course Materials. A sample rubric is at the end of this document.
VCT 410 MART Deep learning VCT 410 Week 2 Team Assignment Cashier Training Plan at Kudler Fine Foods outline (TWO ASSIGNMENT) (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Draft a needs assessment of what a cashier needs to know at Kudler Fine Foods. Include an analysis of the work setting. This section will be compiled with the entire plan and submitted in Week Five.
VCT 410 MART Deep learning VCT 410 Week 3 DQ 1 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Explain the difference between summative and formative assessment. Provide examples of each. .
VCT 410 MART Deep learning VCT 410 Week 3 DQ 2 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Based on the Greiner (2010) article, how will Microsoft .NET technology be used to support the learning goals assessment function(s) of instructional websites?
VCT 410 MART Deep learning VCT 410 Week 3 Individual Assignment Assessment Strategies and Performance Objectives (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Identify assessment strategies and develop a rubric to measure performance objectives for the training need identified in your organization. Your APA formatted paper should be between 600-800 words. Refer to the grading rubric in Course Materials. A sample rubric is at the end of this document.
VCT 410 MART Deep learning VCT 410 Week 3 Team Assignment Cashier Training Plan at Kudler Fine Foods (TWO ASSIGNMENT) (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Create a minimum of two learning goals and 5 to 10 performance objectives for the cashier training plan. This section will be compiled with the entire plan and submitted in Week Five. Submit a draft of your Learning Team paper including the paper requirements from last week, learning goals, and performance objectives. (Assignment specifics will be posted in the Main forum. Grading rubrics will be posted in Course Materials)
VCT 410 MART Deep learning VCT 410 Week 4 DQ 1 (UOP) FOR MORE CLASSES VISIT www.vct410mart.com Based on the Barr (2010) article, how can digital libraries contribute to the design and development of instructional websites?
VCT 410 MART Deep learning VCT 410 Week 4 DQ 2 (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Are learning styles innate or preferences? Explain.
VCT 410 MART Deep learning VCT 410 Week 4 Individual Assignment Instructional Strategies, Learning Materials, and Learning Activities (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Propose instructional strategies, learning materials, and learning activities for the training needs identified in your organization. Your APA formatted paper should be between 600-800 words. Content from previous weeks will not count towards the word count for this paper. Refer to the grading rubric in Course Materials. A sample rubric is at the end of this document.
VCT 410 MART Deep learning VCT 410 Week 4 Team Assignment Cashier Training Plan at Kudler Fine Foods (TWO ASSIGNMENT) (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Describe or design the summative and formative assessment(s) used to measure the performance objectives. Design the course outline (sequencing, for example) that would be used to deliver the training. Describe the delivery method(s).
VCT 410 MART Deep learning VCT 410 Week 5 DQ 1 (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Recommend methods to evaluate a training or educational program. Justify your recommendations.
VCT 410 MART Deep learning VCT 410 Week 5 DQ 2 (UOP)FOR MORE CLASSES VISIT www.vct410mart.com How would you recommend rubrics be used to evaluate course you’ve developed?
VCT 410 MART Deep learning VCT 410 Week 5 Team Assignment Cashier Training Plan at Kudler Fine Foods (TWO PAPERS) (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Explain how the course would be evaluated. Compile all the previous sections into one, organized document. Finalize and submit the instructional plan.(Assignment specifics will be posted in the Main forum. Grading rubrics will be posted in Course Materials)
VCT 410 MART Deep learning VCT 410 Week 5 Team Assignment Cashier Training Plan at Kudler Fine Foods (TWO PRESENTATIONS) (UOP)FOR MORE CLASSES VISIT www.vct410mart.com Submit a Microsoft® PowerPoint®presentation outlining the instructional plan that would be proposed to Kudler management. (Assignment specifics will be posted in the Main forum. Grading rubrics will be posted in Course Materials)
Thank You !! VCT 410 MART Deep learning