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Activity 1: Rethinking a Level Group activity: (10 minutes) Name of programme: Business Computing Programme level: Level 1  Single Overall Chunky Learning Outcome for the Level Student will be able to source able to source, sift, digest, appraise, analyse, appropriate and realistic data and communicate the results  to the expert and non-expert.
Activity 1: Rethinking a Level Combined Group Activity: (10 minutes) Subgroup 1 activity: (25 minutes) Compare and critique the Learning Outcomes from your two subgroups -  Range and types of activities, resources, support, formative assessments Lectures, seminars, labs, u-Link formative assessment for programming (peer led + mode rated). Media, online (e-resources), library resources. Number of less-chunky Learning Outcomes Students can implement elementary computational tasks in a procedural prog. Language or Excel? Basic data analysis & mathematical techniques to applied to business models. Partitioning for the study blocks Algorithm & procedural programming (20 credits) Study Skills (10 credits) Maths & Stats up to A-Level (30 credits) Computational modelling using Excel / SPSS (20 credits) Business / Management (40 credits)  Operational research, probability,  risk, random scenario generation.
Activity 1: Rethinking a Level Subgroup 2 activity – completely independently of Subgroup 1: (25 minutes) Range and types of Assessments that would be able to test the Chunky Learning Outcome Formative – Library & Web data Acquisition Report & Presentation writing / giving,  team working – delegation of duties & responsibilities Summative – Answer key quantitative questions, precise relative to specifics  Number of less-chunky Learning Outcomes Perform a “what if” study, write an executive summary, technical report , create & give a presentation, team working, correct statistical analysis, determination of optimal points, computation of scenarios, modelling of data, simulation. Partitioning of the Level into assessment blocks  Quantitative Theory , Calculations, interpretive (60 credits)  Qualitative / Practical  - Presentation & Precise.  (40 credits) Soft & transferable skills – Writing, presenting, team working (20 credits)

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Activity 1 Blended Learning Design Workshop -

  • 1. Activity 1: Rethinking a Level Group activity: (10 minutes) Name of programme: Business Computing Programme level: Level 1 Single Overall Chunky Learning Outcome for the Level Student will be able to source able to source, sift, digest, appraise, analyse, appropriate and realistic data and communicate the results to the expert and non-expert.
  • 2. Activity 1: Rethinking a Level Combined Group Activity: (10 minutes) Subgroup 1 activity: (25 minutes) Compare and critique the Learning Outcomes from your two subgroups - Range and types of activities, resources, support, formative assessments Lectures, seminars, labs, u-Link formative assessment for programming (peer led + mode rated). Media, online (e-resources), library resources. Number of less-chunky Learning Outcomes Students can implement elementary computational tasks in a procedural prog. Language or Excel? Basic data analysis & mathematical techniques to applied to business models. Partitioning for the study blocks Algorithm & procedural programming (20 credits) Study Skills (10 credits) Maths & Stats up to A-Level (30 credits) Computational modelling using Excel / SPSS (20 credits) Business / Management (40 credits) Operational research, probability, risk, random scenario generation.
  • 3. Activity 1: Rethinking a Level Subgroup 2 activity – completely independently of Subgroup 1: (25 minutes) Range and types of Assessments that would be able to test the Chunky Learning Outcome Formative – Library & Web data Acquisition Report & Presentation writing / giving, team working – delegation of duties & responsibilities Summative – Answer key quantitative questions, precise relative to specifics Number of less-chunky Learning Outcomes Perform a “what if” study, write an executive summary, technical report , create & give a presentation, team working, correct statistical analysis, determination of optimal points, computation of scenarios, modelling of data, simulation. Partitioning of the Level into assessment blocks Quantitative Theory , Calculations, interpretive (60 credits) Qualitative / Practical - Presentation & Precise. (40 credits) Soft & transferable skills – Writing, presenting, team working (20 credits)