T Level Digital Data Analytics: Employer Set Project Pre-Release Study Guide

Administrative Information and Assessment Metadata - Qualification Profile: T Level Technical Qualification in Digital Data Analytics (Level 3) Core. - Project Type: Employer Set Project (ESP) PRE-RELEASE. - Focus Area: Familiarisation with the industry context. - Document Reference: The paper reference designated for this series is 1960819608. - Assessment Window: The timetabled period is Monday 11 May 202611\ \text{May}\ 2026 to Tuesday 12 May 202612\ \text{May}\ 2026. - Document Serial Number: W88878AW88878A \u00a9 20262026 Pearson Education Ltd. - Distribution and Security: This booklet is specific to its series and is for students entered for that specific series. It must be kept securely until the assessment begins. - Legal Status: \u2018T-LEVELS\u2019 and \u2018T Level\u2019 are registered trademarks of the Department for Education. Pearson develops and delivers this qualification under the authority of the Department for Education. # Instructions and Regulations for Students - Task Mandatory Completion: Candidates must complete ALL tasks within the overall assessment. - Pre-release Timeline: The Pre-release Brief is issued prior to the start of Task 11 to allow for industry context familiarisation. - Research Time Recommendation: It is recommended that students spend no more than a total of 4 hours4\ \text{hours} on research. - Planning: Students are encouraged to use a wide range of sources and plan their time carefully. - Permitted Research Activities: - Accessing the internet for investigative purposes. - Working collaboratively with others. - Sharing and receiving findings from the investigation. - Conducting the investigation both during and outside of supervised sessions. - Making written notes about research findings. - Note Restriction: Notes generated during this pre-release phase are for research assistance only. They are NOT permitted to be taken into any supervised assessment sessions of subsequent tasks. # Industry Context: GreenLeaf Community Gardens - Primary Objective: The purpose of the activity is to become familiar with the digital tools and technologies used specifically within GreenLeaf Community Gardens. - Data Solution Exploration Areas: Students must research how data solutions are implemented to handle the following operational needs: - Volunteer Management: This includes the management of volunteer schedules, individual contact details, and professional training records. - Garden Operations: This involves tracking garden plot assignments, specific maintenance schedules, and the yield of harvests. - External Communication: Improvements to the methods used to communicate with community members and financial donors. - Social Media Analysis: The analysis of public engagement through the application of social media analytics. # Activity Methodology and Group Dynamics - Group Size and Composition: Activities should be conducted in groups of up to 66 students. - Alternative Arrangements: In cases where providers have insufficient numbers to form groups, students are permitted to work with a member of staff. - Engagement Requirements: To build understanding, students are expected to: - Carry out independent investigations into the industry sector. - Actively take part in and lead discussions. - Share findings with peers and receive feedback. # Outcomes and Submission Protocols - Assessment Status: The pre-release activity itself is not directly assessed. - Submission of Evidence: There is no requirement to submit evidence for this pre-release phase. - Marking: Notes created by students in this phase do not form part of the submitted project and will not be marked.