Postgraduate Certificate in Digital Tech Assessment Strategies
-- viewing nowDigital Tech Assessment Strategies is a Postgraduate Certificate program designed for educators and professionals seeking to enhance their skills in creating effective digital assessments. Developed for those in the education sector, this program focuses on digital assessment methods, tools, and best practices to measure student learning in a technology-rich environment.
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About this course
Through a combination of online courses and workshops, learners will gain expertise in designing, implementing, and evaluating digital assessments, including online exams and quizzes.
By the end of the program, learners will be equipped to create engaging, valid, and reliable digital assessments that promote student learning and achievement.
Are you ready to take your teaching skills to the next level? Explore the Postgraduate Certificate in Digital Tech Assessment Strategies today and discover how to harness the power of technology to enhance student learning.
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Course details
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Assessment Design and Development: This unit focuses on the principles and practices of designing and developing assessment strategies that align with learning outcomes and assessment criteria, using a range of assessment methods such as quizzes, exams, and projects. •
Technology Enhanced Assessment Strategies: This unit explores the use of digital technologies to support assessment, including online quizzes, simulations, and multimedia presentations, and how to evaluate the effectiveness of these strategies. •
Learning Analytics and Assessment: This unit introduces the concept of learning analytics and its application in assessment, including data mining, predictive modeling, and visualizing learning data to inform assessment decisions. •
Assessment for Feedback and Learning: This unit examines the role of assessment in providing feedback and promoting learning, including the use of formative and summative assessments, and strategies for giving constructive feedback. •
Accessibility and Inclusive Assessment Strategies: This unit discusses the importance of accessibility and inclusivity in assessment, including the use of assistive technologies, universal design for learning, and strategies for supporting diverse learners. •
Assessment in Online and Blended Learning Environments: This unit explores the challenges and opportunities of assessment in online and blended learning environments, including the use of digital tools and platforms to support assessment. •
Assessment and Feedback in Higher Education: This unit examines the role of assessment and feedback in higher education, including the use of assessment criteria, rubrics, and peer review, and strategies for promoting student learning and achievement. •
Technology-Enhanced Feedback and Assessment: This unit introduces the use of digital technologies to support feedback and assessment, including the use of video, audio, and multimedia feedback tools, and strategies for evaluating their effectiveness. •
Assessment and Learning Analytics in Higher Education: This unit explores the use of learning analytics to inform assessment decisions, including data mining, predictive modeling, and visualizing learning data to support teaching and learning. •
Designing and Implementing Assessment Systems: This unit focuses on the design and implementation of assessment systems, including the use of digital tools and platforms, and strategies for evaluating the effectiveness of these systems.
Assessment Design and Development: This unit focuses on the principles and practices of designing and developing assessment strategies that align with learning outcomes and assessment criteria, using a range of assessment methods such as quizzes, exams, and projects. •
Technology Enhanced Assessment Strategies: This unit explores the use of digital technologies to support assessment, including online quizzes, simulations, and multimedia presentations, and how to evaluate the effectiveness of these strategies. •
Learning Analytics and Assessment: This unit introduces the concept of learning analytics and its application in assessment, including data mining, predictive modeling, and visualizing learning data to inform assessment decisions. •
Assessment for Feedback and Learning: This unit examines the role of assessment in providing feedback and promoting learning, including the use of formative and summative assessments, and strategies for giving constructive feedback. •
Accessibility and Inclusive Assessment Strategies: This unit discusses the importance of accessibility and inclusivity in assessment, including the use of assistive technologies, universal design for learning, and strategies for supporting diverse learners. •
Assessment in Online and Blended Learning Environments: This unit explores the challenges and opportunities of assessment in online and blended learning environments, including the use of digital tools and platforms to support assessment. •
Assessment and Feedback in Higher Education: This unit examines the role of assessment and feedback in higher education, including the use of assessment criteria, rubrics, and peer review, and strategies for promoting student learning and achievement. •
Technology-Enhanced Feedback and Assessment: This unit introduces the use of digital technologies to support feedback and assessment, including the use of video, audio, and multimedia feedback tools, and strategies for evaluating their effectiveness. •
Assessment and Learning Analytics in Higher Education: This unit explores the use of learning analytics to inform assessment decisions, including data mining, predictive modeling, and visualizing learning data to support teaching and learning. •
Designing and Implementing Assessment Systems: This unit focuses on the design and implementation of assessment systems, including the use of digital tools and platforms, and strategies for evaluating the effectiveness of these systems.
Career path
| **Career Role** | **Job Market Trend** | **Salary Range (£)** |
|---|---|---|
| **Data Scientist** | Increasing demand for data-driven decision making | 12000 - 15000 |
| **Artificial Intelligence/Machine Learning Engineer** | Growing demand for AI and ML applications | 9000 - 12000 |
| **Full Stack Developer** | High demand for web development skills | 7000 - 10000 |
| **Cyber Security Specialist** | Increasing need for cyber security measures | 6000 - 9000 |
| **Data Analyst** | Growing demand for data analysis skills | 5000 - 8000 |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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POSTGRADUATE CERTIFICATE IN DIGITAL TECH ASSESSMENT STRATEGIES
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Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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