Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Assessment mode
Assignments or Quiz
Tutor support available
International Students can apply
Students from over 90 countries
Flexible study
Study anytime, from anywhere
Overview
Certified Specialist Programme in Formative Assessment for Computer Science
Designed for computer science educators, this program focuses on formative assessment techniques tailored to the specific needs of the computer science curriculum. Participants will enhance their assessment skills, learn to measure student progress effectively, and provide constructive feedback to promote learning outcomes. Gain practical strategies for evaluating programming assignments and project-based learning. Elevate your teaching with this specialized certification. Start your learning journey today!
Certified Specialist Programme in Formative Assessment for Computer Science is a comprehensive course designed to enhance your data science skills through hands-on projects and practical training. This unique programme offers self-paced learning with a focus on machine learning training and data analysis skills. Learn from real-world examples and industry experts to master the art of formative assessment in computer science. Whether you are a beginner or an experienced professional looking to upskill, this course will provide you with the knowledge and expertise needed to excel in the field. Enroll now and take your career to new heights!Get free information
Course structure
• Introduction to Formative Assessment in Computer Science • Principles of Effective Formative Assessment Strategies • Integrating Technology Tools for Formative Assessment • Data-Driven Decision Making in Formative Assessment • Best Practices for Providing Feedback in Computer Science • Formative Assessment in Coding and Programming • Assessing Computational Thinking Skills • Rubric Design for Formative Assessment in Computer Science • Peer Assessment Techniques in Technology-Driven ClassroomsThe Certified Specialist Programme in Formative Assessment for Computer Science is designed to help participants enhance their formative assessment skills specifically tailored for the field of Computer Science. Through this program, participants will master various assessment strategies and techniques to effectively evaluate student learning in computer science courses.
The learning outcomes of this programme include the ability to develop and implement formative assessment tools for computer science education, analyze student performance data to inform instructional decisions, and provide constructive feedback to students to support their learning and growth in the subject.
This programme is self-paced and can typically be completed within 8 weeks. Participants will have access to online resources, video lectures, and interactive assignments to deepen their understanding of formative assessment practices in computer science education.
Given the increasing emphasis on data-driven decision-making in education, this programme is highly relevant to current trends in the field of Computer Science education. It is aligned with modern tech practices and equips participants with the necessary skills to assess student learning effectively in a digital learning environment.
Certified Specialist Programme in Formative Assessment for Computer Science
The Certified Specialist Programme in Formative Assessment for Computer Science plays a crucial role in today's market, especially with the increasing demand for skilled professionals in the field. According to recent statistics, 82% of UK businesses believe that there is a shortage of individuals with adequate cyber defense skills. This underscores the importance of specialized training programs like the Certified Specialist Programme to bridge this gap.
Statistics on Cyber Defense Skills Shortage in the UK
| Year | Percentage of Businesses |
| 2018 | 65% |
| 2019 | 76% |
| 2020 | 82% |