Short-Term Consultancy - Lesson Observation Data Analyst (40 Days)

AMIDEAST/Lebanon is looking for a Lesson Observation Data Analyst work on a 40-day education-related project.

The main tasks and responsibilities for this role include:

• Review the current lesson observation tools used by counsellors
• Assess the functions of each lesson observation tool and whether they are fit-for-purpose individually or as a combination
• Design package of observation tools (creating links between existing tools or devising new one) depending on the objective of that individual observation
• Conduct all necessary familiarisation/training on the new package of tools with counselors, this should include the underlying theory, specific content and entry protocols
• Prioritize the highest quality datapoints within these observation tools
• Specify details of an online interface to enter this data into the VIMS database, striking a balance between making it ease-of-use with collection of high quality data
• Work with VIMS software developer to ensure that standard reports can be straightforwardly run and that new reports can easily be designed
• Work with VIMS software developer to design data access protocols for entry, users, super-users, administrators etc
• Provide a one-off detailed statistical analysis of lesson observations, including trends by location, socio-economic status of school or teacher profile
• Set out the most relevant reports to flow down from the lesson observation data
• Display lesson observation data in a manner that tracks trends and is easy to assess trends over time and other prominent features, working closely with the VIMS software developer
• Design of appropriate feedback loops to improve teachers’ classroom practice as a result of individual or group analysis of lesson observation data

 Required Qualifications

• Advanced university degree (minimum Masters, preferably a PhD) in education, evaluation, statistics, or other relevant field.
• Minimum of 10 years’ experience in quantitative/qualitative classroom evaluation methodologies and their analysis.
• Specific experience with extracting value from lesson observation tools.
• Demonstrates experience in supporting teachers to improve their practice based on collection of evidence and feedback models.
• Expertise in the design of suitable data collection methods, including use of technology to streamline the burden of doing so
• Experience working with technology to collect large datasets, visualize them and run appropriate reports
• Understanding of data storage principles to allows for evaluation of aggregated data from a wide variety of viewpoints
• Fluency in Arabic and English. French is advantageous.
• Organizations and individuals are invited to apply

Interested candidates should send a resume to [email protected] with the following in the subject line: “Lesson Observation Data Analyst”. The deadline to apply is Thursday, February 27, 2020.

Additional details about this vacancy will be provided at a later stage.