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

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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.

 

 

منتهية الصلاحية
آخر تاريخ التحديث: 
24 فبراير, 2020
قطاع(ات) التدخل:
تنمية, التعليم
آخر مهلة للتقديم:
الخميس, 27 فبراير 2020
نوع العقد:
‫استثاري‬
مدة الوظيفة:
Salary will be determined (depends on profile and other factors)
الراتب
N/A
نطاق الراتب:
بين 1200 و 1500 (دولار أمريكي)
درجة التعليم:
ماجستير
تفاصيل درجة التعليم:
متطلبات الخبرة:
أكثر من 10 سنوات
اللغة العربية:
بطلاقة
اللغة الانكليزية:
بطلاقة
اللغة الفرنسية:
جيد
البلد/المدينة: 
  • Lebanon
  • بيروت
randomness