{"CACHEDAT":"2026-11-11 11:00:01","HOWSUBJECTMAP":{},"SLUG":"participants-M56pGAyrdO","MARKDOWN":"# Eligibility\n\nThe SciLMi BITs are designed for in-service secondary school teachers of all subjects who teach students aged 12 to 18. They deliberately bring together teachers of science and non-science subjects, as cross-subject collaboration lies at the heart of the training.\n\nApplicants\n\n* teach a school subject at secondary level,\n* teach students aged between 12 and 18,\n* have very good English language skills (CEFR B2 or above),\n* are available for full participation in all phases of the training, with provisional approval from their school leaders,\n* and have not previously taken part in a SciLMi BIT.\n\nNo prior knowledge of the SciLMi Framework is required.\n\n# Application\n\nApplications can be submitted through an online tool, e.g. LimeSurvey. The application form collects the information needed to check eligibility and to ensure a balanced group.\n\n## Applicant Information\n\n* **eligibility**\n * subject teacher at secondary level\n * age groups taught (12–15, 16–18)\n* **personal details**\n * name\n * gender\n * email\n * school name\n * school website\n * city\n * country\n * language proficiency \n * first language(s)\n * additional language(s)\n * level of English\n* **professional background**\n * subjects taught\n * years of teaching experience\n * Erasmus+ accreditation of the school\n* **prior knowledge**\n * selected meta-scientific literacies addressed in initial teacher education, continuing professional development, or self-study\n\n## Motivational Texts\n\nTwo free-text questions are the basis of the blind review. To make the answers comparable, both questions refer to the applicant's own teaching context and are limited to 150 words.\n\n\n1. *Describe a situation from your own teaching in which your students struggled to deal with information on a socio-scientific issue.*\n2. *SciLMi promotes cross-subject teaching. Outline your plans for involving colleagues from other subjects at your school after the course.*\n\nThe first question shows whether applicants recognise the challenge the training addresses in their own teaching and how much they need the training. The second question shows how they intend to transfer what they learn beyond the course. \n\n## Confirmation and Consent\n\n* **confirmations** (required) \n * eligibility\n * accuracy of information\n * provisional approval from the school leaders for full participation\n * commitment to book travel within seven days if selected\n * acknowledgement of the course provider's privacy policy\n* **consent** (voluntary)\n * publication of photos and of materials created during the course\n * sharing of contact details with other participants\n\n# Selection\n\n## Group Composition\n\nSocio-scientific issues span multiple perspectives and cannot be addressed by a single subject alone. A world facing such issues needs people who think across subject boundaries. Helping students connect learning across subjects thus becomes one of the key tasks of teachers. Supporting teachers in this task is a declared aim of SciLMi ([→ SciLMi Approach](/doc/scilmi-approach-X2ZVnAl3K7)).\n\nThe selection therefore aims at the broadest possible range of subjects, without a fixed quota for individual subject groups such as STEM.\n\nAfter the course content, participants valued the international encounter most ([→ Course Format & Delivery: From BITs to PRO](/doc/course-format-delivery-from-bits-to-pro-vcTyvPbRxd)). The group should therefore also be as diverse as possible in terms of countries and teaching experience, and balanced in terms of gender.\n\nThe minimum group size and composition are defined in the implementation criteria ([→ Validation & Implementation Criteria](/doc/validation-implementation-criteria-8SSOwd2R7F)).\n\n## Selection Procedure\n\nApplications are assessed in a structured and transparent procedure:\n\n\n1. **Verification of application details.** \\nApplication details are checked for eligibility and accuracy, including the school's Erasmus+ accreditation.\n2. **Blind review.** \\nThe members of the trainer team independently score the free-text answers without seeing the applicants' names or other personal information.\n3. **Score calculation.** \\nAn algorithm combines the review scores with contextual criteria, including country, subject, teaching experience, and gender, to ensure a balanced group. \n4. **Place offer.** Places are offered to the highest-ranked applicants. All applicants are informed of the outcome, and applicants on the waiting list may receive an offer in a second round.\n\n For each selected applicant, the team researches the best available train, bus, and flight connections at the time of notification and sets an individual maximum for travel reimbursement, which is stated in the offer. Where a train journey takes less than eight hours, rail travel is mandatory. This uses the funding as economically as possible and avoids the unequal financial burdens that flat, distance-based unit costs can create (→ D 7.3).\n5. **Acceptance by participants.**\n\n Selected applicants must actively accept their place: they confirm their participation by submitting proof of their travel booking within seven days of notification. Otherwise, the place is offered to the next applicant on the waiting list. Early booking also keeps travel costs low.\n\n### Review Rubric\n\nEach reviewer scores each free-text answer independently from 0 to 3. The scores take into account\n\n* how clearly the answer relates to the aims of the training,\n* whether the answer is specific and refers to the applicant's own students, subject, or school,\n* whether it fulfils the task set by the action verb (describe, outline),\n* and whether it appears authentic rather than generic or formulaic.\n\n**3 – Specific and clearly related to the aims of the training**\n\n* Question 1: The answer describes a concrete situation from the applicant's own teaching, including the socio-scientific issue, the information the students dealt with, and what they struggled with.\n* Question 2: The answer outlines the main steps of a concrete plan, for example which colleagues or subjects to involve, on which issue, and in which format.\n\n**2 – Relevant, with a clear link to the applicant's own context**\n\n* Question 1: The answer describes a real situation but leaves out key elements, such as the issue or what the students struggled with.\n* Question 2: The answer outlines plausible plans, but they remain general or lack concrete steps.\n\n**1 – Broadly relevant, but vague or generic**\n\n* Question 1: The answer refers to students' difficulties with information in general terms, without a concrete situation.\n* Question 2: The answer expresses willingness to collaborate with colleagues without outlining how.\n\n**0 – Off-topic, minimal, or too generic to assess**\n\n* The answer does not address the question, is too short, or consists of general statements without any reference to the applicant's own teaching.\n\n\n:::tip\n**Tip: AI-generated applications**\n\nMany free-text answers are now written with the help of AI. Reviewers should therefore check whether an answer merely restates the course description or contains individual elements, such as references to the applicant's own students, subject, school, or a concrete situation. The rubric's criteria of specificity and authenticity make this check part of the scoring, so that all reviewers apply the same standard.\n\n:::","RENDERMODE":"markdown","HTML":"

Eligibility

\n

The SciLMi BITs are designed for in-service secondary school teachers of all subjects who teach students aged 12 to 18. They deliberately bring together teachers of science and non-science subjects, as cross-subject collaboration lies at the heart of the training.

\n

Applicants

\n\n

No prior knowledge of the SciLMi Framework is required.

\n

Application

\n

Applications can be submitted through an online tool, e.g. LimeSurvey. The application form collects the information needed to check eligibility and to ensure a balanced group.

\n

Applicant Information

\n\n

Motivational Texts

\n

Two free-text questions are the basis of the blind review. To make the answers comparable, both questions refer to the applicant's own teaching context and are limited to 150 words.

\n
    \n
  1. Describe a situation from your own teaching in which your students struggled to deal with information on a socio-scientific issue.
  2. \n
  3. SciLMi promotes cross-subject teaching. Outline your plans for involving colleagues from other subjects at your school after the course.
  4. \n
\n

The first question shows whether applicants recognise the challenge the training addresses in their own teaching and how much they need the training. The second question shows how they intend to transfer what they learn beyond the course.

\n

Confirmation and Consent

\n\n

Selection

\n

Group Composition

\n

Socio-scientific issues span multiple perspectives and cannot be addressed by a single subject alone. A world facing such issues needs people who think across subject boundaries. Helping students connect learning across subjects thus becomes one of the key tasks of teachers. Supporting teachers in this task is a declared aim of SciLMi (→ SciLMi Approach).

\n

The selection therefore aims at the broadest possible range of subjects, without a fixed quota for individual subject groups such as STEM.

\n

After the course content, participants valued the international encounter most (→ Course Format & Delivery: From BITs to PRO). The group should therefore also be as diverse as possible in terms of countries and teaching experience, and balanced in terms of gender.

\n

The minimum group size and composition are defined in the implementation criteria (→ Validation & Implementation Criteria).

\n

Selection Procedure

\n

Applications are assessed in a structured and transparent procedure:

\n
    \n
  1. Verification of application details.
    Application details are checked for eligibility and accuracy, including the school's Erasmus+ accreditation.
  2. \n
  3. Blind review.
    The members of the trainer team independently score the free-text answers without seeing the applicants' names or other personal information.
  4. \n
  5. Score calculation.
    An algorithm combines the review scores with contextual criteria, including country, subject, teaching experience, and gender, to ensure a balanced group.
  6. \n
  7. Place offer. Places are offered to the highest-ranked applicants. All applicants are informed of the outcome, and applicants on the waiting list may receive an offer in a second round.
  8. \n
\n

For each selected applicant, the team researches the best available train, bus, and flight connections at the time of notification and sets an individual maximum for travel reimbursement, which is stated in the offer. Where a train journey takes less than eight hours, rail travel is mandatory. This uses the funding as economically as possible and avoids the unequal financial burdens that flat, distance-based unit costs can create (→ D 7.3).

\n
    \n
  1. Acceptance by participants.
  2. \n
\n

Selected applicants must actively accept their place: they confirm their participation by submitting proof of their travel booking within seven days of notification. Otherwise, the place is offered to the next applicant on the waiting list. Early booking also keeps travel costs low.

\n

Review Rubric

\n

Each reviewer scores each free-text answer independently from 0 to 3. The scores take into account

\n\n

3 – Specific and clearly related to the aims of the training

\n\n

2 – Relevant, with a clear link to the applicant's own context

\n\n

1 – Broadly relevant, but vague or generic

\n\n

0 – Off-topic, minimal, or too generic to assess

\n\n
\n
\n\n

Tip: AI-generated applications Many free-text answers are now written with the help of AI. Reviewers should therefore check whether an answer merely restates the course description or contains individual elements, such as references to the applicant's own students, subject, school, or a concrete situation. The rubric's criteria of specificity and authenticity make this check part of the scoring, so that all reviewers apply the same standard.

\n
\n
","UPDATEDAT":"2026-11-04T14:14:45.528Z","ID":"f66227cc-fe9e-4905-9dec-f5c610e447ba","TITLE":"Participants"}