<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE trials [
<!ELEMENT trials (trial+)>

<!ELEMENT trial (main,contacts,countries,criteria,health_condition_code,health_condition_keyword,intervention_code,
          intervention_keyword,primary_outcome,secondary_outcome,secondary_sponsor,secondary_ids,source_support,ethics_reviews)>

<!ELEMENT main (trial_id,utrn?,reg_name,date_registration,primary_sponsor,public_title,acronym?,scientific_title,scientific_acronym?,
          date_enrolment,type_enrolment,target_size,recruitment_status,url?,study_type,study_design,phase,hc_freetext?,i_freetext?,results_actual_enrolment,results_date_completed,results_url_link,results_summary,           results_date_posted,results_date_first_publication,results_baseline_char,results_participant_flow,results_adverse_events,results_outcome_measures,results_url_protocol,results_IPD_plan, results_IPD_description)>
<!ELEMENT trial_id (#PCDATA)>
<!ELEMENT utrn (#PCDATA)>
<!ELEMENT reg_name (#PCDATA)>
<!ELEMENT date_registration (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT primary_sponsor (#PCDATA)>
<!ELEMENT public_title (#PCDATA)>
<!ELEMENT acronym (#PCDATA)>
<!ELEMENT scientific_title (#PCDATA)>
<!ELEMENT scientific_acronym (#PCDATA)>
<!ELEMENT date_enrolment (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT type_enrolment (#PCDATA)>
<!ELEMENT target_size (#PCDATA)>
<!ELEMENT recruitment_status (#PCDATA)><!-- Pending,Recruiting,Suspended,Complete,Other -->
<!ELEMENT url (#PCDATA)>
<!ELEMENT study_type (#PCDATA)><!-- interventional,observational -->
<!ELEMENT study_design (#PCDATA)>
<!ELEMENT phase (#PCDATA)>
<!ELEMENT hc_freetext (#PCDATA)>
<!ELEMENT i_freetext (#PCDATA)>
<!ELEMENT results_actual_enrolment (#PCDATA)>
<!ELEMENT results_date_completed (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_url_link (#PCDATA)>
<!ELEMENT results_summary (#PCDATA)>
<!ELEMENT results_date_posted (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_date_first_publication (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_baseline_char (#PCDATA)>
<!ELEMENT results_participant_flow (#PCDATA)>
<!ELEMENT results_adverse_events (#PCDATA)>
<!ELEMENT results_outcome_measures (#PCDATA)>
<!ELEMENT results_url_protocol (#PCDATA)>
<!ELEMENT results_IPD_plan (#PCDATA)>
<!ELEMENT results_IPD_description (#PCDATA)>


<!ELEMENT contacts (contact+)>
<!ELEMENT contact (type,firstname,middlename,lastname,address,city,country1,zip,telephone,email,affiliation)>
<!ELEMENT type (#PCDATA)><!-- Public,Scientific -->
<!ELEMENT firstname (#PCDATA)>
<!ELEMENT middlename (#PCDATA)>
<!ELEMENT lastname (#PCDATA)>
<!ELEMENT address (#PCDATA)>
<!ELEMENT city (#PCDATA)>
<!ELEMENT country1 (#PCDATA)>
<!ELEMENT zip (#PCDATA)>
<!ELEMENT telephone (#PCDATA)>
<!ELEMENT email (#PCDATA)>
<!ELEMENT affiliation (#PCDATA)>

<!ELEMENT countries (country2+)>
<!ELEMENT country2 (#PCDATA)>

<!ELEMENT criteria (inclusion_criteria,agemin,agemax,gender,exclusion_criteria)>
<!ELEMENT inclusion_criteria (#PCDATA)>
<!ELEMENT agemin (#PCDATA)>
<!ELEMENT agemax (#PCDATA)>
<!ELEMENT gender (#PCDATA)>
<!ELEMENT exclusion_criteria (#PCDATA)>

<!ELEMENT health_condition_code (hc_code+)>
<!ELEMENT hc_code (#PCDATA)>

<!ELEMENT health_condition_keyword (hc_keyword+)>
<!ELEMENT hc_keyword (#PCDATA)>

<!ELEMENT intervention_code (i_code+)>
<!ELEMENT i_code (#PCDATA)>

<!ELEMENT intervention_keyword (i_keyword+)>
<!ELEMENT i_keyword (#PCDATA)>

<!ELEMENT primary_outcome (prim_outcome+)>
<!ELEMENT prim_outcome (#PCDATA)>

<!ELEMENT secondary_outcome (sec_outcome+)>
<!ELEMENT sec_outcome (#PCDATA)>

<!ELEMENT secondary_sponsor (sponsor_name+)>
<!ELEMENT sponsor_name (#PCDATA)>

<!ELEMENT secondary_ids (secondary_id+)>
<!ELEMENT secondary_id (sec_id,issuing_authority)>
<!ELEMENT sec_id (#PCDATA)>
<!ELEMENT issuing_authority (#PCDATA)>

<!ELEMENT source_support (source_name+)>
<!ELEMENT source_name (#PCDATA)>

<!ELEMENT ethics_reviews (ethics_review+)>
<!ELEMENT ethics_review (status,approval_date,contact_name,contact_address,contact_phone,contact_email)>
<!ELEMENT status (#PCDATA)><!-- Not approved,Approved,NA -->
<!ELEMENT approval_date (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT contact_name (#PCDATA)>
<!ELEMENT contact_address (#PCDATA)>
<!ELEMENT contact_phone (#PCDATA)>
<!ELEMENT contact_email (#PCDATA)>
]>
<trials>
  <trial>
    <main>
      <trial_id>IRCT20260906070947N1</trial_id>
      <utrn></utrn>
      <reg_name>IRCT</reg_name>
      <date_registration>2026-09-20</date_registration>
      <primary_sponsor>Islamic Azad University</primary_sponsor>
      <public_title>Exploring the effects of artificial intelligence</public_title>
      <acronym></acronym>
      <scientific_title>Examining the effects of artificial intelligence on students' learning skills</scientific_title>
      <scientific_acronym></scientific_acronym>
      <date_enrolment>2026-10-06</date_enrolment>
      <type_enrolment>anticipated</type_enrolment>
      <target_size>30</target_size>
      <recruitment_status>Complete</recruitment_status>
      <url>https://irct.ir/trial/93136</url>
      <study_type>interventional</study_type>
      <study_design>Randomization: Randomized, Blinding: Double blinded, Placebo: Not used, Assignment: Parallel, Purpose: Education/Guidance, Randomization description: In this study, a simple randomization method is used to assign participants to two experimental and control groups. The randomization unit in this study is female sixth grade elementary school students in Izeh city who are eligible to enter the study. First, a complete list of volunteers who have been selected based on the study entry criteria is prepared. Then, each participant is assigned a unique numerical identification code. These codes are entered into the Random Number Generator software and a random number is generated for each individual. After generating these numbers, the participants are sorted in ascending order based on the value of the random number. Then, the individuals are assigned to two groups; sequentially, the first 15 people on the list are assigned to the experimental group (recipients of artificial intelligence-based training) and the next 15 people are assigned to the control group (recipients of conventional training). With this method, the order of entry into the study and the researcher's knowledge of the participants will not play any role in determining the group. To ensure allocation concealment, the person responsible for entering data and performing the randomization process in the software will be independent of the intervention administrators and study evaluators and will not have access to information about the session implementation process or changes in the allocation of individuals. Participant identification codes will also be kept confidential and separate from their other personal information. Therefore, it will not be possible to predict the assigned group for each participant before the randomization process, Blinding description: In order to control bias and improve the internal validity of the study, this study was designed with a double-blind protocol; in this way, the sixth-grade teachers, the outcome assessor, and the data analyst will be kept unaware of the allocation of sixth-grade elementary school female students in Izeh County to the experimental and control groups. In this process, the outcome assessor will collect data at all stages of the pretest, posttest, and follow-up, without knowing the assigned group of the participants, in order to prevent bias in measuring learning skills; also, all raw data will be provided to the statistical analyst with anonymous codes (such as groups 1 and 2), and the true nature of the groups will not be revealed until the end of the data analysis process. All allocation steps will be performed by an independent person from the research team, and the decoding of the allocation codes will only be done after the final completion of the statistical analyses.</study_design>
      <phase>N/A</phase>
      <hc_freetext>Children's learning problems.</hc_freetext>
      <i_freetext>Intervention 1: Intervention group: The AI-based educational intervention sessions will be based on new learning technology frameworks and smart Persian education protocols (Kashani et al., 2014). The sessions of this intervention will be conducted in 8 90-minute sessions (one session per week) in groups for the experimental group. AI-based education is an approach that aims to improve learning skills in Persian lessons, increase academic self-regulation, and develop comprehension by tailoring the education process to individual needs. It helps sixth-grade female students in Izeh County manage their reactions to Persian learning challenges, such as weaknesses in spelling, vocabulary, and text comprehension, by replacing passive and traditional learning patterns with interactive responses and smart learning tools. This approach has main educational axes that lead to improving academic self-activity and improving performance in Persian lessons; These axes include: establishing a learning connection and explaining the learning model with artificial intelligence, teaching the difference between traditional and intelligent learning styles, familiarizing with intelligent text and word processing tools, teaching interactive artificial intelligence techniques to create an active and engaging environment, cultivating key characteristics of independent learning (self-direction, critical thinking, motivation, and focus), teaching spelling and vocabulary practice techniques with immediate feedback, identifying and moderating learning anxiety and challenges of facing digital tools, and finally consolidating and summarizing the skills learned. The main emphasis of this intervention is to reduce the drop in academic motivation when facing difficulties in Persian lessons and replacing it with conscious, interactive responses based on modern educational technologies. Intervention 2: Control group: They do not receive any intervention or treatment.</i_freetext>
      <results_actual_enrolment></results_actual_enrolment>
      <results_date_completed></results_date_completed>
      <results_url_link></results_url_link>
      <results_summary></results_summary>
      <results_date_posted></results_date_posted>
      <results_date_first_publication></results_date_first_publication>
      <results_baseline_char></results_baseline_char>
      <results_participant_flow></results_participant_flow>
      <results_adverse_events></results_adverse_events>
      <results_outcome_measures></results_outcome_measures>
      <results_url_protocol></results_url_protocol>
      <results_IPD_plan>No - There is not a plan to make this available</results_IPD_plan>
      <results_IPD_description>Justification or reason for not sharing IPD is Participant data is completely confidential and I do not intend to publish it.</results_IPD_description>
    </main>
    <contacts>
      <contact>
        <type>public</type>
        <firstname>Sahar Kiani Deh Kiani</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Daneshjo Square, Zagros Blvd.</address>
        <city>Izeh</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>6391693627</zip>
        <telephone>+98 916 820 6418</telephone>
        <email>Saharkiani582@gmail.com</email>
        <affiliation>Islamic Azad University</affiliation>
      </contact>
      <contact>
        <type>scientific</type>
        <firstname>Sahar Kiani Deh Kiani</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Daneshjo Square, Zagros Blvd.</address>
        <city>Izeh</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>6391693627</zip>
        <telephone>+98 916 820 6418</telephone>
        <email>Saharkiani582@gmail.com</email>
        <affiliation>Islamic Azad University</affiliation>
      </contact>
    </contacts>
    <countries>
      <country2>Iran (Islamic Republic of)</country2>
    </countries>
    <criteria>
      <inclusion_criteria>Be between 11 and 13 years of age
Be a sixth-grade elementary school student
Provide informed consent to participate in the research</inclusion_criteria>
      <agemin>11 years</agemin>
      <agemax>13 years</agemax>
      <gender>Female</gender>
      <exclusion_criteria>Having a physical illness that interferes with the treatment process
Use of psychiatric medication</exclusion_criteria>
    </criteria>
    <health_condition_code>
      <hc_code></hc_code>
    </health_condition_code>
    <health_condition_keyword>
      <hc_keyword></hc_keyword>
    </health_condition_keyword>
    <intervention_code>
      <i_code>Behavior</i_code>
      <i_code>N/A</i_code>
    </intervention_code>
    <intervention_keyword>
      <i_keyword>Intervention group: The AI-based educational intervention sessions will be based on new learning technology frameworks and smart Persian education protocols (Kashani et al., 2014). The sessions of this intervention will be conducted in 8 90-minute sessions (one session per week) in groups for the experimental group. AI-based education is an approach that aims to improve learning skills in Persian lessons, increase academic self-regulation, and develop comprehension by tailoring the education process to individual needs. It helps sixth-grade female students in Izeh County manage their reactions to Persian learning challenges, such as weaknesses in spelling, vocabulary, and text comprehension, by replacing passive and traditional learning patterns with interactive responses and smart learning tools. This approach has main educational axes that lead to improving academic self-activity and improving performance in Persian lessons; These axes include: establishing a learning connection and explaining the learning model with artificial intelligence, teaching the difference between traditional and intelligent learning styles, familiarizing with intelligent text and word processing tools, teaching interactive artificial intelligence techniques to create an active and engaging environment, cultivating key characteristics of independent learning (self-direction, critical thinking, motivation, and focus), teaching spelling and vocabulary practice techniques with immediate feedback, identifying and moderating learning anxiety and challenges of facing digital tools, and finally consolidating and summarizing the skills learned. The main emphasis of this intervention is to reduce the drop in academic motivation when facing difficulties in Persian lessons and replacing it with conscious, interactive responses based on modern educational technologies.</i_keyword>
      <i_keyword>Control group: They do not receive any intervention or treatment.</i_keyword>
    </intervention_keyword>
    <primary_outcome>
      <prim_outcome>Learning skills. Timepoint: Before performing the intervention and two weeks after completion of the intervention. Method of measurement: Zimmerman and Martinez-Pons Learning Skills Questionnaire (1986).</prim_outcome>
    </primary_outcome>
    <secondary_outcome>
      <sec_outcome></sec_outcome>
    </secondary_outcome>
    <secondary_sponsor>
      <sponsor_name></sponsor_name>
    </secondary_sponsor>
    <secondary_ids>
      <secondary_id>
        <sec_id></sec_id>
        <issuing_authority></issuing_authority>
      </secondary_id>
    </secondary_ids>
    <source_support>
      <source_name>Islamic Azad University</source_name>
    </source_support>
    <ethics_reviews>
      <ethics_review>
        <status>Approved</status>
        <approval_date>2026-08-24</approval_date>
        <contact_name>Behbahan Islamic Azad University Ethics Committee</contact_name>
        <contact_address>Shahid Bayani St., Amir Kabir Blvd. Behbahan Khouzestan Iran (Islamic Republic of)</contact_address>
        <contact_phone></contact_phone>
        <contact_email></contact_email>
      </ethics_review>
    </ethics_reviews>
  </trial>
</trials>
