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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>D. Saad);</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>STEM Education with Robotics Activities: A Task- Centered Teachers Professional Development Program</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Doaa Saad</string-name>
          <email>Sdoaa14@campus.technion.ac.il</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Igor Verner</string-name>
          <email>ttrigor@technion.ac.il</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Rinat B. Rosenberg-Kima</string-name>
          <email>rinatros@technion.ac.il</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>CfP: STEM Education with Robotics Activities: A Task-Centered Teachers Professional Development Program.</institution>
        </aff>
      </contrib-group>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0001</lpage>
      <abstract>
        <p>This study explores the impact of a Task-Centered Robotics Professional Development (PD) on teachers' self-efficacy, anxiety, and attitudes toward integrating robotics activities into STEM education. A 30-hour PD included direct instruction in the context of three tasks based on the Task-Centered Instructional Strategy, focusing on developing the pedagogical, technological, and content competencies needed to implement robotics activities into STEM classes. Data were collected through three questionnaires consisting of closed and open-ended questions. Sixteen Israeli Arab middle school teachers participated in a PD, utilizing LEGO Mindstorms EV3 robots' kits. Results revealed a significant increase in teachers' selfefficacy regarding robotics activities and a significant decrease in anxiety, with attitudes also improving, though not significantly. This study supports the potential of Task-Centered PD in training science teachers with no prior technological knowledge to incorporate robotics activities into their classrooms.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Robotics Activities</kwd>
        <kwd>STEM Education</kwd>
        <kwd>Professional Development 1</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Robotics allow students to see, touch, and interact with the principles they learn in class. This
hands-on experience deepens understanding and sparks curiosity and engagement, making
complex topics more accessible and enjoyable [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Integrating robotics enables teachers to
bridge theoretical and practical applications, fostering deeper conceptual understanding while
fostering 21st-century skills such as problem-solving and computational thinking [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. Despite these
benefits, many STEM teachers hesitate to integrate robotics due to perceived competency gaps and
low self-efficacy [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. This gap emphasizes the need to equip STEM teachers with the necessary
competencies to integrate robotics into their curricula effectively. This involves proficiency in the
operation of robots and a pedagogical understanding of how to incorporate them into teaching
practices.
      </p>
      <p>This study presents a Task-Centered PD</p>
      <p>
        Program to foster middle school teachers’
competencies for effective robotics integration into STEM. Grounded in the Task-Centered
Instructional Strategy [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], which combines direct instruction with real-world task progression, the
study examines how can a Task-Centered PD influence teachers’ self-efficacy and attitudes toward
integrating robotics activities into STEM education?
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Methodology</title>
      <sec id="sec-2-1">
        <title>2.1. Participants</title>
        <p>Sixteen Israeli Arab middle school teachers participated in the PD in 2021-2022 (mean age=39,
SD=6.5, teacher’s seniority=15, SD=6.5, ten females and six males). Six teach computer science and
mathematics, while ten teach science. Eleven (~69%) of the teachers had no prior experience with
robots, either as a user or a teacher. The participants signed a consent form approved by the
Institutional Ethical Committee.</p>
      </sec>
      <sec id="sec-2-2">
        <title>2.2. Materials</title>
      </sec>
      <sec id="sec-2-3">
        <title>2.2.1. LEGO Mindstorms EV3 robots’ kits</title>
        <p>
          During the program, teachers engaged in hands-on activities using LEGO Mindstorms EV3 robots,
chosen for their robustness and classroom suitability [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. The kits include sensors and a
blockbased interface that reduces syntax errors, enhancing accessibility. Their modular design allows
easy model creation for teaching key STEM concepts.
        </p>
      </sec>
      <sec id="sec-2-4">
        <title>2.2.2. STEM Education with Robotics Activities – a Task-Centered Teacher PD</title>
        <p>
          The STEM Education with Robotics Activities PD was designed to foster STEM teachers’ needed
competencies to develop and implement robotics-based STEM lessons. It follows the Task-Centered
Instructional Strategy [
          <xref ref-type="bibr" rid="ref5">5</xref>
          ], which emphasizes complex learning through direct instruction
embedded in real-world task progression. Unlike traditional instruction, which often lacks
relevance, this approach ensures meaningful experiences that build novice learners’ confidence
through cognitive-affective positive feedback loops [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]. The program included ten 3-hour sessions
(30 hours total) designed around three tasks incorporating technological, pedagogical, and scientific
knowledge [
          <xref ref-type="bibr" rid="ref8">8</xref>
          ] (see Fig. 1).
        </p>
        <p>Task 1 focused on teachers’ hands-on experience with robots in science contexts, developing
skills in building, programming, and troubleshooting educational robots, along with 21st-century
skills like collaboration, teamwork, communication, and problem-solving. During the first seven
sessions, teacher pairs built and programmed robot models and conducted physics experiments
relevant to science instruction (see Fig. 2, 3).</p>
        <p>Task 2 focused on developing a robotics-integrated STEM lesson plan, expanding teachers’
technological-pedagogical knowledge (e.g., teaching students to build robots),
technologicalscientific knowledge (e.g., solving math and science problems using robotics), and
technologicalpedagogical-scientific knowledge (e.g., enriching scientific concepts through robotics). It also
addresses 21st-century skills, including creativity, critical thinking, self-regulation, and
decisionmaking.</p>
        <p>Task 3 focused on implementing and evaluating the lesson plans. Teachers presented their plans
and robotic models, enabling peers to test them as student simulations. Feedback helped refine the
lesson plans and offered insights into classroom management. The session concluded with a group
discussion summarizing the PD.</p>
      </sec>
      <sec id="sec-2-5">
        <title>2.3. Data Analysis</title>
        <p>
          This mixed-method participatory study [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ] combined quantitative and qualitative research
methods. As the researcher developed and implemented the PD, this study aligns with
participatory research principles, addressing a practical problem (in our case, improving STEM
education through the integration of robotics) and examining teachers’ experiences within that
context [
          <xref ref-type="bibr" rid="ref10">10</xref>
          ]. Quantitative data analysis involved an initial examination of the normal distribution
of data and homogeneity assumptions alongside a Cronbach’s Alpha reliability assessment.
Quantitative data were analyzed thematically [
          <xref ref-type="bibr" rid="ref11">11</xref>
          ] by two independent researchers to identify
emergent themes.
        </p>
      </sec>
      <sec id="sec-2-6">
        <title>2.4. Research Tools</title>
        <p>We utilized three questionnaires, which included closed and open-ended questions, administered
before and at the end of the PD. The questionnaires were adapted for robotics education by refining
phrasing for STEM teachers and adding items on robotics-related competencies and attitudes.
Experts in STEM and robotics validated these modifications.</p>
      </sec>
      <sec id="sec-2-7">
        <title>2.4.1. Competencies Self-Efficacy Toward Robotics Activities Rating</title>
      </sec>
      <sec id="sec-2-8">
        <title>Questionnaire</title>
        <p>
          To assess the program’s impact on teachers’ competencies in integrating robotics activities into
STEM education, teachers rated their perceived competency of 22-item on a 5-point Likert scale
from 1=“very low level” to 5=“very high level”, which included three categories (TK, TPK, and
TPACK) [
          <xref ref-type="bibr" rid="ref12">12</xref>
          ]. Cronbach’s alpha test indicated high reliability; technological knowledge (TK)
category α=0.80 (e.g., “Basic ability to build an educational robot”), technological pedagogical
knowledge (TPK) category α=0.89 (e.g., “Know how to teach the programming aspects of
robotics.”), and technological pedagogical content knowledge (TPACK) category α=0.92 (e.g.,
“Ability to design appropriate robotics activities for STEM education.”). The questionnaire also
included an open-ended question: “How do you currently feel about your competencies to facilitate
student learning with the robotics kits?”.
        </p>
      </sec>
      <sec id="sec-2-9">
        <title>2.4.2. Anxiety in Performing Robotics Activities Questionnaire</title>
        <p>This questionnaire, adapted from Malik et al. [13], included six items to assess teachers’ anxiety in
performing different aspects of robotics activities (e.g., “redesign and construct a new robot”).
Responses were ranked on a 5-point Likert scale from 1=“very low level” to 5=“very high level”. A
Cronbach’s alpha test indicated high reliability (α=0.93). Furthermore, the questionnaire included
an open-ended question: “How anxious do robotics tasks make you?”.</p>
      </sec>
      <sec id="sec-2-10">
        <title>2.4.3. Attitude Toward Integrating Robotics Activities into STEM Education</title>
      </sec>
      <sec id="sec-2-11">
        <title>Questionnaire</title>
        <p>This questionnaire contains 11 items based on [14] (e.g., “integrating robotics into STEM education
should be mandatory”) and addresses teachers’ attitudes toward using robotics in STEM education.
Responses were ranked on a 5-point Likert scale from 1=“strongly disagree” to 5=“strongly agree”.
A Cronbach’s alpha test indicated high Results (α=0.91).</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3. Results</title>
      <p>At the beginning of the program, teachers were hesitant to disassemble robot models or modify
code without supervisor approval, strictly following instructions. As the program progressed, they
became more independent and creative, confidently experimenting, making changes, and testing
new scenarios without guidance. Next, we present the influence we found on self-efficacy, anxiety,
and attitudes.</p>
      <sec id="sec-3-1">
        <title>3.1. The Influence of the Task-Centered PD on Teachers’ Self-Efficacy Toward</title>
      </sec>
      <sec id="sec-3-2">
        <title>Robotics Activities</title>
        <p>Before and after the program, teachers reported their self-efficacy toward robotics activities on a
scale of 1=“very low level” to 5=“very high level” (see Table 1). Teachers’ TPK self-efficacy
significantly increased t(16)=2.13, p&lt;.05. Likewise, teachers’ TPACK self-efficacy significantly
increased t(16)=2.13, p&lt;.05. Although teachers’ TK self-efficacy improved, the difference was only
marginally significant, t(16)=2.13, p=0.071. After the program, we also asked the teachers: “Do you
need additional training to teach new robotics topics in your STEM classes?”. Teachers reported
that they would be interested in such training. Specifically, teachers were interested in more
scientific activities (e.g., “I need to be exposed to additional scientific activities in robotics”) and in a
community of practice (e.g., “If I want to receive advice, I will have someone to turn to”).</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.2. The Influence of the Task-Centered PD on Teachers’ Anxiety Levels in</title>
      </sec>
      <sec id="sec-3-4">
        <title>Performing Robotics Activities</title>
        <p>Before and after the program, teachers rated their anxiety when performing robotics tasks on a
scale from 1=“very low” to 5=“very high”. We found that anxiety levels significantly decreased by
the end of the program, t(16)=2.13, p&lt;.05 (see Table 1). Furthermore, teachers’ responses to the
open-ended question “How anxious do robotics tasks make you?” revealed several insights. Some
teachers reported becoming more open to independently developing models after the program (e.g.,
“Before, I only allowed my students to build robots with ready-made building instructions. Today, I
encourage students to be creative and implement their ideas”). Three teachers reported very low
anxiety about robotics tasks both before and after the program (e.g., “I’m curious and not anxious by
challenges...”). Interestingly, some teachers reported increased anxiety after the program, as they
became aware of the complex interdisciplinary nature of integrating robotics into STEM education
(e.g., “I feel stressed when I can’t support students with programming or building ideas in real-time”).</p>
      </sec>
      <sec id="sec-3-5">
        <title>3.3. The Influence of the Task-Centered PD on Teachers’ Attitudes Toward</title>
      </sec>
      <sec id="sec-3-6">
        <title>Integrating Robotics into STEM Education</title>
        <p>Before and after the program, teachers reported their attitudes toward using robotics on a scale of
1=“strongly disagree” to 5=“strongly agree”. Although teachers’ attitudes improved, the difference
was only marginally significant, t(16)=2.13, p=0.07. Overall, teachers’ attitudes remained high,
slightly increasing from M=4.01, SD=1.12 to M=4.54, SD=0.52 (see Table 1).
Self-efficacy, anxiety, and attitudes scores pre- and post the PD</p>
        <p>Self-efficacy</p>
        <p>Total TK self-efficacy score</p>
        <p>Total TPK self-efficacy score</p>
        <p>Total TPACK self-efficacy score
Overall anxiety level
Total attitudes toward robotics in STEM education
Pre</p>
        <p>Post
M
2.85
2.16
2.17
3.13
4.01</p>
        <p>SD
1.50
1.24
1.18
1.56
1.12</p>
        <p>M
3.35
3.85
4.02
1.83
4.54</p>
        <p>SD
1.02
0.85
0.84
1.01
0.52</p>
        <p>P-value</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Discussion</title>
      <p>
        This study examined the potential of a Task-Centered PD for integrating robotics into STEM
education. Findings show an increase in STEM teachers’ self-efficacy in hardware, software, and
pedagogical robotics activities, regardless of prior programming experience. These findings align
with Bandura’s social cognitive theory [15], which links perceived personal control in facilitating
behavioral change. As teachers experienced success with robotics tasks, their self-efficacy increased
[15]. The study demonstrates how the Task-Centered Instructional Strategy [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] may be used to
develop self-efficacy in coding and robotics competencies in STEM teachers. This strategy,
combining direct instruction with progressively complex tasks, may support novice teachers in
developing robotics competencies, consistent with Merrill’s framework and Rosenberg-Kima et al.
[
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], who showed that such structured approaches can enhance self-efficacy. In our study, teachers
also reported reduced anxiety, which may increase their self-efficacy, confidence, and willingness
to integrate robotics activities into teaching, as also supported by Bandura’s view that low anxiety
enhances the adoption of technological innovation [15]. While self-efficacy and anxiety showed
significant changes, the improvement in attitude towards the integration of robotics activities was
not statistically significant. One possible explanation is that many participants may have already
held positive attitudes toward robotics before the program, limiting measurable change.
Interestingly, some teachers, following their participation in the PD, recognized that robotics
environments may be more complex and offer more features and potential than they had initially
anticipated. This realization is consistent with Khanlari [14], who found that despite recognizing
the educational value of robotics, teachers face challenges such as limited technical support and
low confidence in their skills, that hinder effective classroom integration. Further research could
explore these realizations and their implications for teaching and learning.
      </p>
      <p>Future studies should address this study’s limitations, including the absence of a control group,
small sample size, and lack of actual competence measurement. Although most participants had no
robotics experience, their STEM backgrounds may have supported their development of
roboticsrelated competencies.</p>
      <p>In conclusion, this research suggests an approach to prepare STEM teachers with no robotics
background to incorporate robotics into their lessons. We believe this approach can be
implemented to support teachers’ use of educational robotics across different domains.</p>
    </sec>
    <sec id="sec-5">
      <title>Acknowledgments</title>
      <p>This research is partially supported by the Technion - Israel Institute of Technology grant.</p>
    </sec>
    <sec id="sec-6">
      <title>Declaration on Generative AI</title>
      <p>During the preparation of this work, the authors used Grammarly and aqauillabaot in order to:
Grammar and spelling check. After using these tools, the authors reviewed and edited the content
as needed and takes full responsibility for the publication’s content.
[13] A. Mallik, S. B. Rajguru, and V. Kapila, “Fundamental: Analyzing the Effects of a Robotics
Training Workshop on the Self-efficacy of High School Teachers,” in American Society for
Engineering Education Annual Conference &amp; Exposition”, June, 2018, pp. 24–27.
[14] A. Khanlari, “Teachers’ perceptions of the benefits and the challenges of integrating
educational robots into primary/elementary curricula,” European Journal of Engineering
Education, vol. 41, no. 3, pp. 320–330, May 2016, doi: 10.1080/03043797.2015.1056106.
[15] A. Bandura, “Social Cognitive Theory: An Agentic Perspective,” Asian Journal of Social
Psychology, vol. 2, no. 1, pp. 21–41, 1999, doi: https://doi.org/10.1111/1467-839X.00024.</p>
    </sec>
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