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  <ns1:general>
    <ns1:identifier>o:37620</ns1:identifier>
    <ns1:title language="sr">Korišćenje veštačke intelegencije u učenju jezika pospešuje samoregulisane veštine učenja kod studenta</ns1:title>
    <ns1:title language="en">Using Artificial Intelligence In LSP Learning Enhances Students&apos; Self-Regulated Learning Skills</ns1:title>
    <ns1:language>sr</ns1:language>
    <ns1:description language="sr">Korišćenje veštačke inteligencije (AI) za učenje stranog jezika struke poboljšava
samoregulisane veštine učenja učenika korišćenjem strukturiranih alata i programa
koji podstiču društveno zajedničku regulaciju. Sistematskom neeksperimentalnom
metodom, uz statističke analize kao zamene za eksperimentalne kontrole (korišćenje
SPSS programa za statističke analize) i ilustrativne primere u studiji, posmatra se
značaj i načini primene metode kojom se olakšava saradnja učenika i podstiče osećaj
zajedništva među učenicima primenom AI. Uspostavljanjem zajedničkih ciljeva,
učenici mogu zajedno raditi na njihovom ostvarivanju, što poboljšava njihovu
motivaciju i angažovanje u procesu učenja. Dok sarađuju, podstiču se da efikasno
komuniciraju, dele resurse i podržavaju jedni druge, stvarajući okruženje koje
pogoduje kolektivnom učenju i rastu. Ova interakcija sa vršnjacima igra ključnu
ulogu u razvoju jezičkih veština, jer učenici mogu da vežbaju i primenjuju svoje
znanje u diskusijama i aktivnostima u realnom vremenu. Štaviše, evaluacija
strategija postaje sastavni deo iskustva učenja. Kako učenici procenjuju svoje
pristupe na individualnom nivou, mogu da identifikuju šta im najbolje funkcioniše i
da shodno tome usavrše svoje tehnike. Cilj studije je da se sagleda u kojoj meri ,
korišćenjem digitalnih alata, učenici postižu veću stručnost stranog jezika, efikasnije
ispunjavajući akademska očekivanja. Dakle, istraživanje ima za cilj da istraži uticaj
motivacionih strategija uz primenu AI na akademski uspeh, fokusirajući se na ulogu
AI u samoregulaciji i efikasnosti. Pretpostavka je da se digitalizovana nastava
engleskog jezika struke smatra značajnim faktorom, sa dokazima koji ukazuju na
statistički značajnu prednost u motivacionim strategijama za učenike u digitalnim
programima engleskog stručnog jezika. Instrumentom, rađenim za potrebe ovoga
istraživanja, snimiće se interesovanja, značaj koji studenti daju korišćenju AI za
podsticanje i zadovoljavanje istih, i konačno, uticaj na uspeh u stranom jeziku
struke. Relijabilnost instrumenta, rađenog za potrebe ovoga istraživanja, testirana
Krombahovim alfa koeficijentom, iznosi 0.89. Prigodni uzorak iznosi 267 studenata
univerziteta u Srbiji, od kojih je 56 akademski darovitih (prosek iznad 9,00).
Osnovni nalazi pokazuju da ova refleksivna praksa promoviše samosvest i osnažuje
učenike da preuzmu odgovornost za svoje putovanje učenja. Integracijom ovih
elemenata, upotreba veštačke inteligencije u obrazovanju stranog jezika struke
poboljšava jezičku kompetenciju i neguje osnovne veštine kao što su kritičko azmišljanje, rešavanje problema i prilagodljivost – ključne kompetencije za uspeh u
današnjem brzo promenljivom svetu. Ove strategije doprinose poboljšanom
akademskom uspehu, pomažući u postavljanju ciljeva, raspodeli resursa, fokusiranju
pažnje i rešavanju problema. Identifikovane su slabosti u motivacionim strategijama,
kao što su raznovrsno predstavljanje informacija, strukturiranje koraka učenja i
efikasno uključivanje spoljašnjih povratnih informacija. Rešavanje ovih praznina
može poboljšati sposobnost učenika da regulišu svoje učenje i postignu uspeh u
obrazovanju za strani jezik (ESP), ističući ključnu ulogu digitalne transformacije u
oblikovanju efikasnih okruženja za učenje jezika.
</ns1:description>
    <ns1:description language="en">Using artificial intelligence (AI) for LSP (Language for Specific Purposes) learning
enhances students&apos; self-regulated learning skills by utilizing structured tools and
programs that foster socially shared regulation. Using a systematic non-experimental
method, with statistical analyses as a substitute for experimental controls (use of the
SPSS program for statistical analyses) and illustrative examples, the study observes
the importance and ways of applying the method that facilitates student cooperation
and encourages a sense of community among students by using AI. By establishing
common objectives, students can work together toward shared goals, which
enhances their motivation and engagement in the learning process. As they
collaborate, they are encouraged to communicate effectively, share resources, and
support one another, creating an environment conducive to collective learning and
growth. This peer interaction plays a crucial role in developing language skills, as
students can practice and apply their knowledge in real-time discussions and
activities. Furthermore, the evaluation of strategies becomes an integral part of the
learning experience. As students assess their approaches on an individual level, they
can identify what works best for them and refine their techniques accordingly. The
intention was to see to what extent students achieve greater proficiency in a foreign
language by using digital tools, more effectively meeting academic expectations.
The research aims to investigate the impact of motivational strategies with the
application of AI on academic success, focusing on the role of AI in self-regulation
and efficacy. The assumption is that digitized LSP instruction is considered a
significant factor, with evidence indicating a statistically significant advantage in
motivational strategies for students in digital LSP programs. The instrument created for the purpose of this research has recorded the interests, the importance that
students give to the use of AI to encourage and satisfy them, and finally, the impact
of success in the LSP. The reliability of the instrument, tested by Cronbach&apos;s alpha
coefficient, is 0.89. The convenient sample was 267 university students in Serbia, of
whom 56 are academically gifted (average above 9.00). From the basic findings it
was concluded that this reflective practice promotes self-awareness and empowers
students to take ownership of their learning journey. By integrating these elements,
the use of artificial intelligence in LSP education enhances linguistic competence
and nurtures essential skills such as critical thinking, problem-solving, and
adaptability—key competencies for success in today’s rapidly changing world. By
using digital tools, students achieve greater proficiency in LSP, meeting academic
expectations more effectively. Research aims to explore the impact of motivational
strategies on academic success, focusing on their role in self-regulation and
efficiency. Digitized LSP teaching is considered a significant factor, with evidence
suggesting a statistically significant advantage in motivational strategies for students
in digital LSP programs. These strategies contribute to improved academic
performance by aiding in goal-setting, resource allocation, attention focus, and
problem-solving. Weaknesses in motivational strategies were identified, such as
presenting information diversely, structuring learning steps, and incorporating
external feedback effectively. Addressing these gaps can enhance students’ ability to
regulate their learning and excel in LSP education, highlighting the critical role of
digital transformation in shaping effective language learning environments.

</ns1:description>
    <ns1:keyword language="sr">Ključne reči: koristi, digitalna transformacija učenja za strani jezik, IKT, samoregulisano učenje, strukturirano učenje.</ns1:keyword>
    <ns1:keyword language="en">Keywords: benefits, digital transformation of LSP learning, ICT, self-regulated learning, structured learning.</ns1:keyword>
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      <ns2:resource>1552100</ns2:resource>
      <ns2:identifier>978-86-7372-328-0</ns2:identifier>
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    <ns1:upload_date>2026-01-27T10:06:13.352Z</ns1:upload_date>
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        <ns3:firstname>Jelisaveta </ns3:firstname>
        <ns3:lastname>Šafranj</ns3:lastname>
        <ns3:institution>University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia</ns3:institution>
        <ns3:orcid>0000-0003-0861-2290</ns3:orcid>
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        <ns3:firstname>Aleksandra </ns3:firstname>
        <ns3:lastname>Gojkov Rajić</ns3:lastname>
        <ns3:institution>University of Belgrade, Techer Education Faculty</ns3:institution>
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        <ns3:firstname>Jelena </ns3:firstname>
        <ns3:lastname>Prtljaga</ns3:lastname>
        <ns3:institution>Preschool Teacher Training and Medical College in Vršac, Serbia</ns3:institution>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0009-0009-7415-0830</ns3:orcid>
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  <ns12:digitalbook>
    <ns12:name_magazine language="sr">DAROVITI I VEŠTAČKA INTELIGENCIJA: izazovi i ograničenja u podsticanju izvrsnosti darovitih</ns12:name_magazine>
    <ns12:reihentitel>ZBORNIK REZIMEA</ns12:reihentitel>
    <ns12:volume>31</ns12:volume>
    <ns12:from_page>86</ns12:from_page>
    <ns12:to_page>88</ns12:to_page>
    <ns12:publisher>Visoka strukovna vaspitačka i medicinska škola u Vršcu</ns12:publisher>
    <ns12:releaseyear>2025</ns12:releaseyear>
    <ns12:alephurl>https://www.uskolavrsac.edu.rs/wp-content/uploads/2025/07/Zbornik-rezimea-31-sa-medjunarodnog-naucnog-skupa-Daroviti-i-vestacka-inteligencija-Izazovi-i-ogranicenja-u-podsticanju-izvrsnosti-darovitih-2025.pdf</ns12:alephurl>
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