Journal of Counseling, Education and Society
Journal of Counseling, Education and Society ISSN: 2716-4896 (Print) , ISSN 2716-4888 (Electronic) is a peer-reviewed journal and scientific journal managed by the ELORA Center for Research & Innovation. Journal of Counseling, Education and Society a multi-disciplinary, peer-refereed open-access international journal which has been established for the dissemination of state-of-the-art knowledge in the field of education, teaching, development, instruction, educational projects and innovations, learning methodologies and new technologies in education and learning and social sciences. Papers for publication in this journal are selected through precise peer-review to ensure quality, originality, appropriateness, significance and readability. The journal encompasses a variety of topics of education and learning, including but not limited to child development, curriculum, reading comprehension, philosophies of education, STEM education, instructional technology, technology education, inquiry-based learning, project-based learning, problem-based learning, simulation-based learning, pedagogic and educational approaches, learning management, language teaching researches, teaching and learning at all levels of schooling and institutions of higher learning, the education of special groups, gender and education, theories of education, educational research and methodologies, educational psychology (emotional, social, and cognitive learning processes), e-learning, Computer supported collaborative Work, emerging technologies in education, educational software & serious games, e-content management and development, general issues in education and learning, contributions to current debates in teacher education throughout the world, generally or on specific issues, and Social Sciences
Articles
144 Documents
Transformation of deep learning education through integration of adaptive AI and data analytics
Suesilowati Suesilowati;
Bernadin Maria Noenoek Februati;
Aldian Yusup;
Muhammad Rizki Perdana
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces684400
The rapid advancement of digital technology has accelerated the transformation of educational systems through the integration of Artificial Intelligence (AI) and data analytics. In the context of twenty-first-century education, adaptive learning technologies are increasingly utilized to support personalized, learner-centered, and data-driven learning environments. This study aims to analyze the transformation of deep learning education through the integration of adaptive AI and data analytics, focusing on its opportunities, challenges, and implications for educational practice. The study employed a Narrative Literature Review (NLR) method by examining relevant literature from scientific journals, books, conference proceedings, policy documents, and institutional reports. Data were collected from reputable databases and analyzed using thematic analysis to identify major patterns and emerging themes. The findings indicate that adaptive AI enhances personalized learning by tailoring instructional content, feedback, and learning pathways to individual learner needs. Meanwhile, data analytics strengthens educational decision-making through evidence-based insights into learner performance and instructional effectiveness. However, challenges related to technological infrastructure, educator competencies, data privacy, algorithmic bias, and digital inequality remain significant barriers. Overall, the integration of adaptive AI and data analytics has substantial potential to create intelligent, effective, and sustainable educational ecosystems.
Social recognition as a mechanism for children's identity restoration: a study of the porayamata practice in the pamona indigenous community
Asri Efriani Sauru;
J.T. Lobby Loekmono;
Izak Yohan Martriks Lattu;
Tony Robert Christian Tampake
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces689500
Children's identity within Indigenous communities is constructed not only through family relationships but also through social recognition and community acceptance. This study aims to examine how the Porayamata practice reconstructs the identity of ana ngkadoe within the Pamona Indigenous community and to explore its implications for social justice counseling. The study employed a qualitative approach with a critical ethnographic design, utilizing in-depth interviews, participant observation, and document analysis. The findings reveal that ana ngkadoe experience limited recognition within the kinship system, which affects their social standing. Through the involvement of families, the Dewan Adat, customary symbols, and community recognition, Porayamata reconstructs children's identities as legitimate members of both the family and the broader community. These findings suggest that identity restoration requires institutionalized social recognition embedded in cultural practices, thereby extending the perspective of social justice counseling, which has traditionally focused primarily on individual-level change.
Students' mathematical understanding ability in curved-sided space structure material reviewed from self-confidence through learning with potrame media
Adinda Cahya Fadillah;
Nuriana Rachmani Dewi
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces691300
This study examined the effect of POTRAME, an augmented-reality (AR)-enhanced pop-up book medium, on ninth-grade students’ mathematical understanding of curved-sided three-dimensional shapes and explored differences by self-confidence. A mixed-methods design was employed, with quantitative data collected first, followed by qualitative explanation (Toyon, 2021). The quantitative phase used a quasi-experimental one-group pretest–posttest design involving 25 ninth-grade students from one public junior high school in Semarang City, selected through cluster random sampling (Li et al., 2024). The qualitative phase involved six students representing high, moderate, and low self-confidence categories. The mathematical understanding test and self-confidence questionnaire were validated by three experts and piloted. The test obtained an Aiken’s V of 0.81 and Cronbach’s alpha of 0.79, while the questionnaire obtained an Aiken’s V of 0.83 and Cronbach’s alpha of 0.85, indicating acceptable validity and reliability (Maulana, 2022; Zakariya, 2022). Quantitative data were analyzed using the paired-sample t-test and N-Gain index, while qualitative data were analyzed descriptively through data reduction, display, and conclusion drawing (Rofiah, 2022). Mean scores increased from 14.31 at pretest to 74.96 at posttest, with an N-Gain of 0.71 (high category) and a significant paired-sample t-test result (p < .05). Higher-self-confidence students demonstrated more coherent and systematic conceptual understanding, whereas lower-self-confidence students had greater difficulty organizing solutions. Because the study lacked a control group, the findings indicate an association between POTRAME use and improved mathematical understanding rather than definitive causal effects. The results provide exploratory support for further evaluation of AR-based pop-up book media in geometry instruction.
Career self-efficacy as a mediator between school counseling and career indecision: a systematic literature review
Yetti Helda;
Miftahul Fikri;
Yeni Karneli;
Rezki Hariko
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces692100
Career indecision remains a major challenge in school-to-work transitions among vocational education students, whose career exploration is often constrained by early exposure to workplace demands and vocational curricula. This study systematically reviewed the relationship between career self-efficacy and career indecision and examined the role of school career counseling among vocational education students. Following the PRISMA 2020 framework, a systematic search was conducted in the Scopus database using terms related to career self-efficacy, career indecision, career decision-making, vocational education, and school/career counseling. Study quality was assessed using the four-domain FICO framework, and findings were synthesized thematically. The search identified 191 records, of which 50 articles from various countries and contexts were included, primarily published between 2011 and 2023. Four themes emerged: career decision-making self-efficacy consistently predicted lower career indecision and greater career adaptability; social support from parents, teachers, and counselors strengthened self-efficacy; structured career guidance reduced irrational career beliefs and indecision, although evidence among vocational high school students remained limited; and psychological assets such as resilience, proactive personality, and emotional intelligence influenced the self-efficacy–indecision relationship. The findings support Social Cognitive Career Theory and suggest that vocational schools should incorporate structured, counselor-led self-efficacy development activities. Further research is needed across diverse vocational education contexts, particularly beyond East Asian settings.
Perkembangan riset chatbot dalam bimbingan dan konseling: analisis bibliometrik literatur global
Wiki Lofandri;
Saftrian Mukhlizul Fuad;
Bayu Ramadhan Fajri
Journal of Counseling, Education and Society Vol. 6 No. 1 (2025): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces692200
Pemanfaatan chatbot dalam layanan bimbingan dan konseling berkembang pesat sejalan dengan meningkatnya kebutuhan dukungan psikologis yang dapat diakses kapan saja, sementara jumlah tenaga konselor manusia relatif terbatas dibandingkan kebutuhan populasi. Penelitian ini menyajikan pemetaan bibliometrik terhadap perkembangan literatur global mengenai chatbot dalam konteks konseling, bimbingan, dan dukungan kesehatan mental selama periode 2021-2025. Data diperoleh dari basis data Scopus menggunakan strategi Boolean yang menggabungkan istilah chatbot/agen percakapan dengan istilah konseling, bimbingan karier, dan dukungan kesehatan mental, dengan proses penyaringan bertahap hingga diperoleh 1.189 artikel jurnal berbahasa Inggris tahap final. Analisis dilakukan menggunakan pendekatan performance analysis (tren publikasi, analisis sitasi, Hukum Bradford, Hukum Lotka, analisis negara, dan analisis kata kunci) dengan bantuan Bibliometrix/Biblioshiny. Hasil menunjukkan lonjakan produksi ilmiah yang tajam sejak 2023, didominasi oleh jurnal-jurnal rumpun kesehatan digital seperti Journal of Medical Internet Research, dengan Amerika Serikat, Tiongkok, dan Inggris sebagai kontributor utama. Pola produktivitas penulis mengikuti Hukum Lotka dengan mayoritas penulis hanya berkontribusi pada satu dokumen, sementara kata kunci "artificial intelligence", "chatbot", dan "mental health" mendominasi struktur tematik, dengan istilah "large language models" dan "ChatGPT" muncul sebagai topik yang berkembang pesat pascakemunculan model bahasa generatif. Penelitian ini mengidentifikasi kesenjangan riset pada domain bimbingan karier dan konseling sekolah formal yang masih under-represented dibandingkan dominasi domain kesehatan mental klinis, serta merumuskan agenda riset masa depan terkait integrasi large language model dalam layanan bimbingan dan konseling berbasis sekolah.
Alignment between learning preparation and competency assessment in indonesia's teacher certification program: perspectives of geography teachers
Riki Rahmad;
Novida Yenny;
Mona Adria Wirda;
Nabila Anggraini;
Nurul Tia Shakilla Nasution
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces691400
This study investigated the alignment between online learning modules and the Uji Kompetensi Peserta PPG (UKPPPG) for Geography teachers in Indonesia's Pendidikan Profesi Guru (PPG) program. Using a descriptive phenomenological approach with nine teacher alumni and two instructors from Universitas Negeri Medan, data were gathered through interviews, a focus group discussion, and document analysis. Thematic analysis revealed partial alignment: while general pedagogy and performance assessments matched well, a significant structural gap emerged between the preparation provided and the cognitive demands of the Pedagogical Content Knowledge (PCK) test, which predominantly featured generic rather than subject-specific items. Additional challenges included balancing professional duties, surface-learning strategies, and limited Geography-specific pedagogical integration. Participants recommended a two-tier curriculum combining general and subject-specific modules to improve instructional coherence and assessment validity under Permendikbudristek No. 19/2024.
Mengintegrasikan ekoliterasi dan pembelajaran bahasa melalui pedagogi digital dayak dalam pendidikan anak usia dini
Kartika Fajriani;
Heppy Liana;
Kusnadi Kusnadi;
Salma Aulia;
Petrus Dori
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces692700
Penelitian ini bertujuan mengembangkan Model Konseptual Eco-Literacy Budaya Dayak (ECO-DL) yang mengintegrasikan literasi bahasa dan ekoliterasi berbasis kearifan lokal melalui teknologi pendidikan digital untuk anak usia dini di Kalimantan Timur. Latar belakang penelitian ini adalah terbatasnya integrasi nilai lingkungan, budaya lokal, dan inovasi digital dalam praktik pembelajaran PAUD, khususnya di komunitas berbasis budaya Dayak Pampang. Penelitian menggunakan pendekatan Design-Based Research (DBR) melalui tahapan eksplorasi, desain, dan validasi ahli. Data dikumpulkan melalui observasi, wawancara, FGD, survei, dan analisis dokumen, kemudian dianalisis dengan metode kualitatif tematik dan statistik deskriptif. Temuan menunjukkan bahwa kearifan lokal Dayak mengandung nilai ekoliterasi yang kuat, seperti tanggung jawab lingkungan, keseimbangan ekosistem, dan kerja sama komunal, namun belum terintegrasi secara sistematis dalam pembelajaran anak usia dini. Model ECO-DL yang dihasilkan terdiri atas empat sintaks utama: Eksplorasi Budaya dan Alam, Konstruksi Bahasa dan Makna, Internalisasi Nilai Eco-Literacy, serta Aksi dan Kreasi Digital. Validasi ahli menunjukkan tingkat kevalidan rata-rata sebesar 80% (kategori Valid), dengan aspek desain model dan asesmen mencapai kategori Sangat Valid.Secara teoretis, model ini berkontribusi pada pengembangan eco-pedagogy dan pembelajaran digital yang responsif terhadap budaya. Secara praktis, model mendukung implementasi SDGs 4 (Pendidikan Berkualitas) dan SDGs 13 (Aksi Iklim), serta agenda transformasi pendidikan Indonesia melalui pedagogi berbasis budaya dan berorientasi lingkungan.
Wearable sensing and deep learning for human activity and action recognition in sport and physical activity: a systematic review
Nilma Zola;
ifdil ifdil;
M. Fahli Zatrahadi
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces693300
The fast merging of sensors which can be worn, the interconnected network of things, and the power of artificial intelligence changed the game in measuring movements during sports and physical activity, however, the information on how such systems can detect various athletic activities is still scattered mainly within engineering, sports-science, and health fields. In this systematic review the authors gathered studies which used wearable or vision-based sensors with different forms of machine/deep-learning models to identify human actions and activities during sporting and physical activity scenarios. Scopus, PubMed, and ScienceDirect were searched in compliance with PRISMA 2020 and 658 records were found. After removing 10 duplicates, 648 were screened, 50 full texts were evaluated, and 20 studies were found eligible. These were peer-reviewed English-language publications or reviews published within the last five years (2021 to 2026). Main topics of the research are the combination of inertial and multimodal sensors with the attention-based and hybrid convolutional-recurrent architectures that have yielded a high level of recognition performance for sports actions, together with the trend in research focusing on free-living, edge-deployable, and personal monitoring. The review points to key areas for further research being generalisability, standardised reporting, and athlete-centred validation.
When algorithms read the athlete's mind: a systematic review of artificial intelligence and machine learning for detecting and monitoring athletes' psychological and emotional states
Nilma Zola;
ifdil ifdil;
M. Fahli Zatrahadi
Journal of Counseling, Education and Society Vol. 6 No. 1 (2025): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces693400
Athletes are subjected to persistent physiological and psychological stresses; however, it is a challenge to monitor accurately, in real, and at the larger scale their affective and mental conditions. Traditional self-report and clinical instruments are intrusive, retrospective, and prone to reporting bias which have triggered the use of artificial intelligence (AI) and machine learning (ML) in sport psychology. The present systematic review integrates the findings of AI- and ML-based detection, monitoring, and assessment of athletes' psychological and emotional states. APRISMA2020 process was followed to identify six hundred and twenty-five records from a pool of articles obtained via the Scopus database, which were then filtered based on the predefined eligibility criteria. In the end, after the elimination of articles via the title/abstract screening or the full-text article evaluation, 21 empirical studies from the years 2021 to 2025 were the ones to have been identified and included. For the purposes of quality and validity, the articles were judged by Mixed Methods Appraisal Tool and the results were pooled thematically. The research results revealed that when combining various physiological signals with classical ML or deep learning, recognition of emotions, stress, mental fatigue, and mental-health risk can be reached with accuracy above 85%. A major direction for future work and translation of these technologies is real-time wearable-enabled feedback. The critical issues identified were external validation, ecological realism, ethical governance, standardised datasets, longitudinal designs, and transparent and privacy-preserving deployment.
Entrepreneurial interest, career development, and economic independence among athletes: a systematic literature review (2020–2026)
Eval Edmizal;
Fadli Ihsan
Journal of Counseling, Education and Society Vol. 7 No. 1 (2026): Journal of Counseling, Education and Society
Publisher : Indonesian Institute for Counseling, Education and Theraphy
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DOI: 10.29210/08jces693500
Athletes face relatively short and uncertain career trajectories, making career transition and economic independence important concerns. This systematic literature review examined how entrepreneurial interest, entrepreneurship education, financial literacy, and related competencies support athletes’ career development, employability, and economic independence. Following the PRISMA 2020 framework, a structured search of the Scopus database identified 134 records, of which 50 studies met the eligibility criteria and were included in the qualitative and thematic synthesis. The findings revealed four major themes: the role of sport-specific competencies and entrepreneurship education in developing entrepreneurial intention and self-efficacy; the contribution of dual-career and structured transition programs to post-career entrepreneurship; the broader economic benefits of sport-related social entrepreneurship; and the moderating effects of gender, sport discipline, and institutional support. Overall, entrepreneurial competencies and educational support can strengthen athletes’ career adaptability, employability, and economic independence during and after their sporting careers. Future research should emphasize longitudinal designs, cross-national comparisons, and validated measures of athlete-specific entrepreneurial self-efficacy.