Prediction of Middle School Students’ Recycling Behaviors with Machine Learning Algorithms by Fatma Merve Mustafaoğlu, Fatma Alkan

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Digital citizenship in schools: nine elements all students should know, in Mike Ribble 3.ed. Arlington, VA, USA: International Society for Technology in Education, 2015. by Simão Pedro P. Marinho, Flávia Cardoso Carneiro

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Penerapan Strategi Pembelajaran STAD (Student Teams Achievment Division) untuk Meningkatkan Hasil Belajar Qawaid Nahwiyah Peserta Didik Kelas VIII di MTs Al-Khairiyah Kaliawi Bandar Lampung by Abdul Hamid

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Indicators of physical activity and fitness of male students at Russian universities by Aleksander Yu. Osipov, Vladimir Potop, Roman S. Nagovitsyn, Elena A. Zemba, Aleksander P. Knyazev, Irina I. Orlova, Tatyana I. Ratmanskaya, Sergii S. Iermakov

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Analysis of Student Dropout Risk in Higher Education Using Proportional Hazards Model and Based on Entry Characteristics by Liga Paura, Irina Arhipova, Gatis Vitols, Sandra Sproge

“…Students in economics and social sciences were at lower dropout risk than the students from the other faculties. …”
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Basic psychological needs satisfaction, intrinsic motivation, and studying sports protect university student-athletes from burnout: insights from Latvia by Svens Vilks, Aleksandrs Kolesovs

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AN ANALYSIS OF LEARNING STRESS LEVELS IN ONLINE AND DISTANCE LEARNING (ODL) AMONG FIRST AND SECOND YEAR TECHNICAL ENGINEERING STUDENTS DURING COVID -19 PANDEMIC by Siti Dewi Zatia Zahari, Salmah Anisah Abu Hasan, Sumaiyyah Omar

“…The lockdown and movement restrictions have changed students’ daily lives substantially and forced them to adjust to new norms in studying which increased concerns towards their stress levels. …”
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Formation of students' social responsibility in a rapidly changing society by E. I. Antipova, R. A. Litvak

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Online Behavior Analysis-Based Student Profile for Intelligent E-Learning by Kun Liang, Yiying Zhang, Yeshen He, Yilin Zhou, Wei Tan, Xiaoxia Li

“…In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. …”
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Socio-geographical challenges of migrants: Bangladeshi students’ lived spaces in Hungary by Suchi, Laila Parvin

Subjects: “…student migration…”
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Mind the Gap: Age-Related Differences in Students’ Perceptions of English Foreign Language Teacher and Motivation by Morana Drakulić

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Factors associated with applying to graduate/professional degrees for students engaged in undergraduate research experiences at minority serving institutions by Lourdes E. Echegoyen, Kala M. Mehta, Karsten Hueffer, Gabriela Chavira, Jacob D. Kagey, Thomas E. Keller, Kathleen M. Morgan, Stephen B. Aley, Chi-Ah Chun, Payam Sheikhattari, Amy Wagler

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Millennial university students’ valuation of traditional wine: Evidence from an experimental auction by Elói Jorge, Ernesto Lopez-Valeiras, Maria Beatriz Gonzalez-Sanchez

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Digital evaluation of occlusal reduction of metal crown preparations in students in the COVID-19 era: A cross-sectional study by Khadijah M. Baik

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Investigation of The Impact of Parents' Occupation on The Academic Grades of High School Students by Puput Roshita, Roihan Achwan, Ratna Setianingsih, Pradita Wulandari

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Analysis of the Correlation Between English Language Proficiency and the Professional Readiness of Students in Teacher Education Study Programs in Entering the Workforce by Mella Narolita, Sri Rahayu

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The Influence of The Ability to Read Al-Qur'an on The Quality of Students Memorization of Al-Qur'an by Nanda Lifia Alfisyah, Zulkarnain Harahap, Muhammad Ruslan

“…The population in this study were students of Ma'had Abu Ubaidah bin Al-Jarrah tahfiz house. …”
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AI-based Assessment for Learning on Students’ Critical Thinking by Watsachol Narongsaksakul

“…This paper explores AI-based assessment in education (AIED), focusing on its benefits and challenges for assessing critical thinking in diverse students post-Chat GPT. It covers AI-enhanced assessment for learning to promote diversity and cultural responsiveness, biases in AI technologies, and AI-assisted critical thinking assessment. …”
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Australian ITE Primary students’ preparedness to teach Arts education: An investigation of perceptions, beliefs and confidence by Bradley Merrick, Dawn Joseph, William Baker

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Exploring international students' perceptions of adopting generative artificial intelligence (GenAI) technologies in learning by Changwhan Cho, Duke Ofosu-Anim

“…The study also finds that male students are more likely to use GenAI than female students. …”
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