Positive Resources of School Class Communities—Determinants of Student Satisfaction by Tonči Bavčević, Boris Milavić, Damir Bavčević, Matej Babić, Dražen Čular

“…More than half of the students were not completely satisfied with their class community. …”
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Search Behavior and Opinions of Undergraduate Student Users of a Library Discovery System by Shih-Chuan Chen

“…Therefore, the library should improve the design of the interface and provide instructions and guidance on the use of the library Discovery services to attract more students to use it. These findings may help university libraries and vendors better understand undergraduate students’ search behavior and the problems encountered by students when using the discovery system. …”
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Factors that Influence Student Decisions in Purchasing Instant Noodle Products of The Sedaap "Goreng" Brand at Jember State Polytechnic by Lutmika Frida, Muksin, Ratih Puspitorini Yekti Ambarkahi

“… This study reveals influences on consumer behavior, especially students on purchasing decisions, by analyzing the factors that influence students' purchasing decisions for Brand Sedap Instant Fried Noodles products. …”
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Sound and vision: evaluating the student experience of audio-visual feedback in higher education by Jill Gould, Patricia Day

“…Greater use of distance and electronic learning can result in a lack of personalisation which students find challenging. Feedback which uses the spoken word has been found to be more personalised and supportive, helping to establish connection and engagement with students. …”
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Understanding Student Engagement And Satisfaction With Chatgpt In Dental Education: A Qualitative Exploration by Hassan Jan, Atteeb Fatima, Mian Bilal Ahmad, Ayesha Arshad, Malik Zain Ul Abideen, Jawad tareen

“… Objective: The study aimed to explore the engagement and satisfaction levels of dental students in Pakistan using ChatGPT as a supplementary learning tool. …”
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Examining the determinants of student academic performance in Somaliland: estimating unobserved effects at student and school levels using multi-level logistic regression by Mohamoud Jama Ali, Christophe Chesneau, Abdisalam Hassan Muse

“…It utilizes a dataset of 14,342 students and employs a multi-level logistic regression model to analyze how these variables affect students’ performance in national secondary exams. …”
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Exploring the Potential and Challenges of ChatGPT in Language Education: An Investigation into Student Teachers’ Critical Thinking, Interactions and Activity Design by Corinne Baradel

“…However, little is known about its application in designing classroom activities for language learners, its usefulness for language students and educators, and its effect on students’ critical thinking skills. …”
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The Efforts of Islamic Religious Education Teachers in Developing Student Discipline by Della Maryati, Oyoh Bariah, Khalid Ramdani

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Bridging the Gap: Enhancing Communication and Productivity in Academic Relations – Emphasis on the Professor-Student Relationship by Milena Medojevic

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Exploring the Diffusion of Digital Technologies in Higher Education Entrepreneurship: The Impact of the Utilization of AI and TikTok on Student Entrepreneurial Knowledge, Experience, and Business Performance by Hisar Sirait, Hendratmoko, Rizqy Aziz Basuki, Rahmat Aidil Djubair, Gavin Torinno Hardipura, Endri Endri

“…This research employs a mixed-methods design, combining qualitative and quantitative elements, with the quantitative aspect analyzed through Structural Equation Modeling–Partial Least Squares (SEM–PLS) and the qualitative aspect analyzed through in-depth interviews with student entrepreneurs. The survey included participation from 125 students, with three additional students serving as key informants. …”
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Individual Difference Predictors of Attitudes toward Polyamorous Targets and Likelihood to Date a Polyamorous Partner in a Student Sample by B. J. Rye, Rebecca Goldszmidt

“…An online survey was completed by a convenience sample of 495 students to assess attitude toward polyamorous targets as an outgroup using 0–100 feeling thermometers. …”
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Digital Teaching Practices and Student Academic Stress in the Era of Digitalization in Higher Education by Roger Pedro Norabuena-Figueroa, Angel Deroncele-Acosta, Hugo Marino Rodríguez-Orellana, Emerson Damián Norabuena-Figueroa, Milagros Catalina Flores-Chinte, Lourdes Liz Huamán-Romero, Víctor Hilario Tarazona-Miranda, Marybel Esther Mollo-Flores

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Artificial Intelligence (AI) in Education: A Case Study on ChatGPT’s Influence on Student Learning Behaviors by Thuy Nhu Thi Nguyen , Nam Van Lai , Quyet Thi Nguyen

“…A mixed-methods approach was used, involving 73 first and second-year students from HCMUTE selected through stratified random sampling. …”
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Enhancing Teacher Mental Health Literacy: Reliability Assessment of the Student Mental Health Awareness Questionnaire in Malaysia by Mohd Faiz Fansuri Mohd Affandy, Azlinda Azman, Intan Nooraini Zainol

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EVALUATION OF THE MBKM INTERNSHIP PROGRAM ON THE LEVEL OF STUDENT SATISFACTION IN ACHIEVING LEARNING OBJECTIVES by Patricia Sulaowady, Samuel Elmer Limputra, Maichal Maichal

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Riuscirà l’essere umano a fermare la devastazione del proprio habitat? Una ricerca sugli studenti del terzo anno di Sociologia by Claudio Tognonato

“…The article presents the results of an action-research study of the environmental crisis, which was carried out by two groups of third year students, from two different academic years, enrolled in the sociology degree program. …”
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A comparative study of student perceptions on generative AI in programming education across Sub-Saharan Africa by Solomon Sunday Oyelere, Kehinde Aruleba

“…It involves 322 university students, using purposive sampling and online questionnaires. …”
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Integrating Random Forest with Neutrosophic Logic for Predicting Student Academic Performance and Assessing Prediction Confidence by Franklin Parrales-Bravo, Roberto Tolozano-Benites, Alexander Castro-Mora, Leonel Vasquez-Cevallos, Elsy Rodríguez-Revelo

“…This study proposes a hybrid approach to predict students’ final academic performance in a mathematics course by integrating Random Forest, a supervised machine learning model, with neutrosophic logic to assess prediction reliability. …”
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Significant Learning Experience Defined by Student Perceptions: A Four-Year Examination by Dakota Horn, Christopher Marsh, Jennifer Gruening Burge

“…Through open-ended comments provided at the end of the National Survey of Student Engagement and thematic analysis, interesting information emerged about how students define significant learning experiences. …”
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Effects of Perceived Parental and Personal Goal Orientations on Student Engagement in Mathematics Lessons: Differences Between Underclassmen and Upperclassmen by Hülya Yıldızlı, Ali Bostancioglu

“…In addition, student mastery-approach goals predicted classroom engagement more consistently than performance-related goals. …”
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