Artificial intelligence (AI) drives new modes of learning and improves the workflow of instructors. Nevertheless, there are concerns about academic integrity, plagiarism, and the reduction of critical thinking in higher education. Therefore, it is important to record and analyze university social sciences students’ attitudes toward AI, which is a significant predictor of later use of AI technologies. A sample of 190 university students (82.45% female) from a Greek social sciences department was selected. Descriptive statistics revealed that students’ attitudes toward AI were mostly positive. A principal components analysis confirmed a three-component solution of attitudes toward AI, comprising cognitive, behavioral, and emotional dimensions. Comparative analysis of the three components indicated that the emotional dimension was the highest ranked, followed by the cognitive and behavioral dimensions. Pairwise correlation analyses revealed that the strongest correlate of cognitive, behavioral, and emotional components of attitudes toward AI was the future frequency of AI use, followed by general feelings of safety with technology. In conclusion, students display more emotional and cognitive favorable dispositions toward AI. The social background of the students and the prospective future use of AI play a key role in the formulation of attitudes toward AI. University educators need to provide more teaching and learning about AI to improve students’ attitudes toward AI and future AI use.
{"title":"University Students’ Attitudes toward Artificial Intelligence: An Exploratory Study of the Cognitive, Emotional, and Behavioural Dimensions of AI Attitudes","authors":"Argyrios Katsantonis, Ioannis G. Katsantonis","doi":"10.3390/educsci14090988","DOIUrl":"https://doi.org/10.3390/educsci14090988","url":null,"abstract":"Artificial intelligence (AI) drives new modes of learning and improves the workflow of instructors. Nevertheless, there are concerns about academic integrity, plagiarism, and the reduction of critical thinking in higher education. Therefore, it is important to record and analyze university social sciences students’ attitudes toward AI, which is a significant predictor of later use of AI technologies. A sample of 190 university students (82.45% female) from a Greek social sciences department was selected. Descriptive statistics revealed that students’ attitudes toward AI were mostly positive. A principal components analysis confirmed a three-component solution of attitudes toward AI, comprising cognitive, behavioral, and emotional dimensions. Comparative analysis of the three components indicated that the emotional dimension was the highest ranked, followed by the cognitive and behavioral dimensions. Pairwise correlation analyses revealed that the strongest correlate of cognitive, behavioral, and emotional components of attitudes toward AI was the future frequency of AI use, followed by general feelings of safety with technology. In conclusion, students display more emotional and cognitive favorable dispositions toward AI. The social background of the students and the prospective future use of AI play a key role in the formulation of attitudes toward AI. University educators need to provide more teaching and learning about AI to improve students’ attitudes toward AI and future AI use.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"318 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Service-learning is a community-based learning approach that bridges academic knowledge with practical application through purposeful exploration, action, and reflection. In addition to enhancing academic learning in various disciplines, service-learning cultivates students’ self-awareness, personal values, and social responsibility, preparing them with essential skills for life beyond the classroom. However, due to its experiential nature, service-learning presents challenges for effective assessment. This study provides a concrete example of student reflections structured by the Objective, Reflective, Interpretive, and Decisional (ORID) model in practice. Content analysis was implemented by examining undergraduate students’ end-of-semester reflection papers while volunteering during the 2022 FIFA World Cup in Qatar. The results showed that the model provided a guided and structured format for students to reflect on their service-learning, going beyond reporting on factual details to engaging in profound reflections on the emotional, cognitive, and prospective aspects. Moreover, with the solution aspect added to the model, students could express their creativity, articulating on innovative solutions they proposed to overcome challenges and how they turned the challenges into favorable outcomes. Clearly, the model stands as a powerful tool for educators, offering deeper insights into students’ authentic experiences, fostering comprehensive, critical, and insightful reflection, and thereby facilitating the effective assessment of experiential learning.
{"title":"Beyond the Classroom: Integrating the ORID Model for In-Depth Reflection and Assessment in Service-Learning","authors":"Fatma Kayan Fadlelmula, Saba Mansoor Qadhi","doi":"10.3390/educsci14090987","DOIUrl":"https://doi.org/10.3390/educsci14090987","url":null,"abstract":"Service-learning is a community-based learning approach that bridges academic knowledge with practical application through purposeful exploration, action, and reflection. In addition to enhancing academic learning in various disciplines, service-learning cultivates students’ self-awareness, personal values, and social responsibility, preparing them with essential skills for life beyond the classroom. However, due to its experiential nature, service-learning presents challenges for effective assessment. This study provides a concrete example of student reflections structured by the Objective, Reflective, Interpretive, and Decisional (ORID) model in practice. Content analysis was implemented by examining undergraduate students’ end-of-semester reflection papers while volunteering during the 2022 FIFA World Cup in Qatar. The results showed that the model provided a guided and structured format for students to reflect on their service-learning, going beyond reporting on factual details to engaging in profound reflections on the emotional, cognitive, and prospective aspects. Moreover, with the solution aspect added to the model, students could express their creativity, articulating on innovative solutions they proposed to overcome challenges and how they turned the challenges into favorable outcomes. Clearly, the model stands as a powerful tool for educators, offering deeper insights into students’ authentic experiences, fostering comprehensive, critical, and insightful reflection, and thereby facilitating the effective assessment of experiential learning.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"18 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Academic misconduct is ubiquitous, a fortiori during crisis periods. The present research examines undergraduates’ learning motivation, based on Self-Determination Theory and personality traits factors, according to the Big Five Factor Model, affecting academic misconduct across different time spans: Before, during, and after a life-changing event. Using online questionnaires, we measured the level of academic misconduct, learning motivation, and personality traits of 1090 social sciences students during five different time spans pre-COVID-19, during COVID-19 (before and after vaccination), and after COVID-19 (post and long post). The results showed significant differences in students’ self-reported academic misconduct levels among the different periods and similar misconduct levels in pre-COVID-19 and long post-COVID-19. Additionally, the findings exhibited that external motivation significantly increases academic misconduct and that two out of five personality traits (agreeableness and emotional stability) reduce their occurrences. We conclude that higher education preparedness for academic integrity during an emergency is still a desideratum and that ethical concerns should not be abandoned but rather be fully addressed during emergency periods. This could be addressed by instructors allocating tasks during emergency groups involving students with pro-social personalities (agreeableness and emotional stability) and intrinsic motivation to serve as social agents in deterring academic misconduct.
{"title":"Academic Integrity Crisis: Exploring Undergraduates’ Learning Motivation and Personality Traits over Five Years","authors":"Yovav Eshet","doi":"10.3390/educsci14090986","DOIUrl":"https://doi.org/10.3390/educsci14090986","url":null,"abstract":"Academic misconduct is ubiquitous, a fortiori during crisis periods. The present research examines undergraduates’ learning motivation, based on Self-Determination Theory and personality traits factors, according to the Big Five Factor Model, affecting academic misconduct across different time spans: Before, during, and after a life-changing event. Using online questionnaires, we measured the level of academic misconduct, learning motivation, and personality traits of 1090 social sciences students during five different time spans pre-COVID-19, during COVID-19 (before and after vaccination), and after COVID-19 (post and long post). The results showed significant differences in students’ self-reported academic misconduct levels among the different periods and similar misconduct levels in pre-COVID-19 and long post-COVID-19. Additionally, the findings exhibited that external motivation significantly increases academic misconduct and that two out of five personality traits (agreeableness and emotional stability) reduce their occurrences. We conclude that higher education preparedness for academic integrity during an emergency is still a desideratum and that ethical concerns should not be abandoned but rather be fully addressed during emergency periods. This could be addressed by instructors allocating tasks during emergency groups involving students with pro-social personalities (agreeableness and emotional stability) and intrinsic motivation to serve as social agents in deterring academic misconduct.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"58 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia H. Aguayo-Hernández, Alejandro Sánchez Guerrero, Patricia Vázquez-Villegas
This study aims to understand university professors’ perspectives on the learning assessment process, including its importance during teaching and learning, their conceptualization, and their considerations in their practices. The research used a grounded theory approach to recognize evaluation as a dialogical and intersubjective space. The methodology consisted of an open survey and a semi-structured interview with faculty professors from a university in northern Mexico. The findings highlighted the importance of educational institutions, emphasizing that faculties prioritize evaluating quality based on relevance, alignment with learning objectives, continuity throughout the process, and feedback. These aspects align with recent approaches that consider evaluation as a process that promotes learning, as evidenced by the high saturation rate in the theoretical sampling. Furthermore, the study revealed that the institution’s educational model, curricular design, and evaluation policies significantly influence the faculty members’ perspective. As a result, educational institutions must consider these factors when formulating an evaluation model, thereby making the research directly applicable to the work of educational policymakers and university professors.
{"title":"The Learning Assessment Process in Higher Education: A Grounded Theory Approach","authors":"Claudia H. Aguayo-Hernández, Alejandro Sánchez Guerrero, Patricia Vázquez-Villegas","doi":"10.3390/educsci14090984","DOIUrl":"https://doi.org/10.3390/educsci14090984","url":null,"abstract":"This study aims to understand university professors’ perspectives on the learning assessment process, including its importance during teaching and learning, their conceptualization, and their considerations in their practices. The research used a grounded theory approach to recognize evaluation as a dialogical and intersubjective space. The methodology consisted of an open survey and a semi-structured interview with faculty professors from a university in northern Mexico. The findings highlighted the importance of educational institutions, emphasizing that faculties prioritize evaluating quality based on relevance, alignment with learning objectives, continuity throughout the process, and feedback. These aspects align with recent approaches that consider evaluation as a process that promotes learning, as evidenced by the high saturation rate in the theoretical sampling. Furthermore, the study revealed that the institution’s educational model, curricular design, and evaluation policies significantly influence the faculty members’ perspective. As a result, educational institutions must consider these factors when formulating an evaluation model, thereby making the research directly applicable to the work of educational policymakers and university professors.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"10 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luisa Estriga, João Freitas, Guilherme Vieira, Amândio Graça, Paula Batista
This paper addresses the challenge of assessing relatedness and functional interdependence through connecting passes within invasion games, which may offer valuable pedagogical insights into gameplay for accessibility and inclusiveness. Hence, the purpose of this paper is twofold. Firstly, it presents preliminary work on the methodology for computing open passing lanes and derived metrics, integrating spatiotemporal data analysis with event data. Secondly, using a within-subject design, it investigates how modified handball games influence game play opportunities. Data were collected during handball matches in a pre-teens Physical Education (PE) class with mixed-skill-level teams. Game actions (e.g., passes, receptions, and shots) were manually recorded through systematic observation of video footage, while players’ positional data were captured with ultra-wideband technology. Findings provide evidence that employing a numerical advantage (one player up) enhances overall opportunities for individual attacking actions (i.e., more passing, catching actions, and goal-scoring opportunities) and relational actions (i.e., more open passing lanes) compared to equal numbers. Conversely, equal numbers with individual marking appeared more challenging, as fewer secure passing lanes were observed, and the ball possessor spent more time with the ball before releasing it. The developed approach holds promise for studying designed games to enhance inclusion and learning opportunities for all.
{"title":"Modified Handball in Physical Education: Investigating Opportunities for Inclusion and Relatedness","authors":"Luisa Estriga, João Freitas, Guilherme Vieira, Amândio Graça, Paula Batista","doi":"10.3390/educsci14090985","DOIUrl":"https://doi.org/10.3390/educsci14090985","url":null,"abstract":"This paper addresses the challenge of assessing relatedness and functional interdependence through connecting passes within invasion games, which may offer valuable pedagogical insights into gameplay for accessibility and inclusiveness. Hence, the purpose of this paper is twofold. Firstly, it presents preliminary work on the methodology for computing open passing lanes and derived metrics, integrating spatiotemporal data analysis with event data. Secondly, using a within-subject design, it investigates how modified handball games influence game play opportunities. Data were collected during handball matches in a pre-teens Physical Education (PE) class with mixed-skill-level teams. Game actions (e.g., passes, receptions, and shots) were manually recorded through systematic observation of video footage, while players’ positional data were captured with ultra-wideband technology. Findings provide evidence that employing a numerical advantage (one player up) enhances overall opportunities for individual attacking actions (i.e., more passing, catching actions, and goal-scoring opportunities) and relational actions (i.e., more open passing lanes) compared to equal numbers. Conversely, equal numbers with individual marking appeared more challenging, as fewer secure passing lanes were observed, and the ball possessor spent more time with the ball before releasing it. The developed approach holds promise for studying designed games to enhance inclusion and learning opportunities for all.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"7 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Veronica L. Fematt, Mayra Puente, Katherine Arias Garcia, Rebeca Mireles-Rios
As the Latinx student population grows in the United States, more public research-intensive institutions are becoming Hispanic-Serving Research Institutions (HSRIs). This exploratory qualitative study examines the experiences of Latinx students at an HSRI, particularly in STEM fields where they face underrepresentation and are pushed out. The objectives for this study were two-fold: (1) investigate the institutional factors contributing to Latinx student pushout in STEM at an HSRI and (2) develop recommendations for enhancing Latinx student retention in STEM at HSRIs. Through an investigation at a public four-year HSRI in California, three key themes emerged regarding institutional factors contributing to STEM pushout: (1) a disconnect in theory-based STEM courses, (2) unsupportive and busy research-focused environments, and (3) the psychological toll of a stripped STEM identity. The authors offer recommendations for targeted interventions to genuinely “serve” Latinx students in STEM fields at HSRIs.
{"title":"“You Didn’t Go by Choice!”: Exposing Institutional Barriers Leading to Latinx STEM Pushout at a Hispanic-Serving Research Institution","authors":"Veronica L. Fematt, Mayra Puente, Katherine Arias Garcia, Rebeca Mireles-Rios","doi":"10.3390/educsci14090979","DOIUrl":"https://doi.org/10.3390/educsci14090979","url":null,"abstract":"As the Latinx student population grows in the United States, more public research-intensive institutions are becoming Hispanic-Serving Research Institutions (HSRIs). This exploratory qualitative study examines the experiences of Latinx students at an HSRI, particularly in STEM fields where they face underrepresentation and are pushed out. The objectives for this study were two-fold: (1) investigate the institutional factors contributing to Latinx student pushout in STEM at an HSRI and (2) develop recommendations for enhancing Latinx student retention in STEM at HSRIs. Through an investigation at a public four-year HSRI in California, three key themes emerged regarding institutional factors contributing to STEM pushout: (1) a disconnect in theory-based STEM courses, (2) unsupportive and busy research-focused environments, and (3) the psychological toll of a stripped STEM identity. The authors offer recommendations for targeted interventions to genuinely “serve” Latinx students in STEM fields at HSRIs.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"31 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This quasi-experimental study investigated the impact of computational learning activities on high school students’ computational thinking (CT) and computational modeling (CM) skills. High school students (n = 90) aged 16 to 19 engaged in activities using computer models versus textbook-based models in mathematics and social science. The results indicated that students using computer models showed significant improvements in CT and CM skills compared to their peers in conventional learning settings. However, a potential ceiling effect in the CT assessments suggests that the test may not fully capture the extent of skill development. These findings highlight the importance of integrating computational learning activities in education, as they enhance students’ abilities to apply these skills beyond the classroom.
{"title":"Computational Thinking and Modeling: A Quasi-Experimental Study of Learning Transfer","authors":"Line Have Musaeus, Peter Musaeus","doi":"10.3390/educsci14090980","DOIUrl":"https://doi.org/10.3390/educsci14090980","url":null,"abstract":"This quasi-experimental study investigated the impact of computational learning activities on high school students’ computational thinking (CT) and computational modeling (CM) skills. High school students (n = 90) aged 16 to 19 engaged in activities using computer models versus textbook-based models in mathematics and social science. The results indicated that students using computer models showed significant improvements in CT and CM skills compared to their peers in conventional learning settings. However, a potential ceiling effect in the CT assessments suggests that the test may not fully capture the extent of skill development. These findings highlight the importance of integrating computational learning activities in education, as they enhance students’ abilities to apply these skills beyond the classroom.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"71 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research on the effect of student work on academic achievement has produced inconsistent results, and Hungarian domestic research on the subject is scarce. Our research aims to contribute to the discussion. We hypothesize that student work has a beneficial effect on students’ academic achievement. The target group is the full-time, working students at the regional Hungarian university (n = 538). By clustering students based on three variables (motivation, alignment of work with studies, and working hours), we separated three distinct student groups: disadvantaged/income-oriented, ambitious, and utilitarian/leisure-oriented. Disadvantaged/income-oriented students work for financial reasons and work a large number of hours. Ambitious students work fewer hours, and they work to fulfil their professional aspirations. The utilitarian/leisure-oriented cluster is the only group whose members work because it is a useful way of spending leisure time as well as an opportunity to obtain money for other free-time activities. With the help of the achievement index, we detected further differences between the student clusters. Students in the disadvantaged/income-oriented cluster do not have high academic scores and do not take part in extracurricular activities. They are more likely to interrupt their studies, mainly for financial reasons and because of work. The achievement was not affected by students’ social status indicators such as parents’ educational attainment or labor market position; it is contact with faculty and performing work related to studies that have the most explanatory power.
{"title":"Learning/Earning: Characteristics of Student Work and Its Impact on Academic Careers at a Regional Hungarian University","authors":"Zsófia Kocsis, Gabriella Pusztai","doi":"10.3390/educsci14090981","DOIUrl":"https://doi.org/10.3390/educsci14090981","url":null,"abstract":"Research on the effect of student work on academic achievement has produced inconsistent results, and Hungarian domestic research on the subject is scarce. Our research aims to contribute to the discussion. We hypothesize that student work has a beneficial effect on students’ academic achievement. The target group is the full-time, working students at the regional Hungarian university (n = 538). By clustering students based on three variables (motivation, alignment of work with studies, and working hours), we separated three distinct student groups: disadvantaged/income-oriented, ambitious, and utilitarian/leisure-oriented. Disadvantaged/income-oriented students work for financial reasons and work a large number of hours. Ambitious students work fewer hours, and they work to fulfil their professional aspirations. The utilitarian/leisure-oriented cluster is the only group whose members work because it is a useful way of spending leisure time as well as an opportunity to obtain money for other free-time activities. With the help of the achievement index, we detected further differences between the student clusters. Students in the disadvantaged/income-oriented cluster do not have high academic scores and do not take part in extracurricular activities. They are more likely to interrupt their studies, mainly for financial reasons and because of work. The achievement was not affected by students’ social status indicators such as parents’ educational attainment or labor market position; it is contact with faculty and performing work related to studies that have the most explanatory power.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"10 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the mediating role of intellectual curiosity (IC) in the relationship between teacher–student relationship quality (TSR) and science achievement among Emirati early adolescents. The objectives were to assess TSR’s predictive power on science achievement, evaluate IC’s impact on science achievement, examine the combined effect of TSR and IC, and investigate IC’s mediating role. Data from 17,475 valid cases in the PISA dataset were analyzed using Jeremy Hayes’ PROCESS macro, multiple regression models, and bootstrapping with 5000 resamples. The results indicated that TSR significantly and directly affects IC, which in turn positively influences science achievement. TSR’s direct effects on science achievement varied across cases, but IC consistently showed strong positive effects on science achievement, underscoring its critical role as a predictor of academic success. IC was found to significantly mediate the relationship between TSR and student performance. The findings suggest that enhancing both TSR and IC is essential for student success in science. The study’s implications for educational practices and policies include developing teacher training programs focused on building strong relationships with students and fostering intellectual curiosity through questioning and problem-solving. Specifically, educators should focus on skills and strategies for interacting with students, showing empathy, and forming strong relationships. Implementing ongoing practices that emphasize the intellectual aspects of learning can help students build curiosity, thereby improving their academic performance. The study provides valuable insights into the interactions between TSR and IC and their impact on students’ academic outcomes.
本研究调查了求知欲（IC）在阿联酋青少年师生关系质量（TSR）和科学成就之间的中介作用。研究目的是评估 TSR 对科学成绩的预测能力，评估 IC 对科学成绩的影响，考察 TSR 和 IC 的综合效应，以及 IC 的中介作用。我们使用杰里米-海耶斯的 PROCESS 宏、多元回归模型和 5000 个重样的引导法对 PISA 数据集中 17475 个有效案例的数据进行了分析。结果表明，TSR 对 IC 有明显的直接影响，而 IC 又对科学成绩有积极影响。TSR 对科学成绩的直接影响在不同情况下各不相同，但 IC 始终对科学成绩表现出强烈的正向影响，突出了其作为学业成功预测因子的关键作用。研究发现，集成电路对 TSR 和学生成绩之间的关系起着重要的中介作用。研究结果表明，提高 TSR 和 IC 对学生在科学领域取得成功至关重要。该研究对教育实践和政策的启示包括：制定教师培训计划，重点是与学生建立牢固的关系，并通过提问和解决问题培养学生的求知欲。具体来说，教育工作者应重点关注与学生互动、表达同理心和建立牢固关系的技能和策略。持续开展强调学习智力方面的实践活动可以帮助学生培养好奇心，从而提高他们的学习成绩。本研究就 TSR 和 IC 之间的相互作用及其对学生学业成绩的影响提供了宝贵的见解。
{"title":"Intellectual Curiosity as a Mediator between Teacher–Student Relationship Quality and Emirati Science Achievement in PISA 2022","authors":"Nagla Ali, Othman Abu Khurma, Adeeb Jarrah","doi":"10.3390/educsci14090977","DOIUrl":"https://doi.org/10.3390/educsci14090977","url":null,"abstract":"This study investigates the mediating role of intellectual curiosity (IC) in the relationship between teacher–student relationship quality (TSR) and science achievement among Emirati early adolescents. The objectives were to assess TSR’s predictive power on science achievement, evaluate IC’s impact on science achievement, examine the combined effect of TSR and IC, and investigate IC’s mediating role. Data from 17,475 valid cases in the PISA dataset were analyzed using Jeremy Hayes’ PROCESS macro, multiple regression models, and bootstrapping with 5000 resamples. The results indicated that TSR significantly and directly affects IC, which in turn positively influences science achievement. TSR’s direct effects on science achievement varied across cases, but IC consistently showed strong positive effects on science achievement, underscoring its critical role as a predictor of academic success. IC was found to significantly mediate the relationship between TSR and student performance. The findings suggest that enhancing both TSR and IC is essential for student success in science. The study’s implications for educational practices and policies include developing teacher training programs focused on building strong relationships with students and fostering intellectual curiosity through questioning and problem-solving. Specifically, educators should focus on skills and strategies for interacting with students, showing empathy, and forming strong relationships. Implementing ongoing practices that emphasize the intellectual aspects of learning can help students build curiosity, thereby improving their academic performance. The study provides valuable insights into the interactions between TSR and IC and their impact on students’ academic outcomes.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"254 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changzhao Wang, Stephen J. Aguilar, Jennifer S. Bankard, Eric Bui, Benjamin Nye
To support the integration of AI in education, this empirical study investigated what lessons college students learned from using Generative AI for writing. We recruited 47 students in the United States from a university writing course. Students completed an assignment in which they used Generative AI tools (e.g., ChatGPT) to draft an application letter or personal statement. Data were collected using a survey of five open-ended questions about their writing process, what worked, what did not work, how to better write with AI, and general lessons learned. We applied thematic analysis and sentiment analysis methods to analyze students’ responses. Results show that (1) students went through multiple rounds of prompting; (2) students identified strengths of AI, such as connection to topic, template generation, and sentence quality; (3) the weaknesses of AI included general language, robotic tone and lacking emotion, lacking personal voice, and lacking critical thinking; (4) students wished to improve AI-generated writing by adding personal stories, connections to posting, feelings and thoughts, and deleting repetitive language; and (5) their overall attitudes toward AI tool were positive. We believe our findings can help relieve some concerns about cheating with AI. We also suggested strategies to regulate the use of AI.
{"title":"Writing with AI: What College Students Learned from Utilizing ChatGPT for a Writing Assignment","authors":"Changzhao Wang, Stephen J. Aguilar, Jennifer S. Bankard, Eric Bui, Benjamin Nye","doi":"10.3390/educsci14090976","DOIUrl":"https://doi.org/10.3390/educsci14090976","url":null,"abstract":"To support the integration of AI in education, this empirical study investigated what lessons college students learned from using Generative AI for writing. We recruited 47 students in the United States from a university writing course. Students completed an assignment in which they used Generative AI tools (e.g., ChatGPT) to draft an application letter or personal statement. Data were collected using a survey of five open-ended questions about their writing process, what worked, what did not work, how to better write with AI, and general lessons learned. We applied thematic analysis and sentiment analysis methods to analyze students’ responses. Results show that (1) students went through multiple rounds of prompting; (2) students identified strengths of AI, such as connection to topic, template generation, and sentence quality; (3) the weaknesses of AI included general language, robotic tone and lacking emotion, lacking personal voice, and lacking critical thinking; (4) students wished to improve AI-generated writing by adding personal stories, connections to posting, feelings and thoughts, and deleting repetitive language; and (5) their overall attitudes toward AI tool were positive. We believe our findings can help relieve some concerns about cheating with AI. We also suggested strategies to regulate the use of AI.","PeriodicalId":11472,"journal":{"name":"Education Sciences","volume":"11 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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