Search results

This study aims to examine the relationship between teacher ideals and attitudes toward peers with autism spectrum disorder (ASD) among teacher college students, and the effect of knowledge of ASD identification on this relationship.

This study used a quantitative approach and included 341 teacher college students. A vignette was used to assess social and professional attitudes toward peers with ASD. The participants were divided into identification and nonidentification groups based on how accurately they identified the peer depicted in the vignette as having ASD. A teacher ideals questionnaire consisting of two subscales indicating different ideal teachers − a dedicated/engaging teacher (e.g. a teacher who can work with enthusiasm) and a skillful teacher (e.g. a teacher who is knowledgeable) − was developed and administered to evaluate the participants’ teacher ideals and self-perceptions of a teacher.

In the nonidentification group, ideals of a skillful teacher were significantly correlated with social attitudes toward peers with ASD. The identification group exhibited no significant correlations between ideals and social attitudes. Furthermore, the self-perceptions of being a dedicated/engaging teacher was significantly correlated with professional attitudes toward peers with ASD in the identification group.

To the best of the authors’ knowledge, this study is the first to examine the relationship between teacher ideals and attitudes toward peers with ASD. Teacher ideals were related to negative social attitudes toward peers with ASD. While knowledge of ASD identification weakens this relationship, it may drive the relationship between self-perceptions of a teacher and professional attitudes toward peers with ASD. Therefore, ASD education is important for reducing the stigma toward ASD in teacher education.

Social media have been associated with social benefits and enhanced psychological well-being among non-disabled individuals; the purpose of this study is to examine whether social media may have similar benefits for young neurodivergent adults with autism, anxiety, or attention-deficit and hyperactivity disorder who may experience communication differences. To the best of the authors’ knowledge, this first-of-its kind study explores the nature of social media use and related psychological well-being among neurodivergent college undergraduates.

This qualitative study is part of a larger effort. The authors surveyed undergraduates with and without disabilities at U.S. higher education institutions on their social media use and psychological well-being. A total of 131 students responded, including 24 neurodivergent individuals, the results of which are reported elsewhere. Participants were 18–25 years old, of varied genders and racial/ethnic backgrounds; for neurodivergent adults, questions focused on social challenges. From the survey, a sample of five neurodivergent individuals was drawn for this small-scale, exploratory interview study.

This paper reports descriptive statistics from survey results to contextualize analysis of students’ social media use (e.g. purposes, practices, benefits and harms). Students used mainly Instagram, TikTok and YouTube to promote well-being primarily through engaging positive relationships and positive emotions. Students reported several benefits of using social media to develop their disability identity and few harms.

Understanding the impact of social media use on undergraduates with disabilities could help us not only improve services as teachers, counselors and other helping professionals who support young adults to leverage their everyday technologies-in-use but also address digital equity issues.

Given that the current sustainability assessment in higher education institutions primarily relies on qualitative methods with relatively limited quantitative tools, the purpose of this study is to design a tool that could be used to comprehensively assess the overall state of higher education institutions’ sustainability.

The authors based the “Model to Assess the Sustainability of Higher Education Institutions” on the Triple Bottom Line (TBL) framework of economic, environmental and social factors, and established its primary dimensions as educational level, research capacity, community outreach, campus operations, campus experience and assessment reports. They designed the College Organisational Sustainability Scale (CO-SS) based on this research model, drawing their inspiration from the qualitative research tool, the Sustainability Assessment Questionnaire, and taking the following validation steps: expert review (n = 10), pilot testing (n = 150) and formal experiments (n = 1108). These steps were taken to optimise the scale items, test the model’s validity and assess its reliability.

After undergoing rigorous scientific validation, CO-SS was unequivocally confirmed as an effective and reliable tool, demonstrating its accurate reflection of the level of sustainability in higher education institutions.

The authors took an industry-specific approach by relying on the TBL and the Sustainability Assessment Questionnaire to construct and validate the CO-SS. Furthermore, the CO-SS has the potential to evolve into a self-assessment tool for higher education institutions, and a reliable foundation for data-driven decision-making in the realm of organisational sustainability at universities.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

Research shows that family is influential to African Americans in college choice (Chapman et al., 2018; Chapman et al., 2020; Freeman, 2005; Hines et al., 2019; Lowry, 2017; Williams, 2018). However, it often overlooks unique, African-rooted characteristics of African American families and culture. This study aimed to explore whether and how these characteristics shape college choice for these students.

Data were collected through semi-structured interviews with six, first-year African American students at an urban university. The data were analyzed using theoretical thematic analysis.

The major themes showed the influence of family, community and spirituality in shaping participants’ college choice decisions and perception of higher education.

In addition to identifying specific family members who were influential to African Americans in college choice, this work highlighted the role of communities as a whole in shaping these students’ decisions and creating supportive environments. It also showed the importance of these students’ relationship with God through the college choice process. The work can guide researchers and educators in considering African American families and culture as strengths in helping these students through college choice.

School effectiveness has attracted some currency in educational research globally since the 1960s though such studies mostly point to the efforts of principal leadership as the basis for promoting effective schools. However, in the case of Ghana, there is a lack of research conducted in the area, and due to that, this study sought to explore internal public perspectives of what constitutes school effectiveness in the Colleges of Education in the Upper East Region of Ghana.

This study employed the convergent parallel mixed-method design otherwise called concurrent mixed-method design. The population for the study comprised second and third-year students, tutors and leadership of the colleges. In total, 308 respondents constituted the sample size. The breakdown is 257 students in all, 41 tutors and 10 leaders of the colleges. Two instruments, namely, an in-depth interview guide and a questionnaire were used to elicit responses to address the object of this study.

The study revealed that the characteristics of effective schools include the high academic performance of students and a good show of disciplined behavior by both students and staff in the colleges among others.

To the best of our knowledge, during the search for studies conducted on school effectiveness, there is no scientific study done in Ghana highlighting the attributes of effective educational institutions. Most of the studies conducted in the area of educational studies only focused on principal leadership, educational access, participation and equity at the level of pre-tertiary institutions.

This study aims at assessing item fairness in students' evaluation of teaching based on students' academic college using measurement invariance analysis (MI).

The sample of this study consists of 17,270 undergraduate students from 12 different academic colleges. SET survey consists of 20 Likert-type items distributed to four factors: planning, instruction, management and assessment was used to collect the data. The Lavaan R package with confirmatory factor analysis (CFA) was used to evaluate measurement invariance (MI). Four models of CFA were investigated and assessed: the configural model, the metric model, the scalar model and the residual invariance model. ANOVA was used to test the differences in SET according to academic colleges.

MI analysis showed that the four levels of MI models are supported. ANOVA test showed that means of SET total scores are statistically different according to students' academic colleges. College of “Education” has the highest SET mean (88.64 out of 100), and all the differences between the College of Education’s SET mean and other colleges' SET means are statistically significant.

The study recommends that higher education institutions test the MI of SET according to academic colleges and then use colleges with the highest SET at the university level as internal benchmarking to develop and enhance their teaching practices.

This study is probably the only study that tested MI according to students' colleges before testing the differences between colleges in SET. If MI is not supported, then the comparisons between academic colleges are not applicable.

The purpose of this article is to debut a novel initiative that could potentially optimize resources that are currently constrained but, if unleashed, could help ameliorate the science, technology, engineering and mathematics teacher shortage. The initiative involves the reconceptualization of the National Network for Educational Renewal (NNER) tripartite model, which evolved from the work of Goodlad (1994a) and promotes cooperation and partnerships between the three important players responsible for preparing succeeding generations of competent teachers: PK-12 schools, university colleges of education and university colleges of arts and sciences (Roselle, Hands, Marino, Kilgallen, & Howard, 2021; Goodlad, 1994a).

The approach used in writing the article was narrative, offering a brief review of the various challenges that have had an impact on the national teacher shortage, particularly in the field of mathematics.

The study suggests that a reconceptualized NNER tripartite model can be implemented to assuage the devastating effects of the coronavirus disease 2019 pandemic on learning, offer support to an overworked teacher workforce and provide a possible math teacher recruitment pipeline by forming a life-giving partnership between a college of education, a college of arts and sciences, a local elementary school and undergraduate math club members.

This is an original application of the NNER tripartite model, particularly with math teacher recruitment in mind, and it is hoped that the model will be considered transferable to a variety of school-university contexts. However, additional study is required to explore the validity and replicability of this model.

This paper explores how sustainability consciousness varies among undergraduate students at a higher education institution in the Republic of Korea. Based on the analyses of survey data, this paper aims to understand the present state and future prospect of education for sustainable development, specifically within higher education in the Republic of Korea.

This study involves analyzing 254 complete responses from undergraduate students at Seoul National University using confirmatory factor analysis. Subsequently, it explores how five variables (gender, grade year, type of college, prior exposure to sustainable development and prior exposure to education for sustainable development) influence the level of sustainability consciousness among these undergraduates.

The goodness-of-fit indices of the adapted sustainability consciousness questionnaire indicate a good fit. The analysis reveals a notable gender-based disparity in sustainability consciousness, with female students exhibiting higher levels than their male counterparts. Additionally, academic progression also affects sustainability consciousness; students in their first and second years show greater awareness compared to those in their third year. Furthermore, the academic discipline of respondents plays a role, as evidenced by students from the College of Education displaying higher sustainability consciousness than those from other colleges.

This research distinguishes itself from prior studies in two key dimensions. First, it offers an analysis of the sustainability consciousness among South Korean undergraduate students, with a particular focus on those who have experienced the COVID-19 pandemic. Second, this study endeavors to establish the validity of sustainability consciousness as a psychological construct, expanding the understanding of its implications and relevance in the context of higher education.

The maturity of artificial intelligence technology and the emergence of AI-generated content (AIGC) tools have endowed college students with a human-AIGC tools collaboration learning mode. However, there is still a great controversy about its impact on learning effect. This paper is aimed at investigating the impact of the human-AIGC tools collaboration on the learning effect of college students.

In this paper, a hypothesized model was constructed to investigate the effects of dependence, usage purpose, trust level, frequency, and proficiency of using AIGC tools on the learning effect, respectively. This paper distributed questionnaires through random sampling. Then, the improved Analytic Hierarchy Process (AHP) was used to assign weights and normalize data. Lastly, one-way ANOVA and multiple linear regression analyses were used to measure and analyze variables, revealing the mechanism of influence.

The usage purpose, frequency, and proficiency of using AIGC tools have a significant positive effect on learning. Being clear about the usage purpose of AIGC tools and matching the specific study tasks will enhance the learning effect. College students should organically integrate AIGC tools into each learning process, which is conducive to building a learning flow applicable to oneself, improving efficiency, and then enhancing learning effects. The trust level in AIGC tools is significant, but positively and weakly correlated, indicating that college students need to screen the generated content based on their knowledge system framework and view it dialectically. The dependence on AIGC tools has a negative and significant effect on learning effect. College students are supposed to systematically combine self-reflection and the use of AIGC tools to avoid overdependence on them.

Based on the findings, the learning suggestions for college students in human-machine collaboration in the AIGC era are proposed to provide ideas for the future information-based education system. For further research, scholars can expand on different groups, professions, and fields of study.

Previous studies have focused more on the impact of AIGC on the education system. This paper analyzed the impact of the various factors of using AIGC tools in the learning process on the learning effect from the perspective of college students.