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Science misinformation represents a significant challenge for the scientific community. Hispanic communities are particularly vulnerable due to language barriers and the lack of accessible information in Spanish. We identified that a key step toward enhancing the accessibility of information for non-native English-speaking communities involves imparting science communication education and training to Hispanic youth. Our goal was to provide them with the skills to become science ambassadors who can effectively engage with their communities and bridge communication gaps. To address this, we developed the first science communication training program in Spanish for Hispanic high school and undergraduate students in Puerto Rico. The program called "+Ciencia" aims to provide training and education on science communication for Hispanic minorities through experiential and collaborative learning. In the short term, our multifaceted approach works to counter misinformation and promote science literacy within the broader community. Over the long term, our grassroots efforts with students will evolve into a generation of professionals equipped with strong engagement skills and comprehensive training in science communication with a specific focus on Hispanic audiences. Herein, we describe the components of this educational program and provide open access to educational materials and articles developed by three cohorts.

The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT instruction in their Freshman English course, students completed a questionnaire to assess their perceptions of and attitudes towards technology. This paper reports on the findings that examine the structural relationships using the Technology Acceptance Model (TAM). The findings indicate that students, generally, were in favor of using ASR-based pronunciation training, and although no statistically significant gender difference was found, female students appeared to view its use more favorably than were their male counterparts. The perceived effectiveness of the system, and the attitudes of students towards using it, were shown to be significantly correlated, which encourages the ongoing use of ASR-based CAPT. Based on these responses, it was established that the ASR function enhanced students' awareness of their pronunciation errors. Furthermore, they willingly engaged in individual, repetitive pronunciation exercises, allowing them to build confidence in speaking practices without fearing embarrassment in front of their peers. Recommendations were provided for EFL educators interested in implementing CAPT in EFL settings.

In this practice-based pedagogical paper, we, the university faculty of Education, Food and Nutrition, Sociology, and History in the U.S., describe how we started a Reflective Practice Teaching Circle at our institution for interdisciplinary dialogue about the effective use of social media (SM) for teaching and learning. Our discussions led to the design of the Social Media Entry Model that educators can use for decision-making. We begin this paper with a brief synthesis of scholarly literature describing students' SM use and how higher education faculty use SM to support 21st-century skills development. Next, we describe the institutional, individual, and pedagogical barriers that prevent faculty from embracing SM as a teaching and learning tool. Based on our shared vision and praxis, we present the Social Media Entry Model and describe how educators can use it when deciding how to integrate SM into the formal or informal curriculum. Through our narratives, we illustrate how we use a variety of SM platforms and different entry points in the model to enhance students' 21st-century skills. We also discuss the legal and ethical issues that educators must consider to ensure that university students use SM in a socially responsible manner.

In Taiwan, the education system places a strong emphasis on higher education. Students who perform well in the National High School Entrance Examination are given priority admission to public high schools, while those with lower scores tend to enroll in vocational schools. It's worth noting that students with low scores in this examination often struggle with reading and natural literacy, typically scoring below level 2 in PISA assessments. This study examined the impact of implementing the mobile platform OK4R reading strategy on students' comprehension of popular science reading and their logical thinking abilities. The research was conducted with two classes of first-year vocational school students. The findings indicate that when students used the OK4R mobile platform for popular science reading, it had a positive effect on their popular science reading comprehension and their logical thinking skills. Notably, female students outperformed their male counterparts. The study also revealed that several factors, including gender, basic abilities, and other variables, influenced the effectiveness of the OK4R mobile platform for vocational students. Those with lower science scores appeared to benefit the most from this approach.

There is a consensus in language learning and teaching that the concept of authenticity in the classroom is beneficial to the learning process. This phenomenology case study explored 31 EFL high school students' perceptions about the authenticity of using English as the language of instruction during synchronic lessons with U.S. teachers. Data was collected from two synchronous interactive lessons and students' open-ended reflections. A thematic content analysis was adopted to examine themes on perception, motivation, and participation. The findings revealed students' insights into their learning experiences through synchronous interactions with teachers, highlighting how authentic learning gave them opportunities to practice communication strategies and learn vocabulary incidentally. This study provides pedagogical implications for integrating authenticity in foreign language classrooms.

Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for combining digital data and official statistics by using the official statistics to model the spatial and temporal dependence structure of the biases of digital data. We use simulations to demonstrate the validity of the model, then empirically illustrate our approach by combining geo-located Twitter data with data from the American Community Survey (ACS) to estimate state-level out-migration probabilities in the United States. We show that our model, which combines unbiased and biased data, produces predictions that are more accurate than predictions based solely on unbiased data. Our approach demonstrates how digital data can be used to complement, rather than replace, official statistics.

Despite national curricula and instructional reforms calling for collaborative problem-solving skills (CPS), however, there is an absence of a theory-laden model showing how to effectively construct CPS for science learning. We therefore developed and validated a simulation-based CPS model that exploits its constructs, sequences, and causal relationships, and evaluating its effectiveness on students' problem-solving. Over the span of a two-week physics science course, 57 ninth-grade students were recruited from two intact middle school classes to engage in this online simulation-based collaborative problem-solving (CPS) program. This program consisted of nine electrochemistry problem-solving lessons spread across four class sessions, each lasting 45 min. Results indicated that the simulation-based CPS model was validated and proven to contribute to effective problem-solving by linking PS solution proposing, peer communication, implementing PS solutions with simulation, and providing evidence-based explanations. The simulation-based CPS model successfully improved the performance of both high- and low-achieving students. With the support and presence of high-achievers, low-achievers' collaboration attitude was boosted, which lead them to achieve similar learning success.

The integration of education and robotics has emerged as a crucial development in the technological landscape. This study focuses on the use of a robot teaching assistant to enhance the learning efficiency of 8th-grade students in hands-on STEM activities centered around the theme of "Smart City." It explores the impact of educational robots on students' learning outcomes and their development of hands-on skills through diverse learning methods. Conducted over 12 weeks with 103 participants, the study employed a quasi-experimental design. Students were split into two groups: The Experimental Group (EG), using the 6E model with robot teaching assistants, and the Control Group (CG), using only the 6E model. The analysis of covariance revealed that the EG exhibited superior performance in STEM knowledge, motivation, and hands-on skills compared to the CG. Further analysis indicated that learning motivation significantly influenced hands-on performance in the EG, particularly in high-scoring subgroups. The findings suggest that combining the 6E model with educational robots effectively enhances STEM learning and student engagement. Educational robots as teaching assistants not only aid in knowledge acquisition but also significantly boost students' motivation and hands-on skill development. This implies a promising direction for integrating advanced technology in educational practices to foster more effective learning environments.

In isolated English word reading, readers have the optimal performance when their initial eye fixation is directed to the area between the beginning and word center, that is, the optimal viewing position (OVP). Thus, how well readers voluntarily direct eye gaze to this OVP during isolated word reading may be associated with reading performance. Using Eye Movement analysis with Hidden Markov Models, we discovered two representative eye movement patterns during lexical decisions through clustering, which focused at the OVP and the word center, respectively. Higher eye movement similarity to the OVP-focusing pattern predicted faster lexical decision time in addition to cognitive abilities and lexical knowledge. However, the OVP-focusing pattern was associated with longer isolated single letter naming time, suggesting conflicting visual abilities required for identifying isolated letters and multi-letter words. In contrast, in both word and pseudoword naming, although clustering did not reveal an OVP-focused pattern, higher consistency of the first fixation as measured in entropy predicted faster naming time in addition to cognitive abilities and lexical knowledge. Thus, developing a consistent eye movement pattern focusing on the OVP is essential for word orthographic processing and reading fluency. This finding has important implications for interventions for reading difficulties.

As the world continues to ponder issues of equity and diversity, U.S. public schools face an expanding demographic divide between teachers and students. While diverse groups of public school students show an increase in population, the teaching workforce in the U.S. remains overwhelmingly White. The purpose of this systematic review is to examine how preservice teachers (PST) are being prepared to be culturally responsive. A total of 26 studies published between 2006 and 2020 were reviewed. The results indicate that PSTs' learning experiences are varied and tend to be stand-alone approaches focused on changing the attitudes and beliefs of PSTs. Findings also bring to light the vagueness of terminology used in the research to define cultural groups of students, the conspicuous absence of studies related to LGBTQ+ populations, and the lack of study replications. Implications for future research are discussed.

The COVID-19 pandemic disrupted education in a multitude of ways. During this time, school districts struggled to provide students with disabilities access to services and supports under the Individuals with Disabilities Education Act (IDEA). School personnel were required to continue holding meetings to review students' Individualized Education Programs (IEPs) yet did not always have the resources and skills to do so. The increased digital divide between culturally and linguistically diverse (CLD) families and their White counterparts posed additional challenges for them, such as access to technology and lack of experience with various technology tools. Although this expedited the need for culturally responsive virtual IEP meetings, this option should continue to be provided outside of pandemic contexts. Therefore, it is critical for teachers to facilitate virtual IEP meetings creating spaces where CLD families can participate as equal partners. Utilizing the tenets of Culturally Relevant Pedagogy (CRP) can help this endeavor. This article explains several recommendations for teachers and school personnel to create identity-honoring, culturally responsive IEP meetings in virtual spaces.

Hydrophilic interaction chromatography-mass spectrometry (HILIC-MS) offers a flexible and efficient alternative to ionpairing reversed-phase liquid chromatography (IP-RPLC) for oligonucleotide analysis, with column selectivity and mobile phase pH being key factors in optimizing retention and detection., I ON-PAIRING LIQUID CHROMATOGRAPHY (IP-RPLC) coupled to mass spectrometry (MS) represents the most common analytical approach for oligonucleotide analysis (1-3). Alternative separation methods are desired as alkylammonium ion-pair reagents force [...]

This paper describes a content analysis used to examine educational doctoral degrees (EdD) dissertations in a U.S. university. The purpose of the study was to get a better understanding of the validation techniques utilized in dissertations published by EdD students. Forty-nine dissertations were selected and examined for research methodologies, research design, and elements of vigorous validation techniques. The most frequently found methodology was quantitative (n = 30; 61.22%) followed by qualitative (n = 13; 26.53%). Among the quantitative studies, the most frequently used design was survey (n = 18; 60%). The most frequently used design in qualitative studies was case study (n = 6; 12.14%). Validation techniques for quantitative designs were mostly content validity (n = 18; 50.00%). Trustworthiness techniques for qualitative designs were mostly member checking (n = 8; 19.51%). There were no legitimation techniques identified for mixed methods designs. Implications for this study in higher education include EdD doctoral students and committees use at least three techniques for validation purposes.