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Ongoing seismic events in global society have increased demands on organizations to change their focus on profit maximization alone to becoming a social enterprise that follows humanistic management (serving the common good) principles. Coincidentally, business schools are under pressure to teach humanistic management principles in their curriculum to enable the future work force to become agents of world benefit. Data analytics offers a means to introduce these principles to undergraduate business students. The analytics module described in this paper introduces undergraduates in an introductory Information Systems course to humanistic management. It discusses the use of humanistic management analytics (HMA), and describes an assignment to design, develop and use a HMA dashboard. Through video, lecture, case study and assignments, students learn the value of incorporating humanistic management principles to analytics and human resource functions that embody concepts of data analytics for social good.

Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we have developed two short cases that can be completed in or out of the classroom. These cases allow students to use generative AI for an interesting and useful purpose and develop prompts to deliver the output. Students can begin to learn what generative AI can do for them, and how it can shape their future careers. We tested the perceived effectiveness of the project on students using a pre/post survey. The results are analyzed using a paired t-test and demonstrate that students increased their understanding of generative AI and prompt engineering.

With businesses increasingly prioritizing data-driven decision making, the demand for business analysts is high and expected to grow. In response, many universities and institutions have developed courses and programs related to business analytics to prepare more graduates for careers in this field. Business analytics programs and educators consistently strive to achieve a high level of student learning success, ensuring competence in working in the business analytics field after graduation. In this study, we aim to examine key factors influencing student learning in business analytics, focusing on performance expectancy and satisfaction. We examined specific factors, including personal interest, career relevance expectancy, learning effort, and perceived course structure effectiveness, from perspectives related to both students and instructors. A research model was developed and empirically tested. The results showed that all factors significantly influenced both perceived academic performance and learning satisfaction. Additionally, personal interest and career relevance expectancy could significantly impact learning effort.

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.

Professional development of scientists is enhanced by training students in responsible conduct of research earlier in their careers. One aspect of responsible conduct of research is authorship ethics, which concerns granting of credit to those who make intellectual contributions to the research. The activity discussed in this article emphasizes how authorship ethics can be integrated with Course-based Undergraduate Research Experience (CURE) and includes an adaption that could also be used for independent research students. The activity allows students to reflect upon inequalities and problems seen in scientific authorship, including gender bias, failure to credit effort (ghostwriters), and inclusion of authors that did not meaningfully contribute to the work (honorary/gift authorship). Themes seen in student reflections on how they could demonstrate ethics in authorship included: determining authorship by contribution, appropriate attributions on curriculum vitas (CV) and posters, different credit levels, understanding authorship criteria, and tracking contributions. Themes seen in student reflections on the importance of authorship were proper authorship credit distribution, authorship impacting career opportunities, and accountability in research. In the activity, students also created attributions for a poster to be presented from their research. We found that most students were able to create attributions that were correctly formatted, included the same authors, and positioned authors in the same order as other group members, matching what was presented on the finalized poster. We found that students' reflection on authorship and this professionalization of their activities in their CURE led to modest increases in their view of themselves as scientists.

In this study, we assessed a highly structured, yearlong, case-based course designed for undergraduate pre-health students. We incorporated both content learning assessments and developed a novel method called Multiple Mini Exams for assessing course impact on the development of skills that professional schools often seek in pre-health students, focusing on students' abilities to collaborate with others, display bedside manners, synthesize patient case details, appropriately use scientific and medical language, and effectively attain patients' medical histories. This novel method utilized a rubric based on desired medical student skills to score videotaped behaviors and interactions of students role playing as doctors in a hypothetical patient case study scenario. Overall, our findings demonstrate that a highly structured course, incorporating weekly student performance and presentation of patient cases encompassing history taking, diagnosis, and treatment, can result in content learning, as well as improve desired skills specific for success in medical fields.

Within the eukaryotic cell, the actin cytoskeleton is a crucial structural framework that maintains cellular form, regulates cell movement and division, and facilitates the internal transportation of proteins and organelles. External cues induce alterations in the actin cytoskeleton primarily through the activation of Rho GTPases, which then bind to a diverse array of effector proteins to promote the local assembly or disassembly of actin. We have harnessed the extensively studied functions of RhoA in the dynamics of the actin cytoskeleton to craft a practical series for Stage 2 Biology students. This series not only imparts essential tissue culture laboratory skills but also reinforces them through repetition. These activities are presented in a scenario designed for students to explore the function of a hypothetical RhoA family member. Students produce slides from transfected cells, undertake fluorescence microscopy, process the images using ImageJ, and compile their findings in a comprehensive scientific report. The composition of the report requires independent acquisition of new knowledge and synoptic learning. According to student feedback, this early experience greatly aids in solidifying and honing the skills required to report on more extensive and intricate research projects, such as capstone projects.

Molecular case studies (MCSs) are open educational resources that use a storytelling approach to engage students in biomolecular structure-function explorations, at the interface of biology and chemistry. Although MCSs are developed for a particular target audience with specific learning goals, they are suitable for implementation in multiple disciplinary course contexts. Detailed teaching notes included in the case study help instructors plan and prepare for their implementation in diverse contexts. A newly developed MCS was simultaneously implemented in a biochemistry and a molecular parasitology course at two different institutions. Instructors participating in this cross-institutional and multidisciplinary implementation collaboratively identified the need for quick and effective ways to bridge the gap between the MCS authors' vision and the implementing instructor's interpretation of the case-related molecular structure-function discussions. Augmented reality (AR) is an interactive and engaging experience that has been used effectively in teaching molecular sciences. Its accessibility and ease-of-use with smart devices (e.g., phones and tablets) make it an attractive option for expediting and improving both instructor preparation and classroom implementation of MCSs. In this work, we report the incorporation of ready-to-use AR objects as checkpoints in the MCS. Interacting with these AR objects facilitated instructor preparation, reduced students' cognitive load, and provided clear expectations for their learning. Based on our classroom observations, we propose that the incorporation of AR in MCSs can facilitate its successful implementation, improve the classroom experience for educators and students, and make MCSs more broadly accessible in diverse curricular settings.

Molecular biology, broadly defined as the investigation of complex biomolecules in the laboratory, is a rapidly advancing field and as such the technologies available to investigators are constantly evolving. This constant advancement has obvious advantages because it allows students and researchers to perform more complex experiments in shorter periods of time. One challenge with such a rapidly advancing field is that techniques that had been vital for students to learn how to perform are now not essential for a laboratory scientist. For example, while cloning a gene in the past could have led to a publication and form the bulk of a PhD thesis project, technology has now made this process only a step toward one of these larger goals and can, in many cases, be performed by a company or core facility. As teachers and mentors, it is imperative that we understand that the technologies we teach in the lab and classroom must also evolve to match these advancements. In this perspective, we discuss how the rapid advances in gene synthesis technologies are affecting curriculum and how our classrooms should evolve to ensure our lessons prepare students for the world in which they will do science.

This article aims to simplify and facilitate the process of practical teaching of enzyme kinetics by utilizing minimal teaching laboratory requirements. Simultaneously, it ensures that students comprehend the enzyme kinetics experiment effectively. The focus is on teaching students how to estimate the maximum velocity (Vmax) and Michaelis constant (Km) of [beta]-fructofuranosidase enzyme (also known as invertase) isolated from dry yeast. The invertase enzyme catalyzes the hydrolysis of sucrose substrate into glucose and fructose, employing the Michaelis-Menten approach of evaluating invertase enzyme kinetics as well as Lineweaver-Burk linear graphic approach of evaluating the Michaelis-Menten enzyme kinetics. The practical experiment seeks to reinforce the concepts of initial velocity dependence on substrate concentration. The data presented in the work were generated from a genuine practical biochemistry course enrolled by second-year undergraduate students in the Department of Pharmacy and the Department of Medical Laboratory Science. While there were minor variations in the invertase enzyme kinetic parameters among students, they successfully carried out the experiment. The students accurately estimated the Vmax and Km of the invertase enzyme in the sucrose hydrolysis chemical reaction. Moreover, they demonstrated an understanding of the meanings of the kinetic parameters (Km and Vmax) and the utility of the Lineweaver-Burk plot.

The ubiquity and ease with which microbial cells disperse over space is a key concept in microbiology, especially in microbial ecology. The phenomenon prompted Baas Becking's famous "everything is everywhere" statement that now acts as the null hypothesis in studies that test the dispersal limitation of microbial taxa. Despite covering the content in lectures, exam performance indicated that the concepts of dispersal and biogeography challenged undergraduate students in an upper-level Microbial Ecology course. Therefore, we iteratively designed a hands-on classroom activity to supplement the lecture content and reinforce fundamental microbial dispersal and biogeography concepts while also building quantitative reasoning and teamwork skills. In a class period soon after the lecture, the students formed three-to-five-person teams to engage in the activity, which included a hands-on dispersal simulation and worksheet to guide discussion. The simulation involved stepwise neutral immigration or emigration and then environmental selection on a random community of microbial taxa represented by craft poms. The students recorded the results at each step as microbial community data. A field guide was provided to identify the taxonomy based on the pom phenotype and a reference to each taxon's preferred environmental niches. The worksheet guided a reflection of student observations during the simulation. It also sharpened quantitative thinking by prompting the students to summarize and visualize their and other teams' microbial community data and then to compare the observed community distributions to the idealized expectation given only selection without dispersal. We found that the activity improved student performance on exam questions and general student satisfaction and comfort with the biogeography concepts. Activity instructions and a list of needed materials are included for instructors to reproduce for their classrooms.

Misinformation regarding vaccine science decreased the receptiveness to COVID-19 vaccines, exacerbating the negative effects of the COVID-19 pandemic on society. To mitigate the negative societal impact of the COVID-19 pandemic, impactful and creative science communication was needed, yet little research has explored how to encourage COVID-19 vaccine acceptance and address misconceptions held by non-Science, Technology, Engineering and Mathematics majors (referred to as non-majors). We have previously demonstrated that including expert guest lectures in the vaccine module in the non-major introductory biology course helps combat students' vaccine hesitancy. In the present study, we further address how learning about vaccines impacts student knowledge and impressions of the COVID-19 vaccines through a podcast assignment. As a part of this assignment, non-majors created podcasts to address COVID-19 vaccine misconceptions of their choice. We coded pre and post, open-ended essay reflections (n = 40) to assess non-majors' knowledge and impressions of the COVID-19 vaccines. Non-majors' impressions of the vaccines improved following the podcast assignment with more than three times as many students reporting a positive view of the assignment than negative views. Notably, eight of the nine interviewed students still ended the course with misconceptions about the COVID-19 vaccines, such as the vaccines being unnecessary or causing fertility issues. In a post semi-structured interview following this assignment, students (n = 7) discussed the impact of looking into the specific misconceptions related to COVID-19 vaccines themselves, including improved science communication skills and understanding of different perspectives. Thus, podcasts can provide opportunities for students to improve engagement in valuable societal topics like vaccine literacy in the non-majors classroom.

Environmental risk perception has a long-time travel in the public participation in environmental fields. This perception involves individually socially constructed physical and mental experiences that involve many factors just for knowledge, attitudes, and the culture that develops in society. An individual's understanding of environmental risk provides an overview of an individual's preparedness for appropriate environmental risk strategies and measures. This cross-sectional survey study aims to collect data on the environmental risk perception of Indonesian students. The survey data instrument used in this study is the environmental risk perception scale (ERPS) questionnaire, transformed into Google Forms in the Indonesian language. The target respondents were 1,267 students from 1,300 undergraduate population size of educational study programs in the field of biology who came from various institutions in Indonesia. Sexual category, grade point average (GPA), and university status to explore the perception of the active student environment of prospective biology teachers with various parameters. The results showed several interesting findings: the female sex is more sensitive to environmental risks, academic abilities play a more logical role in environmental risk analysis, and respondents who have taken environmental courses have a higher sensitivity to environmental risk.

The research aimed to describe the development of solar electric cars as a prop in energy conversion learning using the analyze, design, develop, implement, and evaluate (ADDIE) model and to ascertain the effectiveness of an electric car as a prop in energy conversion learning. Utilization of prop in the learning process is one way to support the development of knowledge, skills, and basic needs for delivering material, concepts, and physics information. This research is a descriptive study involving media and pedagogical experts and 40 students of the university in Tasikmalaya. Data collection techniques were carried out through the study of literature, expert validation, and student perception questionnaires. Expert validation and student perception were obtained by using a Likert scale. The expert judgment results were processed using the V value equation developed by Aiken. The results showed a value of 1, meeting the minimum validation requirements. The students also had positive responses to a prop. They have new experience learning in energy conversion and have good media to help their comprehension. It has a significant impact on helping students to achieve their learning goals.

The circumstances associated with high levels of achievement in undergraduate studies has not been thoroughly explored in the Australian context. This study investigated factors predicting high academic achievement, defined as maintaining a Distinction average, at undergraduate level. Findings revealed several factors that predicted achievement after two semesters of study. These factors included essay writing skills, with students having satisfactory writing 5.16 times more likely to maintain a Distinction average compared to those with below satisfactory writing; faculty, with students enrolled in Health Sciences 4.63 times more likely compared to students from other faculties; language background, with English-speaking background students 1.67 times more likely compared to English as an additional language or dialect (EAL/D) students; gender, with females 1.45 more likely compared to males; and age, with older students 1.03 times more likely to achieve high performance compared to younger students. Creating a profile of students likely to excel academically assists decision makers in allocating resources to students less likely to achieve. This research opens the door to further studies investigating whether these factors play a role in predicting student achievement at university.

The objective of this study is to ascertain the impact of interactive videos on web-based courses on students' technology proficiency and digital literacy levels, as well as their perceptions of this approach. To achieve this objective, the study was conducted using quasi-experimental designs, which are a type of quantitative research approach. The research group was selected using the convenience sampling method. The quantitative data gathered with the aid of data collection instruments were analyzed using dependent and independent samples t-tests. Qualitative data were analyzed using content analysis. The study's findings revealed a significant difference between the technology proficiency and digital literacy pre-test and post-test scores of the students in the experimental group. Furthermore, the findings indicated a significant difference between the technology proficiency and digital literacy scores of the groups, with the experimental group exhibiting superior performance. The results demonstrated that the use of interactive videos in web-based lessons can enhance students' technology proficiency and digital literacy levels. Therefore, the findings and results of the study will make a significant contribution to the field.

Idioms are highly conventionalized expressions that allow users to express beyond literal meanings. Despite the language difference, counterparts of idioms may overlap cross-culturally due to similar origin, social habits, and experiences. It is therefore interesting to probe whether L2 learners may benefit from deliberate instructions built on shared counterparts existing in both L1 and L2, known as cross-language overlaps. Although the phenomenon of cross-language overlap has been reported by lexical and collocation processing research (e.g., Carrol & Conklin, 2017; Hubers et al., 2020), it is yet uncertain whether its impact is influential for L2 idiom learning with the absence of semantic or syntactical similarity. To address this gap, the current study attempted to investigate whether raising English as a foreign language learners' awareness of cross-language overlap may facilitate L2 idiom teaching and how such overlap-enhancement instruction may change over different congruence conditions (congruence-available and incongruence conditions) and time. The study collected L2 idiom learning data from forty-five Chinese English learners, following a pretest-posttest design. While the experimental group (n=26) learned twenty-eight target L2 idioms with an enhancement instruction emphasizing the overlaps, the control group (n=28) learned these idioms with a conventional instruction method. Findings of this study revealed that participants were able to benefit from cross-language overlaps from both conditions, and the enhancement instruction on the semantic overlaps would result in significant learning improvement. It is therefore pedagogically advisable for language teachers to marry up L1-L2 idiom phrases containing similar counterparts and deliberately focus on the semantic congruency.

This study examined experiences and viewpoints of English as a Foreign Language (EFL) learners' regarding the integration of QR codes into writing and speaking practices at the tertiary-level L2 learning. Employing an action research design, researchers collected qualitative data through online interviews, a survey of open-ended questions, and learners' written reflections during class hours and brief field notes. Inductive thematic analysis was used for data analysis to form codes and themes. As a result, the learners identified QR codes as time-saving, useful, and enjoyable pedagogical tools for writing and speaking practices. The facilitative role of QR codes was centered on increasing motivation and interaction with classmates during different phases of productive skill-based activities, particularly in the idea-generation steps. The learners reported that QR code-based mobile learning practices make learning environments more participatory, safe, inclusive, and cooperative. The study presents instructional implications for transforming conventional student-teacher interaction into a peer-learning-oriented and autonomous atmosphere in higher education.

Simon Fraser University in Vancouver, Canada offers two introductory calculus courses designed for students enrolled in science and engineering programs. Students identified as needing additional support based on their admission grades take the version of the course where students meet weekly for four hours instead of three. A new approach for the fourth hour was introduced in Fall 2019 splitting the class into smaller sections of 20-40 students to work in small groups on vertical whiteboards under the supervision of the instructor, complemented by peer tutors. This format introduces an active learning element that improves student performance and attitude. The project was first implemented in Fall 2019, although interrupted due to COVID-19. After returning to the in-person classroom, the whiteboard seminar program was reinstated. In Fall 2022 and Spring 2023, survey feedback was collected from both students and peer tutors for a more holistic perspective on the program. In this study, the results of these surveys are analyzed, focussing on four areas of measurement: students' satisfaction, learning calculus concepts and problem-solving techniques, the contribution of the instructor, and the contribution of the peer tutors. Exploratory factor analysis revealed three latent variables underlying student survey responses. The survey results suggest that interactions with the instructor, peer tutors, and active learning activities all contributed to students' enjoyment of the course and their perceptions of their own learning. We compared students' final course grades from Fall 2018, where the fourth hour was devoted to lecture before the program was implemented, to Fall 2019 and 2022. The data shows a decrease in the percentage of students failing the course and an increase in those earning A's and B's since the program's implementation. Additionally, survey results show that replacing a typical lecture-style hour with a whiteboard seminar improved students' attitudes and perceptions of the course.

This study aimed to investigate the impact of artificial intelligence (AI) anxiety on multi-dimensional 21st-century skills and lifelong learning among undergraduates. A quantitative method using a correlational research model was used to examine the relationships between AI anxiety, 21st-century skills, and lifelong learning levels, considering various demographic and educational variables. Data were collected from undergraduates in educational faculty programs in Kyrenia, Turkish Republic of Northern Cyprus (TRNC) during the 2023-2024 academic year. Findings revealed a moderate level of AI anxiety among students, a strong perception of possessing relevant 21st-century skills, and a moderate recognition of the importance of lifelong learning. Significant differences in AI anxiety were observed based on gender, with females reporting higher anxiety levels. Age, country of origin, university, faculty program, class level, GPA, use of AI-based products or services, and daily internet use for professional development also influenced students' 21st-century skills and lifelong learning levels. No significant correlations were found between AI anxiety and the other constructs, while a moderate positive correlation was identified between 21st-century skills and lifelong learning. These findings emphasize the importance of fostering 21st-century skills for lifelong learning and suggest that AI anxiety may not significantly impact students' skill acquisition or learning behaviours.

The researchers examined the relationship between informal digital gameplay and learner profiles in two Japanese private universities. Seventy-eight participants responded to 59 items on a digital questionnaire that consisted of four sections: 1) Learner Profiles, 2) Digital Game Usage, 3) Open-Responses, and 4) Demographics. The results of the study demonstrated that students positively identified with the learner profiles featured on the questionnaire (M = 3.80). The highest mean values were associated with the profiles of Digital Citizen (M = 4.30) and Knowledge Constructor (M = 4.15). It was discovered that participants engaged in digital gameplay most often with smartphones (M = 3.64) and game consoles (M = 2.79). Simulation (M = 2.81) and real-time strategy (M = 2.66) games were the most frequently played. The results of a Pearson Product Moment Correlation showed that there was no significant relationship between informal digital gameplay and learner profiles. Furthermore, self-identified gamers and non-gamers did not significantly differ on the Learner Profile Total Scale or subscales.

Grit, the passion for achieving long-term goals, has been conceived as a two-dimensional construct (Consistency of interest and Perseverance of effort). The construct is well known for its easy measurement and its relationship with performance, including academic performance. However, there have been different criticisms, such as the overlap of grit with other personality characteristics, the variability in the psychometric structure of the Grit-O and Grit-S tests, and the fact that some work reports a weak influence of grit on academic performance. Within this framework, this study contrasts different psychometric structures of the Grit-S scale and its relationship with the academic performance of higher education students. So, with this purpose, a dichotomous model of high and low grit, a K-medias clustering model, and three structural equation models have been tested. The results indicate that (a) there is a statistically significant relationship between grit--mainly determined by the consistency dimension--and academic performance, although it decreases when controlling for contextual variables, and (b) Consistency mediates the relationship between Perseverance and academic performance. The instability of grit to predict performance is discussed, and the thesis of a two-sub-dimensional structure is supported.

Although student engagement has been a widely researched area known to improve student learning and a topic of scholarly debate for many decades now, this has yet to be the case in Azerbaijan. Data from the National Survey of Student Engagement, conducted among 433 undergraduate students of the 18-23 age range (M = 21.37, SD = 1.43) at eight universities in Azerbaijan, allowed us to examine variations in the conditions meant to foster student engagement, as well as students' perspectives on improving their educational experiences. Specifically, we looked at differences related to academic challenges, learning with peers, teacher experiences, and campus environment. Student engagement varied across disciplines. Small universities in the capital city provided better collaborative learning conditions. However, students at regional universities were more satisfied with the quality of student-faculty interactions. Nonetheless, students saw a strong need for fundamental changes in higher education in Azerbaijan, focusing on improving the quality of teachers, teaching and the curriculum. The study provided an overview of student engagement variations across institutions and disciplines and how students conceptualise necessary improvements in student experiences. Institutional leaders must understand the variations for seeking essential changes in the HE system to effectively accommodate students' needs and expectations.

Currently, the study of non-cognitive variables and their effect on the academic performance of students has gained relevance. In view of that, the purpose of the present study was to analyze through structural equation modeling to what extent growth mindset, self-efficacy, and grit have direct effects on student performance. For this, an explanatory design of latent variables was followed, in which 305 university students participated, including men (41.8%) and women (58.2%), who reported an average age of 22.8 (SD = 3.5), all included due to convenience. To measure the independent variables, the ITIS (growth mindset), Grit-S (tenacity) and EPAESA (academic self-efficacy) were applied, while for the measurement of the dependent variable, the grades of the students of the two last semesters were used. Among the main findings, it is reported that growth mindset, grit, and self-efficacy have direct and significant effects on the academic performance of students. In conclusion, this set of non-cognitive variables successfully explains the academic performance of the study participants.

The technology-supported education systems seamlessly integrated throughout the globe in response to the demands of post COVID-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of digital literacy, the incorporation of AI tools, and Peer Supported Collaborative Learning (PSCL) on the learning perceptions of university students. The research aims to discern the implications of these technological and social facets on students' attitudes towards AI assisted learning process. Structured questionnaire-based survey among the University students were done for this descriptive research. 409 responses collected were analysed with SPSS, Excel and Process Macro. It is found that the students' Digital Literacy, Use of AI tools and PSCL on AI assisted learning were positively correlated. The partial mediatory path through the PSCL and AI tool usage has a significant positive influence on students learning process. The insights gathered from this study can inform educators, policymakers, and institutions on optimizing the amalgamation of digital literacy, AI tools and PSCL to enhance the contemporary learning environment. As universities navigate the digital age, this research provides a nuanced understanding of the dynamics shaping students' perceptions, offering valuable insights into the multifaceted aspects of AI influencing the educational landscape.

Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were collected and analyzed from 265 undergraduate students. Students engaged in a technology-based multitasking perceptions survey, a video + survey multitasking task or a video-only non-multitasking task, and a technology-based self-efficacy survey. An analysis of student perceptions indicated that students understood that different tasks required different levels of mental effort to complete successfully and that multitasking across high-mental effort tasks required greater effort than multitasking across low-mental effort tasks. In addition, students in the video + survey multitasking group significantly underperformed students in the video-only non-multitasking group. Finally, the relationship between technology-based multitasking and self-efficacy was addressed in a correlational analysis between student technology-based multitasking scores and technology-based self-efficacy scores, yielding no significant relationship. The study findings indicate that most students have an understanding and awareness of multitasking, but ultimately, whether they believed they could multitask or not, multitasking significantly impeded performance.

Studies show undergraduate students typically view the idea of research negatively, with students reporting feelings of anxiety, difficulty, detachment, and reduced perceptions of relevancy to their own life. Course-based undergraduate experiences (CUREs), where students have an opportunity to engage in authentic research experiences, can reach large number of students in a convenient fashion, thus, are well-positioned to shift student perceptions of research. The purpose of this study is to explore changes in attitudes towards research in a large sample of undergraduate students' after completing one semester of a CURE, either in-person or online due to COVID-19. This study used a within-subjects pre-posttest design. Data collection took place over eight semesters from fall 2019 through spring 2022 at a large metropolitan public university in the southeast region of the United States. Students enrolled in the CURE were asked to complete the Attitude Towards Research scale at the beginning and end of the semester covering the following factors: usefulness of research (F1), anxiety (F2), affect indicating positive feelings about research (F3), life relevancy of research to the students' daily lives (F4), and difficulty of research (F5). Wilcoxon signed rank tests for paired data were conducted and Mann-Whitney U tests assessed whether there were any differences between students who completed the course face-to-face versus online. Across all eight semesters, 1,003 students (74% female, 91% Seniors) provided valid pre-posttest data. Statistically significant improvements were observed across all semesters (online and face-to-face) for research anxiety, positive attitude towards research, research relevance to own life, and research difficulty from the ATR scale (p<0.05). For usefulness of research for profession (F1), statistically significant differences were observed in four out of the eight semesters (p<0.05). Changes in students' attitudes towards research did not differ between course modality (face-to-face versus online) except for F1. The mean change in F1 was different between students taking a face-to-face (mean: 0.22, ±SD 1.02) versus online version (mean: 0.07, ±SD 0.72) of the course (z = 2.35, p = 0.02). Findings from this study demonstrate the potential of a CURE at reducing anxiety, lowering perceived difficulty, enhancing overall impressions, and students' overall attitudes toward research and research-based education. Continued consideration and evaluation of how and what is delivered in CUREs to students is required to advance the pedagogy of research methods.

The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven towards how the actual usage of Cloud e-learning module affects students' perceptions and academic performance. A Cloud e-learning module is designed and developed to promote optimised resource utilisation in the e-learning processes in higher education. A pretest-posttest method was adopted to study the impact of Cloud e-learning usage among students and whether the diffusion of Cloud e-learning has caused a change in students' perceptions. The pretest-posttest results and students' academic performance were then analysed to examine the impact from the actual usage of Cloud e-learning module. The findings reveal that the change of students' perceptions is time variant, indicating students' mixed perceptions on the usage of Cloud e-learning module. Analysis evidently reveals that the use of Cloud e-learning improved students' learning performance in theoretical subjects. This research is useful to educators and ICT practitioners in making informed decisions in adopting the right ICT infrastructures to support e-learning in higher education.

The study aimed to assess the effectiveness of the Predict-Explain-Enact-Observe-Reflect (PEEOR) instructional strategy on general science students' conceptual understanding and motivation in the topic of motion and force. The research employed a pre-test post-test quasi-experimental design. The sample consisted of 107 general science summer, year II students from Woldia College of Teacher Education. Data collection involved a conceptual understanding test (comprising 15 questions) and a post-motivation questionnaire. The KR-20 reliability value for the conceptual understanding test was 0.75. The Cronbach Alpha (a) reliability coefficient for the scale was determined to be 0.84. Descriptive statistics and ANCOVA revealed the following: The PEEOR group (adjusted mean = 6.787) significantly outperformed the traditional group (adjusted mean = 5.134). The POE group (adjusted mean = 6.472) did not differ significantly from either PEEOR or the traditional group. Regarding student motivation: There was a statistically significant difference (p < 0.05) in post-test motivational questionnaire (PMQ) scores among the three groups. The F-statistic for this difference was 4.753. The study recommends that college physics teachers adopt the PEEOR instruction strategy. Additionally, the college and department heads of natural science should promote the potential benefits of this novel strategy among science educators.

Language learning strategies may have a key role in foreign language learning because they may foster learner autonomy and motivation. Keeping the learner-centred nature of language learning strategies in mind, this study set out to understand the impact of overt listening and reading strategy instruction on learners' listening and reading achievement. The study employed an explanatory mixed-method research design. Research instruments were reading and listening achievement tests and semi-structured interviews. The treatment involved overt listening and reading strategy instruction that lasted for four weeks. The findings revealed that overt listening and reading strategy instruction fostered learners' reading and listening achievement. Similarly, semi-structured interviews revealed that learners were willing to transfer the strategies they learned to new learning situations and keep using these strategies in future learning situations.

Growing human capacities in STEM remain the most practicable way to solving present and future challenges. Improved test score, opportunities to learn, resources and facilities have been recommended in the literature to build capacity and improve achievement for effective and qualitative delivery in STEM classrooms. We focus on the two primary stakeholders in teaching and learning in the university who are students and lecturers. This manuscript explores the causes of underachievement among undergraduates in STEM fields by employing a mixed methods for data collection and analysis among 150 undergraduates and 45 lecturers from six public universities using purposive and quota sampling. Three main research questions were raised on student, lecturer and institution base factors along with perceived hindrances to STEM learning and teaching. Three instruments; Students Factors for Underachievement (SFUA), Lecturers Factor for Underachievement (LFUA) and Lecturers Perceived Factors for Underachievement (LPFU) were employed for data collection through survey and interview. Among other findings, poor prior knowledge among learners, non-utilisation of instructional resources, inaccessibility to library and laboratory and it resources were principal hindrances of undergraduates, lecturers and institution-base factors. The study concluded that efforts and better commitment is required from stakeholders to alleviate the present inadequacies and recommend interventions to remediate areas of need.

This research and development study aimed to develop the prototype of virtual learning implemented in flipped classrooms and evaluate its effectiveness as a tool for developing Thai undergraduates' English receptive skills. To assess if the designed prototype is effective, a quasi-experimental method was employed. The experimental sample group consisted of 40 undergraduates studying English as a required general education subject at a university in Thailand. They were purposively selected as their English proficiency level did not meet the university requirement of not lower than 600 of the TOEIC scores for graduation. The actual TOEIC tests as a pre- and post-tests, have been employed to examine if the prototype was effective. The collected data from pre- and post-tests were then analyzed through the t-Test and ANOVA. The results showed that the designed prototype applied in teaching and learning through the three online virtual platforms, namely Second Life, VRChat, and the ClassStart in the flipped classrooms was effective for developing students' English receptive skills, as the overall development of students' English receptive skills, both listening and reading, as shown from their post-test English TOEIC scores had significant development, showing that the post-test scores were higher than those of their pre-test's. Therefore, applying this prototype to language teaching and learning as a pedagogy is highly advised.

This study investigated the effects of a reading assistant software on the fluency and accuracy of speech production among EFL university students, employing a one-group pretest-posttest design. The participants included 50 Thai undergraduate English majors in their first and second years. Data were analyzed using paired samples t-tests to measure L2 oral fluency, specifically pruned speech rate (PSR) and mean length of run (MLR). Accuracy rate was assessed by quantifying the proportion of error-free clauses within the participants' speeches from the pretest and posttest and calculating the average number of error-free clauses per T-unit. Results indicated significant improvements in speech fluency, evidenced by longer uninterrupted speech segments, fewer disfluencies like filled pauses and repairs, and increased overall fluency. Additionally, the post-test showed a higher percentage of error-free clauses compared to the pretest, reflecting a substantial enhancement in grammatical accuracy. This suggests that the intervention had a positive impact on the participants' ability to produce grammatically accurate and error-free clauses. These outcomes suggest that the reading assistant software effectively enhances both the fluency and grammatical accuracy of speech production in EFL learners, underscoring its potential benefits in language education contexts.

The contents of calculus, known for their complexity, present significant challenges for students, particularly in mastering multiple integrals and effectively visualizing related concepts. The transition to distance learning prompted by the COVID-19 pandemic has further complicated the learning process in multiple integrals. In line with this and considering the potential of computer-supported collaborative learning (CSCL), in this research we explore the impact of teaching in a CSCL environment on student achievements, focusing on students from the computer science study program. Through data analysis using ANOVA and Bonferroni post-hoc tests, it was found that students exposed to collaborative learning in GeoGebra environment demonstrated higher levels of theoretical and practical knowledge compared to peers who acquired knowledge without using GeoGebra. Additionally, this group of students achieved results comparable to those of students who attended traditional in-person teaching, showing noticeable improvements in solving complex tasks. Our findings show the effectiveness of CSCL approach in context of distance learning and highlight potential of collaborative environments enhanced with technology in facilitating student understanding and achievements in calculus education.

In both the educational and business environments, two trends may be inarguable. The difference between the demand of technology positions as compared to the number of people majoring or interested in technology-based careers. Secondly, the education environment is radically changing in several aspects including a high number of undecided majors entering undergraduate institutions as well as the ability of skills development by higher education students entering the marketplace. The recent and historic attention in artificial intelligence and machine learning technology may have an impact on both a change in the demand for total positions and interest in technology-based careers. This research study will investigate the attitudes and perceptions of first-year college students over four academic years to determine changes. Six of the factors studied were found to have significant differences between the research period: attitude, job availability, personal image, social image, subjective norm and intent to major. The intent to major has remained consistently low for three of the four years. The implications from this research will provide insight to both business organizations for recruiting as well as all educational institutions.

The role of secondary education is critical to preparing graduates for adulthood. This study explored the transition experiences of high school graduates and factors that impacted their preparation for adulthood. This descriptive study focused on the experiences of degree and non-degree-seeking graduates. Surveys were distributed to students enrolled in a general education course at a state university and marketing research participants not enrolled in post-secondary programs. The survey sought to identify overall preparedness, responsibilities deemed necessary to teach in high school, and influence factors that prepared them for adulthood. The overall findings displayed that graduates seeking degrees felt more prepared for adulthood. While both groups agreed that many adulthood-responsibility topics should be taught, degree-seekers found less value in teaching parenting skills in a high school class despite identifying that parents have a more significant impact on preparing them for adulthood. Researchers recommend that in addition to college and career-ready curricula, instruction should include preparation topics that align with 21st-century markers that better support non-degree-seeking graduates toward successful transitions into adulthood.

A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n = 17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming, Arduino programming self-efficacy, Arduino programming posttest scores, and types of programming errors. Students were undergraduates in an introductory agricultural systems technology course in Fall 2023. The results indicated no significant (p < 0.10) differences between groups for programming rubric scores (p = 0.50) or interest in Arduino programming (p = 0.50). There were significant differences for Arduino programming self-efficacy, (p = 0.03, Cohen's d = 0.75) and Arduino posttest scores, (p = 0.03, Cohen's d = 0.76); students in the self-programming group scored significantly higher on both measures. Analysis of students' errors indicated the ChatGPT group made significantly (p < 0.01) more program punctuation errors. These results indicated novice students writing their own programs developed greater Arduino programming self-efficacy and programming ability than novice students using ChatGPT. Nevertheless, ChatGPT may still play an important role in assisting novices to write microcontroller programs.

This guest perspective argues that converting in-person summer pre-college program participants into matriculated, degree-seeking undergraduate students at that same institution is a multi-step process that involves: 1) strategic pre-college program recruitment, 2) a curated and well-rounded summer pre-college experience that is both academically rigorous and socially dynamic, and 3) continued and consistent post-program engagement. It also argues that summer pre-college programs should work intentionally with Admissions departments during pre- and post-program development to create the most effective recruiting and enrollment pipelines from pre-college to eventual matriculation.

Vocabulary knowledge plays an important role in writing. Previous research has examined the relationship between various aspects of vocabulary knowledge and independent writing performance and limited attention has been given to integrated writing such as summary writing. Our study investigated the contribution of two aspects of vocabulary knowledge (vocabulary size and lexical richness) to summary writing quality. In addition, we examined the extent to which lexical richness measures relate to summary writing quality among students who have smaller vocabulary sizes and students who have larger vocabulary sizes. We addressed these questions by administering a lexical decision test called the LexTALE and analyzing lexical richness and writing quality in the summary writing of 73 English as a Foreign Language (EFL) learners of English. The results revealed a strong positive correlation between vocabulary size and summary writing quality indicating that a larger vocabulary size is associated with higher-quality summaries. However, most measures of lexical richness did not show a significant correlation with summary writing quality. Interestingly, the relationship between lexical richness measures and summary writing quality varied when learners were put in two groups with different vocabulary sizes. Implications of the findings of the study for language teaching pedagogy and for research on the complex relationship between vocabulary knowledge and summary writing are discussed.

In this qualitative study, we analyzed the processes of a collaborative online international learning (COIL) collaboration between two higher education institutions in Japan and the United States from the perspective of the technological, pedagogical, and content knowledge (TPACK) framework. The research question this study aimed to address was: What is the utility of the TPACK framework, as a lens of analysis, for this online cultural exchange? To address this question, we conducted semi-structured interviews with student participants and examined their written works. From the student participants' learning experiences, we identified evidence of cultural exchange as well as evidence of missed opportunities for cultural exchange arising from the limited knowledge of technology, pedagogy, content, and culture. COIL and TPACK both share a common goal of increasing students' access to multiple knowledge systems using educational technology. As a result, COIL conceptually aligns well with the TPACK framework. This collaboration showed an ongoing need for the centering of cultural knowledge and cultural exchange in both COIL and TPACK. We, accordingly, outline potential for a TPACCK, a modified TPACK framework to center cultural knowledge in both with the hope of taking steps towards a more culturally sustaining framework of international collaboration.

Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their numerous benefits, there exists a scarcity of data-driven evidence regarding students' use of and engagement with lecture capture videos. Most existing studies rely on self-reported data, lacking comprehensive insights into students' actual video engagement. This research endeavor sought to bridge this gap by investigating university students' engagement patterns while watching lecture capture videos. To achieve this objective, we conducted an analysis of a large-scale dataset comprising over one million rows of video interaction logs. Leveraging clustering and process mining methodologies, we explored the data to reveal valuable insights into students' video engagement behaviors. Our findings indicate that in approximately 60% of students' video-watching sessions, only a small portion of the videos (an average of 7%) is watched. Our results also show that visiting the video page does not necessarily mean that the student watched it. This study may contribute to the existing literature by providing robust data-driven evidence on university students' lecture capture video engagement patterns. It is also expected to contribute methodologically to capturing, preprocessing, and analyzing students' video interactions in different contexts.

The COVID-19 pandemic has led to the disruption of classroom activities and adoption of online teaching-learning in almost all parts of the globe, including India. The sudden switch from classroom blackboards to laptop screens may have influenced students' study approaches, especially with challenges related to technology access and readiness for online learning among Indian students. Since different social and economic factors bring about differences in students' learning, an online survey was conducted with 296 randomly selected undergraduate distance learning (DL) students at Indira Gandhi National Open University to examine how technology access during the pandemic influenced the study approaches of Indian DL students from various marginalized and non-marginalized groups. The research results showed that marginalized students had lower access to technology than did their non-marginalized counterparts, although no gender differences were found in access to technology in both the groups. Lower access to technology was associated with a surface approach to study among the DL students in general and the marginalized students in particular. Females in the marginalized group were found to be at risk in terms of both access to technology and study approaches. The findings were intended to enrich our understanding of the role of technology vis-à-vis distance learners' study approaches during the pandemic and formulate appropriate teaching-learning strategies for the future.

Because women in Indonesian society gain more experience in the family, one of which is education instilled through family gender culture, women's career aspirations are believed to have their own characteristics. In today's society, the current condition of female students' career expectations is apprehensive. Most of the female students do not have any professional characteristics, such as career aspirations. This research involving 109 female students from various cultural contexts will divide their findings into two categories: patriarchal family education and matriarchal family education. The main objective of this research is to investigate the career expectations of female students in relation to patriarchal and matriarchal family education, and to compare the two household categories. As a result, the majority of female students from societies that place a patriarchal emphasis on gender have expectations of career self-efficacy, whereas those from societies that place a matriarchal emphasis on gender have expectations of outcomes. Parametric analysis of variance (ANOVA) test was used for comparative analysis. The test results show F = 75.011 for career expectations on self-efficacy and F = 145.467 for outcome expectation (OE). 0.000 is a significant value for both variations.

Intrapreneurship skill has considered as the alternative learning outcomes of entrepreneurship education. However, entrepreneurship teachers need a complex learning program to develop intrapreneurship among business students. At the same time, The Ministry of Education and Culture of The Republic of Indonesia recommends university teachers implement case methods to deliver complex learning environments and build critical skills among students. Therefore, this study aims to i) examine the effect of micro small medium enterprise (MSME) cases on the intrapreneurship of business students, ii) investigate the influence of MSME cases on flow experience in entrepreneurship education and iii) investigate the effect of flow experience during entrepreneurship education on intrapreneurship skill. We used field experiments on entrepreneurship and digital business student in business development courses. The result indicates that the case method effectively developed student intrapreneurship skill and flow experience during the course positively impacting student intrapreneurship skill.

While scholars have found that undergraduate involvement in research is beneficial, the lack of such experiences in the social sciences and humanities is glaring. This paper analyzes how an emphasis on community through cohort models impacts undergraduate student experience in research, taking from the Emerging Scholars Program, an interdisciplinary research program where cohorts of undergraduates are matched with faculty and attend meetings, workshops, and presentations together. We find that the cohort model created a robust community that fosters positive relationships that develop professional skills and emotional support, allowing students to collaborate and aim more toward their professional goals. The results from this study offer valuable insights into how universities can ensure that students have meaningful research experience beyond the classroom.

This qualitative study explores the potential of generative artificial intelligence (AI) to improve the academic writing skills of a large student cohort within the context of a distance learning institution. Utilising qualitative methods, the research explores diverse approaches and applications of generative AI to elevate teaching and learning experiences. Grounded in socio-cultural theory and a human-AI collaboration framework, the study highlights the synergistic interplay between human intelligence and generative AI capabilities. Email interviews with lecturers, focus group discussions with students, and informal discussions with markers on a WhatsApp group helped researchers to (1) understand lecturers' perceptions of generative AI integration in the Academic Writing module, (2) explore students' perspectives on the potential of generative AI as a guide in the Academic Writing module, and (3) examine the potential of generative AI on students' motivation to enhance their academic writing skills. Findings from the study reveal that the potential of generative AI has a positive impact on teaching and learning experiences, providing innovative opportunities for academics. This research contributes to the discourse on the intersection of generative AI and education, reiterating the innovative potential of generative AI in redefining pedagogical strategies and shaping the future of distance learning.

During the preschool period, children's interest in reading increases, and their attitudes toward books develop with the means and opportunities provided by their teachers. Teachers' attitudes develop during their undergraduate education as pre-service teachers. This study aims to reveal preschool pre-service teachers' attitudes toward children's literature and reading habits and the relationship between these attitudes. The relational screening model was used, and the study was conducted with 343 preschool pre-service teachers. The data were collected through the "Preservice Teacher's Attitude toward Children's Literature Scale (ACLS)" and "Pre-service Teacher's Attitudes toward Reading Habit Scale (ARHS)." The descriptive, difference and correlation analyses were used to analyze the collected data. As a result of the study, the attitudes of preschool pre-service teachers toward children's literature were found to be high, and their attitudes toward reading habits were moderate. Regarding the differences in the attitudes according to the variables, the following results were obtained: female pre-service teachers' attitudes toward children's literature and reading habits were significantly higher than males; attitudes of 4th-grade pre-service teachers' toward children's literature were significantly higher than others; regarding the attitudes toward reading habits, the only significant difference is in the "attitude toward the development of reading habit" sub-dimension, in favor 1st-grade pre-service teachers; attitudes toward children's literature showed a statistically significant difference in favor of pre-service teachers who took children's literature course, but taking this course did not affect their attitudes toward reading habits. A positive and weak relationship was found between preschool pre-service teachers' attitudes toward children's literature and reading habits.

Technological advances and the COVID-19 pandemic have led to a significant paradigm shift in the field of education, especially in the field of distance education. In this period, although distance education offers a number of advantages to its users, it has also brought some difficulties. This sudden transition has had a profound impact on students, teachers, and institutions, leading to changes in teaching methods, assessment practices, and student engagement strategies. This study aims to investigate the problems that arise in the distance education process and to examine the effects of these problems on students in detail. A qualitative approach is considered ideal since it enables deeper understanding of experiences of university students during distance education. Convenience sampling was chosen because it provided easy access for the researchers and allowed the inclusion of participants who met the required criteria. The participants consisted of 37 people, 28 girls and 9 boys, who had experienced the distance education and were studying in the Psychological Counselling and Guidance programme in the second year of a state university located in the Aegean region of Türkiye. The data were collected through semi-structured interviews and analysed using content analysis and thematic analysis methods. According to the findings of the study, the problems encountered by the students in the distance education process were listed under the following main themes: technological problems, problems related to the monitoring and evaluation of the course, motivation problems, emotional and physical problems, communication problems, problems related to domestic and environmental factors, feeling of professional inadequacy. In addition, students' suggestions for solutions to these problems and their opinions about whether they prefer face-to-face or online education were also discussed. As a result, the study offers suggestions for educational institutions and educators to overcome the difficulties encountered in distance education and to make the experience a positive one.