Although research on screencast-mediated feedback has yielded promising findings, further empirical inquiry is required to deepen our understanding of its potential. Correspondingly, this exploratory study sought the perceived affordances and constraints of screencast-mediated feedback as compared to traditional text (or written) feedback. Drawing mainly upon Mayer's (2005) Cognitive Theory of Multimedia Learning (CTML) as the framework, university-level English-as-a-foreign-language (EFL) students received screencast-mediated feedback over four writing tasks in an undergraduate course requiring them to write in academic English. In total, the duration of screencast videos ranged from 37 minutes to 100 minutes (M≈ 59 mins.), amounting to approximately 34 hours (2019 minutes) in total. Employing a mixed-method design, data were triangulated through surveys and open-ended questions. Findings revealed that most participants expressed positive attitudes toward screencast feedback, highlighting its ease of use, enhanced clarity, and usefulness for revising, organizing, and structuring their writing, as well as for strengthening arguments and elaboration. In terms of constraints, nearly two-thirds of participants reported no challenges, while others cited difficulties such as the inability to ask questions immediately, limited sense of interaction, and occasional technical issues. Overall, the study advances understanding of learner perceptions and offers implications for L2 writing feedback, particularly in relation to instructors’ digital literacy, pedagogical practices, and the practical integration of screencasting technologies in academic writing contexts.

The aim of this systematic review is to examine and synthesize existing empirical evidence on external variables that influence students’ attitudes toward the acceptance of artificial intelligence (AI) in improving English writing skills. This research offers a conceptual framework, AI Constructivist Learning Model (AICLM), based on Technology Acceptance Model (TAM) and Constructivist Learning Theory (CLT). Motivation, engagement, and societal expectations, based on CLT, are identified as external variables in TAM. These three constructs support active, autonomous, and student-centered learning. A systematic search of academic databases was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Sixteen empirical studies published from 2021 to 2025, indexed in Scopus, Web of Science, and Google Scholar, were included in this review. Articles were selected on the basis of certain keywords such as, AI, English writing, TAM, and CLT. Findings indicate that students perceive the ease of use and usefulness of AI if they have high motivation, more engagement, and positive societal expectations. Therefore, motivation, engagement, and societal expectations are significant external variables that influence the attitudes of students toward AI acceptance in improving English writing. AI integration in English writing development can be successful if the interaction between the constructs of TAM and CLT is understood well. CLT supports why and how students engage actively with AI tools. Students are more likely to accept AI if it increases motivation enhances engagement and fulfils societal expectations. This conceptual framework is significant for future researchers and teachers in designing effective AI-based writing instructional strategies and curricula.

Abstract Research training programmes are essential for enhancing methodological competence among early-career scholars, yet the role of technology integration in short-term workshops remains under-explored. This study examines the effectiveness of a technology-integrated, ICSSR-sponsored Research Methodology Course (RMC) by evaluating participants' perceptions of technology usage, ease of use, usefulness, and attitude. Adopting a mixed-methods descriptive survey design, data were collected from 120 research scholars and faculty members using a structured Likert-scale questionnaire and an open-ended reflection. Quantitative analysis using Pearson correlation and multiple linear regression revealed a significant paradox: while participants reported high reliability ( > 0.80) and positive attitudes toward technology, these factors did not significantly influence the perceived effectiveness of the course. The regression model indicated that technology-related variables explained a negligible 1.1% of the variance in course effectiveness ( ). Qualitative thematic analysis provided a critical explanation for these "null" findings, revealing that participants prioritized "human-centric" factors—such as financial security (stipends), residential facilities (meals and accommodation), and academic networking—over software training. Furthermore, a persistent "digital infrastructure gap," characterized by a lack of personal laptops among scholars, hindered the long-term utility of the technology integrated into the workshop. The study concludes that in the context of Indian social science research, technology serves as a "hygiene factor" rather than a primary driver of training success. True effectiveness is shaped by a broader ecosystem of socio-economic support and mentorship. These findings suggest that national funding agencies should move beyond a purely "tech-centric" model to prioritize infrastructure access and sustained financial support for scholars from diverse backgrounds. Keywords: Research Methodology, ICSSR, Technology Acceptance Model (TAM), Digital Divide, Capacity Building, Social Science Research.

OpenFieldAI - new open-source AI based software for tracking rodents and training open field test models.

Background: Hearing loss is prevalent among older adults, yet hearing aid uptake remains low. The recent introduction of over-the-counter (OTC) hearing aids by the U.S. Food and Drug Administration aims to improve accessibility by removing the requirement for professional involvement. However, the usability and perceived value of these devices by consumers remain insufficiently understood. Purpose: This study aimed to explore adults’ perceptions of OTC hearing aids following direct and structured use and identify factors that influence perceived ease of use, usefulness, and usability-related barriers as framed by the technology acceptance model. Research Design: A qualitative descriptive design that incorporated semi-structured interviews conducted immediately after a hands-on device use task was completed. Study Sample: Seventy-eight adults 55 years of age and older with self-identified mild to moderate hearing loss were recruited through community outreach. Eligibility was based on age and self-reported hearing status. Intervention: Participants used commercially available OTC hearing aids to complete a standardized 10-step device management task prior to being interviewed. Data Collection and Analysis: Data were collected through audio-recorded, semi-structured interviews conducted immediately after the device use task. Transcripts were analyzed thematically using a hybrid inductive-deductive approach informed by the technology acceptance model. Results: The following six major themes emerged: setup and operational barriers; support preferences; usability expectations and confidence; perceived device performance; shifts in knowledge and understanding; and user-centered design suggestions. Participants frequently reported difficulties with device setup and handling, uncertainty about performance, and a desire for support. User expectations, confidence, and information gaps significantly influenced their intention to use OTC devices. Conclusions: Although OTC hearing aids offer greater accessibility, successful adoption requires more than cost reduction. Users’ perceived support needs, self-efficacy, and alignment between expectations and device performance play a critical role. Facilitating confident use through improved instructions and accessible support may enhance uptake. These findings emphasize the role of expectation–outcome alignment (i.e., disconfirmation) in shaping satisfaction. Clinical Relevance: Clinicians should anticipate increased patient interest in OTC hearing aids, and they should be prepared to address usability concerns. Supporting patient education and expectation management may improve satisfaction and long-term outcomes outside traditional service delivery models.

Background: Hearing loss is prevalent among older adults, yet hearing aid uptake remains low. The recent introduction of over-the-counter (OTC) hearing aids by the U.S. Food and Drug Administration aims to improve accessibility by removing the requirement for professional involvement. However, the usability and perceived value of these devices by consumers remain insufficiently understood. Purpose: This study aimed to explore adults’ perceptions of OTC hearing aids following direct and structured use and identify factors that influence perceived ease of use, usefulness, and usability-related barriers as framed by the technology acceptance model. Research Design: A qualitative descriptive design that incorporated semi-structured interviews conducted immediately after a hands-on device use task was completed. Study Sample: Seventy-eight adults 55 years of age and older with self-identified mild to moderate hearing loss were recruited through community outreach. Eligibility was based on age and self-reported hearing status. Intervention: Participants used commercially available OTC hearing aids to complete a standardized 10-step device management task prior to being interviewed. Data Collection and Analysis: Data were collected through audio-recorded, semi-structured interviews conducted immediately after the device use task. Transcripts were analyzed thematically using a hybrid inductive-deductive approach informed by the technology acceptance model. Results: The following six major themes emerged: setup and operational barriers; support preferences; usability expectations and confidence; perceived device performance; shifts in knowledge and understanding; and user-centered design suggestions. Participants frequently reported difficulties with device setup and handling, uncertainty about performance, and a desire for support. User expectations, confidence, and information gaps significantly influenced their intention to use OTC devices. Conclusions: Although OTC hearing aids offer greater accessibility, successful adoption requires more than cost reduction. Users’ perceived support needs, self-efficacy, and alignment between expectations and device performance play a critical role. Facilitating confident use through improved instructions and accessible support may enhance uptake. These findings emphasize the role of expectation–outcome alignment (i.e., disconfirmation) in shaping satisfaction. Clinical Relevance: Clinicians should anticipate increased patient interest in OTC hearing aids, and they should be prepared to address usability concerns. Supporting patient education and expectation management may improve satisfaction and long-term outcomes outside traditional service delivery models.

Purpose This study aims to explore how AI adoption and trust shape customer satisfaction in digital banking, emphasizing the mediating roles of behavioral intention and AI adoption. It seeks to understand how service quality and technology perceptions influence customer experiences in a digital environment. Design/methodology/approach A quantitative approach was adopted using data from 385 digital banking users. The measurement and structural models were analyzed using partial least squares structural equation modeling (PLS-SEM) in SmartPLS 4, with 5,000 bootstrap resamples to test significance. Findings Findings reveal that perceived usefulness, behavioral intention and AI adoption strongly enhance customer satisfaction. Behavioral intention mediates ease of use, usefulness and trust, while AI adoption links reliability, responsiveness and usefulness, emphasizing that trust and AI engagement together elevate digital satisfaction. Originality/value By integrating SERVQUAL and technology acceptance model, this study advances understanding of AI-driven service experiences, offering practical guidance for customer-centric digital banking strategies.

This study introduces a blockchain-based system for digital identification and verification of educational documents in Pakistan. The solution tackles ongoing issues like document fraud, slow manual verification, lack of transparency, and poor interoperability among institutions. The system uses the Ethereum blockchain for smart contracts as well as IPFS for decentralized storage to provide secure, tamper-proof, and highly efficient access to academic records. A prototype with a simple web interface that was user-friendly was designed for students, institutions, and recruiters. The questionnaire USE was used to assess usability and 204 respondents claimed to have high satisfaction with ease of use, learnability, usefulness, and overall experience. The system not only saves the organizations of the administrative overhead but also inspires stakeholders to trust digital means and at the same time, the paperless process of environmental exposure ultimately leads to sustainability. By making use of the most up-to-date technology, it deals with historic issues in the educational systems. The findings of the study underscore the potential of the blockchain in the transformation of educational document verification in least developed areas whereby global academic ecosystems can scale up become transparent, affordable, and reliable.

This study examines the factors influencing end users’ intention to use mobile government applications (MGAs) in Qatar through a regression-based path analytic approach. Drawing on the Technology Acceptance Model (TAM) and incorporating System Quality from the DeLone and McLean IS Success Model, the research investigates key determinants of MGA adoption. Data were collected from a quantitative survey administered to 1,872 participants, including 1,025 Qatari nationals and 847 white-collar expatriates. The questionnaire, developed from a comprehensive literature review, was validated using exploratory factor analysis to confirm construct structure and reliability. Composite scores representing each latent construct were then analyzed using regression-based path analysis to estimate associations among variables. The findings reveal that System Quality, Perceived Ease of Use, and Perceived Usefulness significantly influence the intention to use MGAs, while demographic characteristics also show meaningful associations. These results offer valuable insights for policymakers aiming to enhance MGA adoption by improving system quality and strengthening user perceptions of ease of use and usefulness. By integrating TAM with system quality within a regression-based analytic framework, this study contributes to a more comprehensive understanding of digital government adoption in Qatar and offers a rigorous yet practical model for future research and implementation.

This study aimed to evaluate the effectiveness of a web-based Virtual Communication Laboratory, which was developed to include informative content, interactive exercises, and animated practice videos, on nursing students' therapeutic and nontherapeutic communication skills. This quasi-experimental study was conducted with 39 fourth-year nursing students from a public university in Türkiye who were enrolled in a 14-week clinical mental health nursing internship. Students used the Virtual Communication Laboratory in the eighth week. The Therapeutic Communication Skills Scale for Nursing Students was administered in the 7th (pretest) and 14th (posttest) weeks. The scale assessed students' self-reported frequency of using specific communication techniques during clinical practice. Mean scores improved from 18.66 to 14.02 for Nontherapeutic Communication Skills, from 28.17 to 34.02 for Therapeutic Communication Skills I, and from 17.92 to 19.46 for Therapeutic Communication Skills II (all P <.001). Students rated the platform highly for ease of use and usefulness, and reported that it facilitated reflection and aligned with clinical scenarios. The Virtual Communication Laboratory offers a user-friendly and engaging learning experience that supports the development of therapeutic communication skills. Given the growing importance of blended learning environments, these findings suggest its potential as a valuable complementary tool in nursing education.

AI-based computer-aided diagnosis (AI-CAD) systems are transforming medical imaging by augmenting clinicians in disease identification and diagnosis. Nonetheless, little is known about how individual differences, particularly clinicians’ expertise, affect their perception, trust, and adoption of such systems. Guided by the Elaborated Likelihood Model (ELM), this study systematically compared Task Experts (TEs; retina specialists; n = 38) and Task Non-Experts (TNs; general ophthalmologists; n = 23). TNs reported higher scores than TEs across all adoption metrics, including perceived accuracy, interpretability, credibility, ease of use, usefulness, and intention to use. For further investigation of underlying cognitive processes, PLS-SEM was conducted. It revealed that perceived usefulness was the sole direct predictor of intention to use in both groups, yet its antecedents differed by expertise. Perceived accuracy and interpretability strongly influenced TEs, reflecting central-route processing, whereas AI optimism shaped TNs’ attitude, reflecting peripheral-route processing. These findings highlight the need for considering clinicians’ expertise levels in AI-CAD design.

BIM Adoption in firms and projects requires considerable changes in design and construction processes. There has been ongoing research on exploring the drivers and barriers to BIM adoption. BIM Tools can be defined as all software tools and applications that can input information into/acquire information from semantically rich digital 3D building models, also known as Building Information Models (BIM). The aim of this study was to identify the impact of demographic, social, education-related, previous training-related, and profession-related factors on the perception of the ease of use and usefulness of BIM Tools for students and early career professionals. The main question of the research was defined as follows: “What factors influence the perception of the ease of use and usefulness of BIM tools for students and early career professionals?” The study involved a questionnaire survey with 227 participants to measure the impact of eleven different factors on the perception of the ease of use and usefulness of these tools. The findings suggest that both the perceived ease of use and perceived usefulness of BIM Tools are mostly stable and not substantially affected by most of the external factors. Among the factors that can influence the perceived ease of use and perceived usefulness, Participation in a BIM Certification Training Program appeared to be the factor with the strongest influence, as it had a significant influence on both dimensions. Factors with weaker influence included Age Group, Gender, Being a Student or Not, Computing Habits, and Gaming Habits. The other five factors investigated appeared to have no influence on either dimension.

Purpose: This study investigates the factors that influence accountants’ readiness to adopt artificial intelligence (AI) technologies in their professional practice, with a particular focus on the roles of technology anxiety, AI experience, and professional experience within an extended Technology Acceptance Model (TAM) framework. Methodology/approach: A survey was conducted among 72 chief accountants and accounting professionals in Polish industrial enterprises. The research employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to test hypotheses regarding the relationships between perceived usefulness, perceived ease of use, attitude toward AI, anxiety, experience factors, and behavioral intention to adopt AI. Findings: The results confirm that perceived usefulness and ease of use significantly influence attitudes toward AI adoption. Technology anxiety emerges as a significant barrier, negatively affecting attitudes toward AI use. Prior AI experience positively influences both perceived ease of use and usefulness, while firm-specific experience shows no significant effect on perceived usefulness. Research limitations/implications: The study’s sample size and cross-sectional na-ture limit generalizability. Future research should employ longitudinal designs with larger, more diverse samples to validate these relationships across different contexts and track how perceptions evolve over time. Originality/value: This research contributes to the literature by integrating anxiety and experience factors into the TAM framework, specifically for AI adoption in accounting. The findings provide practical insights for organizations seeking to facilitate AI implementation by addressing psychological barriers and leveraging experience-based factors.

Despite the growing use of mobile applications in healthcare, few tools for children comprehensively support the entire nutritional care process. Novel technologies have been shown to encourage healthcare teams to initiate nutritional management and reduce the workload of nutrition support teams. This study aimed to assess the feasibility and initial impact of the iNutri application, compare its time efficiency for nutritional management with that of the conventional method, and assess user satisfaction and comfort. The iNutri application, a comprehensive mobile platform for integrating nutritional assessment, management, and monitoring, was developed. In a prospective pilot study, pediatric residents, as members of the nutritional care team, used iNutri as a tool within the conventional nutritional care process for hospitalized children with malnutrition. The time to achieve the target energy and protein intakes, and the length of hospital stay were assessed. A structured satisfaction survey with a 5-point Likert scale was used to assess user feedback. User feedback on time efficiency, satisfaction, and comfort was analyzed. Sixty pediatric inpatients with malnutrition were included, with 14 achieving early nutrient requirements. Shorter hospital stays were observed in the early target achievement group (p = 0.003). Compared with the conventional method, the application was associated with a significant reduction in the time required for the nutritional care process by 16min (p < 0.001). Positive feedback was received regarding the ease of using iNutri (4.4/5), the comprehensiveness of nutritional details (4.2/5), confidence in performing 24-hour dietary recall (4.1/5), initiating enteral or parenteral nutrition (4/5), and mastery in managing the nutritional care process (4/5). The iNutri application suggests the potential to improve the efficiency of nutritional care for pediatric inpatients with malnutrition, demonstrating an observed reduction in the time required for the nutritional care process. Positive feedback emphasized its ease of usability and effectiveness. Early achievement of target nutrient intake may be associated with shorter hospital stays. These findings are valuable for informing the design of future, large-scale randomized controlled trials. Thai Clinical Trials Registry TCTR20220319001. Registered 18 March 2022.

This study explores the use of virtual reality (VR) as a training tool for employees in a real industrial setting, within the framework of Industry 5.0. Employing a mixed-methods approach, it integrates quantitative data (execution times, errors, emotional responses) with qualitative thematic analysis of interviews to examine the impact of VR on employee performance, emotional experience, and attitudes. The findings indicate high task performance, positive emotional engagement, and strong immersion, with intrinsic motivation emerging even among participants who did not voluntarily opt into the training. The thematic analysis identified six key dimensions: ease of use, enjoyment, immersion, satisfaction, usefulness, and intrinsic motivation. Age-related differences were observed regarding expectations and evaluation criteria. Overall, the study concludes that VR can be effectively integrated into human resource development strategies as a means to enhance employee experience, learning, and productivity-provided it is designed with close attention to users’ needs and profiles.

Color vision deficiency (CVD) affects learning outcomes, career opportunities, and daily life, but early screening in Vietnam remains limited. This study introduces an Android-based mobile health (mHealth) application for CVD screening, integrated with an artificial intelligence (AI) module for career guidance. The app was deployed with 527 high school students in Da Nang and validated against standard printed Ishihara plates. Results showed complete agreement with the traditional test, faster screening time, and positive feedback on ease of use and usefulness. The majority of students rated the CVD simulation and career guidance functions as valuable. This research contributes by (1) validating a CVD mHealth tool on a large student population in real educational settings, (2) integrating AI to link health screening with career orientation, and (3) demonstrating a cost-effective, scalable digital solution that supports both school health programs and personalized career counseling. The findings emphasize the role of engineering innovations in enhancing education and health support for students.

This study explores the key factors influencing the adoption of E-learning systems among undergraduate students in Saudi Arabia by extending the Technology Acceptance Model (TAM) with multi-level external variables. These include individual-level factors (self-efficacy, enjoyment, computer anxiety), cultural-level (subjective norms, experience), and system-level (content quality). Furthermore, the study examines the moderating effect of accessibility on the relationships between perceived usefulness, perceived ease of use, and intention to use Blackboard as a representative E-learning platform. Data collected from 400 undergraduate students at Shaqra University and analyzed using PLS-SEM. The findings indicated that self-efficacy significantly predicts perceived ease of use but not perceived usefulness. Subjective norms positively influenced only perceived usefulness. Enjoyment and experience positively affected both perceived ease of use and usefulness, while computer anxiety negatively impacts ease of use alone. Content quality demonstrates a strong positive effect on both core TAM constructs. Accessibility moderates the relationship between ease of use and intention to use Blackboard. Aligned with Saudi Vision 2030’s educational goals, these findings highlight the importance of digital infrastructure, skill development, and inclusive access in shaping students’ adoption of E-learning technologies.

ABSTRACT Artificial Intelligence (AI) is increasingly embedded in secondary education, yet its impact on high school students and teachers remains underexplored. This study employed a sequential explanatory mixed-methods design to investigate AI adoption, attitudes, and concerns among 545 students and 24 teachers in Kashmir, India. Quantitative results, grounded in the Technology Acceptance Model and Sociocultural Learning Theory, showed that sociocultural and self-perceived learning emerged as the strongest predictors of positive attitudes, followed by ease of use and usefulness, while ethical concerns had a minor negative influence. Qualitative interviews revealed optimism about AI’s potential but highlighted risks related to plagiarism, over-reliance, and assessment authenticity. Findings point to the need for AI literacy, ethical training, and clear institutional policies to guide responsible integration. This study contributes one of the first comprehensive accounts of adolescent and teacher perspectives on AI in high school learning, offering evidence-based recommendations for pedagogy and policy.

Artificial Intelligence generated content (AIGC) is rapidly reshaping higher education. Guided by the Technology Acceptance Model (TAM), this study examines how perceived ease of use (PEOU) and perceived usefulness (PU) predict Chinese faculty members’ AIGC use behaviour, with perceived self-efficacy (PSE) and institutional support (IS) modelled as external variables. Survey data from 295 faculty members was analysed and structural equation modelling was employed to test the hypothesized relationships. The results reveal that both PEOU and PU are critical predictors of AIGC adoption, while PSE and IS significantly enhance faculty perceptions of ease of use and usefulness, thereby facilitating actual usage behaviour. The model accounted for 55.2% of the variance in AIGC adoption. Furthermore, gender differences emerged as a significant moderating factor, where female faculty members were more strongly influenced by PEOU, whereas male faculty members with PU. These findings highlight the importance of strengthening faculty confidence and digital competence through differentiated training and institutional support mechanisms. The study extends TAM in an AIGC context and offers practical guidance for inclusive AIGC adoption strategies in higher education.

Purpose Within the sports industry, fan tokens have appeared as an instrument for fostering fan engagement and empowering them to participate in club-related decision-making processes via voting mechanisms (e.g. voting rights in decisions like the design of the equipment or the bus, and the ability to win rewards such as VIP experiences with the players). Design/methodology/approach Drawing on the technology acceptance model and consumer behaviour theories, a conceptual model was established to analyse the relationship of perceived ease of use, usefulness, and financial value, brand love, brand engagement, trust, social influence and its influence on the intention to purchase fan tokens. This study also analyses the generation of positive electronic word-of-mouth (e-WOM) derived from the intention to purchase fan tokens. To achieve the proposed objective, a quantitative study was conducted, collecting data through an online survey from football fans with an interest in fan tokens. The conceptual model was analysed using partial least squares (PLS) structural equation modelling (SEM). Findings Results show that the financial perceived value was the dimension that most contributed to explaining the purchase intention. It was also found that perceived ease of use, trust in fan tokens and brand engagement positively influence the intention to buy fan tokens. Furthermore, findings demonstrate that purchase intention positively drives e-WOM, highlighting that fans' behavioural intentions extend beyond adoption to active digital advocacy. Originality/value Results offer effective insights for both researchers and sports practitioners, while also presenting an original conceptual model applicable to diverse sports contexts and crypto assets-related research.