Previous Literature Research Articles

A new method to perform lithium-ion battery pack fault diagnostics – Part 2: the algorithm performance in real-world scenarios and cell-to-cell transferability

The last decade has witnessed significant progress towards zero-emission electric aviation. Lithium-ion batteries are at the centre of this technological transformation. However, electric flight requires suitable considerations for safety concerns associated with Lithium-ion batteries. Fault diagnostic approaches aimed at validating the safety of batteries before every flight have emerged as an attractive prospect. In this pursuit, a three-paper series proposing a novel fault diagnosis algorithm is presented. The algorithm is capable of diagnosing faults in an aircraft battery using the data collected during charging and was previously validated for a particular cell type under steady charging conditions. In this paper, two extensional aspects of the algorithm are investigated: cell-to-cell transferability and disparate charging conditions. While crucial for practical implementation, these aspects were overlooked in previous literature. Through experiments conducted at module-level, it was revealed that the algorithm could diagnose faults for a different cell type with minimal preliminary cell-level characterisation, thus demonstrating its ease of transferability. Moreover, modifications introduced in the algorithm enabled it to perform fault diagnosis under unsteady charging conditions for an aerospace module despite significant internal temperature gradients. Thus, the successful working of the algorithm in the considered aspects, which are unprecedented in literature, prove its feasibility for real-life application.

Prevalence of Visual Impairment in Children with Autism Spectrum Disorder: A Mini Review

The association between Visual Impairment (VI) and Autism Spectrum Disorder (ASD) remains an important research topic among children suffering from developmental delays and disabilities. The objective of this mini review was to evaluate previous literature on prevalence and etiology of visual impairment, frequency of visual impairment and types of refractive errors associated with autism in children. Previous researches on ASD found that the visual impairment is one of the major factors in autistic children. Hence measurement of vision screening in autism disorder is necessary for better explanation of the problem. The etiologies of visual impairment in autistic children were associated with refractive error and strabismus. Identification of refractive error in ASD children and providing them suitable corrective lenses may improve their visual functions and help in their daily activities. With these findings in mind, there is an urgent need to investigate further in this area and developed more detailed research. The findings would help optometrist, ophthalmologist in understanding types of visual impairment in autism school children.

Fourier-Based Vibration Model of Electrical Machines Considering Nonideal Orthogonality Between Electromagnetic Forces and Structural Modes

This paper proposes a Fourier-based model of vibration synthesis, improving both precision and speed. For the first time, the nonideal orthogonality between electromagnetic (EM) forces and structural modes is theoretically proposed and modelled by spatial harmonics. Different from the discrete vectors used in previous literature, the proposed method achieves a one-dimension (1-D) continuous model of EM forces and modes. On the basis, the vectors of modes and forces on tooth surfaces are decomposed by fast Fourier transform (FFT), so that the vibration response is synthesized based on Fourier coefficients. Further, the proposed model is applied to a 12-slot/10-pole (12s/10p) interior permanent-magnet (IPM) machine. The spatial harmonics of mode vectors are elaborated to identify the key orders of EM forces before the vibration response is completed. Then, the proposed model is compared with the coupled-field finite element analysis (FEA). The advantages are verified in terms of computational accuracy, speed, and sensitivity to mesh quality. Finally, the feasibility of the proposed model is verified by both coupled-field finite element analysis (FEA) and experiment.

Mapping the literature of social network ties in business and management field: A bibliometric study

In recent years, academics have focused increasingly on social network connections across different organisations. Social networking for businesses is a topic that crosses many disciplines, including social sciences, computer science, engineering, management, education, sociology, and psychology, so it's no surprise that definitions, methods, and approaches to social networks are constantly debated. Based on a data set of 3466 publications from the Scopus database, the goal of this study is to map the previous literature on social network ties of organisations to the business and management area. The data set was taken from the Scopus database to investigate the main authors, the number of publications, the most influential journals, the most used keywords and the top productive institutions and countries. The goal of this study is to map the previous literature on the social network ties of organisations to the business and management area. The most influential publications, authors, journals, and keywords are thus identified using four methods of bibliographic analysis, as follows: bibliographic coupling, analysis of co-occurrence of authors' keywords, and analysis of co-authorship (a) countries and (b) authors. According to the study’s findings, the USA is the most prolific country, having over 900 publications in the past five years, followed by China and the UK. The publication trend has increased over the last 5 years in the business and management field and will keep increasing because of the growing interest of researchers and practitioners in the given field. Knowledge-based systems are found to be the top productive journal and Hong Kong Polytechnic University is the most influential institution with the highest number of publications.

Temporal, spectral and amplitude characteristics of the Greek fricative /s/ in hearing-impaired and normal-hearing speech

ABSTRACT Fricatives, and especially sibilants, are very frequently misarticulated by speakers with hearing loss. Misarticulations can result in phonemic contrast weakening or loss, compromising intelligibility. The present study focuses on the examination of acoustic characteristics of the Greek alveolar fricative /s/, an articulatorily demanding sound, produced by young adult speakers with profound hearing impairment and with normal hearing. An array of variables was examined using mixed-effects and random forest models aiming to assess the effectiveness of various measures in differentiating hearing-impaired and normal-hearing /s/ production. Significant differences were found in spectral and amplitude measures, but not in temporal measures. In hearing-impaired speech, spectral slope and RMS amplitude had significantly lower values, indicating a more distributed spectrum, suggestive of decreased flow velocity through the fricative constriction. Also, a trend for concentration of energy at lower frequencies was observed suggesting more posterior fricative articulation than normal. Moreover, measures capturing the variation of frequency and amplitude over time revealed different patterns of sibilance development across time than normal, denoting the production of a less well-formed or less sibilant /s/ by speakers with hearing impairment. The investigation of contextual effects on /s/ in hearing-impaired speech showed increased spectral variance, negative skewness and lower kurtosis in the labial (rounded) context /u/ in relation to the nonlabial contexts /i/ and /a/, indicating a more diffuse, less compact spectrum with concentration at high frequencies. Findings are discussed in relation to previous literature on fricative production by speakers with hearing impairment and normal hearing in Greek and other languages.

Examining perceptions and outcomes of AI versus human course assistant discussions in the online classroom

ABSTRACT As technologies such as artificial intelligence (AI) and other forms of machine communication become more popular and readily available, the opportunities for use in an online class increase. This replication and extension sought to understand and test the use of AI versus human communication in an online learning space—specifically the learning management system (LMS) discussion board. More specifically, the differences in student perceptions and outcomes between those with a human course assistant and those assigned to an AI course assistant were examined. These perceptions were studied through the presence and absence of the identity heuristic and helper heuristic as outlined in previous literature. The study employed a four-condition randomized quasiexperimental design. Outcomes of interest included credibility, task attraction, social attraction, computer-mediated competence, student communication satisfaction, affect toward instructor, and affect toward taking classes with the instructor. Findings supported previous work regarding importance of helper heuristics and highlighted the preference for a human over AI/machine educational agent.

Design and Control of Ultrasound Image-guided Prostatic Brachytherapy Robot

Background:: With the continuous development of medical robots, they have become a powerful tool for surgery and treatment. A prostate brachytherapy robot is a kind of robot widely used in prostate cancer treatment; its main function is to accurately implant radioactive seeds into prostate tissue to kill cancer cells. Using prostate brachytherapy robots for surgery can reduce damage to surrounding tissue during surgery, thereby reducing the risk of external electrolysis and metastasis of tumor cells. Objective:: This study aimed to design a prostate brachytherapy robot that is more in line with practical usage needs, based on the method of manually performing prostate brachytherapy surgery in clinical practice. Finally, its feasibility has been demonstrated through brachytherapy experiments. Methods:: Firstly, the actual requirements for prostate particle implantation surgery have been analyzed, which has been followed by reviewing previous literature and patents to determine the design scheme of the robot. Finally, SOLIDWORKS software has been used for mechanical design of the robot, and the control system of the robot has been designed based on Arduino. Results:: A robotic arm type prostate particle implantation robot has been successfully designed. We have installed a visual module on the prostate particle implantation robot, which has enabled the robot system to have image transmission monitoring function to assist in the calibration of the puncture position before surgery. Finally, we have employed other sensors to complete the particle implantation experiment, and successfully confirmed its superiority through comparing errors. Conclusion:: This work has analyzed and studied the clinical process of prostate particle implantation surgery, and designed a prostate particle implantation robot, including the mechanical design and control system design of the robot. We have also simulated the scene of prostate particle implantation surgery in the human body through particle implantation experiments, and successfully and accurately implanted radioactive particles to the target. The experimental results have proven the feasibility of the robot. We have made improvements in execution efficiency by using a parallelogram-based robotic arm as the representation of the prostate particle implantation robot and equipped it with a visual module. The visual module collects a video stream of the puncture needle's perspective and provides feedback to the control end to assist in the calibration of the puncture position before surgery, greatly reducing the probability of secondary injury to patients.

The compact multi-planet system GJ 9827 revisited with ESPRESSO

GJ 9827 is a bright, nearby K7V star orbited by two super-Earths and one mini-Neptune on close-in orbits. The system was first discovered using K2 data and then further characterized by other spectroscopic and photometric instruments. Previous literature studies provide several mass measurements for the three planets, however, with large variations and uncertainties. To better constrain the planetary masses, we added high-precision radial velocity measurements from ESPRESSO to published datasets from HARPS, HARPS-N, and HIRES and we performed a Gaussian process analysis combining radial velocity and photometric datasets from K2 and TESS. This method allowed us to model the stellar activity signal and derive precise planetary parameters. We determined planetary masses of Mb = 4.28−0.33+0.35 M⊕, Mc = 1.86−0.39+0.37 M⊕, and Md = 3.02−0.57+0.58 M⊕, and orbital periods of 1.208974 ± 0.000001 days for planet b, 3.648103−0.000010+0.000013 days for planet c, and 6.201812 ± 0.000009 days for planet d. We compared our results to literature values and found that our derived uncertainties for the planetary mass, period, and radial velocity amplitude are smaller than the previously determined uncertainties. We modeled the interior composition of the three planets using the machine-learning-based tool ExoMDN and conclude that GJ 9827 b and c have an Earth-like composition, whereas GJ 9827 d has an hydrogen envelope, which, together with its density, places it in the mini-Neptune regime.

Birth Spacing and Parents' Physical and Mental Health: An Analysis Using Individual and Sibling Fixed Effects.

An extensive literature has examined the relationship between birth spacing and subsequent health outcomes for parents, particularly for mothers. However, this research has drawn almost exclusively on observational research designs, and almost all studies have been limited to adjusting for observable factors that could confound the relationship between birth spacing and health outcomes. In this study, we use Norwegian register data to examine the relationship between birth spacing and the number of general practitioner consultations for mothers' and fathers' physical and mental health concerns immediately after childbirth (1-5 and 6-11 months after childbirth), in the medium term (5-6 years after childbearing), and in the long term (10-11 years after childbearing). To examine short-term health outcomes, we estimate individual fixed-effects models: we hold constant factors that could influence parents' birth spacing behavior and their health, comparing health outcomes after different births to the same parent. We apply sibling fixed effects in our analysis of medium- and long-term outcomes, holding constant mothers' and fathers' family backgrounds. The results from our analyses that do not apply individual or sibling fixed effects are consistent with much of the previous literature: shorter and longer birth intervals are associated with worse health outcomes than birth intervals of approximately 2-3 years. Estimates from individual fixed-effects models suggest that particularly short intervals have a modest negative effect on maternal mental health in the short term, with more ambiguous evidence that particularly short or long intervals might modestly influence short-, medium-, and long-term physical health outcomes. Overall, these results are consistent with small to negligible effects of birth spacing behavior on (non-pregnancy-related) parental health outcomes.

Recent Advances in Piezocatalysts for Dye Degradation

AbstractPiezocatalysis is attracting extensive attention in recent years because it can directly convert mechanical energy from the ambient environment (such as tiny vibrations and noise) into piezopotential for catalytic activities. Dyes are widely used in diverse industries, including paper, printing, and textiles, which cause serious environmental problems due to their persistence and toxicity. Unlike traditional catalysts that rely on chemical reactions to drive dye degradation, piezocatalysts offer a sustainable and cost‐effective alternative to breaking down complex molecules through creating highly reactive species, which have shown a significant promise in the treatment of organic pollutants in wastewater. In this review, the basic principles of piezocatalysis are first outlined, specifically describing two ubiquitous forms of driving force in nature. Following the catalytic mechanism, the current mainstream piezocatalytic materials are classified into two categories: organic and inorganic materials with detailed discussions. Moreover, after investigating and analyzing previous literature, effective strategies for improving piezocatalytic efficiency for dye degradation are systematically compared and summarized. In the end, current issues that need to be addressed in the future as well as potential research directions related to piezocatalysis are prospected. This work provides an insight into solving current issues to advance the piezocatalysts.

A Meta-Analysis to Revisit the Property-Aggregation Relationships of Carbon Nanomaterials: Experimental Observations versus Predictions of the DLVO Theory.

Contradicting relationships between physicochemical properties of nanomaterials (e.g., size and ζ-potential) and their aggregation behavior have been constantly reported in previous literature, and such contradictions deviate from the predictions of the classic Derjaguin-Landau-Verwey-Overbeek (DLVO) theory. To resolve such controversies, in this work, we employed a meta-analytic approach to synthesize the data from 46 individual studies reporting the critical coagulation concentration (CCC) of two carbon nanomaterials, namely, graphene oxide (GO) and carbon nanotube (CNT). The correlations between CCC and material physicochemical properties (i.e., size, ζ-potential, and surface functionalities) were examined and compared to the theoretical predictions. Results showed that the CCC of electrostatically stabilized carbon nanomaterials increased with decreasing nanomaterial size when their hydrodynamic sizes were smaller than ca. 200 nm. This is qualitatively consistent with the prediction of the DLVO theory but with a smaller threshold size than the predicted 2 μm. Above the threshold size, the material ζ-potential can be correlated to CCC for nanomaterials with moderate/low surface charge, in agreement with the DLVO theory. The correlation was not observed for highly charged nanomaterials because of their underestimated surface potential by the ζ-potential. Furthermore, a correlation between the C/O ratio and CCC was observed, where a lower C/O ratio resulted in a higher CCC. Overall, our findings rationalized the inconsistency between experimental observation and theoretical prediction and provided essential insights into the aggregation behavior of nanomaterials in water, which could facilitate their rational design.

The Implementation of Digital Entrepreneurship Learning in Higher Education: A Systematic Literature Review

The phenomenon and topic of digital entrepreneurship learning remain popular for analysis in the era of digitization. Previous literature reviews discussed the context and concept of digital entrepreneurship only. This article presents a literature review aimed at facilitating the search for research publications on digital entrepreneurship, in order to understand the track record, learning models, the impact of implementing digital entrepreneurship learning, and future research opportunities. The article has used the Systematic Literature Review (SLR) method using the Scopus database. This article has used "digital entrepreneurship" keyword for search the resources in January 2014 to May 2023 period. The result of the literature screening process yielded 19 relevant journals. The results of the literature review indicate that research on this topic has shown a significant increase and has the potential to continue to grow. Digital entrepreneurship learning can be designed using experiential learning approaches or the Internet of Things (IoT) and technology approaches. The implementation gives an impact on business opportunities, entrepreneurial intention, innovation, entrepreneurial attitude, and student problem-solving. This study contributes to providing an overview of learning models that can be replicated or modified in future research.
 Highlights:
 
 Growing research on digital entrepreneurship education; impactful learning approaches identified.
 Experiential and IoT-based methods enhance digital entrepreneurship learning outcomes.
 Positive impact on business opportunities, innovation, and entrepreneurial skills observed.
 
 Keywords: Digital Entrepreneurship, Entrepreneurship Learning, Learning Model

Multi-Criteria Analysis of Selection Waste Management Development Strategy for Lubuk Binjai Landfill in Lubuk Linggau City

Environmental sustainability is an urgent priority in dealing with waste management problems in Indonesian cities, one of which is Lubuk Linggau City. In the 2012-2032 Lubuk Linggau City RTRW, waste management standards have been set using the Controlled Landfill or Sanitary Landfill method, but in reality the Lubuk Binjai landfillstill adopts the Open Dumping method. This waste management not in accordance with environmentally sound waste management methods, so it is necessary to develop a waste management strategy for the Binjai Landfill. This research aims to identify priority strategies that can be applied in developing landfill waste management in Lubuk Linggau City using the Analytical Hierarchy Process (AHP) method. Data collection was carried out by conducting interviews with key informants who were managers of the Lubuk Binjai waste disposal site. Determination of criteria and sub-criteria based on previous literature studies and determination of alternative strategies based on the Lubuk Linggau City RTRW for 2021-2032. From the results of the analysis, it shows that the prioritized strategy is the Strategy for Improving Waste Management Methods & Technology, with alternatives such as recycling processing, compost, and more sophisticated waste management technology such as controlled burning or anaerobic management. This is appropriate and crucial in overcoming problems at the Lubuk Binjai waste disposal site, that the Open Dumping method is still applied. It is hoped that the implementation of this strategy can bring positive and sustainable changes in waste management in Lubuk Linggau City.

NAVIGATING THE COUNTERTRANSFERENCE EXPERIENCE: A TRANSTHEORETICAL SPECIFIST MODEL

AbstractThe attempt to identify and classify distinct experiences falling under the common designation of countertransference has been labelled the specifist tradition. In this paper, a model describing two dimensions differentiating four components of countertransference experience is proposed. For each experiential component (subjective countertransference, objective countertransference, therapeutic attitude and emerging experience), a brief description based on previous literature from diverse theoretical fields is offered, along with clinical implications and illustrations and an account of empirical literature explicitly or implicitly addressing the specific component. In conclusion, the model is presented as a heuristic guide that can serve different purposes across different therapeutic orientations, with valuable implications for practice, training and supervision.

Effects of the perceived temporal distance of events on mental time travel and on its underlying brain circuits.

Mental Time Travel (MTT) allows us to remember past events and imagine future ones. According to previous literature, the Temporal Distance of events affects MTT: our ability to order events worsens for close, compared to far, events. However, those studies established distances a-priori, albeit the way we perceive events' temporal distance may subjectively differ from their objective distance. Thus, in the current study, we aimed to investigate the effects of Perceived Temporal Distance (PTD) on the MTT ability and the brain areas mediating this process. Thirty-three healthy volunteers took part in an fMRI MTT task. Participants were asked to project themselves into the past, present, or future, and to judge a series of events as relative-past or relative-future, in relation to the adopted time location. Outside the scanner, participants provided PTD estimates for each stimulus of the MTT task. Participants' performance and functional activity were analyzed as a function of these estimations. At the behavioural level, PTD predicts the modulation of the performance for relative-past and relative-future. Bilateral angular gyrus, retrosplenial cortex, temporo-parietal region and medial, middle and superior frontal gyri mediate the PTD effect. In addition to these areas, the closer the relative-future events are perceived, the higher the involvement of left parahippocampal and lingual gyri and right cerebellum. Thus, perceived proximity of events activates frontal and posterior parietal areas, which therefore might mediate the processing of PTD in the cognitive spatial representation of time. Future proximity also activates cerebellum and medial temporal areas, known to be involved in imaginative and constructive cognitive functions.

Pediatric trauma volume fell during the initial COVID-19 wave but rebounded to new highs for the remainder of 2020.

Previous studies have shown a reduction in pediatric trauma volume during COVID-19, but many have looked at a limited number of facilities, analyzed a narrow timeframe, or both. The objective of this analysis was to assess the impact of COVID-19 on pediatric trauma volume for a statewide sample during 2020. Based on previous literature, researchers hypothesized a reduction in volume during the implementation of these policies. Retrospective cross-sectional analysis of five years (2016 - 2020) of Indiana's statewide trauma patient registry. Patients under age 15 were included. Those who were transfer patients or missing key data were excluded. In total, 10,926 patients were included in analysis. Baseline years (2016 - 2019) were compared to 2020 to estimate the impact of COVID-19 on pediatric trauma volume. Overall monthly volume of pediatric traumas were lower than baseline in March and April 2020 (though not significantly), but rebounded quickly and were above trend in the latter half of the year. Injury patterns differed in both mechanism and location from previous years. Gunshot wounds were more prevalent than previous years, while the volume of non-accidental traumas fell slightly. Injuries that occurred in private residences rose significantly, while fewer took place in schools. Results indicated an initial drop in injury volume consistent with previous findings, but these were offset by increased volume in the second half of 2020. The growth in gun violence is concerning and warrants additional research. Changes in behavior in response to the pandemic such as reduced participation in sports and use of playgrounds, reduced driving, and increased time at home help explain the changes observed in injury patterns. These findings emphasize the continued need for pediatric trauma care during the pandemic.

The Impact of Social Pressure on The Acceptability of Female Students' Dating Practices in Medan City

Objective: This research aims to determine the relationship between social pressure and the permissiveness of dating behavior of high school students in Medan City. This research also analyzes how much influence social pressure has on the permissiveness of dating behavior and analyzes the results based on the reality that occurs in society. Theoretical Framework: Many studies have been carried out regarding permissiveness from various points of view. However, there have not been many studies that specifically explore information related to social pressure as one of the causes of permissive teenage dating behavior. Method: This research uses a quantitative methodology, with linear regression model estimation and correlation analysis, using primary data obtained through questionnaires given to high school students in Medan City, Indonesia. Results and Discussion: The results of the study show that there is a strong relationship between social pressure and the permissiveness of adolescent dating behavior. This is proven by the correlation coefficient between the two variables, which is 0.698. Apart from that, social pressure has a positive influence on the permissiveness of teenagers' dating behavior. Research Implications: This research aims to prove the relationship and influence of social pressure on the permissiveness of adolescent dating behavior. The analysis carried out in this research was not only carried out mathematically but was also linked to theories that have been discussed in previous literature. Originality/Value: This research contributes to the literature by analyzing one of the factors that influence the permissiveness of adolescent behavior. The relevance and value of this research are proven by the testing of the assumption that social pressure is one of the factors causing permissive teenage dating behavior.

Sociolinguistic auto-coding has fairness problems too: measuring and mitigating bias

Abstract Sociolinguistics researchers can use sociolinguistic auto-coding (SLAC) to predict humans’ hand-codes of sociolinguistic data. While auto-coding promises opportunities for greater efficiency, like other computational methods there are inherent concerns about this method’s fairness – whether it generates equally valid predictions for different speaker groups. Unfairness would be problematic for sociolinguistic work given the central importance of correlating speaker groups to differences in variable usage. The current study examines SLAC fairness through the lens of gender fairness in auto-coding Southland New Zealand English non-prevocalic /r/. First, given that there are multiple, mutually incompatible definitions of machine learning fairness, I argue that fairness for SLAC is best captured by two definitions (overall accuracy equality and class accuracy equality) corresponding to three fairness metrics. Second, I empirically assess the extent to which SLAC is prone to unfairness; I find that a specific auto-coder described in previous literature performed poorly on all three fairness metrics. Third, to remedy these imbalances, I tested unfairness mitigation strategies on the same data; I find several strategies that reduced unfairness to virtually zero. I close by discussing what SLAC fairness means not just for auto-coding, but more broadly for how we conceptualize variation as an object of study.

Economic and non-economic determinants of renewable energy consumption (REC): evidence from BRICS nations

Purpose This study aims to identify the various economic and non-economic determinants of renewable energy consumption (REC) in Brazil, Russia, India, China and South Africa (BRICS). Due to the adverse effect of carbon emission on the environment, every country is trying for a transition from fossil fuel towards renewable energy. Renewable energy plays a crucial role in reducing carbon emission and combating climate change. Understanding the determinants that influence REC helps to promote this transition. Design/methodology/approach The study is based on an unbalanced panel data over the period 2002–2019 for all five BRICS nations. The panel corrected standard error (PCSE) method has been adopted to examine the determinants of REC. Findings Industrialization, population growth and foreign direct investment (FDI) are found to be significant economic determinants of REC while patent on environmental technologies, political instability and industrial design are significant non-economic determinants of REC in the BRICS nations. Research limitations/implications The findings imply that to increase REC in BRICS nations, policymakers should incentivize industries for investments in renewable energy, attract FDI aligned with environmental regulations, raise population awareness through training, enforce industrial design standards, establish fair technology transfer frameworks to overcome patent barriers and create stable, long-term renewable energy policies with risk mitigation instruments to address political instability. Originality/value The study captures the effect of patents on environmental technologies and industrial design on the consumption of renewable energy. Thus, the novelty lies in investigating unexplored variables in the previous literature likely to affect REC.

Maximizing the role of undergraduate teaching assistants (UTAs) to match signature pedagogies in leadership education

PurposeThe purpose of the current application paper is to integrate previous literature with recent results from practitioners on effective practices for utilizing small groups in the leadership classroom.Design/methodology/approachWe use these integrated findings to innovate practice on maximizing the role of undergraduate teaching assistants (UTAs) by matching their tasks to signature pedagogies in leadership education.FindingsThe integrated findings revealed three practice themes: (1) match UTAs to pedagogical approach, (2) create small groups by design and (3) providing training and reflection practice for UTAs.Originality/valueIn sum, leadership education can and should challenge historical practices in higher education whereby UTAs are used purely for grading and course logistics management.