Teenyyou University Starter Box Review

Teenyyou University Starter Box Review

Table of Contents

The “Teenyyou University Starter Box College Dorm Essentials for Girls Boys” is your ultimate back-to-school solution, thoughtfully curated to meet the varied needs of college students. This comprehensive kit includes a mesh shower caddy, a desk lamp with a USB charging port, a large capacity laundry basket, a hanging shoe shelf, space-saving hangers, a coffee mug, a ramen bowl set, and a transparent plastic storage box. Each item is designed to enhance dorm living by providing practical, space-saving solutions. Whether it’s a durable laundry basket with a soft grip handle or a convenient ramen bowl with side handles, each piece in this set is crafted to make college life more organized and comfortable. Ever wondered what essentials you really need for your college dorm? Moving away to university is an exciting adventure, but the preparation can be overwhelming. The “Teenyyou University Starter Box College Dorm Essentials for Girls Boys” aims to make this transition a breeze by providing a curated set of must-haves designed to meet the various needs of college life. Let’s break down what you’ll find inside this comprehensive starter pack.

Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers

Discover more about the Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers.

College Dorm Essentials: What’s Inside?

The Teenyyou University Starter Box contains eight indispensable items specially designed to make your dorm life more comfortable and organized. Let’s dive into what you’ll find inside.

Mesh Shower Caddy

Staying organized in a shared bathroom can be challenging. The mesh shower caddy features an array of well-placed side pockets perfect for holding your toiletries, such as sunscreen, face wash, shampoo, and more. Lightweight and easy to carry, it ensures you don’t leave any essentials behind in the communal bathrooms.

Small Desk Lamps with USB Charging Port

A good desk lamp is key to effective studying, and this one’s a beauty. Not only does it provide the right amount of light for late-night studying, but the integrated USB charging port is a game-changer. You can charge your phone, tablet, or other devices while you study, making it a dual-purpose item that saves desktop space.

Large Capacity Laundry Basket

Dirty clothes pile up faster than you’d think when you’re busy with classes, study sessions, and social outings. The large capacity laundry basket included is not just big (with a 90L capacity), but it also features a sturdy aluminum soft grip handle. This makes carrying it to and from the laundry room a lot more comfortable.

10-Tier Hanging Shoe Shelves

Keeping your dorm room tidy is easier with the 10-tier hanging shoe shelves. It’s perfect for organizing not just shoes but also small items like gloves, hats, and accessories. The vertical design saves so much floor space, an absolute must in cramped dorm rooms.

Five Black Space-Saving Hangers

Closet space in dorms can be pretty limited, but these space-saving hangers maximize it efficiently. The slim design ensures you can hang more clothes without taking up additional space.

12.8 Oz Coffee Mug

Whether you’re pulling an all-nighter or just need that morning jolt of caffeine, the 12.8-ounce coffee mug is your trusty companion. Its size is perfect for a substantial coffee fix.

Black Ramen Bowl Set with Chopsticks

College life often means quick, easy meals, and this black ramen bowl set is ideal for that. Equipped with side handles, it’s microwave-safe and easy to handle without burning your hands. The included chopsticks add a touch of elegance to those late-night ramen sessions.

Transparent Plastic Box

Need a place to store your odds and ends? The transparent plastic box (measuring 15.35 x 10.63 x 7.48 inches) is perfect for storing everything from stationery to snacks. Being see-through means you can easily locate whatever you need without a chaotic rummage.

Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers

AED331.6   In Stock

The Perfect Back to School Gift

The Ideal Freshman Kit

If you’re heading off to college for the first time or know someone who is, this starter box is a fantastic back-to-school gift. It’s practical yet thoughtful, ensuring the recipient has everything they need to start this new chapter smoothly. Plus, who wouldn’t appreciate a gift that combines functionality with convenience?

Versatile Uses

The items in the starter box aren’t just for students. Whether you’re preparing for dorm life or moving into your first apartment, these essentials are designed to enhance any living space. Parents and elders, this makes for a thoughtful goodbye gift that lets your college-bound loved ones know you care.

Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers

Learn more about the Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers here.

Dorm Essentials Organizer

Streamlined Living

Living in a dorm doesn’t have to mean living in chaos. The items included in this box are designed to help you make the most of limited space. The hanging shoe shelves, space-saving hangers, and transparent plastic box all work together to keep your room organized and tidy.

Enhances Your Residential Experience

Imagine being able to find everything you need without the frantic searching. Everything in this starter pack contributes to creating a more organized and therefore more relaxing living space. A well-organized dorm room can reduce stress and make focusing on your studies much easier.

Detailed Product Breakdown

Here’s a summary of what each product offers:

Item Features Usage
Mesh Shower Caddy Multiple side pockets Holds toiletries like shampoo, face wash, sunscreen
Small Desk Lamp with USB Charging Port Dual-purpose light & charging Provides light and charges electronics
Large Capacity Laundry Basket 90L capacity, soft grip handle Stores and carries dirty clothes comfortably
10-Tier Hanging Shoe Shelves Space-saving vertical design Organizes shoes, accessories, and small items
Five Black Space-Saving Hangers Slim design Maximizes closet space
12.8 Oz Coffee Mug Large size Perfect for coffee or tea
Black Ramen Bowl Set with Chopsticks Microwave-safe, side handles Easy to handle without burning your hands
Transparent Plastic Box Measures 15.35 x 10.63 x 7.48 inches Stores a variety of items for easy access

Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers

Enhance the Residential Experience

Vital for Dorm Life

Every item in this starter box was carefully selected to enhance your dorm life experience. From managing laundry to organizing study materials, these tools reduce the hassle of day-to-day dorm living. When every inch of space counts, having versatile, functional items can make a big difference.

Convenient and Lightweight

The thoughtfully chosen materials, such as the lightweight mesh for the shower caddy and the sturdy yet lightweight aluminum handle for the laundry basket, mean that carrying your essentials around campus is convenient and easy.

Why Teenyyou University Starter Box Stands Out

All-In-One Solution

One of the biggest perks of this starter box is that it includes multiple essential items, saving you the time and hassle of having to buy each product individually. This makes packing for college simpler and ensures you don’t forget any crucial items.

Thoughtful Design

Every product included in this starter box meets rigorous design standards to ensure functionality and durability. For instance, the side handles on the ramen bowl prevent burns, the USB desk lamp serves dual purposes, and the hanging shelves save floor space.

Value for Money

Buying all these essentials separately can quickly add up. The Teenyyou University Starter Box offers great value for the cost, providing high-quality items all in one convenient package.

Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers

Final Thoughts

Heading off to college is an exciting time, and having the right essentials can make the experience even more enjoyable. The “Teenyyou University Starter Box College Dorm Essentials for Girls Boys” is designed to provide you with everything you need to make your dorm feel like home. From the handy mesh shower caddy to the energy-saving desk lamp with a USB charging port, each item serves a unique purpose, contributing to a more organized and stress-free living space. With this starter box, you’re well on your way to a successful and enjoyable college life.

Get your own Teenyyou University Starter Box College Dorm Essentials for Girls Boys Back to School Gifts for College Students Apartment Essentials Shower Caddy Portable Desk Lamps Laundry Basket Closet Organizers today.

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University Essentials
University Essentials

About Me

With 25 years of experience in healthcare IT implementation, Emmanuel began his career at the University of Pittsburgh Medical Center, working as an assistant manager for a billing system implementation. Over the years, he has explored various aspects of the healthcare IT domain, successfully implementing several laboratory information systems and electronic medical record (EMR) systems, such as Cerner Millennium and Epic EMR.

In 2005, Emmanuel shifted his focus to public health, working on bio-surveillance implementation for the Centers for Disease Control and Prevention (CDC). He contributed to the BioSense Data Provisioning Project and performed extensive analysis of HL7 messages in hospitals and healthcare facilities. Additionally, Emmanuel requirements analysis for the CDC BioSense Analysis, Visualization and Reporting (AVR) project and played a key role in publishing the Situational Awareness updates to the BioSense System Requirements Specification (SRS).

Over the past 11 years, Emmanuel has worked in the Middle East, implementing the Epic EMR system at Cleveland Clinic Abu Dhabi. As a multidisciplinary team member, he has taken on various roles, including SCRUM Master, Project Manager, Integration Engineer, and Platform Engineer. Concurrently working as an adjunct university faculty member, teaching graduate-level courses in Systems Life Cycle and undergraduate courses in Health Information Systems

From a technological standpoint, Emmanuel has designed, installed, and implemented complete hospital integration systems using Rhapsody Integration Engine, MS SQL Server, and Public Health Information Networks Messaging System (PHINMS). He has also developed over 10,000 interfaces some of which coded in Java and JavaScript.

In 2019, Emmanuel expanded his skill set and entered the field of digital marketing, quickly becoming a proficient Digital Marketing Strategist. He has since helped numerous clients develop robust digital marketing strategies for their businesses. His expertise encompasses Social Media Marketing, On-page and Off-page SEO, Google Ads, and Google Analytics. Additionally, he and a team have managed clients’ website development projects, ensuring that each site is optimized for SEO, further enhancing their online presence and performance.

Alongside their digital marketing expertise, Emmanuel has delved into the world of Affiliate Marketing, where Emmanuel and his team successfully managed and executed campaigns for a variety of clients. By identifying the right products and services to promote, Emmanuel and his team helped clients generate passive income streams and increase their overall revenue.

Their approach to Affiliate Marketing involves creating valuable content that educates and engages the target audience, while strategically incorporating affiliate links. Emmanuel and his team have experience working with multiple affiliate networks and platforms, ensuring optimal tracking and reporting of performance metrics. By staying up to date with the latest trends and best practices, Emmanuel and his team have been able to optimize affiliate campaigns for maximum results, fostering long-term partnerships and sustainable growth for their clients.

As an accomplished professional, Emmanuel holds dual Bachelor of Arts degrees in Linguistics and English, a Master of Science in Health Information Systems from the University of Pittsburgh, and a Ph.D. in Information Systems from Nova Southeastern University.

My Teaching History

Professor Bazile is a dedicated technology instructor and Adjunct Faculty professor, who began his teaching career in April 2000 at the Business Career Institute in Las Vegas, Nevada.

In 2001, he expanded his expertise by training nurses in the use of Electronic Medical Records (EMR) systems. His experience in both technology and healthcare led to his appointment as an Adjunct Faculty professor at the University of Phoenix in May 2008, where he has taught several graduate-level information technology and healthcare information systems courses.

Dr. Bazile has also developed an HL7 course, which he has taught at various healthcare facilities, drawing from his own book, “HL7: Introductory and Advanced Concepts,” currently available on Amazon. With a passion for teaching and a commitment to ensuring students get the most out of each course he teaches, Dr. Bazile is a valuable asset to both his students and the institutions he serves.

My Teaching Philosophy

My teaching philosophy as an Information Systems professor in healthcare is built on the concept that education should equip students to be confident and capable problem solvers who are prepared to traverse the complicated and ever-changing landscape of Healthcare IT.

In order to accomplish this, I prioritize the creation of a dynamic and engaging learning environment that encourages students to engage with course material and with one another. This involves employing a range of teaching approaches, such as lectures, seminars, and hands-on activities, to ensure that students learn in the manner that best matches their learning style.

I believe the reason we have Information Systems as a discipline is to allow students to apply technology to solve real world problems. If that is the case, both undergraduate and graduate students have to be challenged to incorporate their core academic courses with their matriculated subjects. As such, it is important that students enter their Junior and Senior years with a strong command of the core courses such as Programming, databases, networks, hardware and software, as they serve as the foundation upon which real-world solutions will be built.

I also believe in the importance of incorporating real-world examples and case studies into my courses, as this helps to connect abstract concepts to practical applications. Additionally, I encourage students to apply what they are learning to their own personal and professional goals, as this helps to make the material more meaningful and relevant to their lives.

I strive to foster a positive and supportive learning environment where all students feel comfortable asking questions and participating in class discussions. I believe that this is key to fostering a sense of community and ensuring that all students have the opportunity to succeed.

I have also taught online courses. I have found in an asynchronous learning environment it can be difficult to apply the Peer Teaching or Experiential Learning Pedagogical Approaches. However, I have found the Discovery Learning approach to works quite well. Along with a boost to students’ self-confidence, Discovery Learning in an online environment allows students to synthesize information, expand on existing concepts on their own, while experiencing a positive outcome through trial and error.

Ultimately, my mission as an educator, and a Healthcare IT Information Systems professor is to provide students with the knowledge, skills, and confidence they need to thrive and succeed in their careers and to be technological leaders. By creating a positive and supportive learning environment, incorporating real-world examples and case studies, and encouraging students to apply what they are learning to their own objectives; my hope is to inspire and empower all students to achieve their full potential.

Population Size:

A total of 310 responses were originally received. Any response containing missing data due to unclicked radio buttons or unchecked checkboxes were first reviewed, and, if justified, were omitted from analysis. For surveys with missing data, a total of 18 responses were removed. In order to address any issues with response-set, the data was downloaded into Microsoft Access and queries ran to identify responses that contained the same values for each question. A total of 16 responses were found to be qualified for removal. Another 18 were identified as outliers and removed leaving a total of 258 responses for the study analysis.

In order to assess multivariate outliers, the Mahalanobis distances were calculated and plotted against their corresponding Chi-Square distribution percentiles (Schmidt & Hunter, 2003). The resulting scatterplot is similar to a univariate normal Q-Q plot, where deviations from a straight line show evidence of non-normality. The data showed indications of moderate deviations from multivariate normality, as indicated by the concavity of the data points. There were no additional multivariate outliers or missing values in the data after the removal of 52 responses.

Descriptive Statistics

Frequencies and percentages were conducted for the demographics indicators, while means and standard deviations were calculated for the continuous indicators. For gender, there were 151 females (59%) and 107 males (41%) in the sample. For ethnicity, most participants were Caucasian (119, 46%), followed by African American (56, 22%). The two most populous education levels were Bachelor’s (90, 35%) and Master’s (62, 22%). The biggest proportion of the sample by age group was the 35-44 age group (101, 39%) followed by the 45-54 age group (59, 23%).

Analysis:

Confirmatory Factor Analysis and Composite Reliability

A CFA was conducted along with a reliability analysis to assess construct validity. Examination of modification indices and factor loadings indicated that CSE1, CSE5, CSE7, PC5, ATE1, ATE6, ATE8, PP5, and PP6 were all causing significant problems with the model parameters. The results of the last iteration of the CFA performed in R showed significantly improved fit, although still poor overall (χ2(545) = 2125.61, p < .001, CFI = 0.82, TLI = 0.81, RMSEA = 0.11). The high degrees of freedom indicate that a very large number of parameters are being estimated in this model.

Composite Reliability

For the full model, each construct had excellent reliability. The ATE latent construct had a composite reliability value of 0.89. The ORC construct had a composite reliability value of 0.94. The CSE latent construct had a composite reliability value of 0.85 and PC had a composite reliability value of 0.95. For PP and RES, the composite reliability scores were 0.80 and 0.96 respectively. These values indicate that the loadings for each construct were all directionally similar, and that the items in each construct show a high degree of consistency.

Cronbach’s Alpha

Cronbach’s alpha values were calculated for the items in each construct. The alphas for PC (α = 0.90), AXY (α = 0.94), and RES (α = 0.94) indicated excellent reliability. The alphas for CSE (α = 0.80), ATE (α = 0.88), and PP (α = 0.83) all showed good reliability. These values confirm the results of the composite reliability tests, and reiterate the high degree of reliability within each latent construct.

Partial Least Squares – Structural Equation Modeling

A partial least squares- structural equation modeling (PLS-SEM) was conducted to determine how well the data fit the proposed model, and discern whether significant relationships existed between the independent and dependent constructs. The full model showed AVE values of 0.53 for ATE, 0.69 for AXY, 0.44 for CSE, .72 for PC, .35 for PP, and 0.81 for RES. The high values for AXY, PC, and RES indicate that the amount of variance accounted for in the manifest variables is sufficiently high. The values for ATE, CSE, and PP indicate that some of the variance in the manifest variables is left unexplained.

Structural Model

Once the measurement model had been tested for model specification, the structural model was tested to determine if ATE, AXY, CSE, PC, and PP had a significant effect on RES. A path weighted model was calculated using 10,000 bootstrap samples in R. The results showed a pseudo R-squared value of 0.78. This indicates that approximately 78% of the variance in RES is explainable by the collective effects of CSE, PC, ATE, PP, and AXY.

Further examination of the effects indicated that AXY had a highly significant effect on RES (= 0.87, < .001). This indicates that a standard deviation increase in AXY increases the expected value of RES by 0.87 standard deviations. CSE did not have a significant effect on RES (= 0.02, = .423). Additionally, CSE (= 0.02, = .423), PC (= 0.05, = .334), ATE (= 0.00, = .983), and PP (= 0.03, = .407) did not have significant effects on RES. Table 11 outlines the results of the path estimates.

Correlation Analyses

Both Pearson and Spearman correlations were calculated on the composite scores. The results of the Pearson correlations indicated that CSE was significantly correlated AXY (= 0.22, < .001) and RES (= 0.21, < .001). The results also indicated that PC was significantly correlated with ATE (= -0.79, < .001), AXY (= 0.18, < .001), and RES (= 0.20, < .001). ATE was significantly correlated with AXY (= -0.19, < .001) and RES (= -0.19, < .001). AXY was significantly correlated with RES (= 0.85, < .001).

ANCOVA Analyses

An analysis of covariance (ANCOVA) was conducted to determine if a significant relationship existed between the AXY, PP, CSE, PC, ATE scores and RES controlling for Gender, Age, Ethnicity, Education, and Specialty. The overall model was found to be significant (F(63,194) = 53.39, < .001), with an R2 value of .95, indicating that 95% of the variance in RES was explained by the collective effect of the independent variables and covariates.

Since the overall model was found to be significant, the model’s covariates were assessed. The AXY (F(10,194) = 262.20, < .001), ATE (F(7,194) = 2.20, = .036), Years computers (F(1,194) = 5.71, = .018), and PC (F(12,194) = 2.00, = .026) scores were found to be significant, indicating that a significant amount of variance in RES is explained by AXY, ATE, and PC.

A path diagram depicting the results of the structural model.

Results

This research investigated Computer Self-Efficacy (CSE), Perceived Complexity (PC), Attitudes toward EMR Systems (ATE), Peer Pressure (PP), and Anxiety (AXY) to determine whether these constructs as individuals, or as a group, or coupled together with some other factors could significantly explain resistance to EMR systems. Quantitative examination of self-reported survey results was performed to understand the strength and significance of the relationships, while these relationships were investigated to test the strength of model fit.

the regression paths of the structural model were examined to test the hypotheses. Significance was determined using an alpha level of .05. The model had an overall R2 value of 0.78. This indicates that approximately 78% of the variability in RES can be accounted for by CSE, PC, ATE, PP, and AXY. Since the overall model was significant, the individual coefficients can be interpreted. Some of the hypotheses were supported by the results of this study, and some were rejected. The construction of a data model of the relationships in this study could not meet thresholds that would be evidence of a good fit of the relationships identified in the study.

The fifth hypotheses tested the influence of AXY on resistance to EMR systems. AXY was expressed to be significantly related to resistance (r=.87, p<.001). This finding supports the hypothesis that anxiety with the EMR system will lead to medical care professionals rejecting use of the system. Unlike the findings of the first four hypotheses, the findings of the current study support previous research. Angst and Agarwal (2009) indicated that AXY is a factor which is significantly related to the problem of EMR system resistance. Based on the empirical findings of previous research, the present research and conceptual propositions and conclusions in previously written scholarly articles, there is a great deal of support for the finding that AXY is significantly influenced by EMR resistance.

The findings of this research do not support all findings by previous researchers, and there are multiple relationships which had been established as being significant that were identified as being insignificant in the current research. Generally, because of the inconsistency of previous findings and the current study there may be elements related to the sample examined or other contextual factors which may contribute to the inconsistency that exists. Ultimately, it is suggested that there be further research done on the problem of resistance to EMR system use.

Ultimately the findings support a new take on the problem of EMR system resistance that may contribute to the ways in which scholars investigate the problem of EMR resistance in general. This may also help with the way practitioners approach EMR systems, and articulate value of the systems to medical professionals investing record-keeping systems in the workplace.