Video Tutorials Research Articles

Video Tutorial in Teaching Dance Sports on Students’ Engagement and Performance

Video Tutorial in Teaching Dance Sports on Students’ Engagement and Performance

To Elevate the Preparation of Students for Placement by Developing a Website

Abstract: Comprehensive platform designed to assist students and job seekers in achieving success in placement processes. Our website offers a diverse array of resources, tools, and guidance necessary to excel in various stages of placement, including aptitude tests, technical interviews, group discussions, and personal interviews. Users can access a wealth of study materials tailored to different industries and job roles, including aptitude test questions, programming exercises, case studies, and interview tips. Our extensive library of mock tests provides realistic simulations of placement exams, accompanied by detailed feedback and performance analysis to help users identify strengths and areas for improvement. Additionally, our expert-curated resources on interview preparation cover both technical and HR aspects, offering insight into commonly asked questions, sample answers, and strategies for handling challenging scenarios. The platform also features interactive learning modules and video tutorials on essential topics such as communication skills, problem-solving techniques, and career development strategies.

Musculoskeletal examination of the forelimb of the horse.

The intention of this tutorial video is to illustrate the methods of examining the forelimb and neck of a horse in order to identify abnormalities that may be associated with lameness or disease. A 16-year-old quarter horse gelding was used for examination. The horse was examined for abnormalities by means of physical examination. The examination of the forelimb and neck of the horse was successfully completed. This examination technique is required to identify abnormalities in the equine forelimb and can be utilized during a lameness examination.

Personalized Recommendation of English Online Teaching Content Based on Logistic Regression Algorithm

English online teaching content encompasses a wide range of materials designed to facilitate language learning in digital environments. These resources include interactive lessons, video tutorials, audio recordings, quizzes, vocabulary exercises, grammar explanations, and authentic texts such as articles, short stories, and dialogues. The content aims to cover various language skills, including listening, speaking, reading, and writing, catering to learners of different proficiency levels and learning styles. This paper introduces a Cross-Domain Personalized Recommendation System (CDPRS) designed to enhance the delivery of English language teaching content. Leveraging machine learning algorithms and data analytics techniques, the CDPRS tailors recommendations to individual user preferences, learning objectives, and proficiency levels across diverse content domains. Through a series of analyses and evaluations, including regression analysis and simulation studies, the effectiveness and utility of the CDPRS are demonstrated. Through a series of analyses and evaluations, including regression analysis and simulation studies, the effectiveness and utility of the CDPRS are demonstrated. Results indicate that the system achieves high levels of accuracy (mean accuracy = 0.85), diversity (mean diversity = 0.72), novelty (mean novelty = 0.78), and user satisfaction (mean satisfaction = 0.82) in providing personalized recommendations.

Development of Cold Brew Extraction Tutorial Video for Junior Baristas

This study aims to determine: the results of the development of grind size and cold brew extraction video tutorials; the feasibility of grind size and cold brew extraction video tutorial materials. The feasibility of grind size and cold brew extraction video tutorial media; and user responses to grind size and cold brew extraction video tutorials. This research method is development-type research. Namely adapted using the 4D development model with only three stages due to the limited time and costs required for research. Validation of this video tutorial involves two material experts and two media experts; the object of research is a video tutorial. Questionnaires were used in data collection consisting of material validation, media, and video tutorial user responses. The data analysis technique was carried out descriptively and quantitatively. The results of the video tutorial that have been made in the form of online links cover the material of coffee brewing techniques with grind size and cold brew extraction; The video tutorial material is considered feasible with an average of 80%. The video tutorial media is very feasible with an average score of 84%, and the junior barista response obtained an average score of 83% with a very good interpretation. This implies that the video tutorial of the research results can be used in training activities on coffee blending techniques with grind size and cold brew extraction.

A randomized controlled educational pilot trial of interictal epileptiform discharge identification for neurology residents.

To assess the effectiveness of an educational program leveraging technology-enhanced learning and retrieval practice to teach trainees how to correctly identify interictal epileptiform discharges (IEDs). This was a bi-institutional prospective randomized controlled educational trial involving junior neurology residents. The intervention consisted of three video tutorials focused on the six IFCN criteria for IED identification and rating 500 candidate IEDs with instant feedback either on a web browser (intervention 1) or an iOS app (intervention 2). The control group underwent no educational intervention ("inactive control"). All residents completed a survey and a test at the onset and offset of the study. Performance metrics were calculated for each participant. Twenty-one residents completed the study: control (n = 8); intervention 1 (n = 6); intervention 2 (n = 7). All but two had no prior EEG experience. Intervention 1 residents improved from baseline (mean) in multiple metrics including AUC (.74; .85; p < .05), sensitivity (.53; .75; p < .05), and level of confidence (LOC) in identifying IEDs/committing patients to therapy (1.33; 2.33; p < .05). Intervention 2 residents improved in multiple metrics including AUC (.81; .86; p < .05) and LOC in identifying IEDs (2.00; 3.14; p < .05) and spike-wave discharges (2.00; 3.14; p < .05). Controls had no significant improvements in any measure. This program led to significant subjective and objective improvements in IED identification. Rating candidate IEDs with instant feedback on a web browser (intervention 1) generated greater objective improvement in comparison to rating candidate IEDs on an iOS app (intervention 2). This program can complement trainee education concerning IED identification.

An algorithm to simulate missing data for mixed meal tolerance test response curves

BackgroundResponse curves formed by analyte concentrations measured at sampled time points after consuming a mixed meal are increasingly being used to characterize responses to differing diets. Unfortunately, owing to a variety of reasons, analyte concentrations for some of the time points may be missing. ObjectivesThis study aimed to develop an algorithm to estimate the missing values at sampled time points in the analyte response curve to a mixed meal tolerance test (MMTT). MethodsWe developed an algorithm to simulate the missing postprandial concentration values for an MMTT. The algorithm was developed to handle any number of missing values for 2 or less consecutive missing values. The algorithm was tested on MMTT response curve data for glucose and triglyceride measurements in data from 3 different studies with 2119 postprandial MMTT response curves. The algorithm was validated by removing concentration values that were not missing and replacing them with the algorithm simulated values. The AUC error between the actual curve and simulated curves were also calculated. A web-based application was developed to automatically simulate missing values for an uploaded MMTT data set. ResultsThe algorithm was programmed in Python and the resulting web-based application and a video tutorial were provided. The validation indicated good agreement between actual and simulated values with error increasing for less frequently sampled time points. The study with the mean minimum error of glucose concentrations was 6.2 ± 2.1 mg/dL and study with the mean maximum error of glucose concentrations was 11.3 ± 4.7 mg/dL. Triglycerides had 16.1 ± 6.2 mg/dL mean error. The AUC error was small ranging between 0.01% and 0.28%. ConclusionsThe presented algorithm reconstructs postprandial response curves with estimations of values that are missing.

Teaming with a Robot in Mixed Reality: Dynamics of Trust, Self-Efficacy, and Mental Models Affected by Information Richness

This study employs an innovative mixed-reality game to investigate trust, self-efficacy, and collaboration willingness with a mobile robot in relation to information and mental models. Previous research has demonstrated the significant impact of introductory information on technology use and trust, which further evolves over the course of interactions. Expanding on this, we explore new facets of information content through comprehensive measurements in two empirical studies: In study 1, 68 participants watched one of two video tutorials (high or low information richness) before collaborating with a physical robot in a shared virtual 3D environment. Repeated measures served to investigate temporal dynamics. In study 2, 37 participants additionally engaged in qualitative interviews to better understand how their mental models changed with increasing robot experience. Both tutorials were found to influence user trust and self-efficacy over time, with no significant differences between the two variants. Users valued information on how to communicate with the robot, but still relied on trial-and-error approaches. We argue for a moderating effect of information content and richness and highlight the need for carefully designed tutorials to enhance human-robot interaction.

Interactive Learning Objects «Oia» in the Teaching of International Financial Reporting Standards «Ifrs».

Aim/Purpose The objective of the research is to identify and evaluate the learning process of international financial reporting standards "IFRS" supported by interactive learning objects "OIA" BackgroundThe implementation of IFRS in Colombia requires new dynamics in accounting education in the classroom with dynamic learning tools. MethodologyThe methodology proposes a mixed qualitative and quantitative analysis of information, using the questionnaire as an instrument for data collection as a test before and after the use of the OIA. The sample is represented by students from two Colombian universities in the Public Accounting program in the subject of liabilities. ContributionThis review allows to deepen in the learning process the need to link more and more frequently the interactivity as a tool to improve the understanding of concepts. FindingsThe results obtained indicate that the IROs are a tool that allows a better understanding of theoretical concepts such as IFRS, argued by the improvement in the results of students by linking tools such as video tutorials and guides supported by cybernetics. Recommendations for PractitionersIt is recommended to professionals and researchers to advance new evaluations with longer periods of time to identify if it is a true learning or just a momentary memory due to the virtual supports Recommendations for Researchers The application of research in new virtual environments. Impact on SocietyIn the social sphere, the research helps to reflect on the teaching exercise, the master class, the role of the teacher, the teaching process and the need to rethink the instruments used in university teaching. Future ResearchThe article becomes a base document for future research to deepen aspects such as virtual learning, learning supported by e-media, learning and the need for teacher presence, student engagement in virtuality.

Differences by Race in Outcomes of an In-Person Training Intervention on Use of an Inpatient Portal

Differences in patient use of health information technologies by race can adversely impact equitable access to health care services. While this digital divide is well documented, there is limited evidence of how health care systems have used interventions to narrow the gap. To compare differences in the effectiveness of patient training and portal functionality interventions implemented to increase portal use among racial groups. This secondary analysis used data from a randomized clinical trial conducted from December 15, 2016, to August 31, 2019. Data were from a single health care system and included 6 noncancer hospitals. Participants were patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay. Data were analyzed from September 1, 2022, to October 31, 2023. A 2 × 2 factorial design was used to compare the inpatient portal training intervention (touch, in-person [high] vs built-in video tutorial [low]) and the portal functionality intervention (technology, full functionality [full] vs a limited subset of functions [lite]). Primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and use of specific portal functions. A logistic regression model was used to test the association of the estimators with the comprehensiveness use measure. Outcomes are reported as incidence rate ratios (IRRs) for the frequency outcomes or odds ratios (ORs) for the comprehensiveness outcomes with corresponding 95% CIs. Of 2892 participants, 550 (19.0%) were Black individuals, 2221 (76.8%) were White individuals, and 121 (4.2%) were categorized as other race (including African, American Indian or Alaska Native, Asian or Asian American, multiple races or ethnicities, and unknown race or ethnicity). Black participants had a significantly lower frequency (IRR, 0.80 [95% CI, 0.72-0.89]) of inpatient portal use compared with White participants. Interaction effects were not observed between technology, touch, and race. Among participants who received the full technology intervention, Black participants had lower odds of being comprehensive users (OR, 0.76 [95% CI, 0.62-0.91), but interaction effects were not observed between touch and race. In this study, providing in-person training or robust portal functionality did not narrow the divide between Black participants and White participants with respect to their inpatient portal use. Health systems looking to narrow the digital divide may need to consider intentional interventions that address underlying issues contributing to this inequity. ClinicalTrials.gov Identifier: NCT02943109.

The Changing Face of Public Services in Health Sciences Libraries Post-Pandemic

Health sciences library public services underwent profound changes due to the COVID-19 pandemic. Circulation, reference services, instruction, interlibrary loan, and programming were all significantly affected. Libraries adapted by moving to virtual services, featuring online workshops, video consultations, and digital information sharing. Reference services moved to virtual consultations for a streamlined experience, and instruction transitioned to interactive video tutorials. Interlibrary loan services saw a decrease in print material lending but an increase in electronic subscriptions. Library programming shifted from in-person to virtual, focusing on wellness activities. This post-pandemic transformation underscores the importance of ongoing adaptation to meet changing user needs.

Development of Learning Media Based on Video Tutorials on the Subjects of Software Applications and Building Interior Design at SMK Negeri 1 Sumatera Barat

This research was motivated by the problem encountered, namely the lack of use of media in the learning process of Software Applications and Building Interior Design. This research uses the type of research and development (R&amp;D). This development model refers to the development model (DDD-E) with 4 stages, namely Decide, Design, Development, Evaluate. The subjects of this research were media experts, material experts and class XII Competency Design Skills Modeling and Building Information, SMK Negeri 1 Sumatera Barat, 30 students. This research instrument is in the form of a validation sheet to obtain product validation data, and a student respondent questionnaire to obtain product practicality test results. The research results show that the validity of the material is in the very valid category with an achievement level of 88.4%. Media validity with an achievement level of 90.65% in the very valid category and practicality test with an achievement level of 89.53% in the very practical category. The conclusion of this research is that the learning media developed is valid and practical for use in the learning process Software Application and Building Interior Design class XII Competency Design Skills Modeling and Building Information, SMK Negeri 1 Sumatera Barat.

Optimizing OCR Performance for Programming Videos: The Role of Image Super-Resolution and Large Language Models

The rapid evolution of video programming tutorials as a key educational resource has highlighted the need for effective code extraction methods. These tutorials, varying widely in video quality, present a challenge for accurately transcribing the embedded source code, crucial for learning and software development. This study investigates the impact of video quality on the performance of optical character recognition (OCR) engines and the potential of large language models (LLMs) to enhance code extraction accuracy. Our comprehensive empirical analysis utilizes a rich dataset of programming screencasts, involving manual transcription of source code and the application of both traditional OCR engines, like Tesseract and Google Vision, and advanced LLMs, including GPT-4V and Gemini. We investigate the efficacy of image super-resolution (SR) techniques, namely, enhanced deep super-resolution (EDSR) and multi-scale deep super-resolution (MDSR), in improving the quality of low-resolution video frames. The findings reveal significant improvements in OCR accuracy with the use of SR, particularly at lower resolutions such as 360p. LLMs demonstrate superior performance across all video qualities, indicating their robustness and advanced capabilities in diverse scenarios. This research contributes to the field of software engineering by offering a benchmark for code extraction from video tutorials and demonstrating the substantial impact of SR techniques and LLMs in enhancing the readability and reusability of code from these educational resources.

EXPLORING YOUTUBE IN TEACHING COOKERY TO SECONDARY STUDENTS: A REVIEW

This review explores the role of online video tutorials in developing cooking skills, particularly in the context of senior high school culinary arts education shift to online learning necessitated the use of technology in education, with the Department of Education (DepEd) promoting platforms like YouTube for instructional content. While research directly on online video tutorials for cooking skills is limited, related fields highlight the benefits of video technology for skill development. These benefits include visual repetition, flexible access, and enhanced engagement. This review further examines student preferences for online video tutorials, focusing on YouTube as a primary platform. Students value the increased comprehension and cost-effectiveness compared to traditional methods. The review concludes by advocating for responsible use of online video tutorials to improve culinary education. Recommendations include promoting student engagement with online resources, ensuring tutorial quality, and providing ethical use guidance. Parental support is also identified as a critical factor in student success. Overall, this review emphasizes the potential of online video tutorials to transform culinary education while underscoring the need for responsible utilization and support mechanisms for optimal learning outcomes in the digital age.

Evaluating Mixed Reality as a Tool for Patient Education of Facial Fractures.

Background: Patients may be educated about facial fractures using two-dimensional computed tomography (2DCT); however, three-dimensional mixed reality (3DMR) goggles may improve patient education by delivering content in an immersive environment. Objective: To compare the effectiveness of 2DCT and 3DMR formats used for patient education on facial fractures, as measured by surveys. Methods: In this prospective, randomized, crossover study, video tutorials intended for facial fracture informed consent were created in 2DCT and 3DMR formats from a single CT data set of a zygomaticomaxillary complex (ZMC) fracture. Subjects were randomly assigned into two groups. Group 1 (n = 25) viewed the 2DCT tutorial, answered self-assessment and information recall surveys, viewed the 3DMR tutorial, repeated the prior surveys as well as a comparison survey. Group 2 (n = 25) followed the same sequence but viewed the 3DMR tutorial and then the 2DCT tutorial. Results: Participants (n = 50) had no differences in age (group 1-51.9 years/standard deviation [SD] 20.9; group 2-44.7 years/SD 17.6 years; p = 0.223), gender (group 1-10 male/15 female; group 2-11 male/14 female; p = 0.999), college education level (group 1-25 yes; group 2-25 yes; p = 0.844), or prior 2DCT or 3DMR experience (group 1-9 yes/16 no; group 2-13 yes/12 no; p = 0.393). The 3DMR format was preferred over 2DCT (p < 0.05), and it was reported to enhance understanding as compared to 2DCT (p < 0.05). No differences for information recall were noted (p = 0.753). Conclusion: In this study, participants preferred 3DMR goggles over 2DCT for a simulated ZMC fracture-informed consent.

Using Online Tutorials to Teach Citation: A Work in Progress

After receiving troubling data about graduating students’ abilities to cite their work, the librarians at Cal Poly Pomona sought to respond to these findings by creating a suite of online video tutorials to aid student learning. These tutorials included brief assessment quizzes to aid in gauging student understanding. The onset of the COVID-19 pandemic in spring 2020 greatly accelerated the process of tutorial creation and implementation, as they became a key tool for instructional outreach during pandemic lockdowns. This article will discuss the process of planning, implementation and piloting of these citation tutorials during the early months of COVID-19.

The Use of Tutorial Videofrom “Food&amp; Cooking” Channel to Improve Students’ Writing Procedure Text

The research was aimed to overcome students' writing procedure text problems. As the research subjects, the students in B class of SMP Negeri 18 Pontianak Academic Year 2020/2021 had difficulty constructing the ideas to write procedure text, consisting of goals, materials, and steps. Classroom action research was conducted by implementing tutorial videos from "Food &amp; Cooking" channel as the learning media to help students overcome their problems. In this research, there were two cycles. The data gathered by using the checklist, field notes, and WhatsApp Messenger. The activity in this research is online learning through WhatsApp Messenger. The results of the data were analyzed descriptively. The students' writing procedure text was improved based on the data, and they become more active in the teaching and learning process. In conclusion, the students' writing procedure text problems had been solved using the tutorial video from "Food &amp; Cooking" channel.Keywords: writing, procedure text, tutorial video

TEACHING AND APPLYING WATER CONSUMPTION SIMULTANEITY IN RESIDENTIAL: AN ACTIVE LEARNING PROJECT-BASED ENGINEERING APPROACH

In the present project, spanning from April 2020 to August 2022, the study focused on Hydraulic Engineering I within the Civil Engineering program and the Hydrosanitary Installation Project in the Architecture program. The objectives included calculating the simultaneity coefficient and determining the maximum probable flow for each student's residence. To achieve these objectives, active learning methodologies, specifically project-based learning (PBL), were adeptly employed to enrich students' practical knowledge and foster collaboration. The process began with architectural surveys of residential properties, followed by inventories of pipes, sanitary appliances, and wet rooms. Measurements of flow rates at various faucet openings (25%, 50%, 75%, and 100%) were conducted, along with the recording of operating pressures within home networks. This data served as the foundation for creating calibration curves, a process carried out over 120 days. Using the collected data, each student developed a hydraulic model of their network and compared the software results to practical measurements. The participants calculated the simultaneity coefficient (Ks) and maximum possible flow for their dwellings using hydraulic design concepts and regulatory standards. The results were documented in technical reports, a video tutorial, and infographics. The research highlights the importance of understanding residential water usage patterns and their potential for optimizing water delivery systems. It also underscores the value of experiential learning, which helps students bridge theory and practice, enhancing technical skills and their understanding of hydraulic engineering.

Student Skills in Operating CorelDraw 2020 Application on Class XI DKV SMKN 4 Samarinda

This research is descriptive qualitative in nature and was conducted during the 2023/2024 academic year on the topic of operating CorelDraw 2020. The subjects of this study were 34 students from class XI DKV 2. The object of the research was the students' skills in operating CorelDraw 2020, categorizing them as very skilled, skilled, or less skilled. The research activities included observation, practical tests, interviews, and documentation. Data analysis techniques involved data reduction, data presentation, and triangulation. Based on the research results and discussions, it can be concluded that the skills of class XI students at SMK Negeri 4 Samarinda in practicing exercises related to operating CorelDraw 2020 are generally skilled. Specifically, it was found that 11 students were very skilled, 13 students were skilled, and 10 students were less skilled in operating CorelDraw 2020. Factors contributing to the less skilled performance of some students include a lack of active participation in lessons, not following the teacher's demonstration steps, and not actively asking questions or taking notes on the material. On the other hand, the factors contributing to the skilled performance of students include regularly reviewing lesson materials at home and using tutorial videos for learning. Generally, students struggled with tasks such as managing outlines, combining objects, inserting objects using PowerClip Inside, positioning objects with shortcuts, using the Artistic Media tool, trimming objects using other objects, and using LiveSketch.

Establishing a Resident-Driven Three-Dimensional Printing Lab Within an Academic Institution

Background: Three-dimensional (3D) modeling and printing technologies have been increasingly used throughout healthcare for research, educational, and clinical purposes. Despite the benefits associated with their use in surgical training, the literature poorly outlines the value of establishing an in-house, resident-driven 3D printing lab. Herein, we outline our quantifiable experience with our 3D printing lab and outline all necessary components needed to establish a lab such that the reader can replicate our experience at their institution. Additionally, we outline the process of creating a 3D-printed model from patient imaging with supplementary tutorial videos. Methods: A retrospective review of all 3D-printed models created in our in-house 3D printing lab since its creation in 2022 was performed. 3D-printed models that were utilized for formal educational or clinical purposes were included in this study. All 3D-printed models were created using the Raise3D 2 Pro. Cost estimates associated with each print were collected from the printer’s cost estimation function. Results: A total of 14 3D-printed models met the inclusion criteria for our study. Of these, 4 (28.6%) were utilized for patient and/or resident education with the remaining 10 (71.4%) being used in patient care. By and large, the average cost of educational 3D-printed models was greater than clinical models ($12.00 vs $1.50, respectively). Ten 3D-printed models of mandibular fractures were successfully used to pre-bend plates prior to reconstructive surgery, and minimal intraoperative adjustment of the plate was required for each case. The processes of establishing a 3D printing lab along with creating a 3D-printed model from patient imaging are outlined. Conclusion: Establishing a 3D printing lab is an attainable feat for most institutions. High-value clinical and educational tools can be created for a reasonable price once the initial overhead costs of establishing a lab are covered.