Suitable Course Research Articles

Perianal basosquamous carcinoma treated with radiation therapy, a case report.

Perianal basal cell carcinoma (BCC) is very rare and estimated to account for 0.08% of all BCC and 0.02% of all anorectal neoplasms. Perianal lesions are more likely to be squamous cell carcinoma (SCC) as BCC usually develops on areas of skin exposed to ultraviolet (UV) light such as the face and arms. Proper diagnosis with the assistance of immunohistochemistry (IHC) stains to distinguish the two entities can help inform the suitable course of treatment. Our case is an 82-year-old male with a history of cutaneous BCC on the arms and trunk presenting with a symptomatic perianal lesion. Initial biopsy demonstrated BCC with subsequent IHC studies differentiating from basaloid SCC. Standard treatment includes wide local excision (WLE) but given his poor performance status, radiation only was recommended. He was successfully treated and tolerated 30 Gy in 5 daily fractions. Radiation only is a unique and feasible non-surgical treatment for basosquamous carcinoma of the anus.

Thirukkural’s Life Ethics

In the history of Tamil literature, it is most appropriate to call the ‘Pathinenkezhkanakku noolgal’ as the Sangamaruviya period as “Nyadhi or Charitable Books”. The Thirukkural, which is referred to here as the Muppal literature, is described as an Akshaya patra given by the Iradivenpas as 1330 Arumpas by Valluvar Perunthagai. The contents of literature are fundamentally constructive in terms of the individual and the society. But they strongly condemn the opposing views; Valluvar, whether it is an individual life or a society, carries forward the four things and all the aspects required by the man who lives effectively within the class. Therefore, this study is not merely analogous, but the literary treasure of Thirukkural will guide the present life as well. It is noteworthy that this study makes it clear that from any point of view, it is capable of providing a suitable course for the purpose, a suitable answer to any question that is asked, and a suitable solution to any problem that is stated. The basis for the question of the study was whether literature reflected not only the time of their origin, but also whether literatures were constructive, counterproductive, and guiding modern life. The strongest reasons for this are the things that have been said for ages, as well as the prevailing views and conceptions of Thirukkural.

Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths

Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects that can provide the counseling needed. The methods comprise an analysis of user profile characteristics and learning analytics indicators (e.g., learning progress/self-regulation) by means of an expert workshop, evaluating the feasibility of current technologies (e.g., natural language processing) for automatically assessing users' competencies, and a survey on the use of Chatbots as the interaction interface between the users and the lifelong learning portals. The analysis resulted in the extraction of basic requirements for digital counseling. We conclude the paper by presenting a system design derived from these studies.

Investigating Sand as Wearing Course in Rural Roads

Road transportation in rural areas is one of the main means of conveying people, farmers, farm implements and farm produce from the rural dwellings and farms unfortunately the dearth of investment and maintenance of road infrastructure in rural communities and also the growing use of these roads has made the plying of such roads to be worrisome because of its implication on the safety of those using the road. The consequence of the badly rutted, sandy or muddy roads is the increase in the cost of transporting agricultural produce to farm which will inevitably contribute to increasing food prices. The need to make sandy rural road to have a suitable wearing course necessitated the collection of sand samples from a community in Yewa South Local Government Area of Ogun State Nigeria. Particle size distribution, in-situ density, compaction, relative density, relative compaction and California bearing ratio (CBR) were conducted on the sand samples. The soil profile was 300mm thick at the point the sample was obtained. The results obtained from the tests indicated that; the sand was well graded (SW) in accordance to the unified soil classification system. The CBR values obtained were 23.23% and 22% and the result of relative compaction was 65% which is less than the 90-95% stipulated by relevant standard and this can be attributed to the natural compaction of the soil done by the flowing water as against when a compactive effort is applied. For the sandy road to be plied all year round, the moisture content of the sand should be kept at a value well above 1.3% and the thickness of the wearing course should not be less than 300mm.

An On-Campus Approach to Online Mathematics Teaching: A Case Study on a Pre-Calculus Course

<p style="text-align: justify;">Learning in STEM subjects is to a high degree based upon understanding logic, especially in subjects like mathematics. It has always been challenging to preserve the benefits of on-campus teaching and learning while digitalizing the teaching of mathematics. In this article an approach to design for a suitable online pre-calculus course is discussed, that aims to address the challenges. The main focus will be on student active learning in synchronous online environments, technical teaching methods in lectures, and pre-planning of the course. The final exam in the course was held as a closed-book proctored exam on-campus with pen and paper, providing data on comparisons of the final exam scores with the exam from the previous year, in which the entire course was held on-campus. The results indicate a positive effect from the presented design. Also, student surveys indicated high student satisfaction.</p>

ACCOUNTING STUDENTS' MOTIVATION for CHOOSING CAREERS as FORENSIC ACCOUNTANTS


 
 
 
 This study aimed to investigate the internal and external factors that motivate accounting students to have a career as forensic accountants using Behavioral career decisions theory. Otherwise, this study analyses the motivation differences between students of public universities and private universities students. This study used a survey method by providing a questionnaire. The population in this study were active undergraduate accounting students at Jenderal Sudirman University, Muhammadiyah University of Purwokerto, and Wijayakusuma University. The respondents were 95, and data were analyzed using SPSS.
 The results show that internal and external motivation positively and significantly affect forensic accountants' career selection. There is no difference in motivation for choosing a forensic accountant career between accounting students in public universities and private universities in Banyumas Residency. The study results show achievements, recognition of appreciation, salary rewards and individual environmental conditions as motivational factors. With its unique characteristics as a particular field in accounting studies, forensics is one of the essential sciences in accounting. Therefore, accounting educators and academics can consider preparing a suitable forensic course syllabus or curriculum for the undergraduate programme. 
 
 
 

Aligning Employees’ Objectives with the Organizational Goals

Aligning employees with the organization’s strategic goals has become increasingly important as organizations strive to achieve the optimum levels in organizational performance, profitability and business sustainability. The aim of this study was to revealthe main barriers in the alignment process between employees’ objectives and the organizational goals in a governmental corporation. Secondly, to propose a suitable and applicable course of action for better organizational alignment. To achieve optimum results; both qualitative and quantitative research methods (detailed questionnaire and personal interviews) have been applied in this paper. Gathereddata have been analyzed by spread sheets and web-based models such as Google forms. The results show that there is a lack of effective communication throughout the corporation, knowledge and capabilities are not developed, employees are not involved or empowered, and finally people efforts are not rewarded or recognized. Furthermore, the results illustrate the satisfactory factors that affect employees’ job performance and achieve the highest level of motivation. The recommended action plan in this paper is based on information gathered through an extensive literature review, and researcher experience in this field. This study is an attempt to establish the basic criteria to enhance leadership credibility, minimize wasted resources, and achieve the optimum utilization of human resources in the governmental sector.

E-Learning Environment Based Intelligent Profiling System for Enhancing User Adaptation

Online learning systems have expanded significantly over the last couple of years. Massive Open Online Courses (MOOCs) have become a major trend on the internet. During the COVID-19 pandemic, the count of learner enrolment has increased in various MOOC platforms like Coursera, Udemy, Swayam, Udacity, FutureLearn, NPTEL, Khan Academy, EdX, SWAYAM, etc. These platforms offer multiple courses, and it is difficult for online learners to choose a suitable course as per their requirements. In order to improve this e-learning education environment and to reduce the drop-out ratio, online learners will need a system in which all the platform’s offered courses are compared and recommended, according to the needs of the learner. So, there is a need to create a learner’s profile to analyze so many platforms in order to fulfill the educational needs of the learners. To develop a profile of a learner or user, three input parameters are considered: personal details, educational details, and knowledge level. Along with these parameters, learners can also create their user profiles by uploading their CVs or LinkedIn. In this paper, the major innovation is to implement a user interface-based intelligent profiling system for enhancing user adaptation in which feedback will be received from a user and courses will be recommended according to user/learners’ preferences.

Sustainable Green Human Resource Management Practices in Educational Institutions: An Interpretive Structural Modelling and Analytic Hierarchy Process Approach

Green Human Resources Management (GHRM) is an alignment of traditional human resource practices such as strategies, policies, procedures, and rules to the latest green and sustainable environment responsive practices. Unlike corporates, the adoption of GHRM in educational institutes (EIs) is still in its infancy stage. Through an extensive literature survey, this study identified eleven challenges in adopting the GHRM “strategy”, ten on “policy”, nine on the “procedures”, and eight on framing the GHRM “rules” aspect. The aim is to identify and develop the relationship between major and minor challenges in adopting GHRM practices in EIs. Hence, this study has applied the Interpretive Structural Modelling (ISM) technique to each GHRM practice and developed interrelation among such challenges and results verified with Analytic Hierarchy Process (AHP). The rankings of both techniques have been statistically verified with the Spearman Rank Correlation technique. The study concludes the lacking or insufficient considered four main pillars: clear vision and top management cooperation among these EIs to ensure sustainable GHRM practices from the strategy aspect perspective, benchmark in fixing accountability considering the policy aspect, suitable course curricula in universities focused on GHRM practices from procedural viewpoint, and transparency in EIs from the perspective of rules as significant challenges in GHRM adoption. The findings of the reported results can be further extended in cross-sectional and cross-cultural studies in further studies.

Procedure for Assessing the Suitability of Battery Second Life Applications after EV First Life

Using batteries after their first life in an Electric Vehicle (EV) represents an opportunity to reduce the environmental impact and increase the economic benefits before recycling the battery. Many different second life applications have been proposed, each with multiple criteria that have to be taken into consideration when deciding the most suitable course of action. In this article, a battery assessment procedure is proposed that consolidates and expands upon the approaches in the literature, and facilitates the decision-making process for a battery after it has reached the end of its first life. The procedure is composed of three stages, including an evaluation of the state of the battery, an evaluation of the technical viability and an economic evaluation. Options for battery configurations are explored (pack direct use, stack of battery packs, module direct use, pack refurbish with modules, pack refurbish with cells). By comparing these configurations with the technical requirements for second life applications, a reader can rapidly understand the tradeoffs and practical strategies for how best to implement second life batteries for their specific application. Lastly, an economic evaluation process is developed to determine the cost of implementing various second life battery configurations and the revenue for different end use applications. An example of the battery assessment procedure is included to demonstrate how it could be carried out.

Advanced vaccinology training globally: Update and impact of the COVID-19 crisis

The rapid development of innovations and new technologies, the focus on the life-course approach to immunization and equity, and the prevalent hesitancy towards vaccines requires immunization staff to be well-trained and updated regularly in order to deliver quality immunization services to the public. The need for advanced vaccinology training is therefore paramount. In preparation for a second Global Workshop on Advanced Vaccinology Training that took place in March 2022, this paper presents the results of a survey aiming to provide a thorough update of a landscape analysis on advanced vaccinology courses conducted in 2018 and a look at the impact of the COVID-19 crisis. Thirty-three course organizers responded to a survey to provide information on their respective course. Of those, 17 courses are short courses, 11 post-graduate courses and 5 are Master level courses. Most courses are organized on an annual basis. Even though some courses were not sustained overtime, the number of courses has been increasing during the last few years, and at least one vaccinology course is now being offered in each WHO region. Although the training capacity has increased tremendously, the need still exceeds the capacity and many courses have way more applicants than they can select. The most frequent challenges reported included sustainable funding and identifying faculty. The COVID-19 pandemic impacted the delivery of several vaccinology courses, which have been postponed or reformatted to an online or hybrid training event. An e-portal of the global collaboration has been established to facilitate communication between the different courses and to assist future course participants to identify the most suitable course for their needs.

Sarvaay Solutions – creating value innovation for farmers

Learning outcomes The case demonstrates the use of strategic management tools such as pros and cons analysis, SWOT analysis, strategy canvas, the four-action framework and the eliminate–reduce–raise–create grid to create a Blue Ocean.Through a discussion of the case, students will be able to:▪ conduct pros and cons analysis to objectively understand a situation;▪ conduct SWOT analysis to understand the internal and external ecosystem;▪ understand non-customers and paths to reach them;▪ demonstrate the role of strategy canvas and the four-action framework in designing a new offering; and▪ explain how to create a Blue Ocean market space, by implementing the concept of value innovation. Case overview/synopsis This case describes a situation in which Dr Vishal Sardeshpande (Sardeshpande), a first-generation entrepreneur in the agro and food processing industry, started Sarvaay Solutions to provide technological solutions for the sector, especially for the small/medium-sized farmer. Such farmers did not have access to technology and the markets to create value addition on their farm produce, and hence were at the mercy of the middlemen or the large farmers. After years of experimentation from 2006 till 2018, Sardeshpande made a resource-efficient jaggery manufacturing process (REJMP) in Pune to enable and empower the farmer to produce quality jaggery using their own sugarcane, which otherwise was sold to the middlemen. Sardeshpande knew the industry and was aware of the challenges faced by the farmers, traditional jaggery producers and cooperative farming bodies. In June 2022, while sitting in his house, Sardeshpande was struck with an idea that the key to success of REJMP is to empower farmers or traditional jaggery producers or cooperative farming bodies to create value from agriculture produce and wondered the way forward. The purpose of this case is to provide an opportunity for the participants to use management tools such as strategy canvas, four-action framework, Pros and Cons analysis and SWOT analysis to understand noncustomers and paths to reach them and understand new industry creation. Participants need to take into consideration the data given in the case and make realistic assumptions to understand how new industries are created. Complexity academic level The case engages the participants in deciding a suitable course of action for Sardeshpande to decide the Blue Ocean strategy. It helps them to delineate the challenges faced by an entrepreneur to select a route for the new market space.The case is ideal for undergraduate, postgraduate or executive education students and can be used in the following courses of a business management, agri business management or entrepreneurship programs:▪ creating new industries;▪ Blue Ocean strategy; and▪ strategic management. Supplementary material Teaching notes are available for educators only. Subject code CSS 3: Entrepreneurship.

SentiWordNet Ontology and Deep Neural Network Based Collaborative Filtering Technique for Course Recommendation in an E-Learning Platform

The expansion of the population that wants to learn online is growing due to several e-learning platforms, which help innovate and suggest courses to learners. Several techniques are devised for determining optimal courses for the learner. In recent days, researchers began to utilize recommendation systems in e-learning. This paper devises a novel technique for course recommendation to students in an e-learning platform, which helps learners select the best course. Here, the Butterfly Weed Optimization (BWO) is newly devised by combining Invasive Weed Optimization (IWO) and Butterfly Optimization Algorithm (BOA). At first, the process is performed by inputting the data to the Course subscription matrix for constructing the matrix based on learner interest and courses. Here, course grouping is performed using Interval type-2 Fuzzy Local Enhancement Based Rough K-means Clustering. Furthermore, the course is matched with input data based on entropy and angular distance. Finally, the sentiment classification is performed using the Ontology-based approach SentiWordNet and Deep Neural Network (DNN). Here, the DNN is trained with the proposed BWO algorithm, and thus the course recommendation is attained by offering a suitable course recommendation to learners.

Non-genetically modified organism in vitro CRISPR/Cas9 gene editing of the lacZα gene: A 4.5h laboratory course for senior high-school students.

The CRISPR/Cas9 system opens new horizons (M. Adli, Nat Commun, 2018) regarding genetic modifications of living organisms but also as an in vitro tool in laboratory protocols. Therefore, it boosts possibilities in research and future medical treatments. As the controversial claim of genomically edited babies by He Jiankui (Cyranoski D., Nature, 2019) demonstrates, the new gene editing potentials entail ethical discussions. A public or social discussion presupposes not only a theoretical knowledge or understanding of the system, but also profits from direct laboratory experiences showing how easy these techniques can be applied. Introducing numerous students and classes into these emerging techniques in a modern biology classroom depends on a suitable course concept, which fits legal and organizational requirements at the same time. Therefore, we implemented an appropriate hands-on laboratory course for senior high-school students, lasting just 4.5h. Particularly with regard to European regulations concerning the handling of genetically modified organisms, the constructs and protocols avoid the transfer of Cas9 DNA. This normally mandatory transfer was replaced by in vitro gene-editing. This leads to Cas9 induced gene knock-outs due to frame shifts and/or the excision of DNA fragments in common Escherichia coli (E. coli) plasmids, such as pUC19. This gene knock-out concept covers various steps: In vitro plasmid editing with Cas9, ligation and transformation of E. coli cells with the modified plasmid DNA and finally the spread plating of transformed E. coli cells in order to analyze colonies after overnight incubation. The successful excision of DNA fragments by in vitro Cas9 treatment was determined by subsequent gel electrophoresis.

Towards Analyzing the Online Learner's Behavior: An Expedition to Recommender System

E-learning courses are gaining significance nowadays and are also an active area for research. COVID-19 pandemic has challenged education system across the globe and many institutions have switched to the online platforms for survival. Due to this, a lot many online courses are available and it is very difficult for a novice user to select suitable course as per one’s preference. Despite the great motivation for MOOC courses and rapid growth of online platforms, there has been tremendous drop out for MOOC courses. This paper focuses on analyzing user activities or user’s learning behavior in order to recommend suitable and unsuitable courses according to user preference. One of the key issues is nowadays is the increasing dropout rate of MOOC learners. The completion rate of most of the online courses is very less as compared to the number of enrolled participants. After creating and analyzing the user learners’ profile, the recommender system recommends suitable courses to the learners so that dropout cases will decrease and the user will be able to choose appropriate courses as per their preferences. Sometimes under social influence or lack of awareness, learners opt those courses that are not appropriate for them. As each learner knowledge level is diverse so customization is required in order to improve online learning experience. In this paper, authors have described various challenges of the online learners, suggested how a recommender system should be advanced and different types of recommender systems.

Students’ Voices on Literacy Enhancement at a Tertiary Level

The development of reading literacy at an early stage is a determining factor for students at the later stages. A review of studies that are related to this issue indicates that some students are still underperforming in reading English texts even at the tertiary level, hence unsuccessful to meet the expectancy of literacy skills needed to progress accordingly. This paper aims to investigate students’ literacy skills in reading at the tertiary level. Adapting an interpretivism paradigm approach, the students’ reading background before tertiary education was explored through a focus group interview. Ten undergraduates of non-English majors from the English for Social Sciences class were interviewed to elicit their attitudes and perspectives towards the course. The interview involved continuous questioning and comparing in reflecting on how these factors would cater for the needs of undergraduate students. The findings indicate students’ negative perceptions towards the course as most of them had difficulties coping with academic reading at the tertiary level. This study highlights the need in providing suitable course content and academic support for the students in catering sufficient reading literacy to suit the students’ needs. The findings suggest students’ voices should be given some consideration when planning to improve the course contents and the mode of delivery of reading materials, especially for the tertiary level.

Meeting the needs of agribusiness students in an ESP-reading context

This study explored the needs for English for Specific Purposes (ESP) among the Agribusiness students in Jember State Polytechnic. It investigated the students' attitudes towards English for Specific Purposes (ESP) and their readiness for it. The study focuses on the issue of designing a suitable core course of English for Specific Purposes that introduces ESP through academic reading. The study is based on the investigation of the learners' needs. The aim of the study is to propose a suitable course in which ESP can be integrated or injected within the regular English for General Purpose classrooms in order to facilitate the students' academic progress within Agribusiness's current issues.

Magic of Choosing Suitable Course Coordinator Based on Students’ Feedback: A Single Center Experience from Saudi Arabia

Background. Medical education is an unusual field whereby a teacher does not receive formal training to become a teacher and is usually marred by quality and effectiveness in imparting the curriculum. To add to the insult, the additive burden of administrating the implementation of the courses does affect the teaching capabilities of a particular teacher. At the College of Medicine (COM), a rigorous procedure for selecting suitable “course coordinators” is followed as they not only serve as administrators for the curriculum implementation but also serve as the role models for the students and their peers as well. Each course coordinator is an important cogwheel in the curriculum as each one can have a positive impact on the overall quality and success of the program. At COM, twenty-one courses are taught in the curriculum, and the execution of each course is led by the duo of coordinator and co-coordinator. The course coordinator is the one primarily involved in the execution, selection of faculty, ensuring smooth flow and delivery of objectives, finalizing and execution of the exam, and responding to students and faculty’s needs during and after the course execution and is the primary person to suggest an effective action plan based on needs to improve the course for the upcoming academic year. Aim. The aim of our study was to assess whether a good teacher can be an effective course coordinator and what the impact of a good teacher/course coordinator is on student satisfaction levels. Methods. This study is a descriptive cross-sectional study carried out for five academic years from 2013-14 till 2017-18. The sample included both male and female sections of the medical program, and the courses for the study were selected as consecutive sampling techniques. The data was retrieved from the evaluation units’ records for the period of 2013–18. SPSS version 20.0 was used for data analysis. Results. Our data reflects a strong positive correlation between course coordinator, course coordinator as a faculty, overall evaluation of the course, and mean faculty rating. Additionally, a strong positive correlation between the mean evaluation of all domains and overall course evaluation for both preclinical and clinical years of the medicine program was also found. Conclusions. Carefully selected effective teachers as course coordinators do have a positive impact on two domains of the course quality, that is, overall satisfaction and faculty ratings by medical students.

Needs analysis-based ESP course design for vocational high school students

The objectives of this research were to find out: (1) the needs of accounting students in learning English at one of the vocational high schools in Donggala; and (2) the suitable English course design for vocational high school students. This research used a descriptive qualitative research method by involving twenty-two students majoring in accounting. The research instruments were google form questionnaires and phone interview that each instrument contained open-ended and close-ended questions. The data of this research were analyzed in four stages; namely coding, data reduction, data display, and drawing conclusions or interpretations. The researchers found that the needs of accounting students who participated in the research in learning English were in accordance with the teaching concepts of English for Specific Purposes. The language skill they needed the most was speaking. The students lacked vocabulary, pronunciation, and self-confidence to speak in English. In line with the students’ lack, the students would like their speaking skill to be developed. Based on the result of the students’ needs analysis, the researchers suggested a set of English course guidelines which consisted of four components. The first was the course rationale that covered target learners, course content, and course objectives. The second component was course materials related to accounting and about daily life. The third was teaching method and learning activities that most of the students preferred discussions and practices. The last component was assessment which consisted of a portfolio, journal, interview, observation, and self/peer assessment. The teacher could use one assessment only or more in one time for assessment based on the learning situation and the students’ needs.

Contributions of Machine Learning Models towards Student Academic Performance Prediction: A Systematic Review

Machine learning is emerging nowadays as an important tool for decision support in many areas of research. In the field of education, both educational organizations and students are the target beneficiaries. It facilitates the educational sector in predicting the student’s outcome at the end of their course and for the students in deciding to choose a suitable course for them based on their performances in previous exams and other behavioral features. In this study, a systematic literature review is performed to extract the algorithms and the features that have been used in the prediction studies. Based on the search criteria, 2700 articles were initially considered. Using specified inclusion and exclusion criteria, quality scores were provided, and up to 56 articles were filtered for further analysis. The utmost care was taken in studying the features utilized, database used, algorithms implemented, and the future directions as recommended by researchers. The features were classified as demographic, academic, and behavioral features, and finally, only 34 articles with these features were finalized, whose details of study are provided. Based on the results obtained from the systematic review, we conclude that the machine learning techniques have the ability to predict the students’ performance based on specified features as categorized and can be used by students as well as academic institutions. A specific machine learning model identification for the purpose of student academic performance prediction would not be feasible, since each paper taken for review involves different datasets and does not include benchmark datasets. However, the application of the machine learning techniques in educational mining is still limited, and a greater number of studies should be carried out in order to obtain well-formed and generalizable results. We provide future guidelines to practitioners and researchers based on the results obtained in this work.