Search

Educational institutions must manually evaluate student's performance, which requires a significant amount of faculty time and effort. Teachers can easily monitor and document student's learning behavior if they utilize a learning management system (LMS). It can be utilized by coaching sessions or educational institutions to quickly analyze student's performance. Due to the enormous number of pupils, huge data must be analyzed; teachers frequently encounter challenges. The qualities of learners who are students are described analytically in this analysis. In this work, student's cognitive and psychomotor skills are predicted and visualized using Exploratory Data Analysis (EDA) and Machine Learning techniques like KNN and Multiple Regressions. The maximum accuracy of 99% has been obtained in Multiple Regression. [ABSTRACT FROM AUTHOR]

Fragility fractures (FFxs), which are a common musculoskeletal injury in older adults, is associated with an increased frequency of falls. Both FFxs and falls may result from drugs, habits, and co-occurring diseases. We aimed to evaluate the effects of various diseases on the risk of FFx. This retrospective study included 1420 individuals aged ≥60 years. We evaluated the history of clinical FFx and diseases using a detailed questionnaire and a health examination. The risk of comorbidities was assessed using the Age-Adjusted Charlson Comorbidity (AAC) Index. We performed binary logistic regression analysis to determine the risk of FFx and falls after adjusting for covariates. In elderly men, the incidence of FFx positively correlated with rheumatoid arthritis and parent’s hip fracture. For elderly women, the incidence of FFx positively correlated with rheumatoid arthritis and antihypertensive drugs but was inversely associated with dyslipidemia and antilipidemic drugs. The FFX risk of older adults with an AAC Index ≥6 was higher than those with an AAC Index of 1–3. In addition, the AAC Index and falls were independently and strongly associated with a higher risk of FFx. Taken together, multimorbidity increases the risk of clinical FFx independent of falls in the community-dwelling elderly population.

Today's current competitive business and marketing world customer relationship management plays a vital role and key element of innovative business strategy. The service and manufacturing industrial sectors are increasingly interested in retaining and sustained their new and also existing customers to produce quality product and provides innovative, effective customer services. Adequate customer relationship management practices are a basic and essential technique for achieving business goals and also sustained their customers. Customer Relationship Management is a most important influencing factor in service industry; it will help to be successfully attaining business policies for long term efficiency. Hence an attempt was made by the researcher in this study to examine the level of satisfaction on customer relationship management practices in ICICI banks. [ABSTRACT FROM AUTHOR]

Background: The major challenge in engineering education is to educate and train the student's community with pedagogical practices in order to determine the notable skills to solve more complex and fragile structured problems. Innovative pedagogical practices make the students to adhere to the complex formulations of the corresponding domain and its applications. The realm of good understanding of knowledge and its deliverables can be ascertained through pedagogical practices with a focus on learner-centric activities in the classroom teaching. The actual target in teaching learning process is to make all the students to have a good exploration on the domain knowledge with success ratio. The learner success is considered to be the core metric with which we can judge the success of learner-centric activities with creativity and quality processes. Confirming the process in which the learners are engaged with the key ideas of the course to be taught makes the students to have practical implementations in Teaching-Learning process. Objective: This research work focus on the assessment and evaluation of learner-centric techniques for outcome based education upon statistical evaluation. Students of third year (VI Semester) of two consecutive batches have been analyzed for the course on Information Retrieval (14ITPS0). Two set of batches 2015-19 and 2016-20 have been considered for the assessment and analysis of Active Learning Strategies (ALS). The incorporation has been processed using the strategic approach based on daily, weekly and monthly assessments focusing on student learning criteria and their responding behaviors for 2016-20 batch. Each paradigm has been measured corresponding to the course outcomes at each level. Significant statistical analysis has been made for validating the process behind the teaching learning process. Real time case study: Considering the batch 2015-19 summary assignments, presentations has been used for the evaluation and assessment of interim assignments. The observed response from the students went well among the student's community. All the students have been registered for the course and they too have completed the same. But, the time and success ratio in learning mechanism varied from student to student upon completion of the course. Considering the batch 2016-20 active learning strategies such as Quiz by Kahoot!, Flipped classroom activity and MOOCs course has been incorporated. Also, for MOOC'S online courses a set of two courses has been identified relevant to the subject of study such as Text Retrieval and Search engines & Text mining and Analytics. For the Research problem identification the students are allowed to choose the domain specific topics for the course on information retrieval. In this process the time and success ratio has also been observed it also varied from one student to another. [ABSTRACT FROM AUTHOR]

Background: The act of virtual learning is defined through learning and practicing in an environment using digital/electronic content for self-paced through online teaching and mentoring. It explicitly deals with the interaction in an asynchronous mode of learning. The quality of teaching-learning depends on the utilization of digital technologies with the advancement in educational technology. There is a need and evaluation for the assessment and estimation of the impact of e-mental health interventions with the students learning through the virtual learning environment. Purpose/Hypothesis: This research evaluates the psychotherapeutic support for the students to overcome the psychological distress during this COVID-19 pandemic by using machine learning techniques. This mechanism evaluates the efficacy of the academic performance made by the students during the pandemic situation. This analysis involves a hybrid approach for the assessment in machine learning using a genetic algorithm with an artificial neural network upon statistical evaluation. The psychological factors are determined with a keen focus on behaviourism, cognitivism, and social constructivism. The metrics have been evaluated based on digital technologies (ICT) in remote access, individual learning process, flexible learning, cost-effectiveness, time complexity and scalability. Design/Method: The design process involves the 775 student responses with 27 attributes with differentiation of labels corresponding to behaviourism, cognitivism, and social constructivism. The preprocessed data is fed to genetic algorithm with processing parameters focusing crossover and mutation probability and then classified using artificial neural network. The estimation of academic performance is made using the techniques followed in virtual learning environment such as: 1. Online quiz (Quizizz platform) - Individual assessment 2. Flipped classroom activity - Individual assessment 3. MOOCs online courses - Individual assessment 4. Prototype design - Team activity 5. Research proposal - Team activity From the assessment process the each of the student performance is evaluated with regard to the course outcome of individual student in the learning environment. The variation has also been observed with the applicability of ALS and traditional practice methods. Results: The hybrid approach found to be good in the assessment and evaluation of academic performance and health interventions in terms of accuracy (88.18%), precision (94.69%), recall (92.24%), RMS error (0.202) and correlation (0.844) respectively. The statistical analysis and evaluation have been made using Fisher's F-Statistical test, and the P-value is found significantly to be P<0.001. From the experiments, the factors that contribute towards web-based learning, blended learning, and online learning has been differentiated with the psychotherapeutic factors. A total of 775 samples have been used for analysis with the applicability of ICT tools and the pedagogical practices for the course. The factors contributing towards Behaviorism with a focus on interaction and response towards the learning environment plays a significant role in varying the academic performance of the student of about 20% in total learning rate varied significantly. Step-by-step analysis in virtual learning provides a good initiative for the student's community to have a variation in the learning process. Virtual learning is one of the good practices if the ICT in education, process and its principles adhere more efficiently. [ABSTRACT FROM AUTHOR]