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Adamuthe, Amol C.
- Effective Outcome Based Assessment Methodology for Laboratory Course in Engineering Education
Authors
1 Computer Science and Engineering Department, Rajarambapu Institute of Technology, Rajaramnagar, Sangli, MS, IN
Source
Journal of Engineering Education Transformations, Vol 30, No Sp Iss Dec (2016), Pagination:Abstract
Outcome based education focus on outcomes and not the quality of inputs and process within institutions. This new trend strengthens the student learning and teaching quality. The major hurdle in implementation of OBE is lack of uniform and universally accepted methodology.
This paper is an attempt to provide effective outcome-based assessment process which is more objective and minimizes ambiguity in implementation. The proposed methodology is applicable to laboratory courses in engineering education. Project based learning, direct attainment of course outcomes and up to 60 % reduction in assessment time are the strengths of proposed approach.
Proposed methodology is applied to Database management systems laboratory course which is a third year computer science and engineering course. Evaluation plan with knowledge/skills addressed and mapping with Bloom's taxonomy, experiment plan with deliverables, mapping with course outcomes and detailed assessment sheets with rubrics are presented.
Keywords
Outcome Based Assessment, Laboratory Course Assessment, Project Based Learning.References
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- Construction Cost Prediction Using Neural Networks
Authors
1 Department of Computer Science and Engineering, Rajarambapu Institute of Technology, IN
2 Department of Information Technology, Rajarambapu Institute of Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 8, No 1 (2017), Pagination: 1549-1556Abstract
Construction cost prediction is important for construction firms to compete and grow in the industry. Accurate construction cost prediction in the early stage of project is important for project feasibility studies and successful completion. There are many factors that affect the cost prediction. This paper presents construction cost prediction as multiple regression model with cost of six materials as independent variables. The objective of this paper is to develop neural networks and multilayer perceptron based model for construction cost prediction. Different models of NN and MLP are developed with varying hidden layer size and hidden nodes. Four artificial neural network models and twelve multilayer perceptron models are compared. MLP and NN give better results than statistical regression method. As compared to NN, MLP works better on training dataset but fails on testing dataset. Five activation functions are tested to identify suitable function for the problem. ‘elu' transfer function gives better results than other transfer function.Keywords
Construction Cost Prediction, Neural Network, Multilayer Perceptron.References
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- Roadmap to Inculcate Complex Problem-Solving Skills in CS/IT Students
Authors
1 Dept. of CS&IT, Rajarambapu Institute of Technology, Rajaramnagar, IN
Source
Journal of Engineering Education Transformations, Vol 34, No 2 (2020), Pagination: 61-74Abstract
IT industries expect critical & analytical thinking, programming skills, domain & technology knowledge and soft skills from CS/IT graduates. There is a need for investigation of outcome-based methods to inculcate complex problem-solving skills among graduates. This paper presents a roadmap for designing student learning outcomes, assessment methods, curriculum and active teaching-learning activities for CS/IT programme. The proposed roadmap incorporates project-based, problem-based and case study based teaching-learning and assessment strategies to address higher Bloom's level. The proposed roadmap of implemented for the 2015- 19 batch of CS&IT department, Rajarambapu Institute of Technology. The case study presents identified 13 student learning outcomes (SLOs) in line with program outcomes and current IT industry expectations. To achieve the SLOs, problem and project-based assessment methods and teaching-learning methods are designed. To calculate the success of the proposed roadmap, students' performance of 2015-19 batch is compared with ancestor batch 2014-18. The effectiveness of the proposed roadmap for inculcating complex problem solving is measured with percentage of higher levels of Bloom's addressed in assessment, attainment of student learning outcomes, attainment of students' employability skills and student's feedback. For all courses, performance of students of batch 2015-19 is better than batch 2014-18. The better performance is shown with highest and median marks. Batch 2015-19 shows better student learning outcomes and employability scores than batch 2014-18. The proposed roadmap is found better on all mentioned measures for inculcating complex problem-solving skills.Keywords
Problem-Solving Roadmap, Project-based Learning, Problem-Based Learning, Outcome-Based Education.References
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- Analyzing the Adoption of Recent IT Technologies in Undergraduate Engineering Project Course
Authors
1 Dept. of CS&IT, Rajarambapu Institute of Technology, Rajaramnagar, MS, IN
2 Dept. of CSE, Rajarambapu Institute of Technology, Rajaramnagar, MS, IN