Statistical Approach to Analyze Student Learning Outcomes
Mohammad Rashid Hussain1, Mohammed Qayyum2, Mohammad Equebal Hussain3
1Mohammad Rashid Hussain, Department of Information Systems, College of Computer Science, King Khalid University, Abha, Aseer, KSA.
2Mohammed Qayyum, Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, Aseer, KSA.
3Mohammad Equebal Hussain, Department of Computer Science, Suresh Gyan Vihar University, Jaipur, (R.J), India.
Manuscript received on 04 January 2019 | Revised Manuscript received on 20 January 2019 | Manuscript published on 30 January 2019 | PP: 25-33 | Volume-7 Issue-5, January 2019 | Retrieval Number: E1934017519©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To improve students’ learning outcomes (SLO’s), it requires efforts on many aspects, out of which effective learning techniques helps and motivate students to achieve their learning goals. Learning conditions depends on prior knowledge, learning environments and the nature of the area in which the techniques are implemented. There are certain rubrics which have been decided to measure SLO’s. To achieve the target, it is important to meet the introduced methodology in all respect of Course Learning Outcomes(CLO’s) in National Qualification Framework (NQF) Domains of Learning and Alignment with Assessment Methods and Teaching Strategies: Knowledge, Cognitive Skills, Interpersonal Skills & Responsibility, Communication, Information Technology, Numerical and Psycho-motor.
Keywords: National Qualification Framework (NQF), Course Learning Outcomes (CLO’s), Students Learning outcomes (SLO’s).
Scope of the Article: Deep Learning