Objectives: To discuss the behavior of three different learning domains and effective assessment of each domain. Materials and Methods: Learning domains have always played an important role in evaluating the student's knowledge and skills. The learning domains can be incorporated, while designing the course outcomes of all the courses in a program; however, the assessment of learning domains practiced in many higher education programs resulted in vague assessment methods and as a result, they failed to show concrete continual quality improvement (CQI). Hence, the authors have developed an assessment method, which is more holistic to assess the cognitive, affective, and psychomotor behaviors individually. Results: It is expected that the proposed method will allow one to objectively evaluate whether the students have achieved the criteria, subsequently facilitating CQI implementation within the program and produce qualifi ed graduates.
Conclusion:The proposed assessment method for learning domains will encourage readers to use reliable and valid assessments in higher education by discriminating between assessing skills, knowledge, and attitudes. This paper will inspire its readers to enhance association of teaching and learning. Application: Though, the examples used in the proposed method are taken from engineering education, this proposed assessment method can be applied to any higher education programs in medical, pharmaceutical technology, physiotherapy, bio-technology, etc.
Abstract. This paper proposes a better engineering design of an assistance kit for manual wheelchair users. The design is aimed to enhance the detection of obstacles in the travelling path of the wheelchair user at low cost. This is facilitated by microcontroller and sensor technologies. The proposed design provides the intended user with obstacle detection, light detection, a light emitting diode (LED) emergency light system, and an emergency alarm system. The microcontroller is the main controller that receives input from the sensors and produces output to the light crystal display (LCD) screen, the LED emergency light system, and the emergency alarm system. An ultrasonic sensor is used to detect the presence of obstacles directly behind the wheelchair. If any obstacle exists behind the wheelchair within a set range, the system will alert the wheelchair user through different alarm sounds. In the case of absence of light, the LED emergency light system is activated and turns on a light source, which is attached to the wheelchair to provide a bright and clear path for the user. The distance between the obstacle and the wheelchair, and the status of the LED emergency light system are displayed on the LCD screen.
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