Farhana Wan Yunus

Robot-assisted learning for communication-care in autism intervention

Robot-based intervention for children with autism is an evolving research niche in human-robot interaction (HRI). Recent studies have covered the role of robots in clinical and experimental setting but not much on integrating them in educational setting. Our previous work had shown that interaction with a robot poses no adverse effects and that the robots specific interaction scenarios were associated with less autistic behavior. Extending this impact on school-going children, interactions that are in-tune with special education lessons are needed. This study aims to propose the integration of a robot into current learning environment for children with special needs, specifically autism. Six interaction scenarios had been designed based on the existing syllabus to teach communication skills, using the Applied Behavior Analysis (ABA) technique as the framework. Development of the robotic experience for learning also covers the required set-up involving participation from teachers. The actual research conduct involving school children, teachers and robot shall take place in the next phase.

Effective criteria of item analysis software

In Malaysia there is a move to abolish centralized assessments such as the Primary Six UPSR in 2012 and the Lower Secondary Three PMR Examinations. This is in line with the current global trend towards decentralising summative assessment and increased attention given to formative school and classroom based assessment. Therefore, this study aimed at developing and evaluating a user-friendly electronic item analysis and item banking software referred to SuperSETIA. Data was collected from teachers from three states using semi-structured interview questions and checklists. In relation to the usefulness of item analysis software, findings indicated that respondents were satisfied with the effectiveness criteria and the program content of the software. Majority of the respondents also concurred that the software is able to prepare teachers for real-world item analysis and teaching enhancement. Additionally, this study has helped the researchers obtain constructive feedback and the need to look into some key issues related to the user interface, audience appeal, navigation and presentation of the software. Last but not least, it is believed that with further exposure and training, this item analysis software can be widely accepted and used among the target audience.