Enhancing the student experience by embedding personal tutoring in the curriculum

This paper evaluates an initiative to improve the effectiveness of personal tutoring by embedding it into the curriculum. Structured group tutorials help students make the transition to learning in higher education. These tutorials are delivered within a core module and focus on enabling students to develop study skills, reflect on their learning and plan for their future. The tutor has a role in familiarising students with the practices, norms and skills required for learning at university. The system developed provides a structure and rationale for the interaction of tutors and students, with a clear place and value within the curriculum.

Genetic programming for the minimum time swing up and balance control acrobot problem

This work describes how genetic programming is applied to evolving controllers for the minimum time swing up and inverted balance tasks of the continuous state and action: limited torque acrobot. The best swing-up controller is able to swing the acrobot up to a position very close to the inverted ‘handstand’ position in a very short time, shorter than that of Coulom (2004), who applied the same constraints on the applied torque values, and to take only slightly longer than the approach by Lai et al. (2009) where far larger torque values were allowed. The best balance controller is able to balance the acrobot in the inverted position when starting from the balance position for the length of time used in the fitness function in all runs; furthermore, 47 out of 50 of the runs evolve controllers able to maintain the balance position for an extended period, an improvement on the balance controllers generated by Dracopoulos and Nichols (2012), which this paper is extended from. The most successful balance controller is also able to balance the acrobot when starting from a small offset from the balance position for this extended period.