One of the challenges in in-service teacher education is how teachers can be given professional development (PD) that enables them to respond to national curriculum and policy change. In recent years primary teachers in New Zealand have been inundated with Ministry of Education-funded professional development programmes to help them implement a plethora of curriculum policy and reform initiativ...

A novel optimization algorithm named teaching-learning-based optimization (TLBO) algorithm and its implementation procedure were presented in this paper. TLBO is a meta-heuristic method, which simulates the phenomenon in classes. TLBO has two phases: teacher phase and learner phase. Students learn from teachers in teacher phases and obtain knowledge by mutual learning in learner phase. The suit...

Given a teacher that holds a function f : X → R from some class of functions C. The teacher can receive from the learner an element d in the domain X (a query) and returns the value of the function in d, f(d) ∈ R. The learner goal is to find f with a minimum number of queries, optimal time complexity, and optimal resources. In this survey, we present some of the results known from the literatur...

Open or inspectable learner models have been used to support reflection, knowledge awareness, learner model accuracy, and negotiated assessment. Current systems employ many different mechanisms to present and to support human interaction with the learner model. This paper explores the interactions between learners and inspectable learner models using various guidance mechanisms (i.e. following ...

This study aims was investigated to the relationship between preservice science teachers’ 21st-century learner and teacher skills their learning self-efficacy beliefs. The research method used relational method, one of quantitative methods. 318 teachers studying in third fourth grades education department faculties three public universities constitute sample study. Data collection tools this we...

As robots become more commonplace within society, the need for tools that enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning from Demonstration (LfD) offers one promising approach, where the robot learns a policy from teacher task executions. In this work we present an algorithm that incorporates human teacher feedback to enable policy improvement fr...

This paper considers some of the similarities between the goals of supporting and encouraging metacognition in intelligent tutoring systems and learning in general, and the benefits of opening the learner model to the learner and to the teacher. We identify the purposes for an open learner model and provide examples of two important classes of open learner models: those within a particular teac...

In real-world applications of education and human teaching, an effective teacher chooses the next example intelligently based on the learner’s current state. However, most of the existing works in algorithmic machine teaching focus on the batch setting, where adaptivity plays no role. In this paper, we study the case of teaching consistent, version space learners in an interactive setting—at an...

Due to the opportunities provided by the Internet, more and more people are taking advantage of distance learning courses and during the last few years enormous research efforts have been dedicated to the development of distance learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is about 30%. One of the r...