Recommender systems are widely used in many areas, especially in ecommerce. Recently, they are also applied in e-learning for recommending learning objects (e.g. papers) to students. This chapter introduces state-of-the-art recommender system techniques which can be used not only for recommending objects like tasks/exercises to the students but also for predicting student performance. We formul...

In this paper, we compare pioneer methods of educational data mining field with recommender systems techniques for predicting student performance. Additionally, we study the importance of including students’ attempt time sequences of parameterized exercises. The approaches we use are Bayesian Knowledge Tracing (BKT), Performance Factor Analysis (PFA), Bayesian Probabilistic Tensor Factorization...

A medical school conducted a summer pre-matriculation program. The program provided basic sciences content comparable to first year medical student instruction along with clinical and other learning experiences. The study purpose was to examine self-confidence levels and reasoning skills of a single cohort of students. We examined the association between students’ confidence, reasoning skills a...

Student achievement has been identified as an important contributor to economic growth. This paper investigates the relationship between redistributive government activities and investment in human capital measured by student performance in international comparative tests in Mathematics and Science during the period 1980 to 2003. In fixed effects panel models, government consumption, government...

Intelligent coaching systems create a learning environment analogous to master and apprentice relationship. They monitor the student task performance and generate responses in the context of the student needs and student dialogue history. We built a prototype intelligent coaching system to provide guidance to a student building a model-based financial decision support system in a spreadsheet. T...

We explore the potential of dilemma analysis as an assessment tool to reveal student teachers thinking and concerns about their practice. For this purpose we analyze the dilemma analyses completed by 22 student teachers enrolled in our science teacher preparation program over a period of four semesters. Student teachers dilemmas fall into two main groups: dilemmas about student performance and ...

The student body at the Nelson R. Mandela School of Medicine (NRMSM) is very diverse, representing many cultures, religions, and languages. Research has shown that weakness in English can impact student performance. Recent studies have also highlighted sex-based differences in students' learning and listening styles. These factors pose both challenges and opportunities for teachers of physiolog...

An academic advisor's job requires that the advisor knows university and departmental requirements; available courses to satisfy those requirements, and a method for predicting relative student success for various course options. Such predictions are necessarily uncertain, both because the advisor has limited information about the student and because student performance can be in-uenced by unfo...

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