Although research on private tutoring has gained visibility in recent years, private tutoring in English (PT-E) has not received notable attention. This paper examines students' perceptions of PT-E in Bangladesh in terms of its necessity and helpfulness, peer pressure in PT-E participation and ethicality of PT-E practice and government…

A problem faced by many instructors is that of designing exams that accurately assess the abilities of the students. Typically, these exams are prepared several days in advance, and generic question scores are used based on rough approximation of the question difficulty and length. For example, for a recent class taught by the author, there were…

Whilst increasingly widespread, teaching online can be a solo endeavour. In this paper, we consider how peer exchange between online tutors from different institutions may offer a solution to this professional isolation. We report on a cross-institutional peer observation and mentoring programme between the Universities of York (UK) and Waikato…

We developed a method for using Coh-Metrix to automatically analyze tutorial dialogues. Coh-Metrix, a web-based tool for automatically evaluating text, is freely available to researchers. We applied the method to 190 tutorial dialogues between women and "BRCA Gist" from two experiments. "BRCA Gist" is an intelligent tutoring…

Intelligent computer assisted language learning (ICALL) applications for Indigenous languages are a relatively new avenue for computer assisted language learning (CALL). CALL allows language learners to practise a wide range of grammatical exercises and receive feedback on their answers outside of class time. ICALL is essential for dynamically…

In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…

Context personalization--the incorporation of students' out-of-school interests into learning tasks--has recently been shown to positively affect students' situational interest and their performance and learning in mathematics. However, few studies have shown effects on both interest and achievement, drawing into question whether context…

We conducted a 14-week experimental study of 2 versions of a relatively comprehensive RC intervention that involved 50 classroom teachers, 15 tutors, and 120 children drawn in equal proportions from grades 3 and 5 in 13 schools in a large urban school district. Students were randomly assigned in equal numbers to the 2 tutoring conditions and a…

This study assesses the extent to which machine learning techniques can be used to predict question quality. An algorithm based on textual complexity indices was previously developed to assess question quality to provide feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). In…

The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…

When modeling student learning, tutors that use the Knowledge Tracing framework often assume that all students have the same set of model parameters. We find that when fitting parameters to individual students, there is significant variation among the individual's parameters. We examine if this variation is important in terms of instructional…

This study aimed to better understand the role that an undergraduate teacher exploration program for STEM majors played in STEM teacher education and recruitment. Utilizing journal data from 126 undergraduate students engaged in an intensive and immersive four-day internship that took place in Summer 2015 and Summer 2016, this study examined how…

"Success Boston Coaching" is a coaching intervention for students who are traditionally underrepresented in college to help them transition from high school to college and progress in college. Students are paired with a dedicated coach starting as early as the spring of their senior year of high school and receive coaching through their…

Online education and in particular Massive Open Online Courses (MOOCs) are often regarded as a way to solve global educational challenges. In this article, we highlight the students' uptake of such a 'digital solution'. Presenting initial findings from a research project in Germany, we situate our investigation in the specific context of digital…

Alternative Education Settings (AES) aim to provide active and inspiring instructional strategies that would reengage students at-risk in learning and improve their academic achievements. Classwide Peer Tutoring (CWPT) is an evidence-based instructional method that when combined with behaviorally oriented procedures yields positive effects on…