The aim of the present study is to examine the relationship between professional engagement, career development aspirations, and motivation towards the teaching profession of prospective teachers. Having been structured both with descriptive and relational survey model, the study consisted of 460 volunteer prospective teachers attending…

Over the past 25 years, performance measurement has gained salience in higher education, and with the explosion of structured data and the impact of business analytics and intelligence systems, there are new angles by which big volumes of data can be analyzed. Using traditional analytical approaches, pairs of reciprocal cohorts are considered as…

Producing error-free compositions in academic context is a big challenge for English as a Foreign Language (EFL) students. Since the editing and revision stage plays a significant role in the writing process in enhancing students' writing skills, there have always been various notions on applying an appropriate type of feedback method by the…

In second language teacher education programs microteaching has always been a significant technique to help bridge theory to practice and prepare the trainees for real classroom contexts. The expected benefits from 10 to 15 minute-microteaching sessions are the communication among the trainees and supervisor, collaboration with each other, and…

Text mining techniques have become popular in many disciplines in the era of big data. Author profiling analysis, a method of text mining, is useful for identifying the intellectual structures of research fields and the latest research topics that did not appear from author co-citation analysis. This study analyzed the changing intellectual…

The aim of this study is to examine the basic vertical letters based on the opinions of the primary school teachers. This qualitative research study employed phenomenology as a research method. Critical sampling and appropriate sampling methods were used in determining the participants. The participants of the study consisted of 111 classroom…

Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…

Many medical schools incorporate assessments of personal characteristics, including personality traits, in their selection process. However, little is known about whether changes in personality traits during medical training affect the predictive validity of personality assessments. The present study addressed this issue by examining the stability…

This case study explores pupils' and teachers' views on using Drama Conventions during primary-secondary transition. The intervention took place during the final month of the Scottish academic year (June), in 3 associated state primary 7 classes (the last year of primary school in Scotland) with 78 pupils and 3 teachers. Forty-nine pupils…

Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

Structured Query Language (SQL) is still the de facto database query language widely used in industry and taught in almost all university level database courses. The role of SQL is further strengthened by the emergence of NewSQL systems which use SQL as their query language as well as some NoSQL systems, e.g., Cassandra and DynamoDB, which base…

Sequence classification is an important problem in many real-world applications. Unlike other machine learning data, there are no "explicit" features or signals in sequence data that can help traditional machine learning algorithms learn and predict from the data. Sequence data exhibits inter-relationships in the elements that are…

The requirement for literature searches that identify studies for inclusion in systematic reviews should be systematic, explicit, and reproducible extends, at least by implication, to other types of literature review. However, realist reviews commonly require literature searches that challenge systematic reporting; searches are iterative and…

This qualitative ethnographic single case-study was conducted to investigate what influences pre- and post-tenured humanities faculty course design, the effects of those influences, and their perceptions about career readiness. This study focused on a career readiness initiative at Mid-western Michigan University (MMU), which was built around the…