Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

Assessing students' conceptions related to independence of events and determining probabilities from a sample space has been the focus of research in probability education for over 40 years. While we know a lot from past studies about predictable ways students may reason with well-known tasks, developing a diagnostic assessment that can be used by…

This study was conducted to test whether social-emotional learning skills are a significant predictor of academic achievement and happiness in middle school students. A total of three different data collection tools were used in the study: A Personal Information Form, The Social-Emotional Learning Skills Scale, and The Adolescent Happiness Scale.…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Independent school leaders are continually faced with the challenges of declining enrollment and expanding public options and currently lack a mechanism to understand what influences parents' reenrollment choices. The purpose of this study was to develop and validate a theoretical framework for reenrollment decisions in secular and Catholic…

Purpose: This study aimed at examining the effects of narcissism and family relations on secondary school students' decision-making characteristics. The study also investigated whether or not students' decision-making characteristics differentiated according to gender. Research Methods: Participants were secondary school students who were studying…

This study investigated children's and adolescents' predictions of inclusion and evaluations of exclusion in interracial and same-race peer contexts. The sample (N = 246) consisted of African American (n = 115) and European American (n = 131) children and adolescents who judged the likelihood of including a new peer, evaluated the group's decision…

The purpose of this study was to fit theoretical models of prediction to urban students' decisions to enroll and persist in music ensembles using academic achievement, socioeconomic status (SES), number of parents/guardians at home, mobility, ethnicity, and sex as explanatory variables. Through multinomial logistic regression, I built predictive…

Context: Following the social cognitive career theory of Lent, Brown, and Hackett (1994), the current study examines the effect of role models' professions and practical internship experiences on the choice of professional environment independent of professional interests. Embedded in the Swiss context with its strong vocational training system,…

Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…

Questions about how best to place students into appropriate middle grade math courses have been central to ongoing education policy and practice discussions in California and across the United States. Recent studies have shown that enrolling in algebra I in grade 8 works well for some students but backfires for others. This REL West report…

This mixed design study investigated the predictive and instructional uses of two different types of interim mathematics assessments given in two different districts. One district administered the same summative type of assessment three times a year, while the other district administered a different interim assessment after six-week intervals of…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

This book contains a compilation of papers presented at the International Conference on Education and New Developments (END 2017), organized by the World Institute for Advanced Research and Science (W.I.A.R.S.). Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the…