This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Practicum experiences are an integral part of teacher education programs. This study drew on perceptions of stakeholders (preservice teachers, cooperating teachers, and university professors) to examine the strengths and weaknesses of two practicum models of an early childhood teacher education program. Findings showed that preservice teachers,…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…

This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…

In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…

Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…

The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…

This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, Turkey, participated in the study. The result showed that the continued or dropped out groups, demonstrated statistical…

University students are often depicted as carefree young adults; however, many students struggle to manage the "normal" stresses of university life and may experience high rates of psychological distress. This study compared a traditional delivery model to a shorter delivery model (i.e., the Southern Cross Model) in terms of students'…

This study measured the emotional responses of students to common service learning activities. Two hypotheses focused on (1) expected changes in the mean emotion scores and (2) expected differences in individual responses. Results showed significant increases in Surprise, Anxiety and Distress and individual differences in Contempt, Disgust and…

Business Driven Action Learning (BDAL), as a learning philosophy that attempts to create real value for business is often used by executive education providers in their management development programmes. As the action learning facilitator, I found that the learning that took place during such a management development programme resulted in…

This longitudinal inductive research unpacks the process of African post-secondary students' Chinese language identity (CLI) with the purpose of exploring a model of CLI development. We traced how 12 multilingual African students developed their CLI during the first year in a Chinese university. Data coded from three rounds of interviews conducted…

Purpose: The purpose of this study is to determine the predictive and explanatory relationship model between procrastination, motivation, anxiety and academic achievement of university students. Research Methods: In this study, a causal research design was used. The study group consisted of 211 participants. In order to determine their motivation…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The aim of this study is to analyze and determine the various socio-psychological orientations of undergraduate students in learning English as a Foreign Language (EFL) to have a comprehensive overview. The study was originally intended by the school administration to improve the quality of instruction and promote positive attitudes by…