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Kardas, Ferhat; Cam, Zekeriya; Eskisu, Mustafa; Gelibolu, Sedat – Eurasian Journal of Educational Research, 2019
Purpose: The mainstream psychology has mostly focused on the negative factors that threaten human mental health. With the emergence of positive psychology approach, the human strengths have started to be studied and the number of studies on the issue of happiness and well-being has increased. The aim of this research is to reveal the level of…
Descriptors: Psychological Patterns, Well Being, Life Satisfaction, Correlation
Yeung, Chun-Kit; Yeung, Dit-Yan – International Journal of Artificial Intelligence in Education, 2019
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community. Specifically, it facilitates research in developing predictive models that predict whether the first job of a student out of…
Descriptors: Data Analysis, Careers, Prediction, Employment
Understanding the Development of Face and Emotion Processing under a Predictive Processing Framework
Pereira, Mariana R.; Barbosa, Fernando; de Haan, Michelle; Ferreira-Santos, Fernando – Developmental Psychology, 2019
In the present work, we explore the development of processing of emotional facial configurations under a predictive processing (or predictive coding) framework. Predictive processing provides a new approach to brain function that has been used to explain a wide range of processes, from perception to socioemotional processing. The explanatory power…
Descriptors: Cognitive Development, Nonverbal Communication, Emotional Response, Nonverbal Ability
Choo, Owen Z. H.; Prihadi, Kususanto – International Journal of Evaluation and Research in Education, 2019
This study focused on the relationship of two dimensions of perfectionism (perfectionistic strivings, and perfectionistic concerns) and academic performance, with the role of academic resilience as mediator. Participants including 132 undergraduate students form age range 18 to 25, from first year to fifth year in their studies mainly from a…
Descriptors: Foreign Countries, Academic Persistence, Resilience (Psychology), Correlation
Curcic, Maja; Andringa, Sible; Kuiken, Folkert – Language Learning, 2019
This study investigated whether second language (L2) learners can develop predictive processing of determiners after a brief exposure to a novel language, and whether this depends on learners' awareness for the target structure and their cognitive aptitudes. One hundred L2 learners received auditory exposure to a miniature language based on Fijian…
Descriptors: Second Language Learning, Prediction, Novelty (Stimulus Dimension), Malayo Polynesian Languages
Adekitan, Aderibigbe Israel; Noma-Osaghae, Etinosa – Education and Information Technologies, 2019
The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and…
Descriptors: Foreign Countries, Data Collection, Educational Research, Prediction
Westman, Brittainy; Whitworth, Brooke A. – Science and Children, 2019
PEOE (predict, explain, observe, explain) is a strategy that supports conceptual change (Dial et al. 2009). "Conceptual change" is a process through which students can change their understandings, ideas, or beliefs (diSessa 1993; Konicek-Moran and Keeley 2015). This style of lesson allows students to express their scientific ideas…
Descriptors: Science Instruction, Toys, Physics, Scientific Concepts
Jaiswal, Garima; Sharma, Arun; Yadav, Sumit Kumar – International Journal of Information and Communication Technology Education, 2019
In the world of technology, tools and gadgets, a huge amount of data is produced every second in applications ranging from medical science, education, business, agriculture, economics, retail and telecom. Higher education institutes play an important role in the overall development of any nation. For the successful operation of these institutions,…
Descriptors: Prediction, Dropouts, Dropout Rate, Classification
Steedle, Jeffrey T.; Radunzel, Justine; Mattern, Krista D. – Journal of Educational Measurement, 2019
Ensuring postsecondary readiness is a goal of K-12 education, but it is unclear whether high school students should get different messages about the required levels of academic preparation depending on their postsecondary trajectories. This study estimated readiness benchmark scores on a college admissions test predictive of earning good grades in…
Descriptors: College Admission, College Entrance Examinations, College Readiness, High School Students
Spychalska, Maria; Kontinen, Jarmo; Noveck, Ira; Reimer, Ludmila; Werning, Markus – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
It is generally assumed that bare numerals (e.g., "three") have two readings: the "exactly" and the "at least" reading. It has been a matter of debate whether one of these two readings is derived from the other pragmatically. To shed light on this question research has aimed at characterizing the processing demands…
Descriptors: Sentences, Numbers, Prediction, Ambiguity (Context)
Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
This paper surveys the state of the art on prediction in MOOCs through a systematic literature review (SLR). The main objectives are: first, to identify the characteristics of the MOOCs used for prediction, second, to describe the prediction outcomes, third, to classify the prediction features, fourth, to determine the techniques used to predict…
Descriptors: Prediction, Large Group Instruction, Online Courses, Educational Research
Kurlaender, Michal; Reed, Sherrie; Hurtt, Alexandria – Policy Analysis for California Education, PACE, 2019
Given the importance of a college degree for both individual and societal economic prosperity, policymakers and educators are focused on strengthening the path to college beyond college entry. In this report, we synthesize the existing literature on four factors key to educational attainment--aspirations and beliefs, academic preparation,…
Descriptors: College Readiness, Educational Attainment, Student Attitudes, Academic Aspiration
Pigeau, Antoine; Aubert, Olivier; Prié, Yannick – International Educational Data Mining Society, 2019
Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several…
Descriptors: Success, Large Group Instruction, Online Courses, Prediction
Chen, Guanliang; Ferreira, Rafael; Lang, David; Gasevic, Dragan – International Educational Data Mining Society, 2019
For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…
Descriptors: Student Attitudes, Intelligent Tutoring Systems, Computer Software, Dialogs (Language)
Lane, Stephanie R. – ProQuest LLC, 2019
Social Cognitive Career Theory (SCCT) presupposes that contextual supports play key roles in the career development process. However, little research has examined the relationship between high school career development experiences and persisting in a college major. The present study examined the predictive influence of the contextual support…
Descriptors: Career Development, Self Efficacy, Prediction, Majors (Students)

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