NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Zhu, Pei; Garcia, Ivonne; Alonzo, Erick – MDRC, 2019
The growing awareness of the importance of the first year of high school for future success has prompted schools and districts across the country to develop interventions designed for ninth-graders. "Growth mindset" is an intervention that aims to increase students' desire to take on challenges and to enhance their persistence in school…
Descriptors: High School Students, Learning Motivation, Intervention, Grade 9
Peer reviewed Peer reviewed
Direct linkDirect link
Bressler, Denise M.; Shane Tutwiler, M.; Bodzin, Alec M. – Educational Technology Research and Development, 2021
We report on a design-based research study that was conducted over three iterations. It chronicles the design, development, and implementation of School Scene Investigators, a forensic science game series for middle school students that utilizes mobile augmented reality. Played on mobile devices while exploring the school environment, School Scene…
Descriptors: Science Interests, Student Interests, Science Education, Educational Games
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Ocumpaugh, Jaclyn; Baker, Ryan; Gowda, Sujith; Heffernan, Neil; Heffernan, Cristina – British Journal of Educational Technology, 2014
Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy and affect. The automated…
Descriptors: Research Methodology, Educational Research, Information Technology, Data Analysis