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Vyas, Vijay S.; Kemp, Benedict; Reid, Scott A. – International Journal of Science Education, 2021
General chemistry are key gateway courses for many Science, Technology, Engineering, and Mathematics (STEM) majors. To improve student outcomes, it is critical both to identify at-risk students and implement evidence-based instructional strategies and interventions. These remain active areas of investigation, with recent literature showing that…
Descriptors: At Risk Students, Chemistry, Science Instruction, Outcomes of Education
Okcay, Murat; Haslam, Matthew J.; Jackson, Adriana R.; Kauppila, Tia M.; Larkin, Breanna; McBride, Chloe K.; Ticotin, Reece A.; Akyazi, Deniz – Journal of STEM Education: Innovations and Research, 2021
The purpose of this paper was to demonstrate University and High School collaboration through a Service Learning exercise. Pedagogical collaboration between the local Prescott High School and senior level mechanical engineering students from Embry Riddle Aeronautical University (ERAU) in Arizona had great benefits to both schools and the students.…
Descriptors: Service Learning, College School Cooperation, Student Interests, STEM Education
Creed, Benjamin; Jabbar, Huriya; Scott, Michael – Educational Administration Quarterly, 2021
Purpose: School choice policies are expected to generate competition leading to improvement in school practices. However, little is known about how competition operates in public education--particularly in charter schools. This paper examines charter-school leaders' competitive perception formation and the actions taken in response to competition.…
Descriptors: Charter Schools, Competition, School Choice, Educational Policy
Wakjira, Abdalganiy; Bhattacharya, Samit – International Journal of Web-Based Learning and Teaching Technologies, 2021
Students in the online learning who have other responsibilities of life such as work and family face attrition. Constructing a model of engagement with smallest granule of time has not been implemented widely, but implementing it is important as it allows to uncover more subtle patterns. We built a student engagement prediction model using 9…
Descriptors: Learner Engagement, Online Courses, Prediction, Models
Altenburger, Lauren E.; Schoppe-Sullivan, Sarah J. – International Journal of Behavioral Development, 2021
Maternal gatekeeping is characterized by the extent to which mothers engage in behaviors that ultimately serve to inhibit (i.e., gate close) or encourage (i.e., gate open) father involvement in childrearing. This study considered direct and indirect associations between observed and reported maternal gatekeeping and children's social-emotional…
Descriptors: Mothers, Parent Child Relationship, Toddlers, Behavior Problems
Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E.; Uhomoibhi, James – International Journal of Information and Learning Technology, 2021
Purpose: Massive open online courses (MOOCs) have received wide publicity and many institutions have invested considerable effort in developing, promoting and delivering such courses. However, there are still many unresolved questions relating to MOOCs and their effectiveness in a blended-learning context. One of the major recurring issues raised…
Descriptors: MOOCs, Questionnaires, Learning Strategies, Blended Learning
Mountjoy, Jack; Hickman Brent R. – National Bureau of Economic Research, 2021
Students who attend different colleges in the U.S. end up with vastly different economic outcomes. We study the role of relative value-added across colleges within student choice sets in producing these outcome disparities. Linking high school, college, and earnings registries spanning the state of Texas, we identify relative college value-added…
Descriptors: Value Added Models, Higher Education, State Universities, Decision Making
Bojorque, Gina; Torbeyns, Joke; Hannula-Sormunen, Minna; Van Nijlen, Daniël; Verschaffel, Lieven – European Journal of Psychology of Education, 2017
This study explored the development of Ecuadorian Kindergartners' spontaneous focusing on numerosity (SFON) during the kindergarten year, as well as the contribution of early numerical abilities to this development. One hundred Kindergartners coming from ten classrooms received two SFON tasks, one at the beginning and one at the end of the school…
Descriptors: Foreign Countries, Kindergarten, Young Children, Numbers
Park, Ryoungsun; Kim, Jiseon; Chung, Hyewon; Dodd, Barbara G. – Educational and Psychological Measurement, 2017
The current study proposes novel methods to predict multistage testing (MST) performance without conducting simulations. This method, called MST test information, is based on analytic derivation of standard errors of ability estimates across theta levels. We compared standard errors derived analytically to the simulation results to demonstrate the…
Descriptors: Testing, Performance, Prediction, Error of Measurement
Castro, Nichol; Pelczarski, Kristin M.; Vitevitch, Michael S. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Methods from network science have examined various aspects of language processing. Clinical populations may also benefit from these novel analyses. Phonological and lexical factors have been examined in adults who stutter (AWS) as potential contributing factors to stuttering, although differences reported are often subtle. We reexamined…
Descriptors: Adults, Stuttering, Language Processing, Performance
Mulder, Saskia F.; Hutteman, Roos; van Aken, Marcel A. G. – International Journal of Behavioral Development, 2017
This longitudinal study focused on clarifying the direction of effects between social anxiety and victimization in a community-based sample. In addition, we studied the moderating effect of gender on this association. A total of 1,649 children (45% boys, approximately 12 years old) of 65 secondary-school classes participated in the study.…
Descriptors: Anxiety, Longitudinal Studies, Adolescents, Foreign Countries
Gulson, Kalervo N.; Webb, P. Taylor – Research in Education, 2017
Contemporary education policy involves the integration of novel forms of data and the creation of new data platforms, in addition to the infusion of business principles into school governance networks, and intensification of socio-technical relations. In this paper, we examine how "computational rationality" may be understood as…
Descriptors: Ethics, Educational Policy, Prediction, Artificial Intelligence
Guo, Hongwen; Robin, Frederic; Dorans, Neil – Journal of Educational Measurement, 2017
The early detection of item drift is an important issue for frequently administered testing programs because items are reused over time. Unfortunately, operational data tend to be very sparse and do not lend themselves to frequent monitoring analyses, particularly for on-demand testing. Building on existing residual analyses, the authors propose…
Descriptors: Testing, Test Items, Identification, Sample Size
Hunnicutt, Sally S.; Grushow, Alexander; Whitnell, Rob – Journal of Chemical Education, 2017
The principles of process-oriented guided inquiry learning (POGIL) are applied to a binary solid-liquid mixtures experiment. Over the course of two learning cycles, students predict, measure, and model the phase diagram of a mixture of fatty acids. The enthalpy of fusion of each fatty acid is determined from the results. This guided inquiry…
Descriptors: Science Instruction, College Science, Undergraduate Study, Chemistry
Montoye, Alexander H. K.; Conger, Scott A.; Connolly, Christopher P.; Imboden, Mary T.; Nelson, M. Benjamin; Bock, Josh M.; Kaminsky, Leonard A. – Measurement in Physical Education and Exercise Science, 2017
This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…
Descriptors: Validity, Electronic Equipment, Prediction, Physical Activity Level

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