Interesting Links - June 2019
Jun 30, 2019
timnon/pyschedule: pyschedule - resource scheduling in python
pyschedule - resource scheduling in python. Contribute to timnon/pyschedule development by creating an account on GitHub.
Adjustment Trajectories During the College Transition: Types, Personal and Family Antecedents, and Academic Outcomes | SpringerLink
This longitudinal study was aimed to describe and understand student adjustment trajectories during the college transition. Participants came from a large random sample of Quebec high school students. They completed a multidimensional measure of adjustment at two times before entering college and at two other times after college admission. Group-based trajectory analysis showed decreased adjustment for 6% (social adjustment) to 66.1% (academic adjustment) of students over this period, versus improved adjustment for 4.5% (social adjustment) to 11.6% (emotional and academic adjustment). All changes were linear, suggesting progressive changes from Secondary 4 to the second year of college. Multivariate and contingency analyses showed that personal anxiety, academic success, and attention problems in high school were significant determinants for adjustment trajectories, and that these trajectories were subsequently related to perseverance and college graduation.
Learning Communities and Unlinked Sections: A Contrast of Student Backgrounds, Student Outcomes, and In-class Experiences | SpringerLink
Learning communities, the co-registration of student cohorts sharing curricular goals, are often associated with greater academic achievement, retention, inclusivity, and engagement. While not all previous studies unequivocally demonstrate a positive learning community effect on performance, many suggest that students participating in learning communities identify a greater sense of community and interaction with their peers and instructors. Few studies, however, have compiled both academic metrics of success as well as multiple quantitative measures of academic engagement. Moreover, few studies have contrasted these metrics to roughly equivalent classes where the only difference was linkage by a learning community, while holding course content, semester, and instructor constant. Our research goal was to compare academic performance, retention, student background, and engagement of students participating in learning communities to those in similar but unlinked sections. We found no significant differences in academic performance, student background, or engagement between linked learning community classes and unlinked, freestanding sections of the same class. We also found student retention was lower in learning community sections compared to unlinked sections. Some of our findings may reflect our student population of a non-residential, commuter campus where building relationships may be more difficult. We suggest that other metrics of success, including those that quantify interdisciplinary knowledge or skills and collaboration, may better reflect gains of success in learning community environments.
Race Against the Machine - Wikipedia
Lena Vargas on Behance
Startup idea checklist | defmacro
2019 Biggest UI Design Trend
So we have a new UI design trend all over us and it deserves a post here on ABDZ. It’s quite clear to notice it, just spend some time on Dribbble a
SVGs with Sara Soueidan — Syntax Podcast 154
Notes on AI Bias — Benedict Evans
Ray Tracing with Metal [video] | Hacker News
Interactive Charts with D3.js
The BEST Thunderbolt 3 Dock
Why Is NASA Sending an Atomic Clock Into Space
Lambry, Les Animaux tels qu'ils sont (1930)
Effective personal tutoring in Higher Education: Innovations in Education and Teaching International: Vol 0, No 0
Planetary Transfer Calculator
Random Forest vs Neural Network (classification, tabular data) - MLJAR
Which is better: Random Forest or Neural Network? This is a common question, with a very easy answer: it depends :) I will try to show you when it is go...