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The Unintended Consequences for English Learners of Using the Four-Year Graduation Rate for School Accountability
High school graduation is a landmark event for students. It also plays an important role in the state accountability systems designed to ensure that schools provide all students a high-quality education. Yet relying on a school's four-year graduation rate for federal accountability purposes can have unintended consequences for English Learners, who may need extra time to graduate.
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English Learners in Select States: Demographics, Outcomes, and State Accountability Policies
States are in the midst of designing new policies to hold schools accountable for the education of English Learner (EL) students, as mandated by the federal Every Student Succeeds Act (ESSA). This series of fact sheets sketches the characteristics of immigrant and EL students in 25 states, the gaps between their educational outcomes and those of their peers, and the accountability policies each state is developing.
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Intellectual Disability in KATP Channel Neonatal Diabetes
Neonatal diabetes has been shown to be associated with high neuropsychiatric morbidity in a genotype-phenotype–dependent manner. However, the specific impact of different mutations on intellectual functioning is still insufficiently characterized. Specifically, only a small number of subjects with developmental delay have been comprehensively assessed, creating a knowledge gap about patients carrying the heaviest burden.
We assessed the intellectual functioning and mental health of the complete Norwegian population with KATP channel neonatal diabetes. Eight sulfonylurea-treated children (five with the p.V59M genotype [KCNJ11]) were assessed using age-matched control subjects with type 1 diabetes. The investigations included a physical and motor developmental examination, cerebral MRI, psychometrical examination, and questionnaires assessing intellectual capabilities and psychiatric morbidity.
A strong genotype-phenotype correlation was found, revealing the p.V59M genotype as highly associated with substantial intellectual disability, with no significant correlation with the time of sulfonylurea initiation. Consistent with previous studies, other genotypes were associated with minor cognitive impairment. Cerebral MRI verified normal brain anatomy in all but one child.
We here presented a comprehensive assessment of intellectual functioning in the largest cohort of p.V59M subjects to date. The level of intellectual disability revealed not only changes the interpretation of other psychological measures but downplays a strong protective effect of sulfonylurea. Within the scope of this study, we could not find evidence supporting an early treatment start to be beneficial, although a weaker effect cannot be ruled out.
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Planet already seeing temps beyond human tolerability
Researchers have predicted that if climate change goes unabated, the planet will experience intolerable heat in several decades. But a new study has found that in certain global hot spots, it's already happening.
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Efficacy and Safety of Cannabidiol and Tetrahydrocannabivarin on Glycemic and Lipid Parameters in Patients With Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled, Parallel Group Pilot Study
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Long-Acting Glucagon-Like Peptide 1 Receptor Agonists: A review of their efficacy and tolerability
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Respective Contributions of Glycemic Variability and Mean Daily Glucose as Predictors of Hypoglycemia in Type 1 Diabetes: Are They Equivalent?
To evaluate the respective contributions of short-term glycemic variability and mean daily glucose (MDG) concentration to the risk of hypoglycemia in type 1 diabetes.
People with type 1 diabetes (n = 100) investigated at the University Hospital of Montpellier (France) underwent continuous glucose monitoring (CGM) on two consecutive days, providing a total of 200 24-h glycemic profiles. The following parameters were computed: MDG concentration, within-day glycemic variability (coefficient of variation for glucose [%CV]), and risk of hypoglycemia (presented as the percentage of time spent below three glycemic thresholds: 3.9, 3.45, and 3.0 mmol/L).
MDG was significantly higher, and %CV significantly lower (both P < 0.001), when comparing the 24-h glycemic profiles according to whether no time or a certain duration of time was spent below the thresholds. Univariate regression analyses showed that MDG and %CV were the two explanatory variables that entered the model with the outcome variable (time spent below the thresholds). The classification and regression tree procedure indicated that the predominant predictor for hypoglycemia was %CV when the threshold was 3.0 mmol/L. In people with mean glucose ≤7.8 mmol/L, the time spent below 3.0 mmol/L was shortest (P < 0.001) when %CV was below 34%.
In type 1 diabetes, short-term glycemic variability relative to mean glucose (i.e., %CV) explains more hypoglycemia than does mean glucose alone when the glucose threshold is 3.0 mmol/L. Minimizing the risk of hypoglycemia requires a %CV below 34%.
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February JADA examines connection between healthy eating habits, untreated caries
Greater compliance with dietary guidelines may reduce the chance of untreated caries in adults, according to a study published in the February issue of The Journal of the American Dental Association.
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Prognostic Significance of Long-term HbA1c Variability for All-Cause Mortality in the ACCORD Trial
The association between high glycemic variability and all-cause mortality has been widely investigated in epidemiological studies but rarely validated in glucose-lowering clinical trials. We aimed to identify the prognostic significance of visit-to-visit HbA1c variability in treated patients in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial population.
We studied the risk of all-cause mortality in relation to long-term visit-to-visit HbA1c variability, expressed as coefficient of variation (CV), variability independent of the mean (VIM), and average real variability (ARV), from the 8th month to the transition. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratio (HR) and 95% CI.
Compared with the standard therapy group (n = 4,728), the intensive therapy group (n = 4,755) had significantly lower mean HbA1c (6.6% [49 mmol/mol] vs. 7.7% [61 mmol/mol], P < 0.0001) and lower CV, VIM, and ARV (P < 0.0001). In multivariate adjusted analysis, all three HbA1c variability indices were significantly associated with total mortality in all patients as well as in the standard- and intensive-therapy groups analyzed separately. The hazard ratios for a 1-SD increase in HbA1c variability indices for the all-cause mortality were 1.19 and 1.23 in intensive and standard therapy, respectively. Cross-tabulation analysis showed the third tertile of HbA1c mean and VIM had significantly higher all-cause mortality (HR 2.05; 95% CI, 1.17–3.61; P < 0.01) only in the intensive-therapy group.
Long-term visit-to-visit HbA1c variability was a strong predictor of all-cause mortality. HbA1c VIM combined with HbA1c mean conferred an increased risk for all-cause mortality in the intensive-therapy group.
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Blood Pressure Variability and Risk of Heart Failure in ACCORD and the VADT
Although blood pressure variability is increasingly appreciated as a risk factor for cardiovascular disease, its relationship with heart failure (HF) is less clear. We examined the relationship between blood pressure variability and risk of HF in two cohorts of type 2 diabetes participating in trials of glucose and/or other risk factor management.
Data were drawn from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial and the Veterans Affairs Diabetes Trial (VADT). Coefficient of variation (CV) and average real variability (ARV) were calculated for systolic (SBP) and diastolic blood pressure (DBP) along with maximum and cumulative mean SBP and DBP during both trials.
In ACCORD, CV and ARV of SBP and DBP were associated with increased risk of HF, even after adjusting for other risk factors and mean blood pressure (e.g., CV-SBP: hazard ratio [HR] 1.15, P = 0.01; CV-DBP: HR 1.18, P = 0.003). In the VADT, DBP variability was associated with increased risk of HF (ARV-DBP: HR 1.16, P = 0.001; CV-DBP: HR 1.09, P = 0.04). Further, in ACCORD, those with progressively lower baseline blood pressure demonstrated a stepwise increase in risk of HF with higher CV-SBP, ARV-SBP, and CV-DBP. Effects of blood pressure variability were related to dips, not elevations, in blood pressure.
Blood pressure variability is associated with HF risk in individuals with type 2 diabetes, possibly a consequence of periods of ischemia during diastole. These results may have implications for optimizing blood pressure treatment strategies in those with type 2 diabetes.
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Commercially Available Insulin Products Demonstrate Stability Throughout the Cold Supply Chain Across the U.S.
A recent publication questioned the integrity of insulin purchased from U.S. retail pharmacies. We sought to independently validate the method used, isotope dilution solid-phase extraction (SPE) liquid chromatography mass spectrometry (LC-MS), and expand analysis to two U.S. Pharmacopeia (USP) methods (high-performance LC with ultraviolet detection and LC-MS).
Each method was used to evaluate nine insulin formulations, purchased at four pharmacies, within five geographic locations in the U.S.
All human and analog insulins measured by the USP methods (n = 174) contained the expected quantity of active insulin (100 ± 5 units/mL). When using isotope dilution SPE-LC-MS, units-per-milliliter values were well below product labeling due to unequal recovery of the internal standard compared with target insulin.
Insulin purchased from U.S. pharmacies is consistent with product labeling.
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Metabolic Factors, Lifestyle Habits, and Possible Polyneuropathy in Early Type 2 Diabetes: A Nationwide Study of 5,249 Patients in the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) Cohort
To investigate the association of metabolic and lifestyle factors with possible diabetic polyneuropathy (DPN) and neuropathic pain in patients with early type 2 diabetes.
We thoroughly characterized 6,726 patients with recently diagnosed diabetes. After a median of 2.8 years, we sent a detailed questionnaire on neuropathy, including the Michigan Neuropathy Screening Instrument questionnaire (MNSIq), to identify possible DPN (score ≥4) and the Douleur Neuropathique en 4 Questions (DN4) questionnaire for possible associated neuropathic pain (MNSIq ≥4 + pain in both feet + DN4 score ≥3).
Among 5,249 patients with data on both DPN and pain, 17.9% (n = 938) had possible DPN, including 7.4% (n = 386) with possible neuropathic pain. In regression analyses, central obesity (waist circumference, waist-to-hip ratio, and waist-to-height ratio) was markedly associated with DPN. Other important metabolic factors associated with DPN included hypertriglyceridemia ≥1.7 mmol/L, adjusted prevalence ratio (aPR) 1.36 (95% CI 1.17; 1.59); decreased HDL cholesterol <1.0/1.2 mmol/L (male/female), aPR 1.35 (95% CI 1.12; 1.62); hs-CRP ≥3.0 mg/L, aPR 1.66 (95% CI 1.42; 1.94); C-peptide ≥1,550 pmol/L, aPR 1.72 (95% CI 1.43; 2.07); HbA1c ≥78 mmol/mol, aPR 1.42 (95% CI 1.06; 1.88); and antihypertensive drug use, aPR 1.34 (95% CI 1.16; 1.55). Smoking, aPR 1.50 (95% CI 1.24; 1.81), and lack of physical activity (0 vs. ≥3 days/week), aPR 1.61 (95% CI 1.39; 1.85), were also associated with DPN. Smoking, high alcohol intake, and failure to increase activity after diabetes diagnosis associated with neuropathic pain.
Possible DPN was associated with metabolic syndrome factors, insulin resistance, inflammation, and modifiable lifestyle habits in early type 2 diabetes.
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Early Metabolic Features of Genetic Liability to Type 2 Diabetes: Cohort Study With Repeated Metabolomics Across Early Life
Type 2 diabetes develops for many years before diagnosis. We aimed to reveal early metabolic features characterizing liability to adult disease by examining genetic liability to adult type 2 diabetes in relation to metabolomic traits across early life.
Up to 4,761 offspring from the Avon Longitudinal Study of Parents and Children were studied. Linear models were used to examine effects of a genetic risk score (162 variants) for adult type 2 diabetes on 229 metabolomic traits (lipoprotein subclass–specific cholesterol and triglycerides, amino acids, glycoprotein acetyls, others) measured at age 8 years, 16 years, 18 years, and 25 years. Two-sample Mendelian randomization (MR) was also conducted using genome-wide association study data on metabolomic traits in an independent sample of 24,925 adults.
At age 8 years, associations were most evident for type 2 diabetes liability (per SD-higher) with lower lipids in HDL subtypes (e.g., –0.03 SD, 95% CI –0.06, –0.003 for total lipids in very large HDL). At 16 years, associations were stronger with preglycemic traits, including citrate and with glycoprotein acetyls (0.05 SD, 95% CI 0.01, 0.08), and at 18 years, associations were stronger with branched chain amino acids. At 25 years, associations had strengthened with VLDL lipids and remained consistent with previously altered traits, including HDL lipids. Two-sample MR estimates among adults indicated persistent patterns of effect of disease liability.
Our results support perturbed HDL lipid metabolism as one of the earliest features of type 2 diabetes liability, alongside higher branched-chain amino acid and inflammatory levels. Several features are apparent in childhood as early as age 8 years, decades before the clinical onset of disease.
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Global warming fuels algal bloom disrupting fisheries in Arabian Sea
A new scientific study published Monday found that global warming is fueling a destructive algal bloom that is disrupting fisheries in the Arabian sea.
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Las puertas abiertas para los migrantes venezolanos y nicaragüenses en América Latina y el Caribe se cierran un poco a medida que aumenta la escala de los flujos y la presión en los servicios públicos
WASHINGTON – A pesar de que los gobiernos de América Latina y el Caribe han tomado medidas generosas e innovadoras para lidiar con el desplazamiento forzado desde Venezuela y más recientemente desde Nicaragua, la cálida bienvenida se ha enfriado en algunos lugares a medida que el número de entradas, la presión sobre los servicios públicos y la preocupación del público aumenta.
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MPI Analysis of All State ESSA Accountability Plans Finds Fractured Picture of Education Policy for English Learners & Differing Approaches
WASHINGTON – Four years since the Every Student Succeeds Act (ESSA) was signed into law, all 50 states, the District of Columbia and Puerto Rico have developed accountability plans that include blueprints for serving English Learners (ELs), as well as measuring these students’ progress and being accountable for their outcomes. This marked a significant development, as EL performance was previously not well integrated with factors that determined whether a school was performing well or poorly.
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Understanding Which English Learners Are Counted on School Accountability Measures—and When
WASHINGTON – The federal Every Student Succeeds Act of 2015 (ESSA) requires states to publicly report annual performance and graduation rates for students in a range of areas, breaking out results for subgroups with unique characteristics, including English Learners (ELs). The objective is to help schools identify and close achievement gaps experienced by historically underserved groups of students.
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Muhallabiya (citris pudding)
This recipe was featured on Foodie Tuesday, a weekly segment with Richelle Hunt on Drive, 774 ABC Melbourne, 3:30 PM, courtesy of Hana Assafiri. Hana's new book is called "Moroccan Soup Bar: Recipes of a Spoken Menu."
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Sweet wasabi dressing
10g Wasabi paste 25ml Rice wine 25ml White vinegar 50ml Vegetable oil 5ml Soy sauce Salt and pepper
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Visit-to-Visit HbA1c Variability Is Associated With Cardiovascular Disease and Microvascular Complications in Patients With Newly Diagnosed Type 2 Diabetes
To investigate the association between visit-to-visit HbA1c variability and cardiovascular events and microvascular complications in patients with newly diagnosed type 2 diabetes.
This retrospective cohort study analyzed patients from Tayside and Fife in the Scottish Care Information–Diabetes Collaboration (SCI-DC) who were observable from the diagnosis of diabetes and had at least five HbA1c measurements before the outcomes were evaluated. We used the previously reported HbA1c variability score (HVS), calculated as the percentage of the number of changes in HbA1c >0.5% (5.5 mmol/mol) among all HbA1c measurements within an individual. The association between HVS and 10 outcomes was assessed using Cox proportional hazards models.
We included 13,111–19,883 patients in the analyses of each outcome. The patients with HVS >60% were associated with elevated risks of all outcomes compared with the lowest quintile (for example, HVS >80 to ≤100 vs. HVS ≥0 to ≤20, hazard ratio 2.38 [95% CI 1.61–3.53] for major adverse cardiovascular events, 2.4 [1.72–3.33] for all-cause mortality, 2.4 [1.13–5.11] for atherosclerotic cardiovascular death, 2.63 [1.81–3.84] for coronary artery disease, 2.04 [1.12–3.73] for ischemic stroke, 3.23 [1.76–5.93] for heart failure, 7.4 [3.84–14.27] for diabetic retinopathy, 3.07 [2.23–4.22] for diabetic peripheral neuropathy, 5.24 [2.61–10.49] for diabetic foot ulcer, and 3.49 [2.47–4.95] for new-onset chronic kidney disease). Four sensitivity analyses, including adjustment for time-weighted average HbA1c, confirmed the robustness of the results.
Our study shows that higher HbA1c variability is associated with increased risks of all-cause mortality, cardiovascular events, and microvascular complications of diabetes independently of high HbA1c.
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Application of Adult-Learning Principles to Patient Instructions: A Usability Study for an Exenatide Once-Weekly Injection Device
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Squirrels and Stock Brokers, Or: Innovation Dilemmas, Robustness and Probability
Decisions are made in order to achieve desirable outcomes. An innovation dilemma arises when a seemingly more attractive option is also more uncertain than other options. In this essay we explore the relation between the innovation dilemma and the robustness of a decision, and the relation between robustness and probability. A decision is robust to uncertainty if it achieves required outcomes despite adverse surprises. A robust decision may differ from the seemingly best option. Furthermore, robust decisions are not based on knowledge of probabilities, but can still be the most likely to succeed.
Squirrels, Stock-Brokers and Their Dilemmas
Decision problems.
Imagine a squirrel nibbling acorns under an oak tree. They're pretty good acorns, though a bit dry. The good ones have already been taken. Over in the distance is a large stand of fine oaks. The acorns there are probably better. But then, other squirrels can also see those trees, and predators can too. The squirrel doesn't need to get fat, but a critical caloric intake is necessary before moving on to other activities. How long should the squirrel forage at this patch before moving to the more promising patch, if at all?
Imagine a hedge fund manager investing in South African diamonds, Australian Uranium, Norwegian Kroners and Singapore semi-conductors. The returns have been steady and good, but not very exciting. A new hi-tech start-up venture has just turned up. It looks promising, has solid backing, and could be very interesting. The manager doesn't need to earn boundless returns, but it is necessary to earn at least a tad more than the competition (who are also prowling around). How long should the manager hold the current portfolio before changing at least some of its components?
These are decision problems, and like many other examples, they share three traits: critical needs must be met; the current situation may or may not be adequate; other alternatives look much better but are much more uncertain. To change, or not to change? What strategy to use in making a decision? What choice is the best bet? Betting is a surprising concept, as we have seen before; can we bet without knowing probabilities?
Solution strategies.
The decision is easy in either of two extreme situations, and their analysis will reveal general conclusions.
One extreme is that the status quo is clearly insufficient. For the squirrel this means that these crinkled rotten acorns won't fill anybody's belly even if one nibbled here all day long. Survival requires trying the other patch regardless of the fact that there may be many other squirrels already there and predators just waiting to swoop down. Similarly, for the hedge fund manager, if other funds are making fantastic profits, then something has to change or the competition will attract all the business.
The other extreme is that the status quo is just fine, thank you. For the squirrel, just a little more nibbling and these acorns will get us through the night, so why run over to unfamiliar oak trees? For the hedge fund manager, profits are better than those of any credible competitor, so uncertain change is not called for.
From these two extremes we draw an important general conclusion: the right answer depends on what you need. To change, or not to change, depends on what is critical for survival. There is no universal answer, like, "Always try to improve" or "If it's working, don't fix it". This is a very general property of decisions under uncertainty, and we will call it preference reversal. The agent's preference between alternatives depends on what the agent needs in order to "survive".
The decision strategy that we have described is attuned to the needs of the agent. The strategy attempts to satisfy the agent's critical requirements. If the status quo would reliably do that, then stay put; if not, then move. Following the work of Nobel Laureate Herbert Simon, we will call this a satisficing decision strategy: one which satisfies a critical requirement.
"Prediction is always difficult, especially of the future." - Robert Storm Petersen
Now let's consider a different decision strategy that squirrels and hedge fund managers might be tempted to use. The agent has obtained information about the two alternatives by signals from the environment. (The squirrel sees grand verdant oaks in the distance, the fund manager hears of a new start up.) Given this information, a prediction can be made (though the squirrel may make this prediction based on instincts and without being aware of making it). Given the best available information, the agent predicts which alternative would yield the better outcome. Using this prediction, the decision strategy is to choose the alternative whose predicted outcome is best. We will call this decision strategy best-model optimization. Note that this decision strategy yields a single universal answer to the question facing the agent. This strategy uses the best information to find the choice that - if that information is correct - will yield the best outcome. Best-model optimization (usually) gives a single "best" decision, unlike the satisficing strategy that returns different answers depending on the agent's needs.
There is an attractive logic - and even perhaps a moral imperative - to use the best information to make the best choice. One should always try to do one's best. But the catch in the argument for best-model optimization is that the best information may actually be grievously wrong. Those fine oak trees might be swarming with insects who've devoured the acorns. Best-model optimization ignores the agent's central dilemma: stay with the relatively well known but modest alternative, or go for the more promising but more uncertain alternative.
"Tsk, tsk, tsk" says our hedge fund manager. "My information already accounts for the uncertainty. I have used a probabilistic asset pricing model to predict the likelihood that my profits will beat the competition for each of the two alternatives."
Probabilistic asset pricing models are good to have. And the squirrel similarly has evolved instincts that reflect likelihoods. But a best-probabilistic-model optimization is simply one type of best-model optimization, and is subject to the same vulnerability to error. The world is full of surprises. The probability functions that are used are quite likely wrong, especially in predicting the rare events that the manager is most concerned to avoid.
Robustness and Probability
Now we come to the truly amazing part of the story. The satisficing strategy does not use any probabilistic information. Nonetheless, in many situations, the satisficing strategy is actually a better bet (or at least not a worse bet), probabilistically speaking, than any other strategy, including best-probabilistic-model optimization. We have no probabilistic information in these situations, but we can still maximize the probability of success (though we won't know the value of this maximum).
When the satisficing decision strategy is the best bet, this is, in part, because it is more robust to uncertainty than another other strategy. A decision is robust to uncertainty if it achieves required outcomes even if adverse surprises occur. In many important situations (though not invariably), more robustness to uncertainty is equivalent to being more likely to succeed or survive. When this is true we say that robustness is a proxy for probability.
A thorough analysis of the proxy property is rather technical. However, we can understand the gist of the idea by considering a simple special case.
Let's continue with the squirrel and hedge fund examples. Suppose we are completely confident about the future value (in calories or dollars) of not making any change (staying put). In contrast, the future value of moving is apparently better though uncertain. If staying put would satisfy our critical requirement, then we are absolutely certain of survival if we do not change. Staying put is completely robust to surprises so the probability of success equals 1 if we stay put, regardless of what happens with the other option. Likewise, if staying put would not satisfy our critical requirement, then we are absolutely certain of failure if we do not change; the probability of success equals 0 if we stay, and moving cannot be worse. Regardless of what probability distribution describes future outcomes if we move, we can always choose the option whose likelihood of success is greater (or at least not worse). This is because staying put is either sure to succeed or sure to fail, and we know which.
This argument can be extended to the more realistic case where the outcome of staying put is uncertain and the outcome of moving, while seemingly better than staying, is much more uncertain. The agent can know which option is more robust to uncertainty, without having to know probability distributions. This implies, in many situations, that the agent can choose the option that is a better bet for survival.
Wrapping Up
The skillful decision maker not only knows a lot, but is also able to deal with conflicting information. We have discussed the innovation dilemma: When choosing between two alternatives, the seemingly better one is also more uncertain.
Animals, people, organizations and societies have developed mechanisms for dealing with the innovation dilemma. The response hinges on tuning the decision to the agent's needs, and robustifying the choice against uncertainty. This choice may or may not coincide with the putative best choice. But what seems best depends on the available - though uncertain - information.
The commendable tendency to do one's best - and to demand the same of others - can lead to putatively optimal decisions that may be more vulnerable to surprise than other decisions that would have been satisfactory. In contrast, the strategy of robustly satisfying critical needs can be a better bet for survival. Consider the design of critical infrastructure: flood protection, nuclear power, communication networks, and so on. The design of such systems is based on vast knowledge and understanding, but also confronts bewildering uncertainties and endless surprises. We must continue to improve our knowledge and understanding, while also improving our ability to manage the uncertainties resulting from the expanding horizon of our efforts. We must identify the critical goals and seek responses that are immune to surprise.
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Habit: A Response to the Unknown
David Hume explained that we believe by habit that logs will burn, stones will fall, and endless other past patterns will recur. No experiment can prove the future recurrence of past events. An experiment belongs to the future only until it is implemented; once completed, it becomes part of the past. In order for past experiments to prove something about the future, we must assume that the past will recur in the future. That's as circular as it gets.
But without the habit of believing that past patterns will recur, we would be incapacitated and ineffectual (and probably reduced to moping and sobbing). Who would dare climb stairs or fly planes or eat bread and drink wine, without the belief that, like in the past, the stairs will bear our weight, the wings will carry us aloft, and the bread and wine will nourish our body and soul. Without such habits we would become a jittering jelly of indecision in the face of the unknown.
But you can't just pull a habit out of a hat. We spend great effort instilling good habits in our children: to brush their teeth, tell the truth, and not pick on their little sister even if she deserves it.
As we get older, and I mean really older, we begin to worry that our habits become frozen, stodgy, closed-minded and constraining. Younger folks smile at our rigid ways, and try to loosen us up to the new wonders of the world: technological, culinary or musical. Changing your habits, or staying young when you aren't, isn't always easy. Without habits we're lost in an unknowable world.
And yet, openness to new ideas, tastes, sounds and other experiences of many sorts can itself be a habit, and perhaps a good one. It is the habit of testing the unknown, of acknowledging the great gap between what we do know and what we can know. That gap is an invitation to growth and awe, as well as to fear and danger.
The habit of openness to change is not a contradiction. It is simply a recognition that habits are a response to the unknown. Not everything changes all the time (or so we're in the habit of thinking), and some things are new under the sun (as newspapers and Nobel prize committees periodically remind us).
Habits, including the habit of open-mindedness, are a good thing precisely because we can never know for sure how good or bad they really are.
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How to Teach Math to Students With Disabilities, English Language Learners
Experts recommend emphasizing language skills, avoiding assumptions about ability based on broad student labels, and focusing on students’ strengths rather than their weaknesses.
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Trump Taps a Nebraska Education Official for Rehabilitative Services Post
President Donald Trump has tapped Mark Schultz, a deputy commissioner of education in Nebraska, to serve as commissioner of the rehabilitation services administration at the Education Department.
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Yonkers, N.Y., District Commits to More Inclusion of Students with Disabilities
The U.S. Department of Education's office for civil rights said that some students were placed in self-contained special education settings without an individualized justification for doing so.
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New York Denied ESSA Waiver to Test Students With Disabilities Off Grade Level
The state will be required to test all students using grade level tests, except for those with significant cognitive disabilities.
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How to Teach Math to Students With Disabilities, English Language Learners
Experts recommend emphasizing language skills, avoiding assumptions about ability based on broad student labels, and focusing on students’ strengths rather than their weaknesses.
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California Reforms Accountability
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With Waiver Denial, Utah Mulls Second Accountability System
Utah is one of four states where state laws conflict with components of the federal Every Student Succeeds Act meaning districts may have to answer to two separate accountability systems this fall.
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Cam Newton Mentors Next Generation of Football Stars | Bless the Babies Ep 1
Cam Newton is more than a quarterback. He's a father, a son, a coach. And to three young men from Georgia and Alabama, a mentor. Look back as the 2018 class of Cam Newton's 7 on 7 football team begins their journey.
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West Virginia signs deal with brand consultant ahead of college athletes' potential ability for endorsements
The NCAA is expected to formally approve rules changes that will allow athletes to get endorsement income in 2021.
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Building confidence in enrolling learners with disability for providers of education and training / ACPET, NDCO.
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Orange-bellied parrot habitat restoration and management project : draft final report / prepared by Lauren Barrow (King Island Natural Resource Management Group Inc.).
"This report is the final report for the Orange-bellied Parrot Habitat Management and Restoration Project carried out on King Island. The report relates to the activity period starting 30th of June 2007 and finishing on the 25th of May 2008."--Introduction.
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Costs and persons under a disability : the potential for a conflict of interest / presented by Master Norman, District Court of South Australia.
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CTP Update - Claims for Loss of Dependency under part 5 of the Civil Liability Act 1936.
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Australia's Second Open Government National Action Plan 2018-20 / Department of the Prime Minister and Cabinet.
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Cabinet Handbook / Australian Government, Department of the Prime Minister and Cabinet.
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Cabinet Handbook / Australian Government, Department of the Prime Minister and Cabinet.
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Commonwealth child safe framework / Department of the Prime Minister and Cabinet, National Office for Child Safety.
This publication outlines the Commonwealth Child Safe Framework requirements and guidance for its implementation.The primary audience for this publication is Commonwealth entities. This publication has been developed to assist entities to understand and implement the requirements of the Commonwealth Child Safe Framework.
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The community development programme : evaluation of participation and employment outcomes / Department of the Prime Minister and Cabinet.
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Credit when it's due : timely reminders help consumers reduce their credit card debt / Behavioural Economics Team of the Australian Government, Commonwealth of Australia, Department of the Prime Minister and Cabinet.
Consumers who only make the minimum repayment on their credit card could be paying hundreds of dollars a year in high interest payments. To help, BETA partnered with the Treasury and Westpac to see if reminders could encourage consumers to pay earlier and save money. We found any type of SMS reminder resulted in a $134 (28 per cent) increase in repayments in the following month, compared to those who received no message. However, different SMS messages all had a similar impact and we were unable to detect an effect from sending email reminders. Overall, the findings suggest that sending an SMS reminder to credit card consumers before their payment due date is a simple, cost-effective way to improve their financial wellbeing.
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Gender balance on Australian government boards report 2016-17 / Department of the Prime Minister and Cabinet.
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Portfolio additional estimates statements 2018-19 : explanations of additional estimates 2018-19 : Prime Minister and Cabinet Portfolio / Department of the Prime Minister and Cabinet.
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Realising the Potential : a review of the Army Aboriginal Community Assistance Programme : a collaborative report researched and prepared by the Australian Government Department of the Prime Minister and Cabinet and the Australian Army / written by
In 2017 the Department of the Prime Minister and Cabinet and Australian Defence Force (Australian Army) undertook a joint review of the Army Aboriginal Community Assistance Programme (AACAP) to assess its efficiency and effectiveness. The review found AACAP is a highly regarded and effective means of achieving positive environmental and primary health outcomes for Aboriginal and Torres Strait Islander communities while providing valuable training outcomes for Army. AACAP's objectives align with the Council of Australian Governments (COAG) 'Closing the Gap' targets in Indigenous disadvantage and with the Australian Government's Indigenous Advancement Strategy (IAS). The report identified areas for potential improvement, recommending greater support for the sustainability of infrastructure and project investment, enhanced employment and training opportunities and strengthening of project governance.
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Richer veins for behavioural insight : an exploration of the opportunities to apply behavioural insights in public policy / Behavioural Economics Team of the Australian Government, Commonwealth of Australia, Department of the Prime Minister and Cabinet.
The use of behavioural insights in public policy has traditionally focused on small, low cost 'nudges' to improve communications, increase compliance and enhance the way services are delivered. But BETA has begun to look beyond to identify a smaller set of 'richer veins' where BI can offer high financial and social impact. These areas includes consumer choice, financial decision-making and personal wellbeing.